Alle afleveringen
391 afleveringen, van nieuw naar oud
-
Andrew Wilkinson: AI Agents run my business and life
15 mei 2026 · 47 min
If you want more workflows and tactics to build a business with AI, check out this free workshop: https://www.ideabrowser.com/workshop Lees meer
I sit down with Andrew Wilkinson and we go deep on how he's restructured his work, his health, and his family office around AI agents. Andrew walks me through Deep Personality (an app he vibe-coded after running psychological screens on himself and his girlfriend), the autonomous SaaS business he runs through agent harnesses like Harbor, and the vector-database setup that lets him query Tiny and his personal holding company like an oracle. We cover where software is headed, why he's pouring capital into TSMC and data center stocks, and the daily AI workflows he's built around health, email triage, and a personalized morning podcast. Listeners walk away with concrete prompting tactics, agent architectures, and a frank read on where the moats are moving.
Timestamps:
00:00 – Intro
01:50 – The OpenClaw and Claude Code Unlock
04:53 – Demo: Deep Personality App
10:38 – Harbor: An Agent Harness For Real Companies
12:30 – Autonomous Companies: Hype Vs. Reality
17:30 – Credibility As The Missing Layer For Vibe-Coded Products
20:14 – Centralizing Data Pipelines
21:35 – Vector Databases
23:22 – Transitioning Companies to Agentic Companies
25:22 – Where Andrew Would Build Today
27:10 – The New Interface
28:21 – Why build now
30:59 – Replacing Adapar: A Networth Wealth Platform
33:07 – Services As The New Software
35:24 – G-Brain Explained and Andrew’s OpenClaws
45:09 – Closing Thoughts
Key Points
Andrew runs a SaaS business called Deep Personality almost entirely through agents, generating roughly $20K of revenue while debugging eats half his time.
Harbor (github.com/geekforbrains/Harbor) gives agents a GUI-style harness — dev, marketing, and support agents that can autonomously merge PRs and adjust ad budgets across PostHog, Meta, and Reddit.
Andrew's family office swapped headcount for a $40K/month Claude bill; his CFO, …
-
The $1M+ Solo AI Agent Business (Full Course)
12 mei 2026 · 48 min
Nick agreed to personally set up your Orgo in a 15 min call: https://startup-ideas-pod.link/orgo_ai Lees meer
I sit down with Nick from Orgo to break down exactly how to run a one-person AI agent business that can realistically clear a few million dollars a year. Nick walks through the offer, the verticals worth chasing, the full software stack, and the live setup of an agent that manages other agents. We focus on tactics over theory, with specific tools, pricing, and the playbook for landing customers as a solopreneur. By the end, anyone with solid AI fluency will have a clear path from offer design to fulfillment.
Timestamps
00:00 – Intro
02:54 – Designing the AI Agent Business Offer
06:38– Selling an AI Employee, Not an Agent
07:26 – Industries to Target (and Two to Avoid)
14:54 – Content Is Overpowered and How to Get Customers
17:51 – The Customer-Facing Tool Stack
20:49 – Building Agents Stack
25:51 – Model Picks: GPT 5.5, GLM 5.1, Kimmy, Opus 4.7
27:08 – Nick’s Stack
28:14 – Why Obsidian Is the Second Brain Layer
30:22 – Live Walkthrough: Spinning Up a Cloud Computer in Orgo
33:53 – Cloud Computers vs. Mac Minis
38:37 – Building Agents and Structuring Workspaces for Customers
43:56 – Watchdogs, Observability, and Reliability
45:28 – Closing Thoughts on the Solopreneur Era
Key Points
Sell unlimited agents, unlimited usage, and unlimited support to remove friction; most customers actually use one to three agents.
Avoid healthcare and finance to start; focus on legacy verticals like marketing, law, insurance, manufacturing, wholesale, and real estate.
OpenClaw agents go for around 5K a month; Hermes agents can go for 10K a month.
The full stack: Granola, Trello, Loom, Superhuman, Asana, Codex, Hermes, Orgo, Composio, Agent Mail, and Obsidian.
GPT 5.5 is the recommended default model for tool calling; GLM 5.1 and Kimmy work for lighter tasks; Opus 4.7 fits long-horizon coding.
Use agents to set up other agents — pair Cloud Code or Codex with MCPs li…
-
7 tiny AI agent ideas I built with Genspark Claw
12 mei 2026 · 30 min
Get started building your tiny AI Agent business with Genspark Claw: https://www.genspark.ai/?utm_source=po&utm_campaign=GregIsenberg
In this solo episode, I share seven tiny, cash-flowing startup ideas you can build with AI in just a few prompts. I walk through how to use Genspark Claw, Genspark's new in-the-cloud agent product running Sonnet 4.6, and demonstrate two ideas I have already built (a dead domain flipper and a local restaurant liquidation broker), build a third idea live on camera (a hiring-signal cold outreach machine), and hand you a five-step framework for generating your own ideas. The goal is simple: give you the creative juices, the framework, and the practical know-how to ship a $200-$1,500/day business with AI as your employee.
Timestamps
00:00 – Intro
01:28 – Idea 1: The Dead Domain Flipper
06:19 – Idea 2: Local Restaurant Liquidation Broker
11:03 – Idea 3: Hiring-Signal Cold Outreach Machine (building live)
14:30 – Prevent Sleep, Heartbeat, and Treating Genspark Claw Like an Employee
15:52 – Skills, Local File Access, and What Else Genspark Claw Can Do
17:24 – Reviewing the 14 Personalized Cold Emails It Wrote
20:35 – More Ideas: Buy-or-Build Memos, Dead Product Hunt SEO, Forgotten Apps
24:18 – Framework for finding ideas: Public Data, Neglected Assets, Clear Buyer
26:33 – What Else Comes With Genspark AI Works Base 4.0
Key Points
Tiny, boring, cash-flowing ideas beat billion-dollar ideas when you want to ship this month.
GenClaw plus Slack turns Claude Sonnet 4.6 into an always-on AI employee for around $25/month.
The repeatable pattern is: messy feed → mispriced asset → trigger event → obvious buyer → liquidity point.
Three hunting lenses: places of constant change, things people ignore, and assets with clear urgency and spread.
Talking to your agent in plain English ("strip the HTML entities, make the budget $2,500") replaces most engineering work.
Selling agents with outcomes is the new SaaS, and shifts the model from per-seat pricing to … Lees meer -
My AI Design Workflow That Doesn't Ship Slop
12 mei 2026 · 51 min
I sit down with Meng To for his second appearance on the pod to dig into design md, Google's newly open-sourced format for capturing the soul of a design and porting it across every medium and tool. Meng walks me through a live demo of how he uses design md alongside skills, HTML references, and tools like Aura, New Form, Codex, and OpenClaw to ship landing pages, motion design, slides, and mobile mocks that actually feel custom. We get into the design drift problem with one-shot prompts, why taste is the real moat for builders right now, and how he runs four products as effectively a team of one while iterating a thousand-plus prompts deep. If you build with agents and you want your work to stand out from the sea of purple-gradient lookalikes, this one is for you. Lees meer
Timestamps
00:00 – Intro
04:00 – What design md actually is
07:17 – Examples: one design DNA across slides, promo videos, motion
09:31 – How to create design system
14:05 – The importance of taste and design
18:28 – Variant, remixing, and skills as ingredients
21:36 – Live demo: creating a landing page with design md and HTML
24:36 – Thoughts on Google Stitch
25:41 – Being fast and at edges is an unfair advantage
29:29 – Midjourney parallels and the queuing flow state
31:44 – Walking through skills (skeuomorphic, 3D, lasers)
34:07 – Now everyone is a designer
36:47 – The full design workflow
38:50 – Iteration versus remix
39:24 – Judgment per minute as the new craft
41:06 – Solo building vs building a team
44:34 – Taste is the moat
48:25 – Building a second brain for design inspiration
50:41 – Closing thoughts
Key Points
Design md is a portable blueprint for typography, color, spacing, and effects that you attach to any prompt to keep design consistent across web, mobile, slides, and motion.
One-shot prompts collapse on page two; a design system carries the soul across every medium and tool you switch into.
Skills work like ingredients (lasers, skeuomorphic, 3D, copywriting), and …
-
Hire a team of AI Agents
8 mei 2026 · 41 min
I'm joined again by Imran Muthuvappa to walk through how to build your own AI Chief of Staff using a tool called Nebula. Imran shows me how to spin up specialized agents that handle the work a real chief of staff would do — surfacing team blockers, tracking project status, holding people accountable to offsite vision goals, running daily agenda briefings, and prospecting ICP leads. We also get into mini apps, model selection for cost efficiency, and why personal software is becoming a real category. By the end, the takeaway is clear: every role now has a "work on the job" component where you supervise yourself and offload tasks to agents. Lees meer
Links Mentioned:
Try Nebula: https://startup-ideas-pod.link/nebula
Precall Agent: https://startup-ideas-pod.link/precall-agent
Project Status Agent: https://startup-ideas-pod.link/project-status-agent
Lead Gen Agent: https://startup-ideas-pod.link/lead-gen-agent
Timestamps:
00:00 – Intro
02:13 – What is Nebula
02:54 – What an AI Chief of Staff Actually Does
4:26 – Nebula vs OpenClaw vs Hermes
06:09 – Building the Blockage Radar Agent
09:47 – Agent Features
12:04 – Choosing Cheaper Models for Simple Tasks
13:15 – Building Project Status Agent
13:53 – Connecting Tools to Agents
17:38 – Building Vision Tracker Agent
22:07 – Mini Apps and Personal Software as a New Paradigm
25:13 – Building a Daily Agenda Agent and Second Brain Integration
30:25 – Hours Saved vs. Anxiety Reduced for Founders
33:02 – Building the Lead Gen Prospector Agent
39:19 – Final Thoughts: Automate Three to Five Things
Key Points
An AI Chief of Staff handles the boring executive support work — calendar, email, LinkedIn, project status — so a human can focus on decisions.
Nebula lets you build, deploy, and share custom agents through a Slack-like interface, where each agent has its own goals, tools, and system prompt.
Voice input via SuperWhisper or WhisperFlow gets you to roughly 150 words per minute, which Imran calls the biggest product…
-
How to win with AI Agents in 2026
29 april 2026 · 1 uur 5 min
Limited BONUS: First 1,000 builders get $1,000. Claim yours while supplies lasts.: https://startup-ideas-pod.link/hyperagent Lees meer
I sit down with Howie Liu, co-founder and CEO of Airtable, to talk about the agent economy and the launch of HyperAgent. We walk through Sequoia's charts on AI agent deployment, the economics of token-based work versus human labor, and why frontier agents have crossed a threshold that changes how companies get built. Howie then does a live show-and-tell of HyperAgent, including a custom "Greg Isenberg contrarian AI" skill he spins up in real time. This one is for anyone building a solopreneur business, operating a fleet of agents, or trying to figure out where to place their bet in the agent ecosystem
Timestamps
00:00 – Intro
02:22 – Sequoia's AI agent deployment chart reaction
04:41 – Copilot vs Autopilot territory and the $1T+ opportunity
08:13 – Agent economics vs human labor costs
11:12 – Fastest enterprise adoption curve in history
14:48 – The agent command center and fleet of 20 agents
18:03 – What is HyperAgent?
19:43 – Live demo: hyperlocal real estate market reports
22:38 – HyperAgent as the founder, not just the developer
23:21 – Street View, Zillow redesigns, and visual tool power
24:15 – Command center view across a fleet of agents
25:48 – Skills as the key primitive for frontier agents
26:30 – Building the Greg Isenberg contrarian AI skill live
32:31 – HyperAgent vs Perplexity Computer, Manus, OpenClaw, Codex
34:52 – Reviewing writing skill
36:55 – The arbitrage of persistence
41:31 – Confidence milestones: first dollar, $10K/month
35:27 – Reviewing contrarian tweet drafts live
45:05 – Giving the agent feedback and building rubrics
50:15 – Connectors, OAuth, and building custom API skills
53:03 – How to get started with HyperAgent
01:01:54 – Credit giveaway for listeners
01:03:31 – Closing Thoughts
Key Points
Frontier agents have crossed a threshold in the last 4–5 months where they function as true aut…
-
Codex clearly explained (and how to use it)
27 april 2026 · 1 uur 5 min
I sit down with Riley Brown to get a hands-on tour of OpenAI's Codex, which he argues is the most powerful single interface for using AI agents today. Riley walks me through how Codex unifies vibe coding, knowledge work, browser use, computer use, and automations into one app, all running on GPT 5.5. I come in as a complete Codex skeptic who has spent most of my time in Claude Code, and Riley shows me skills, plugins, projects, Remotion, Chronicle, and the in-app browser to make his case. By the end, the question becomes whether the era of separate tools for documents, decks, code, and research is collapsing into a single super app. Lees meer
00:00 – Intro
03:23 – What is Codex
06:46 – Why a GUI beats the terminal for most users
10:13 – Codex: the all in one platform
12:48 – Atlas browser inside Codex
14:21 – Remotion explained and motion graphics workflows
19:28 – Computer use and Chronicle
22:26 – Plugins, skills, MCPs, and integrations
31:57 – Evals, examples, and good outpu
38:43 – Hard questions: who Codex is built for
40:44 – Browser use plays itself in chess
43:20 – Running Claude Code inside Codex
45:58 – GPT 5.5 cost and effort settings
48:50 – GPT Images 2.0
54:09 – Why most people feel overwhelmed by AI tools
57:09 – Three projects to start with on day one and Closing thoughts
Key Points
Codex is positioned as a super app where coding, documents, decks, research, and automations live in one interface, with GPT 5.5 as the underlying model.
The trend across Codex, Cursor, and the Claude Code desktop app is the same GUI pattern: chats on the left, agent in the middle, output on the right.
Plugins offer official integrations like Slack, Notion, Sheets, Remotion, and Canva, while skills are user-created instructions stored as a SKILL.md file.
Computer use and browser use have crossed a speed threshold; the chess demo runs at near-human pace, a leap from earlier "dial-up" feeling agents.
Running Claude Code inside the Codex terminal lets you stack …
-
ChatGPT Images 2.0 Is Here. I Tested Everything.
22 april 2026 · 32 min
In this solo episode, I walk through ChatGPT Images 2.0 and show exactly how to use it to build creative assets that move a business forward, from brand visual directions to UI mockups to apparel mockups and editorial illustrations. I share the AI tool that surprised me this week (Noscroll), hand over a startup idea I want someone to steal (a learn-to-draw app with AI feedback on every sketch), and give you a five-step framework for finding and building a vertical AI business. I end with a Ralph Waldo Emerson quote that fired me up and a reminder to go conquer the day. Lees meer
Timestamps
00:00 – Intro
01:21 – What's New in ChatGPT Images 2.0
03:14 – Best Use Cases for Images 2.0
15:15 – Top Tips for Asset Generation
17:10 – Tool of the Week: Noscroll
20:17 – Startup Idea: Learn-to-Draw App with AI Feedback
24:58 – Framework: How to Find a Vertical AI Business to Build
29:45 – Closing Thoughts and Emerson Quote
Key Points
ChatGPT Images 2.0 delivers 2K resolution, eight images per prompt, thinking mode with web search, and dramatically better text rendering across languages.
Specificity is the whole game with 2.0: dialed-in aesthetic, camera, lighting, palette, subjects, and output dimensions separate cinematic results from stock-looking ones.
Every business has four creative bottlenecks: marketing content, internal decks and training, visual explanation, and testing before building.
No Scroll is a glimpse into the future of AI agents: small, focused products that read the internet for you and text only what matters.
Vertical AI beats horizontal AI for reaching seven and eight figures in ARR because niche workflows plus proprietary data equal defensibility.
The Emerson mindset: own the day, finish it, forget the blunders, and begin tomorrow serenely.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into rea…
-
Hermes Agent clearly explained (and how to use it)
20 april 2026 · 37 min
I sit down with Imran Muthuvappa to get a hands-on walkthrough of Hermes Agent, a personal AI agent that ships with built-in memory, 40+ tools, and pre-installed skills out of the box. Imran walks me through why he migrated from OpenClaw, how to install Hermes on a Mac or even an Android phone via Termux, and how he cut his token spend by roughly 90% using OpenRouter. We get into agent design (one agent vs. multiple), connecting Hermes to Telegram and Obsidian, and the kinds of prompts that turn a personal agent into a daily operating system. By the end, I have a practical roadmap to install Hermes, pick a model, and start automating real parts of my life and business Lees meer
Timestamps
00:00 – Intro
01:38 – Why Imran Left OpenClaw (Memory, Gateway, Tokens)
04:26 – Hermes Setup Tour and 40+ Built-In Tools
07:06 – Installing Hermes on Mac, Linux, and WSL
12:21 – Telegram and Android Agents
17:09 – Auditing Your Life With Your Agent
20:04 – Must-Know Hermes Tips: Updates, Tailscale, Telegram
21:07 – Should You Migrate From OpenClaw?
25:58 – Hermes + Obsidian as a Daily Dashboard
27:16 – Must-Use Prompts for a Personal Agent
31:29 – Must-Install Skills: Obsidian, Honcho Memory, G-Stack
33:04 – What G-Stack Is and Why It Matters
34:18 – Customization Is a Trap; Output Is the Skill
35:19 – Closing Thoughts
Key Points
Hermes Agent solves OpenClaw's three biggest pain points: built-in memory (writes to SQLite on successful tasks), gateway stability, and token visibility.
Installation is a single command on Mac, Linux, or WSL, and Hermes ships with 40+ tools and popular skills (Apple Notes, Reminders, iMessage, Find My) pre-installed.
Switching to Hermes with OpenRouter can cut token spend by roughly 90%, from about $130 per five days to around $10 per five days in Imran's case.
You can run Hermes on a cheap Android phone via Termux + Termux API, unlocking SMS, sensors, and on-device social posting as a cheap alternative to a Mac Mini.
The real skill is defaul…
-
Claude Design blew my mind
18 april 2026 · 1 uur
I go live and get my hands dirty with Claude Design, Anthropic's new design tool in research preview. Across roughly an hour, I run a real workflow end-to-end: pulling a product idea from Idea Browser, generating wireframes, iterating into visual designs, building a pitch deck, and attempting a 30-second video ad. I share my first reactions in real time and take feedback from the chat. By the end, I land on a clear verdict — best-in-class for wireframes and visuals, weaker for video — and give you a practical sense of where this tool fits in your workflow. Lees meer
Timestamps
00:00 – Intro
00:50 – Claude Design walkthrough
03:48 – Picking a product idea from Idea Browser: Senior Brains
05:54 – Wire-framing Senior Brains
13:54 – Reacting to the generated wireframe
20:44 – Building a pitch deck for Senior Brains
30:39 – Reacting to a pitch deck
34:58 – Reacting to Hi-Fi wireframe
40:40 – Creating a 30-second animated video ad
48:58 – Reacting to animated video ad
58:10 – Final verdict and recommendations
Key Points
Claude Design's wireframing is the strongest capability I've seen in a design tool to date, especially the questionnaire that extrapolates like a product manager.
The pitch deck generation nails roughly 90% of the output with minimal input, which saves hours.
Visual design mockups come through clean and usable, ready to iterate with 30 minutes of back-and-forth.
Video generation lands at about a 5/10 — workable as a social post, weaker as a real commercial.
Start with wireframes first to conserve tokens and sharpen feature decisions before committing to high fidelity.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemark…
-
Seedance 2.0: Make 100 AI Ads in 33 mins
17 april 2026 · 33 min
In this episode I sit down with my friend Sirio, one of the most creative AI minds I know, to break down Seedance V2. Sirio walks us through the exact use cases, prompts, and tactics he's using to build on top of this model inside his platform Enhancor, covering multi-input generation, virtual try-ons, ad translation, AI influencers with lip sync, video extension, and 3D product template replacement. I wanted this to go beyond the "look how cool this is" tutorials and focus on how creators and founders can actually build businesses, run ads, and produce creative assets with it. By the end, you'll have a practical playbook for Seedance V2 and a clear view of where it fits alongside other models like Kling 3, Veo, and fine-tuned options. Lees meer
Timestamp
00:00 – Intro
02:22 – Demo 1: Replacing Characters and Background in a Green Screen Scene
08:03 – Prompting Tactics and Optimize Prompts
09:45 – Demo 2: Virtual Try-On in Montreal (Minus 30 Degrees)
13:05 – Demo 3: Ad Translation and Character Replacement (Chinese to English)
16:02 – Demo 4: 3D Product Template with Brand Texture Swap
18:40 – Demo 5: Video Extension and Filling in the Middle
20:55 – Demo 6: AI Influencers and Prompting Realistic Emotion
29:31 – What Happens to Adobe Over the Next Five Years
Key Points
Seedance V2 is the first widely available video model to support true multi-input generation — up to two images, two videos, and an audio file combined in a single prompt.
Treat Seedance V2 as a video editor, not just a generator: character swap, background swap, text preservation, ad translation, and template population all work from natural-language prompts.
Seedance rewards highly specific prompts; I pair my own draft with Claude Opus 4.6 to optimize prompts for vision models.
Strong source reference images remain the single biggest quality lever — the model mimics taste from what you feed it.
For AI influencers and lip sync, describe muscle movements and emotional transitions rather than si…
-
My Claude Code marketing stack (It just works)
13 april 2026 · 35 min
I sit down with Amir, who's back on the pod, and we walk through the full stack of taking a business idea from zero to a validated, A/B-tested landing page in a single session. I use Idea Browser's new MCP integration with Claude Code to pull project context, generate a lead magnet concept, design a landing page in Paper, and then wire up analytics and live experiments through HumbleLytics — all without writing a single line of front-end code manually. We cover the tools, the workflow, and why this stack creates massive arbitrage for marketers and builders right now. Lees meer
Timestamps
00:00 – Intro and Episode Preview
02:30 – Building a Growth Strategy with Idea Browser
06:10 – Designing Landing Pages in Paper
08:38 – Refining Copy, Layout, and Components in Paper
20:06 – Deploying Landing Page and Adding HumbleLytics Analytics
28:38 – Running A/B Experiment on the Headline
32:44 – The Arbitrage Opportunity and Closing Thoughts
Links Mentioned:
Amir’s Agentic Marketing Skill: https://startup-ideas-pod.link/amir_marketing_skill
Key Points
Idea Browser now connects to Claude Code as an MCP, letting you pull project context, growth strategies, and skills directly into the terminal for building and iterating on business ideas.
Paper replaces the traditional Figma-to-developer handoff by letting you design, iterate, and refine landing pages visually — all connected to Claude Code so changes stay in sync.
HumbleLytics enables no-code A/B experiments that dynamically update page content without deploying new code, so you can test headlines, CTAs, and layouts in real time.
Storing performance context (A/B results, revenue data, growth metrics) back into Idea Browser compounds your results over time because every future decision is informed by past data.
This full stack — Idea Browser, Paper, Claude Code, HumbleLytics — creates a significant arbitrage opportunity right now because almost nobody is using it at this level.
The #1 tool to find startup ideas/trends - …
-
Building AI Agents (Clearly Explained)
8 april 2026 · 35 min
I sit down with Ras Mic to break down how AI agents actually work and why most people are using them wrong. Ras Mic explains the mechanics of context windows, makes the case that agent md files are largely unnecessary, and shares his step-by-step methodology for building custom skills that make agents dramatically more productive. Whether you're coding with Claude Code or automating workflows with OpenClaw, this episode gives you the foundational knowledge to stop wasting tokens and start getting real results from your AI tools. Lees meer
Timestamps
00:00 – Intro
00:42 – The Models Are Good Now
01:20 – How Context Windows Actually Work
04:55 – The Power of Skills
09:17 – How to create Skills
16:35 – Skill Maxxing
19:05 – What you need too build a project
20:40 – Recursively Building and Improving Skills
29:23 – Context Window Management and Token Efficiency
33:02 – Closing Thoughts
Key Points
The models (Opus 4.6, GPT 5.4) are exceptionally good now — the differentiator is the context and harness you build around them.
Agent md and claude md files get loaded into context on every single turn, burning tokens and degrading performance as the context window fills up. 95% of users can skip them entirely.
Skills use progressive disclosure: only the name and description sit in context until the agent determines it needs the full file, saving thousands of tokens per conversation.
The best way to create a skill is to walk through the workflow with the agent step by step, achieve a successful run, and then have the agent write the skill based on that real context.
Recursively refine skills by feeding failures back into the agent and having it update the skill file so the same mistake is avoided going forward.
Scale for productivity by starting with one agent and building up workflows before adding sub-agents — start simple, then expand.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com
LCA helps Fortune 500s and fast-growing startups build the…
-
How I use Lindy AI to run my life
6 april 2026 · 31 min
I sit down with Flo, founder of Lindy, to get a live demo of their new product, Lindy Assistant, an AI executive assistant that lives in iMessage and works proactively across email, calendar, Slack, Notion, and 100-plus other tools. Flo walks me through a real day of his own Lindy usage, showing how it drafts email replies, prepares meeting briefs, updates CRMs, and handles calendar changes without being asked. We compare Lindy to OpenClaw and Claude's ecosystem, talk pricing, edge-case power users, and where Lindy goes over the next five years. Lees meer
Try the ultimate AI assistant: https://startup-ideas-pod.link/lindy
Timestamps
00:00 – Intro
01:09 – What Lindy Assistant is and why Flo built it
02:27 – The daily morning brief
05:16 – Setup: two steps, two minutes, out of the box
05:53 – Get the most out of Lindy Assistant
09:42 – My three assistant use cases: research, scheduling, and sales leads
15:51 – Lindy vs. OpenClaw
17:57 – Lindy vs. Claude ecosystem
19:51 – Where Lindy goes over the next five years
23:42 – Integrations overview (100-plus tools)
24:42 – What Lindy does well and what it does not replace
26:52 – Pricing: starts at $49/month
27:15 – How power users are using Lindy
28:18 – Voice memos, incoming phone calls, and outbound calls
30:00 – How to use Lindy alongside a human executive assistant
Key Points
Lindy Assistant lives in iMessage, connects to email, calendar, Slack, Notion, and 100-plus other apps, and acts proactively without being prompted.
Setup takes two minutes: provide a phone number and connect a Google account, and Lindy ingests existing email and tool data immediately.
Lindy pre-drafts email replies, preps meeting briefs, updates CRMs after calls, flags billing issues, and reschedules dinners at closed restaurants — all without user initiation.
The voice and tone of the assistant took extensive prompt engineering; the lowercase, casual register is intentional and difficult to achieve with current models.
Lindy targets…
-
23 AI Trends keeping me up at night
1 april 2026 · 32 min
I go solo on this episode to walk through the full list of AI trends and opportunities keeping me up at night — literally. From the one-hour company stack to ambient businesses, vertical AI, the agent economy, and the real security threats I see coming, I cover what I believe is the most asymmetric window in startup history. I share the frameworks I use to think about what to build, what to avoid, and why acting now matters more than waiting for things to settle down. Lees meer
Timestamps
00:10 – Intro
01:09 – 1) The One-Hour Company Stack
02:09 – 2) Old vs. new startup timeline
03:58 – 3) Ambient businesses and autonomous companies
05:18 – 4) The agent economy timeline
07:17 – 5) Agent hiring Agents
08:01 – 6) The Vertical Agent Map
09:39 – 7) Vertical AI vs. Vertical SaaS
10:53 – 8) Boring goldmine verticals
11:40 – 9) SaaS Pricing Evolution
13:26 – 10) Seat-Based vs Outcome-Based
14:51 – 11) The SaaS graveyard
16:04 – 12) The scarcity flip
17:03 – 13) The Premium Stack
18:21 – 14) The experience economy boom
18:59 – 15) Founder-agent fit
20:32 – 16) Ghost team org chart
21:56 – 17) The micro monopoly math
24:00 – 18) Agent attack surface
25:19 – 19) Agent Injection vs Phishing
26:34 – 20) Agent permission stack
27:37 – 21) The closing window
28:46 – 22) why this window is asymmetric
29:34 – 23) Building in public
30:50 – Final ThoughtsKey Points
I can build, launch, and get a first customer in under an hour using today's agent engineering tools and a pre-existing audience.
Vertical AI taps directly into labor P&L — it replaces headcount, not just software licenses — making the TAM 10x larger than vertical SaaS.
Ambient businesses running on near-zero daily human input are early but real; the arrow of progress points here.
The value shift I see coming: execution gets commoditized, judgment and physical presence become premium.
Agent injection is the new phishing — and I believe it scales faster and hits harder than any phishing attack did.
The 100 true fans model…
-
Making $$ with AI Marketing
30 maart 2026 · 27 min
I break down the seven distribution strategies every vibe coder and builder needs to actually get customers. With 200,000 new projects launching daily on platforms like Lovable, the real bottleneck is distribution and I believe the wealthiest people over the next decade will be marketers, because code is now commoditized. I walk through each strategy with step-by-step instructions you can start this week, from MCP servers and programmatic SEO to acquiring newsletters and building AI repurposing engines. Lees meer
Timestamps
00:00 – Intro
01:07 – The Great Flip: Distribution Over Engineering
03:08 – The Build-First Trap
04:18 – Strategy 1: MCP Servers as Your Sales Team
06:49 – Strategy 2: Programmatic SEO (10,000 Pages)
10:09 – Strategy 3: Free Tool as Top of Funnel
13:03 – Strategy 4: Answer Engine Optimization (AEO)
15:48 – Strategy 5: Viral Artifacts (Make Outputs Shareable)
18:56 – Strategy 6: Buy a Niche Newsletter
21:40 – Strategy 7: AI Content Repurposing Engine
25:13 – Final Takeaways
Key Points
Distribution is the new moat — AI can build the product, but it can't build your audience or brand.
Building an MCP server in 2026 is like building for mobile in 2010; early movers will own AI-native distribution channels.
Programmatic SEO can scale to 300,000 monthly visitors if you create 10,000 quality pages that each pull just 30 visits a month.
Free tools act as always-on marketing: you can vibe code one in a day, ship it by lunch, and it markets itself forever.
Answer engine optimization (AEO) is where SEO was in 2010 — Peter Levels saw AI referrals jump from 4% to 20% in one month.
You can buy a 10,000-subscriber niche newsletter for $5,000–$20,000 and inherit a direct channel to your exact audience on day one.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen…
-
I Built an AI Agent Company (From Scratch)
26 maart 2026 · 47 min
I sit down with Dotta, the pseudonymous co-founder of Paperclip, the open-source agent orchestrator that exploded to 30,000 GitHub stars in under three weeks. We walk through a live demo where I pick a startup idea from my idea browser and we spin up a full AI-agent company in real time — hiring a CEO, founding engineer, QA agent, video editor, and content strategist inside Paperclip. Dotta shares practical tips on agent configuration, memory systems, skill installation, and the "Memento Man" mental model for keeping agents on track. The conversation covers everything from token spend management and agentic design patterns to the future of importable, shareable companies and the upcoming Maximizer Mode. Lees meer
Skills to build your agent team: https://startup-ideas-pod.link/skill-suite
Timestamps:
00:00 Intro
02:32 What is Paperclip
04:21 Choosing a Startup Idea for the Demo
05:48 Setting Up your agents
07:51 Hiring Your First Agent and Creating a Plan
12:39 Agent Configuration and Persona Setup
17:08 Skills: Installing and Managing Agent Capabilities
21:02 How to Get Top-Quality Output from Agents
24:05 Token Spend Tracking and Subscription Usage
25:49 Agentic Design Patterns and QA Loops
29:05 Taste and Values: What AI Still Cannot Do
30:09 How Many Agents Run the Paperclip Project
32:32 Routines: Automating Recurring Agent Tasks
36:36 Who Is Using Paperclip Today
38:57 Shareable and Importable Companies
42:49 The Unproven Frontier: Do Agent Orgs Actually Work?
42:49 Maximizer Mode and What's Next
44:29 Did Dotta Expect It to Go This Viral?
Key Points
Paperclip is a bring-your-own-bot orchestrator: it works with Claude Code, Codex, OpenCode, and any model on OpenRouter, so you are not locked into a single provider.
AI agents are "Memento Man" — they wake up capable but with zero memory, so you need heartbeat checklists, persona prompts, and written context to keep them effective.
The biggest lever for quality output is encoding your own taste and …
-
What is Firecrawl?
24 maart 2026 · 27 min
I break down Firecrawl and it solves AI’s biggest blind spot, access to clean web data. I walk through the full AI agent stack every builder needs, explain why this is the "AWS moment" for web data, and share a dozen startup ideas you can build this week using Firecrawl for scraping, enrichment, and automation. Whether you want to launch a niche SaaS, a lead gen service, or a data-as-a-service business, this episode gives you the frameworks and the specifics to get started. Lees meer
Shoutout Firecrawl - Turn websites into LLM-ready data: https://startup-ideas-pod.link/firecrawl
Timestamps
00:00 – Intro
02:14 – Why this matters now
07:40 – What is Firecrawl
11:20 – How does Firecrawl work
12:57 – The Agent Stack
14:35 – 7 Startup Ideas
24:01 – Firecrawl Hired an AI Agent as an Employee
26:24 – Final Thoughts
Key Points
AI models are only as good as the data they can access — clean, structured web data is the new critical infrastructure.
Firecrawl replaces thousands of lines of custom scraping code with a single API call that returns clean markdown, structured JSON, and screenshots.
The biggest opportunity is taking horizontal SaaS categories (SEO tools, job boards, price trackers) and building hyper-niche versions using Firecrawl at a fraction of the cost.
I think about the AI agent stack in five layers: agent harness, search layer, web data layer, ops brain, and outbound/audience stack.
The real business model is selling the data output, not the tool — you can charge $200 to $5,000 per month per client with margins above 95%.
Vertical software always wins because people pay for specificity; Constellation Software built a ~$75 billion company on this principle.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer -…
-
My OpenClaw setup that finally works (Complete Walkthrough)
19 maart 2026 · 1 uur 5 min
I sit down with Moritz Kremb, an OpenClaw power user and agency builder based in Berlin, to break down how to actually make OpenClaw useful. Moritz walks through a 10-step optimization guide covering everything from troubleshooting and memory management to model selection and security basics. He then demos two real systems he built with OpenClaw: a full short-form video content pipeline and a conversational CRM. This episode is for anyone who tried OpenClaw, hit a wall, and wants a clear path to turning it into a superhuman digital employee. Lees meer
Timestamps
00:00 – Intro and episode promise
02:17 – What is OpenClaw
03:17 – OpenClaw vs. ChatGPT vs. Claude Code
07:43 – Where Claude Cowork and Dispatch fit in
09:47 – Why choose OpenClaw over Cowork
11:03 – Step 1: Setting up OpenClaw
14:46 – Step 2: Personalize your workspace files
18:04 – Step 3: Fix and optimize memory
22:43 – Step 4: Choose the right model (OAuth method)
25:56 – Anthropic ban and model provider gray areas
27:33 – Step 5: Organize Telegram groups and topics
30:19 – Step 6: Understand the three browser modes
35:18 – Step 7: Skills — built-in, marketplace, and custom
39:03 – Step 8: Optimize the heartbeat file
42:00 – Step 9: Security basics and prompt injection
48:08 – Step 10: Least access principle and agent-owned accounts
49:52 – Use case 1: No AI Slop content system
58:37 – Use case 2: Conversational CRM
01:01:15 – Final thoughts on the future of personal agents
01:02:55 – Jensen Huang's take: OpenClaw as the new computer
Key Points
Upload the OpenClaw documentation into a Claude project to create a dedicated troubleshooting baseline — it solves roughly 99% of setup issues.
Use the OAuth method (your existing $20 ChatGPT or Anthropic subscription) to avoid expensive API costs, and always configure backup models.
Memory problems are almost always caused by memory never being saved in the first place; add an auto-save instruction to the heartbeat file so it logs every 30 minutes…
-
AI Agents Full Course 59 Minutes (for beginners)
17 maart 2026 · 59 min
I sit down with Remy Gaskell to break down how anyone can build AI agents to run entire departments of their business. Remy walks through the core concepts: agent loops, context files, memory, MCP tool connections, and skills. We put everything together by building a fully functional executive assistant live on screen. This is a beginner-friendly crash course that covers Claude Code, Codex, Cowork, Antigravity, Manus, and OpenClaw, showing that once you understand how to "drive," you can jump into any agent platform. By the end, listeners know exactly how to set up markdown-based context files, connect their everyday tools, and create reusable skills that compound over weeks and months. Lees meer
Timestamps
00:00 – Intro
01:35 – Agents vs Chat
03:22 – The Agent Loop
05:46 – How Agents work
06:39 – Demoing Agents (Claude Code, Codex, Antigravity)
08:52 – Security and Agent Permissions
10:43 – Comparing Results Across Three Platforms
13:57 – Startup Idea: Cold Email Website Offer
14:50 – Folder Structure and Department-Based Agents
15:52 – Onboarding an Agent Like a Real Employee
17:05 – Voice-to-Text With Monologue and WhisperFlow
18:04 – Chat Memory vs. Agent Memory
19:34 – Building the agents md
22:20 – Context Engineering Over Prompt Engineering
24:29 – How Memory Compounds and Reduces Errors
30:27 – How Big Can memory md Get?
31:43 – Connecting Tools via MCP (Model Context Protocol)
34:49 – Working in Claude Code for High-Value Tasks
37:09 – Why the Real Value Is in Stacking, Not Summarizing
40:04 – What Are Skills? (SOPs for AI)
43:08 – Creating Skills
48:36 – Real-World Example: Ads Analyst Skill: 4-Hour Process in Minutes
50:37 – Chaining Skills together
52:01 – Real-World Example: Automated Car Search
53:34 – OpenClaw and Migrating Agents to More Autonomous Platforms
55:19 – Which Platform Should Beginners Start With?
56:28 – Global vs. Project-Level Skills, Context, and MCPs
Key Points
Agent platforms (Claude Code, Codex, Cowork, Antigra…
-
Autoresearch clearly explained (why it matters)
11 maart 2026 · 24 min
I break down Andrej Karpathy's new open-source project, Autoresearch: what it is, how it works, and why some of the smartest people in tech are losing their minds over it. I walk through 10 concrete business ideas you can build on top of Autoresearch loops, from niche agent-in-a-box products to always-on A/B testing agencies. I also cover Karpathy's companion launch, Agent Hub, share community reactions, and show you step by step how to get started using Claude Code and a Colab GPU. Lees meer
I'm hosting a free workshop so you can build your business in the age of AI.
Sign up here: https://startup-ideas-pod.link/build-with-ai-2026
Links Mentioned:
Autoresearch Github: https://startup-ideas-pod.link/autoresearch
Timestamps
00:00 – Intro
00:45 – How Autoresearch Actually Works
02:40 – Visual Walkthrough of the Autoresearch Loop
03:37 – Mental Model: Your Research Bot That Runs While You Sleep
05:26 – Idea 1: Niche Agent-in-a-Box Products
06:48 – Idea 2: A/B Testing for Marketing (Landing Pages & Ads)
08:45 – Idea 3: Research as a Service
09:43 – Idea 4: Power Tool Inside Your Own SaaS
10:49 – Idea 5: Agency That Runs 100× More Tests
12:05 – Idea 6: Auto Quant for Trading Ideas
13:44 – Idea 7: Always-On Lead Qualification & Follow-Up
14:21 – Idea 8: Finance Ops Autopilot for Businesses
15:09 – Idea 9: Internal Productivity Lab for Your Org
15:53 – Idea 10: Done-for-You Research & Due Diligence Shop
16:41 – Non business use cases
18:27 – Karpathy's Agent Hub Announcement
19:50 – How to Get Started with Autoresearch
22:21 – Final Thoughts
Key Points
Autoresearch is an open-source AI agent that sets a goal, runs experiments in a loop on a GPU, keeps the winners, and discards the rest — all while you sleep.
You need an NVIDIA GPU to run it (tested on H100), but you can rent one cheaply through Lambda Labs, Vast AI, RunPod, Google Cloud, or Google Colab.
The fastest way to get started is to use Claude Code to walk you through installation, then run it on G…
-
I let OpenClaw run my organic marketing (while I sleep)
9 maart 2026 · 43 min
I sit down with Oliver Henry, a full-time employee who is generating hundreds of dollars in monthly recurring revenue from mobile apps he barely touches, thanks to an AI marketing agent he built on OpenClaw called Larry. We walk through how Larry autonomously creates TikTok slideshow content, reads analytics, iterates on hooks and CTAs, and feeds performance data back into the content loop. Oliver also shares how he packaged the entire system as a free, downloadable skill on Larry Brain so anyone can replicate it. By the end of the episode, you will understand the full “Larry Loop”—from content creation to conversion optimization and why skills are poised to reshape how we think about SaaS altogether. Lees meer
I'm hosting a free workshop so you can build your business in the age of AI.
Sign up here: https://startup-ideas-pod.link/build-with-ai-2026
Links Mentioned:
Larry Brain: https://startup-ideas-pod.link/Larry-brain
QMD Skill: https://startup-ideas-pod.link/qmd-skill
Timestamps
00:00 – Intro
01:25 – Background on Marketing IOS app with OpenClaw
06:43 – Larry’s first posts and iterating
03:55 – Posting Strategy and First viral hit: 137K views
12:01 – Communicating with Larry via WhatsApp
12:53 – Mission control vs. single-agent workflow
14:36 – The CTA problem: views without conversions
17:07 – The Larry Loop explained: analytics → content → metrics → iterate
18:15 – Boomers, engagement bait, and the algorithm boost
20:33 – The importance of iteration
23:36 – How Larry brainstorms and validates new hooks
27:57 – The power of OpenClaw
30:04 – The vision for Larry
31:49 – Model choices: Claude vs. OpenAI and over-optimization
34:38 – OpenClaw vs. cloud alternatives (Manus, Cowork)
37:39 – Getting started: Larry Brain onboarding and 80+ skills
40:13 – Ernesto Lopez: $70K MRR using the Larry Loop
41:27 – Doing all of this with a full-time job
42:28 – QMD Skill for cutting token usage and closing thoughts
Key Points
An AI agent (Larry) built on Open…
-
Biggest wealth creation opportunity is SaaS
5 maart 2026 · 26 min
I walk through a complete 30-step playbook for building a modern SaaS company using AI agents, media, and sub-niche positioning. The core argument is that SaaS is evolving rather than dying, and the builders who win are the ones who combine a focused workflow product with a media flywheel and agent-powered execution. Drawing on my experience advising TikTok, Reddit, and building three venture-backed companies, I lay out a step-by-step framework any solo builder or small team can follow from niche selection through to becoming the default execution layer in their market. Lees meer
I'm hosting a free workshop so you can build your business in the age of AI.
Sign up here: https://startup-ideas-pod.link/build-with-ai-2026
Timestamps
00:00 – Intro
01:18 – Step 1: Start with a sub-niche inside a big market
02:21 – Step 2-5: Map Workflow end to end
06:37 – Step 6-7: Create scroll-stopping content
10:15 – Steps 8–9: Double down on organic and run paid ads on winners
11:11 – Step 10: Capture emails from day one
11:47 – Steps 11–13: Manually perform the workflow and document every step
13:40 – Steps 14–16: Turn mechanical tasks into agent workflows and connect to real tools
14:47 – Step 17: Add orchestration, retries, and verifications
16:32 – Steps 18–19: Store user preferences and launch with high-touch onboarding
18:20 – Steps 20–21: Publish measurable proof and move to per-task pricing
21:21 – Steps 22–23: Outcome pricing and compounding value
22:07 – Steps 24–27: Expand workflows, build switching costs, create case studies
23:25 – Steps 28–30: Hire from the niche, reinvest profits, become the default layer
24:08 – Closing thoughts
Key Points
Start in a specific sub-niche, not a broad market — that is where sustainable cash flow lives, not VC competition.
The future of SaaS starts as a service business: manually performing the workflow is how I learn what to automate.
Media is a core business function, not an afterthought — content creation runs in parallel w…
-
Claude Code marketing masterclass [from idea to making $$]
2 maart 2026 · 54 min
I sit down with Cody Schneider, growth engineer and co-founder of Graph, for a live, hands-on crash course in GTM (go-to-market) engineering powered by Claude Code. Cody walks through how he runs multiple AI agents simultaneously to handle everything from bulk Facebook ad creation and LinkedIn outreach to cold email campaigns and live data analysis — tasks that used to require a team of dozens. By the end of the episode, you'll have a full understanding of how to set up your own agent workflow, the specific tools involved, and why domain expertise paired with AI is the real competitive advantage right now. Lees meer
Cody’s GTM Toolkit:
AI/Agent Tools: Claude Code, Perplexity API, OpenAI Codex
Marketing & Outreach: Instantly AI (cold email), Phantom Buster (LinkedIn scraping/automation), Apollo API (data enrichment), Million Verifier (email verification), Raphonic (podcast host scraping):
Advertising: Facebook Ads API, Facebook Ads Library (competitor research), Nano Banana Pro (AI image generation), Kai AI (bulk image generation), HeyGen API (UGC/video generation)
Infrastructure & Deployment: Railway.com (servers, on-the-fly databases/Postgres), Vercel (deployment)
Data & Analytics: Graphed / Graphed MCP (data warehouse, live data feeds), Google Analytics 4
CRM & Communication: Salesforce (mentioned as comparison), Intercom, SendGrid API, Slack, Cal.com API
Productivity & Design: Notion, Super Whisper (voice transcription), Claude Code front-end design skill, HTML to Canvas (for converting React components to PNGs)
Timestamps
00:00 – Intro
02:02 – What Is GTM Engineering?
05:12 – Setting Up Your Agent Workspace & Environment File
07:54 – Live Demo: LinkedIn Auto-Responder
09:56 – Live Demo: Bulk Facebook Ad Generator
12:31 – Live Demo: Cold Email Campaign Automation (Raphonic + Instantly)
14:47 – Live Demo: Creating Notion Documents via Claude Code
16:46 – Live Demo: Bulk Ad Creative Generator
26:05 – Live Demo: LinkedIn Engagement Scraper to Cold Email Pip…
-
What is Perplexity Computer?
27 februari 2026 · 38 min
I take Perplexity Computer for its first real spin and test five use cases that founders can use right now to make money and move faster. I connect my Gmail live, let the AI send cold outreach on my behalf, set up daily competitive intelligence monitoring, research 50 VCs for a mock Series A, and kick off a full investment memo on Shopify, all in a single session. By the end, I walk away genuinely impressed and convinced the $200/month Max plan can pay for itself with one closed deal. Lees meer
Timestamps
00:00 – Intro
00:35 – What We're Testing Today
02:35 – Use Case 1: Warm Outbound at Scale
15:31 – Use Case 2: Automated Competitive Intel
25:11 – Use Case 3: Investor Pipeline Research (50 VCs)
26:58 – Use Case 4: Turn a Podcast Into a Content Machine
31:39 – Use Case 5: Live Market Diligence (Shopify Investment Memo)
34:17 – Bonus: Additional Use Cases Worth Trying
36:06 – Closing Thoughts and Takeaways
Key Points
Perplexity Computer runs multiple research tasks in parallel using sub-agents, skills, and tools — functioning like a virtual analyst working across the open internet.
The cold outreach workflow found real email addresses, researched each prospect's recent activity, and drafted hyper-personalized emails that reference specific details — then sent them through a connected Gmail account.
Setting up recurring competitive intelligence monitoring (daily reports, weekly sponsor tracking) is where the tool shifts from a one-off assistant to a persistent agent running on autopilot.
The VC pipeline research use case demonstrates how founders who lack a warm network can still build a structured, targeted investor list with fund sizes, thesis alignment, and partner contacts.
At $200/month on the Max plan, the cost pays for itself if even one sponsorship deal or investor meeting closes from the outreach.
The platform already supports connectors for Gmail, Google Drive, Slack, HubSpot, Ahrefs, Reddit, and more — making it a serious contender for centralized f…
-
How I Use Obsidian + Claude Code to Run My Life
23 februari 2026 · 59 min
I sit down with my dear friend Vin (Internet Vin) for a deep, hands-on walkthrough of how he uses Obsidian and Claude Code together as a thinking partner, idea generator, and personal operating system. Vin demonstrates live how Claude Code can read, reference, and surface patterns across an entire Obsidian vault of interlinked markdown files — turning years of personal notes into actionable insights, project ideas, and even custom commands. This episode covers everything from the basic setup to advanced workflows like tracing how ideas evolve over time, generating contextual startup ideas, and delegating tasks to autonomous agents. If you are serious about getting the most out of LLMs, this is the episode that shows you how your own writing becomes the fuel. Lees meer
Link to Vin's skills and my notes: https://startup-ideas-pod.link/obsidian-commands
Timestamps
00:00 – Intro
02:10 – What Is Claude Code?
06:45 – What Is Obsidian?
10:28 – Obsidian CLI: Giving Claude Code Access to Your Vault
14:53 – Thinking Tools: Ghost, Challenge, Emerge, Drift, Ideas, Trace
22:51 – The Role of Reflection in Building a Powerful Vault
25:15 – How This Relates to OpenClaw (Autonomous Agents)
29:13 – Live Demo: /Connect — Bridging Two Domains
31:25 – Meeting Notes & External Info
33:23 – Why Vin Keeps a Strict Separation: Human-Written vs. Agent-Written
35:42 – How Claude Code uses Obsidian
41:46 – Live Demo: /Ideas — Generating Actionable Ideas from Your Vault
47:10 – The /Graduate Command
50:29 – Why Obsidian Is the Missing Link for AI Companies
54:53 – The Alpha: Why 99.99% of People Won't Do This
57:38 – Closing Thoughts & Where to Follow Vin
Key Points
Claude Code is a command-line agent that can control your computer through natural language — and its power multiplies when you feed it rich, persistent context files instead of re-explaining projects every session.
Obsidian is uniquely valuable because it sits on top of interlinked markdown files; the new Obsidian CLI l…
-
Making $$$ with OpenClaw
18 februari 2026 · 52 min
I sit down with Nick Vasilescu, founder of Orgo, to break down exactly how people are turning OpenClaw — the open-source computer use agent — into a real revenue stream. Nick walks me through live demos of deploying OpenClaw for business clients, shows how sub-agents and parallelization multiply output, and shares his design-thinking framework for identifying and automating high-value workflows. We even build a TikTok trend-hunting agent from scratch during the episode to prove how fast you can go from idea to working prototype. Lees meer
Timestamps
00:00 – Intro
02:50 – Getting Set Up with OpenClaw
05:02 – Finding the Wedge: Automating Real Business Outcomes
07:39 – The Upwork Hack: Finding Paid Automation Jobs
09:41 – Andreessen Horowitz on Computer Use Agents
11:01 – Setting Up a Client Workspace in Minutes
12:41 – Design Thinking: Mapping Value vs. Effort
15:23 – Using OpenClaw to Prioritize Automations
17:57 – Building Automation Pipelines with Claude Code
19:33 – Sub-Agents vs. Tasks vs. Skills
23:22 – Automation Possibilities are huge
24:54 – Live Build: TikTok Trend Hunter from Idea Browser
32:09 – Start with an MVP Skill, Then Iterate
32:41 – Architecture of the TikTok Agent Script
36:59 – The Arbitrage Opportunity: Most Businesses Still Need Help
40:30 – Agents Are the New SaaS
42:42 – Demoing TikTok Trend Hunter
44:11 – Building Assets & the Abundance AI Will Bring
47:58 – Closing Advice: Get Your Hands Dirty
Links Mentioned:
Orgo: https://startup-ideas-pod.link/orgo
Key Points
OpenClaw is more than a personal assistant — it is a deployable business tool that can automate end-to-end workflows for paying clients.
The fastest path to revenue is finding automation jobs on Upwork (RPA, desktop automation, workflow building) and fulfilling them with OpenClaw and Claude Code.
Sub-agents allow your main OpenClaw instance to delegate specialized tasks, keeping the orchestrator free and multiplying throughput through parallelization.
A design-thi…
-
Claude Code built me a $273/Day online directory
16 februari 2026 · 56 min
I sit down with Frey Chu to go deep on how to use Claude Code to build AI-coded directories, specifically how to tackle the hardest part: getting valuable data. Frey walks us through three real-world directory examples (a funeral home directory, a senior living directory, and GasBuddy), we play a game guessing their traffic and monetization, and then he does a full live walkthrough of the seven-step process he used to build a luxury restroom trailer directory in four days for under $250. I also ask him about the future of directories in a world where LLMs are changing how people search. Lees meer
Timestamps
00:00 – Intro
02:15 – What you’ll learn
03:00 – Directory Game:Parting(Funeral Home Directory)
05:42 – Directory Game: A Place for Mom (Senior Living Directory)
08:00 – Directory Game: GasBuddy (Crowdsourced Gas Price Directory)
12:32 – The Data Moat Thesis
14:02 – Luxury Restroom Trailers: The Niche Directory Demo
15:52 – Before & After: WordPress Directory vs. Claude Code Directory
19:04 – Cost Breakdown: Built in 4 Days for Under $250
21:23 – Step 1: Scraping Raw Data with Outscraper
22:25 – Step 2: Cleaning Data with Claude Code
23:27 – Step 3: Using Crawl4AI for Automated Website Verification
28:01 – Step 4: Enriching Trailer Inventory Data
31:33 – Step 5: Scraping & Verifying Images with Claude Vision
36:33 – Step 6: Amenities, Features & Filter Data
38:31 – Step 7: Service Areas
39:15 – Niche Directory Ideas: Dementia Care, ADA Bathrooms, Tap Water Quality
43:38 – For Naysayers: Is Building a Directory Worth It in 2026?
47:51 – LLMs, AI Search & the Future of Directories
Links Mentioned:
Outscraper: https://startup-ideas-pod.link/outscraper
Crawl4AI: https://startup-ideas-pod.link/crawl4AI
Key Points
Data is the moat for any successful directory — and with Claude Code plus Crawl4AI, the hardest part (data cleaning and enrichment) is now dramatically faster and cheaper.
Every successful directory helps people save time, save money, or make …
-
How I use AI Marketing and Claude Code to make $$
11 februari 2026 · 45 min
I sit down with Jonathan Courtney, host of Unscheduled CEO Podcast, to talk about the gap between building AI-powered products and actually making money from them. Jonathan walks through his four-step "Promoter Blueprint" — traffic, holding pattern, selling event, and conversion — and shows exactly how he uses Claude and Claude Code to execute each phase. This one is a wake-up call for any founder spending more time optimizing automations than promoting what they sell. Lees meer
Timestamps
00:00 – Intro and Welcome Back
04:13 – The Founder’s Real Job: Promotion, Period
09:23 – The Promoter Blueprint (Screen Share)
19:38 – Using AI with Promoter Blueprint
22:52 – Inside Claude: Jonathan's Claude Workflow
28:41 – Moving from Claude to Claude Code for Builds
30:55 – Building a $450K Webinar Campaign with Claude
37:30 – Scale Up, Abundance Over Efficiency
43:57 – Final Advice: Embrace Your Role as Promoter
Key Points
A CEO's primary job is promoting the business — building is secondary to getting people in the door.
AI tools become "procrastination machines" when builders optimize systems that have zero customers.
Every revenue engine follows four phases: traffic, holding pattern, selling event, conversion (and a loop back).
Claude projects combined with Claude Code create a fast workflow for going from research to a shipped marketing asset in under an hour.
The current play is abundance and scale, using AI to run five campaigns instead of one, rather than cutting headcount for efficiency.
Off-the-shelf solutions still beat custom builds in many cases — always ask before you spend three days vibe-coding something.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing …
-
AI marketing Masterclass: From beginner to expert in 60 minutes
9 februari 2026 · 59 min
I sit down with James Dickerson, a growth marketer, Claude Code power user, and the mind behind The Boring Marketer, to watch him build an entire marketing system live from the terminal. James walks me through his full workflow: deep research with the Perplexity MCP, positioning angle discovery, direct response copywriting, landing page creation, lead magnet design, ad creative generation with Remotion, and traffic strategy — all inside Claude Code using stacked skills and MCPs. By the end, we have a conversion-ready funnel for a fictional AI marketing agency serving boring local businesses, and James shares the free playbook he created from a two-hour recorded session so listeners can replicate the process themselves. Lees meer
Timestamps
00:00 – Intro and Camera Setup Chat
02:57 – Episode Preview: Building a Vibe Marketing System
06:33 – Perplexity MCP for Market Research
08:13 – Live Demo: Researching an AI Marketing Agency Niche
09:48 – Positioning Angles Skill
11:34 – Direct Response Copywriting Skill
15:43 – Playwright MCP for Competitive Intelligence
17:37 – Keeping Your MCP Stack Simple (Perplexity, Firecrawl, Playwright)
20:59 – Anthropic's Front End Design Skill
25:51 – Remotion: Creating Video Ads from the Terminal
28:47 – Landing Page Review: "Boring Money" Agency
30:43 – Orchestrator Skill: Deciding What to Do Next
34:10 – Lead Magnet Skill
34:10 – Are Skills Underrated
39:08 – Claude Code Costs: $200/Month Max Subscription
42:03 – Live Lead Magnet Review
43:28 – Keyword Research and Traffic Strategy Skills
45:23 – The Evolution of Vibe Marketing
47:11 – Remotion Setup and Ad Creation Demo
54:47 – Final Ad and SEO Page Review
57:25 – Final Thoughts
Links Mentioned:
Vibe Marketing Playbook: https://startup-ideas-pod.link/vibe_marketing_playbook
Vibe Marketing Skills: https://startup-ideas-pod.link/Vibe_marketing_skills
Key Points
Spending an hour on upfront research with the Perplexity MCP produces dramatically better marketing outputs …
-
Claude Opus 4.6 vs GPT-5.3 Codex: Live Build, Clear Winner
6 februari 2026 · 49 min
I sit down with Morgan Linton, Cofounder/CTO of Bold Metrics, to break down the same-day release of Claude Opus 4.6 and GPT-5.3 Codex. We walk through exactly how to set up Opus 4.6 in Claude Code, explore the philosophical split between autonomous agent teams and interactive pair-programming, and then put both models to the test by having each one build a Polymarket competitor from scratch, live and unscripted. By the end, you'll know how to configure each model, when to reach for one over the other, and what happened when we let them race head-to-head. Lees meer
Timestamps
00:00 – Intro
03:26 – Setting Up Opus 4.6 in Claude Code
05:16 – Enabling Agent Teams
08:32 – The Philosophical Divergence between Codex and Opus
11:11 – Core Feature Comparison (Context Window, Benchmarks, Agentic Behavior)
15:27 – Live Demo Setup: Polymarket Build Prompt Design
18:26 – Race Begins
21:02 – Best Model for Vibe Coders
22:12 – Codex Finishes in Under 4 Minutes
26:38 – Opus Agents Still Running, Token Usage Climbing
31:41 – Testing and Reviewing the Codex Build
40:25 – Opus Build Completes, First Look at Results
42:47 – Opus Final Build Reveal
44:22 – Side-by-Side Comparison: Opus Takes This Round
45:40 – Final Takeaways and Recommendations
Key Points
Opus 4.6 and GPT-5.3 Codex dropped within 18 minutes of each other and represent two fundamentally different engineering philosophies — autonomous agents vs. interactive collaboration.
To use Opus 4.6 properly, you must update Claude Code to version 2.1.32+, set the model in settings.json, and explicitly enable the experimental Agent Teams feature.
Opus 4.6's standout feature is multi-agent orchestration: you can spin up parallel agents for research, architecture, UX, and testing — all working simultaneously.
GPT-5.3 Codex's standout feature is mid-task steering: you can interrupt, redirect, and course-correct the model while it's actively building.
In the live head-to-head, Codex finished a Polymarket competitor in under…
-
I fixed Claude Code for you in 30 seconds
4 februari 2026 · 25 min
I sit down with Matt Van Horn, creator of the "Last 30 Days" skill for Claude Code, as he demonstrates how this tool turns anyone into a real-time research expert. By pulling trending data from X, Reddit, and the web, Last 30 Days supercharges Claude Code prompts with current intelligence. Matt walks through live demos, from discovering popular rap songs to generating cold emails to building a Moltbot competitor, showing how non-engineers can ship products using AI tools with almost no coding background. Lees meer
Timestamps
00:00 – Intro
01:39 – What Is "Last 30 Days"
03:29 – Live Demo: Most Popular Rap Songs
04:47 – Cold Email Frameworks Demo
07:04 – Growing an X Following Using Recent Data
07:49 – Researching Moltbot to Build a Competitor
08:26 – Best Practices for Last 30 days
09:26 – Growing an X Following Using Recent Data Results
11:17 – Best Practices for Webdesign Research
13:44 – Building an Enterprise Moltbot Clone Live
17:43 – Generating Figma Prompts and Nano Banana Images
21:54 – Advice for Non-Engineers Getting Started with Claude Code
Links Mentioned:
Last 30 Days Skill: https://startup-ideas-pod.link/last30days
Key Points
Last 30 Days searches X, Reddit, and the web for content from the past month, creating highly optimized prompts for Claude Code.
The tool requires Claude Code access, an OpenAI API key (for Reddit data), and an XAI key (for X/Twitter access).
Matt demonstrates using minimal prompts to generate cold email frameworks, research trending topics, and kickstart new product builds.
Compound Engineering serves as a planning tool to turn research into structured project roadmaps.
Non-engineers can ship functional products by combining Claude Code with ChatGPT for troubleshooting errors via screenshots.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps,…
-
Screensharing Kevin Rose's AI Workflow/New App
2 februari 2026 · 56 min
I sit down with Kevin Rose for a live screen share where he walks me through “Nylon,” a personal Techmeme-style news engine he vibe-coded to track AI and tech stories. He breaks down how he pulls from RSS, enriches articles with tools like iFramely, Firecrawl, and Gemini, then generates TLDRs and vector embeddings to cluster stories with real nuance. We dig into his “gravity engine,” an editorial scoring system that ranks stories by impact, novelty, and builder relevance. The bigger theme is simple: with today’s models and workflows, a solo builder can ship wild, high-leverage software fast, then refine by cutting features down to the few that matter. Lees meer
Timestamps:
00:00 – Intro And What Kevin Plans To Demo
03:10 – Techmeme Breakdown And How Signal Gets Ranked
06:44 – RSS Sources, Ingestion, And The Article Pipeline
11:23 – Winner Selection: RSS vs iFramely vs Firecrawl vs Gemini
13:01 – Why iFramely And Firecrawl, Explained
16:37 – TLDRs, Vector Embeddings, And Why They Beat Keyword Search
19:49 – Task Orchestration With trigger.dev And Retries
24:58 – Clusters: Expanding With Search APIs And Discovery
27:07 – The Gravity Engine: Editorial Scoring Rubric
31:31 – Product Management: Gut, Iteration, And Cutting Features
34:53 – Synthetic Audiences And Personal Software
37:03 – What “Success” Looks Like
43:52 – Retention Mechanics And The Idea Browser Example
47:19 – “Blurred Presence” Blog Project From A 12-Year-Old Idea
50:34 – This the best time to build
51:55 – How To Work With Kevin, DIGG Reboot, And VC Today
Keypoints
I watch Kevin’s end-to-end pipeline for turning messy RSS links into clean, enriched, clustered stories.
Kevin uses a “winner” judge to pick the best source of truth per field (summary, main content, metadata).
Vector embeddings plus clustering unlock meaning-level grouping that keyword search misses.
trigger.dev gives durable background jobs, retries, and observability for a solo builder workflow.
His “gravity engine” acts li…
-
How I Use Clawdbot to Run My Business and Life 24/7
29 januari 2026 · 31 min
I sit down with Kitze to unpack how he uses Clawdbot as a personal OS that runs across Discord, Telegram, and other chat surfaces. We walk through his one-gateway setup, persona-based bots, and the way he structures channels and threads to manage customers, home logistics, and engineering work. We also dig into the self-learning angle: giving an agent shell and network access so it can discover devices, build dashboards, and automate workflows end to end. We close with a lightning round of concrete examples you can adapt across your own life and business. Lees meer
Timestamps
00:00 – Intro
01:42 – The Personal OS Idea
04:20 – Persona Design for Clawdbot
06:00 – Discord As The Control Center
08:23 – Self-Learning Through Shell And Network Access
09:23 – Discord Threads And Agent Workflows
10:13 – Platform Choices: Telegram, Discord, Slack
11:47 – Email Automation, Security, And Model Selection
15:07 – How Agents Change Work
18:00 – Lightning Round of Clawdbot use cases
27:09 – Spellbook: Variable-Driven Prompt Templates
29:15 – Closing Thoughts
Key Points
I treat Clawdbot like a gateway that routes the same core agent into many persona shells for distinct jobs
I keep work organized via Discord sections, channels, and threads so agent output stays searchable
I lean on shell and network access to let the agent discover devices and ship automations that span apps, NAS, and smart home
I use stronger models for high-trust surfaces like email and credentials, and I scope access gradually
I prototype interfaces that turn prompts into parameterized forms so workflows stay reusable and fast
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibe…
-
Clawdbot Clearly Explained (and how to use it)
27 januari 2026 · 35 min
I sit down with Alex Finn to break down how he sets up Moltbot (formally Clawdbot) as a proactive AI employee he treats like a teammate named Henry. We walk through the core workflow: Henry sends a daily morning brief, researches while Alex sleeps, and ships work as pull requests for review. Alex explains the setup that makes this work; feeding the bot deep personal and business context, then setting clear expectations for proactive behavior. We cover model strategy (Opus as “brain,” Codex as “muscle”), a “Mission Control” task tracker Henry built, hardware options, and the security mindset around prompt injection and account access. Lees meer
Timestamps
00:00 – Intro
02:08 – Clawdbot Overview
03:33 – The Morning Brief Workflow
05:01 - Proactive Builds: Trends → Features → Pull Requests
07:27 – The Setup: Context + Expectations For Proactivity
09:38 – The Onboarding Prompt Alex Uses
12:05 – Hunting “Unknown Unknowns” For Real Leverage
12:43 – Using the right Models for cost control
14:18 – Mission Control: A Kanban Tracker Henry Built
17:16 – The future of Human and AI workflow
22:01 – Hardware And Hosting: Cloud vs Local (Mac Mini/Studio)
25:47 – The Productivity Framework
27:10 – The Possible Evolution of Clawdbot
28:53 – Security and Privacy Concerns
33:38 – Closing Thoughts: Tinkering, Opportunity, And Next Steps
Key Points
I get the most leverage when I treat the agent like a proactive teammate with clear expectations and rich context.
Henry delivers compounding value by shipping work for review (pull requests) based on trend monitoring and conversation memory.
I separate “brain” and “muscle” by delegating heavy coding to Codex while using Opus for reasoning and direction.
I track autonomous work with a dedicated “Mission Control” board so progress stays visible over time.
I keep risk contained by controlling environment and account access, especially around email and prompt injection.
The #1 tool to find startup ideas/trends - https://www.ideabro…
-
Inside $180B Co-Founder's AI Agent System
26 januari 2026 · 31 min
I sit down with Furqan Rydhan, a founding team member of Applovin and cofounder Founders Inc, as he walks me through Nebula, a Slack-like workspace where every channel holds an agent that can execute real work across the tools teams already use. We watch Nebula create and edit a Google Slides deck end-to-end, including generating an image and handling failures by retrying until it lands. Furqan shows how Nebula turns one-off work into repeatable “recipes” with scheduled triggers, like adding slides daily or publishing blog posts multiple times per day. We also talk about what “business-in-a-box” looks like in the AI era; where direction, taste, and quality loops become the edge as automation gets widely available. Lees meer
Timestamps:
00:00 – Intro
01:51 –Building useful agents for real work
03:34 – Nebula: a Slack-like agent workspace
05:04 – Demo: Nebula creating a Deck with Google Slides
13:25 – The “business in a box” content dream (newsletters, affiliates, ads)
14:39 – Demo: Automate Blog Posting
15:52 – What stays valuable when everyone automates
21:23 – Agent workforce and Building quality loops
25:38 – Services and agencies: delivering work with fewer humans
28:53 – Final Thoughts
Key Points
I watch Nebula run like “cloud code for everything else,” automating real work across tools and workflows.
Agents turn one-time actions into repeatable systems via triggers and schedules.
The interface mirrors Slack because work already lives in channels, threads, and context.
Quality becomes the differentiator: critics, scoring, and iteration loops upgrade outputs over time.
Service businesses and agencies scale faster when agents handle production-heavy tasks
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Res…
-
Claude Code's Creator Reveals "Claude Cowork"'s Setup
23 januari 2026 · 42 min
In this episode, I sit down with Boris, the creator of Claude Code and one of the key builders behind Claude Cowork, to unpack what Cowork actually unlocks and how people use it in the real world. He walks through a hands-on demo where Cowork organizes files, extracts receipt data, builds a clean spreadsheet, and even drives the browser to create and share a Google Sheet. We go deep on how “agentic” work feels different when the model takes actions across your computer, your browser, and your tools. Then I shift into Boris’s viral workflow for Claude Code: parallel sessions, plan-first execution, Claude.md as a compounding team memory, and verification loops that dramatically improve output quality. Lees meer
Timestamps:
00:00 – Intro
03:26 – Cowork Overview
05:51 – Demo: Folder Access + Renaming Receipts
08:23 – Demo: Turning Receipts Into A Spreadsheet
10:52 – Demo: Google Sheets + Chrome Control
15:52 – Demo: Emailing The Sheet + Parallel Tasking
22:07 – Best way to start/use with Cowork
24:22 – Where will AI and Agents Go Next
28:44 – Boris’s Claude Code Setup
41:12 – The “Claude” Pronunciation Discussion
Key Points
I use Cowork as a “doer,” not a chat: it touches files, browsers, and tools directly.
I think about productivity as parallelism: multiple tasks running while I steer outcomes.
I treat Claude.md as compounding memory: every mistake becomes a durable rule for the team.
I run plan-first workflows: once the plan is solid, execution gets dramatically cleaner.
I give Claude a way to verify output (browser/tests): verification drives quality.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/
FIND ME ON SOCIAL…
-
Claude Code Clearly Explained (and how to use it)
19 januari 2026 · 31 min
In this episode, I sit down with Professor Ras Mic for a beginner-friendly crash course on using Claude Code (and AI coding agents in general) without feeling overwhelmed by the terminal. We break down why your output is only as good as your inputs and how thinking in features + tests turns “vague app ideas” into real, shippable products. Was walks me through a better planning workflow using Claude Code’s Ask User Question Tool, which forces clarity on UI/UX decisions, trade-offs, and technical constraints before you build. We also talk about when not to use “Ralph” automation, why context windows matter, and how taste + audacity are the real differentiators in 2026 software. Lees meer
Timestamps
00:00 – Intro
01:22 – Claude Code Best Practices
05:31 – Claude Code Plan Mode
09:30 – The Ask User Question Tool
14:52 – Don’t start with Ralph automation (get reps first)
16:36 – What are “Ralph loops” and why plans and documentation matter most
18:41 – Ras’s Ralph setup: progress tracking + tests + linting
23:48 – Tips & tricks: don’t obsess over MCP/skills/plugins
27:44 – Scroll-stopping software wins
Key Points
Your results improve fast when you treat AI agents like junior engineers: clear inputs → clean outputs.
The biggest unlock is planning in features + tests, not broad product descriptions.
Claude Code’s Ask User Question Tool forces real clarity on workflow, UI/UX, costs, and technical decisions.
If you haven’t shipped anything, don’t hide behind automation—build manually before using “Ralph.”
Context management matters: long sessions can degrade quality, so restart earlier than you think.
Numbered Section Summaries
The Real Reason People Get “AI Slop” I frame the episode around a simple idea: if you feed agents sloppy instructions, you’ll get sloppy output. Ras explains that models are now good enough that the failure mode is usually unclear inputs, not model quality.
How To Think Like A Product Builder (Features First): Ras pushes a practical mindset:…
-
Build a $1M+ Solopreneur Business Using AI
16 januari 2026 · 42 min
Today I’m joined by Samuel Thompson, an internet capitalist who’s launched 100 companies in 10 years, and he walks me through a live, end-to-end build of an info product using AI. We break down how he goes from idea → AI-written book → mockups → Shopify product page → ad creatives in a ridiculously short amount of time. The big takeaway is that this isn’t just “info products,” it’s a repeatable launch system you can apply to e-comm, SaaS, mobile apps, and pretty much anything where customer acquisition matters. We also get into the real game: CAC vs LTV, conversion rates, and how to build what Sam calls a “rigged slot machine” you can scale. Lees meer
Timestamps
00:00 – Intro
02:32 – Choosing the offer
05:36 - Writing ebook with ChatGPT (outline → chapters → upgrade quality)
07:30 – Mockups with Canva & Envato Elements
10:25 – Shopify themes that convert (Solo Drop + Elixir)
12:05 – Finding products to sell
16:28 - Building the Shopify Store
21:16 – Using ChatGPT to generate product-page copy fast
24:13 – What “good” conversion rates look like (3–5% target range)
28:51 – Bonus gifts strategy = perceived value + conversion lift
33:26 – HeyGen for AI photo/video ad assets + voice clone insight
35:37 – Canva static ads + high-performing angles
38:57 – Big picture: one person can build a “real business” with AI
Key Points
Sam’s launch loop is offer → AI asset creation → Shopify page → Meta ads → iterate on math
Start with low-friction products (ebook/info) to validate customer acquisition fast
The real framework is CAC vs AOV vs conversion rate, not “brand vibes”
3–5% conversion rate is a strong target on a direct-response product page
Use bonus gifts to increase perceived value and lift conversion
Static ads + strong angles can outperform everything when the message hits
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We t…
-
6 Scalable Startup Ideas (You Can Start Tomorrow)
12 januari 2026 · 55 min
In this episode, I sat down with Chris Koerner and we go through a set of approachable startup ideas that start low-friction but can scale if you get distribution right. We start with a potential “app ecosystem” opportunity around Facebook Marketplace, plus a product-studio framework that combines short-form video, AI, and 3D printing to validate “dumb” products via demand before you invest. We then jump to more grounded, local-first ideas—bike washing/maintenance subscriptions, bar anti-spike stickers, and even vending-machine concepts like “shiny rock” drops at trailheads. We close with a weird Pokémon-card “meme + supply control” play inspired by the Kabuto King, including Chris’s own collecting “big reveal.” From there, I dig into why PSA-style grading feels slow and expensive, and we workshop a more modern grading experience (including a livestream/packaging angle and an AI-from-photo approach). Lees meer
Timestamps
00:00 – Intro
02:28 – Startup Idea 1: Facebook Marketplace App Studio
07:43 – Startup Idea 2: DTC Product Studio
17:05 – Startup Idea 3: Bike Washing/Maintenance Subscription
24:29 – Startup Idea 4: Anti-Drink-Spike Stickers
31:55 – Startup Idea 5: Shiny Rock Vending Machines
36:37 – Startup Idea 6: The Kabuto King and Card Grading
Key Points
I look for “alpha” where people are already obsessing, but the market structure is still primitive (like collectibles + grading).
I treat “distribution” as the multiplier—short-form can make “dumb” products viable if the content loop is strong.
I push for starting manually first (prove demand), then upgrading into infrastructure, subscriptions, and scale.
I pay attention to marketplaces with huge usage but weak third-party tooling—there’s often a platform-layer opportunity there.
I keep coming back to “repackaging” as a business model: same underlying thing, new wrapper, new buyer, new channel.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com
LCA helps Fortune 500s and fast-growing …
-
"Ralph Wiggum" AI Agent Explained (& How to Use It)
8 januari 2026 · 29 min
We got Ryan Carson on the pod to break down the “Ralph Wiggum” Agent and why it’s suddenly everywhere. He walks me through a simple workflow that lets an autonomous agent build a full product feature while I sleep: start with a PRD, convert it into small user stories with tight acceptance criteria, then run a looped script that ships work in clean iterations. The big idea is you’re not “vibe coding” one giant prompt—you’re giving the agent testable, bite-sized tickets and letting it execute like an engineering team. By the end, Ryan shows how this becomes repeatable (and safer) with a memory layer—agents.md for long-term notes and progress.txt for iteration-to-iteration context. Lees meer
Timestamps
00:00 – Intro
02:44 – What is the Ralph Wiggum AI Agent
03:40 – Step 1: PRD Generator
06:11 – Step 2: Convert PRD to Json
09:47 – Step 3: Run Ralph
12:05 – Step 4: Ralph Picks a Task
13:14 – Step 5: Ralph Implements Task
14:49 – Tokens + Cost: What It Actually Spends
15:45 – Guardrails: Small Stories + Clear Criteria Keep It Sane
16:19 – Step 6: Ralph commits the change
16:38 – Step 7: Ralph Updates PRD json file
16:55 – Step 8: Ralph Logs to Progress txt
20:08 – Step 9: Ralph Picks another Task
20:48 – Step 10: Ralph Finishes Tasks
21:18 – Example of how Ryan uses Ralph
24:08 – How To Start Today (Ralph Repo) and Tips
Links Mentioned:
Ralph Wiggum Agent: https://startup-ideas-pod.link/Ralph-agent
AI Agent Skills: https://startup-ideas-pod.link/amp-skills
AMP: https://startup-ideas-pod.link/amp-code
Ryan’s Ralph Step-by-Step Guide: https://startup-ideas-pod.link/Ryans-Ralph-GuideKey Points
I can’t expect “sleep-shipping” unless I translate the feature into small, testable user stories with clear acceptance criteria.
Ralph works like a Kanban loop: pull one story, implement, commit, mark pass/fail, then grab the next.
The real leverage is the reset: each iteration starts fresh with a clean context window, instead of one giant, messy thread.
agents.md becom…
-
How I code with AI agents, without being 'technical'
7 januari 2026 · 34 min
In this episode, I’m breaking down a guide from Ben Tossel on how you can actually build with AI agents without being technical. I walk through what he’s shipped as a “non-technical” builder, why he lives in the terminal/CLI, and the exact workflow he uses to go from idea → spec → build → iterate. We also talk about the meta-skill here: treating the model like your over-the-shoulder engineer/teacher, and using every bug as a learning checkpoint. The takeaway is simple: pick a tool, ship fast, fail forward, and build your own system as you go. Lees meer
Ben’s Article: https://startup-ideas-pod.link/Ben-Tossell-Article
Timestamps
00:00 – Intro
01:04 – What Ben Has Shipped
03:21 – The Workflow: Feed Context → Spec Mode → Let The Agent Rip
07:52 – His Agent Setup
08:56 – Coding On The Go
10:07 – Things to Learn
13:33 – The New Abstraction Layer: Learning To Work With Agents
14:33 – Learning from Others
16:15 – Use The Model As Your Teacher (Ask Everything)
18:13 – Contributing to Real Products
19:13 – Why this is Different
21:31 – Asking Silly Questions
24:00 – Beyond “Vibe Coding”: A New Technical Class
24:43 – Vibe Coding is a game
27:12 – Fail Forward + Permission To Build And Throw Things Away
28:16 – Pick One Tool, Minimize Friction, Keep Shipping
Key Points
I don’t need to be a traditional engineer to ship—I can learn by watching agent output and iterating.
The terminal/CLI is the power move because it’s more capable and I can see what the agent is doing.
“Spec mode” works best when I interrogate the plan like a philosopher instead of pretending I understand everything.
agents.md becomes my portable instruction manual so every new repo starts clean and consistent.
The fastest learning path is building ahead of my capability and treating bugs as checkpoints—fail forward.
Numbered Section Summaries
The Thesis: Non-Technical Doesn’t Mean Non-Builder I open with Ben’s core claim: you can ship real software by working through a terminal with agents, ev…
-
Making $$ with Alibaba's NEW AI Agents (Full Demo)
5 januari 2026 · 26 min
I walk through Alibaba’s new AI agent tool, Accio, and show how it helps you go from “what should I build?” to actual product concepts and supplier options. I demo how it spots rising trends, pulls specific product opportunities (with context like search and sales movement), and even generates early design concepts. Then I test it on a real research task and use that to spin up a “cozy gaming” keyboard concept aimed at Gen-Z women. I close by showing how Accio can vet suppliers and even draft a supplier outreach email so you can start the sourcing process faster. Lees meer
Timestamps
00:00 – Intro
01:55 – Trend Spotting Demo
03:31 – Designing Products Demo
07:04 – Product Opportunity Pain Points Demo
10:10 – Supplier Search Demo
11:06 – Mechanical Keyboard Market Research and Pain Points
16:03 – Cozy Gaming Mechanical Keyboard For Gen Z Women
18:42 – Supplier Vetting + Due Diligence
22:00 – Supplier Outreach
Key Points
Accio compresses the e-commerce workflow: trends → product ideas → design concepts → supplier shortlists.
The real leverage is pairing insights (ratings, negative tags, review pain) with concrete product recommendations.
The “agent task” flow feels like a research assistant: it gathers sources, updates a plan, and synthesizes outputs.
Accio can move from concept to execution by suggesting suppliers and drafting a structured inquiry email.
You still need real diligence: call suppliers, vet claims, and start with small orders.
Numbered Section Summaries
Accio As An “Unfair Advantage” For E-Commerce I introduce Accio as an AI agent built around e-commerce workflows—idea generation, trend analysis, product concepts, and supplier sourcing. My core point is it reduces the friction that usually keeps me (a software person) from starting e-commerce.
Trend Spotting That Goes Beyond Generic Charts Using a baby products example, I show that it’s not just search/sales graphs—it surfaces specific product categories and differentiators (like smart feature…
-
Set Up Claude Skills in 21 Mins (for Non-Technical People)
24 december 2025 · 20 min
In this episode, I walk through a beginner-friendly, step-by-step way to set up Claude Skills so you can get more consistent, higher-value output over time. I show where to enable Skills (it’s not on by default), how to create a new skill using Claude’s “create a skill together” flow, and why Skills are different from Projects for ongoing, reusable workflows. Then I demo a real example: building a conversion-focused copywriting review skill for an agency workflow, installing it, and testing it on app store screenshots + website copy. I close with how to level up Skills by iterating them over time, using a 10-step process I reference from a “Boring Marketer” tweet. Lees meer
Timestamps:
00:00 – Intro
00:40 – Enable Skills (Settings → Capabilities → Skills Preview)
01:21 – Creating a new skill
06:34 – Why Skills are important Projects for “always-on” workflows
07:49 – Reviewing the skill
10:34 – Installing the skill (copy to skills / upload in Skills)
11:28 – Testing the Skill 16:14 – How to improve skill over time
Key Points
Skills make Claude’s output more consistent because you bake in reusable context and workflows.
Skills aren’t enabled by default—turn them on in Settings → Capabilities.
The easiest path for most people is “Create a skill together,” then answer Claude’s scoping questions.
A strong skill includes frameworks, scoring, and an output template—not vague advice.
The real power comes from iterating: test on real scenarios, critique, refine, and keep improving the skill over time.
Numbered Section Summaries
Why Skills Matter For Beginners I open by explaining that Skills help you get more consistent, higher-value output from Claude over time, especially if you’re a beginner and want repeatable results.
Turn On Skills First Skills aren’t enabled by default, so I show the exact path: Settings → Capabilities → enable the Skills preview feature.
Create A Skill (Three Paths) I walk through the three options: create with Claude, write skill instructio…
-
The OpenAI Launch Nobody's Talking About (ChatGPT Skills)
22 december 2025 · 19 min
Today I break down a big news item I think is flying under the radar: OpenAI quietly launched Skills for Codex, and I explain what that means (and how it differs from sub-agents and MCPs). I then share a fast-moving trend I’m watching and why it’s a strong wedge for a simple app. After that, I recommend the to-do app I’ve used for 14 years and give away a startup idea. I close with a practical 6-step framework for going from idea → viral validation → mobile app launch in 2026. Lees meer
Timestamps
00:00 – Intro: the new format (news, trend, app, startup idea, framework)
00:40 – AI New Item: OpenAI launches Skills for Codex
05:45 – Trend: Face Yoga
07:56 – App Recommendation: Things
09:33 – Startup Idea: Call-an-expert service for non-developers stuck at 80% done
14:44 – Framework: Viral Mobile App Framework
Key Points
OpenAI “Skills” make Codex/ChatGPT more reusable and consistent by packaging repeatable workflows.
A “skill” is the recipe, a “sub-agent” is extra worker instances, and an “MCP” is the tool access plug.
Face yoga is an emerging sub-niche with clear app potential (simple routines, monetization via paid or ads).
Last 20 is a practical marketplace idea: pay for 15 minutes of expert unblock help to finish the last 20%.
Viral validation favors apps that are visually obvious, explainable in three words, and tied to insecurity-driven outcomes.
Numbered Section Summaries
OpenAI Skills: The Quiet Upgrade I walk through OpenAI’s launch of Skills for Codex—reusable bundles of instructions/scripts/resources that can be called directly or chosen automatically. I’m excited because this makes agent workflows more consistent and scalable across tasks.
The Foundation: Skill vs Sub-Agent vs MCP I clarify the taxonomy: a skill is the written playbook, sub-agents are extra “worker” copies of the model that split a big job, and MCPs are what let the model access external systems like tickets or repos. This is the mental model I want everyone using going into 2026.
…
-
Claude's Agent Mode was LEAKED (First Look)
17 december 2025 · 20 min
In this episode, I go over one AI news item I can’t stop thinking about, one trend you can build a business around, two tools I’m using, one startup idea you should steal, and one framework to end on. I start with a leak suggesting Anthropic is productizing “agent mode” for Claude with structured task buckets and a progress/context UI. Then I use Hyrox as an example of how I validate trends quickly with search data (and what “low competition + cheap CPC + explosive growth” signals). I wrap by pitching a hotel guest-communication concierge and the “thousand people framework” for getting to clarity on your ICP and what they’ll reliably pay for. Lees meer
Timestamps
00:00 – Intro
00:32 – AI New Item: Anthropic leak: Agent Task Mode for Claude
04:47 – Trend: Hyrox
08:59 – AI App: Krea and Notebook LLM
12:23 – Startup idea: Digital Hotel Concierge
15:59 – Framework: The “1000 People”
For founders doing $50k+ MRR+: https://startup-ideas-pod.link/offline-mode
Key Points
Agent workflows get “productized” when the UI guides the task (not just a blank prompt box).
Trend validation can be fast: look for explosive growth + low competition + cheap CPC, then ideate apps around it.
NotebookLM’s slide generation is an underrated workflow for turning sources into clean decks.
The “Guest Guide” concept is a simple AI/QR wedge: answer repetitive hotel questions and monetize per property.
The thousand-people exercise forces clarity: who exactly buys, what they pay yearly, and how you reach them.
Section Summaries
The Claude Agent Mode Leak I break down a leak claiming Anthropic is preparing a more structured “agent mode” for Claude, organized into buckets like research, analyze, write, and build plus choices like depth, format, and outputs. The big shift is moving from “open chat” to “delegating distinct tasks” with visibility into progress and context.
Productized Prompts = Better Output I explain why a blank text box can be daunting, and why UI that scaffolds intent (validate…
-
Make 2026 the Best Year (Answer These 7 Questions)
15 december 2025 · 52 min
I’m joined by Sahil Bloom for a throwback episode where he walks me through his “personal annual review,” a 7-question framework to reflect on 2025 and set yourself up to crush 2026. We talk about why reflection beats raw experience, how to use your calendar to surface what you’ve actually changed your mind on, and how to identify what creates vs. drains your energy. We dig into “boat anchors” (the hidden drag holding you back), what fear kept you from doing, and how to learn from both your greatest hits and worst misses. By the end, you’ll have a practical set of questions you can answer on paper to extract real insights from the year and carry them forward. Lees meer
Get the Personal Review Template: https://www.sahilbloom.com/annual-review
Timestamps
00:00 – Intro
02:54 – Why Reflection Matters (The “Annual Review” Setup)
04:12 – Q1: What Did I Change My Mind On?
11:29 – Q2: What Created Energy This Year?
18:58 – Q3: What Drained Energy This Year?
25:05 – Q4: What Were The Boat Anchors In My Life?
33:06 – Q5: What Did I Not Do Because Of Fear?
39:51 – Q6: Greatest Hits & Worst Misses (And Why)
44:04 – Q7: What Did I Learn This Year? (Synthesize 3–10 Learnings)
Key Points
You don’t learn from “having a year,” you learn from reflecting on it, and that reflection becomes usable data for the next year.
Your outcomes follow your energy, use your calendar to identify what creates energy and what drains it, then adjust accordingly.
For “draining” activities, evaluate how you feel after (not during), because many high-value things feel hard in the moment.
The fastest progress often comes from cutting what holds you back (“boat anchors”), not adding new habits or protocols.
Fear is often inexperience (not inability); shine a light on it with deconstruction exercises (e.g., upsides vs. downsides) and take action.
“Hits vs. misses” reflection prevents bias, overly critical people only see misses; optimists only see wins, both lose learning.
The #1 tool to find sta…
-
Prompt Claude better than 99% of people
10 december 2025 · 17 min
In this solo episode, I walk through 10 concrete rules to get way more out of Claude Code and Claude Opus 4.5, based directly on tips Anthropic has shared in their docs and blog posts. I show how to move from vague prompts to architected briefs that use tone, constraints, structure, and power phrases to avoid “AI slop.” I demo examples across writing, research, teaching, and planning so you can see exactly how to apply each rule. By the end, you have a practical playbook for prompting Claude like a teammate and using it as a true thinking partner in your work. Lees meer
Timestamps
00:00 – Intro
00:56 – Rule #1: Tone of collaboration
02:16 – Rule #2: Principle of explicitness (action verbs, quantity, audience)
03:20 – Rule #3: Define the boundaries with clear constraints
04:26 – Rule #4: Draft, plan, then act (outline → refine → execute)
06:39 – Rule #5: Demand structured output (tables, formats, schemas)
08:00 – Rule #6: Explain the “why” behind your request
09:05 – Rule #7: Control brevity vs. verbosity (expert, brief, simplifier)
10:21 – Rule #8: Provide a scaffold and templates
11:21 – Rule #9: Use “power phrases” and expert personas
12:28 – Rule #10: Divide and conquer complex projects
14:09 – Putting it all together with an example
For founders doing $50k+ MRR+: https://startup-ideas-pod.link/offline-mode
Key Points
I share 10 specific prompting rules that come directly from how Anthropic suggests people use Claude.
I show how friendly, clear, and firm prompts beat either vague or overly polite requests.
I demonstrate how explicit constraints (length, style, audience, banned words) create more creative and focused outputs.
I use outlines, scaffolds, and structured formats to turn Claude into a planning and synthesis engine instead of a random text generator.
I introduce “power phrases” like “think step by step” and “critique your own response” to unlock more advanced reasoning.
I wrap everything into a final Stoicism lecture prompt that combines per…
-
10 Unknown SaaS Making $50K+ MRR (Copy Them)
8 december 2025 · 1 uur 2 min
On this episode I sit down with Rob Hoffman, who runs a portfolio of profitable SaaS businesses (Contact, Mentions, Kleo). Rob breaks down six proven customer acquisition playbooks using real examples doing between ~$20K and $300K MRR. The episode walks through concrete strategies like waitlist launches, trend-jacking, language arbitrage, AI search, signal-search, and high-ticket ads. You will learn how to go beyond “vibe coding” and use structured marketing systems to get their first customers, raise prices, and scale more predictably. Lees meer
Timestamps
00:00 – Intro
04:16 – 1) Waitlist Strategy: Kleo & Mentions Case Study
19:45 – 2) Wave Surfer Strategy: TrustMRR Case Study
27:54 –3) Language Arbitrage Strategy: Teachizy Case Study
33:53 – 4) AI Search Strategy: Tally Case Study
40:30 – 5) Signal Search Strategy: LocalRank Case Study
50:04 – 6) High Ticket Ad Strategy: MailScale Case Study
Key Points
Most indie builders can ship products but struggle to get customers; Rob packages his experience into six repeatable acquisition playbooks.
The Waitlist Strategy pairs “edgy sales” content with email nurturing, scarcity, and beta cohorts to quickly reach tens of thousands in MRR.
Riding an existing wave (like fake-MRR discourse on X) plus product-led virality can generate huge attention, which is better monetized with ads than subscriptions.
Language and geo arbitrage—cloning a winning SaaS into another language/market—combined with non-English SEO is “marketing on easy mode.”
AI search (ChatGPT, Perplexity, Claude) is an overpowered channel right now; deep “alternatives/versus/best of” pages are heavily cited and convert far better than Google traffic.
Feature-first launches, faceless accounts, and enterprise plans let products like LocalRank and MailScale stack MRR with small audiences, YouTube demos, and high-ticket sales.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com
LCA helps Fortune 500s and fast-growing startups build their f…
-
$50K/month Mobile App Ideas So Good You’ll Quit Your Job
3 december 2025 · 34 min
On this episode, I breakdown eight little-known mobile apps that each generate around $50,000+ per month and explain why they work. I walk through specific examples—from AI video generators and Bible note-takers to vinyl pricing tools and AI English tutors—then explain the common patterns behind their success. The second half of the episode is devoted to six clear frameworks for spotting high-potential niches and designing simple, sticky mobile apps around them. I end the episode with a batch of extra startup ideas built on high-intent inputs like photos, videos, and scans so listeners can “vibe code” their own profitable apps in 2026. Lees meer
Timestamps
00:00 – Intro
02:02 – App 1: Flashloop: AI Video Generator for Viral Character Clips
03:26 – App 2: Bible Note-Taker & Prayer Recorder for Churchgoers
06:35 – App 3: AI Home Decor Interior Design App and Visualization Pain
08:48 – App 4: Moji Lab: Emoji/Sticker Packs and Expression as a Business
11:43 – App 5: Vinyl Snap: Scanning Vinyl Records for Accurate Pricing
13:51 – App 6: Genora AI: Bundling Multiple LLMs into One Assistant
16:45 – App 7: Logo Maker: AI Generated Logos
18:57 – App 8: Menu Fit: Healthy Eating Recommendations at Any Restaurant
20:44 – App 9: LangLearn: Personal AI English Tutor and Duolingo Comparison
22:37 – App 10: Zozo Fit 3D Body Scanner: Tracking Body Change, Not the Scale
25:04 – The “ 50K MRR App Framework”
31:30 – Bonus Startup Ideas
Key Points
Profitable mobile apps often do one high-intent, recurring job for a specific identity-based group, then charge a subscription around that behavior.
Many breakout apps turn photos, videos, or scans (high-signal inputs) into premium insights like valuations, design plans, or tailored recommendations.
Simple, one-screen interfaces with clear before/after transformations make these AI-powered tools feel approachable and addictive to use.
The “50K MRR App Framework” combines spending power, repeating problems, visual inputs, accuracy nee…