The Startup Ideas Podcast

Episoade

• Google's Biggest AI Announcements (I Was There) 22.05.2026 25min

  Live from Google I/O, I sit down with Logan Kilpatrick from the Google DeepMind team to unpack everything Google just announced and what it means for founders, developers, and anyone trying to build with AI right now. We dig into Gemini 3.5 Flash, the new Gemini Omni world model, the expanded Antigravity ecosystem, managed agents in the Gemini API, and the native Android app builder inside AI Studio. Logan breaks down how distillation is pushing Pro-level intelligence into Flash, where the biggest opportunities are for solo founders, and why the agentic era has finally moved from impressive demos to genuinely useful products. Thanks to Google for flying me out to Google I/O and making this conversation possible. Timestamps 00:00 – Intro 00:53 – Gemini 3.5 Flash: The New Workhorse Model 01:49 – How Flash 3.5 Stacks Up Against Sonnet 02:38 – Gemini Omni: A World Model for Any Input and Output 06:18 – Building a Content and Creator Layer on Omni 08:21 – What to look forward to 10:53 – Google Spark and Managed Agents 14:00 – The Agentic Era and Requests for Startups 17:17 – The Antigravity Ecosystem Overhaul 18:51 – AI Studio vs. Antigravity: Vibe Coding vs. Agentic Engineering 21:31 – Native Android Apps Built Inside AI Studio 23:44 – Closing Thoughts Key Points Gemini 3.5 Flash ships as a Sonnet-level workhorse model tuned for long-running agentic tasks, coding, and tool use, available on day one to 900M+ Gemini app users. Gemini Omni is a single model that takes any input and produces any output across video, image, audio, and music, fusing Veo, Nano Banana, Lyria, and TTS into one system. Managed agents in the Gemini API let builders ship agentic products with a single API call, using skills and markdown instead of writing orchestration code. The Antigravity suite now spans an IDE, agent manager, CLI, SDK, and API surface, all sharing the same agent harness that powers Gemini Spark. AI Studio targets vibe coding and now builds native Android apps for free, while Antigravity targets production-quality, million-line-codebase engineering. The cost of intelligence keeps dropping thanks to distillation, opening up smaller markets that previously needed a 40-person team and venture funding to address. 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 X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND LOGAN ON SOCIAL X/Twitter: https://x.com/OfficialLoganK Youtube: https://www.youtube.com/@LoganKilpatrickYT LinkedIn: https://www.linkedin.com/in/logankilpatrick/
• 9 Huge Startup Opportunities in the AI Boom 18.05.2026 1h 8min

  I sit down with my friend Jonathan Courtney, a.k.a. Jicecream, to dig into the 9 biggest startup opportunities I see right now across B2C, AI, mobile, and IRL. We each pick ideas, trade reactions, and pressure-test them live. The conversation ranges from agent-first "action apps" to elder tech, third spaces, hobby retreats, pet health, AI-native media, and the case for selling AI "junior employees" to small businesses. Listeners walk away with a concrete map of where to build in 2026, plus the framing I use to decide which niche is worth marrying. Timestamps: 00:00 – Intro 01:14 – Idea 1: Unscripted Creator Shows (Twitch model for tech) 07:50 – Idea 2: Action Apps: AI Agent Native Apps 16:39 – Idea 3: Loneliness and IRL Communities 26:47 – Idea 4: Elder Tech: Building for 65+ 33:21 – Idea 5: Adult Hobbies 38:17 – Idea 6: AI Employee and AI Agents 45:33 – Idea 7: Personalized Nutrition/Health 53:08 – Idea 8: Pet Health and AI for Animals 57:34 – Idea 9: AI-Native Media Companies Done Right 01:03:18 – Stacking Ideas: Live + Retreats + Entrepreneurs 01:07:22 – Final Thoughts 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 X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND JONATHAN ON SOCIAL Unscheduled CEO Podcast: https://www.unscheduledceo.com/ X/Twitter: https://twitter.com/Jicecream LinkedIn: https://www.linkedin.com/in/jonathan-courtney-4510644b/
• Andrew Wilkinson: AI Agents run my business and life 14.05.2026 47min

  If you want more workflows and tactics to build a business with AI, check out this free workshop: https://www.ideabrowser.com/workshop 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, who had zero coding background, vibe-coded a replacement for Adapar (priced at $50K–$100K/year) in about two weeks. Vector databases trained on Tiny and Andrew's holding company let him query 132 minority investments, P&Ls, and headcount data conversationally. For builders today, Andrew suggests aiming for a $1M–$2M product, then parking gains in TSMC and data center exposure given how fast software moats are eroding. His best prompting tip: ask the model to interview you with multiple-choice questions before generating any output. 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 X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND ANDREW ON SOCIAL X/Twitter: https://x.com/awilkinson Deep Personality: https://deeppersonality.app Tiny: https://www.tiny.com
• The $1M+ Solo AI Agent Business (Full Course) 12.05.2026 47min

  Nick agreed to personally set up your Orgo in a 15 min call: https://startup-ideas-pod.link/orgo_ai 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 like Perplexity, Context7, and X MCP for live docs. 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 X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND NICK ON SOCIAL Youtube: https://www.youtube.com/@nickvasiles Instagram: https://www.instagram.com/nickvasilescu/ Personal Website: https://www.nickvasilescu.com/
• 7 tiny AI agent ideas I built with Genspark Claw 12.05.2026 29min

  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 outcome-based pricing. 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/ #Genspark and #WorkWithGenspark FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/
• Hire a team of AI Agents 08.05.2026 41min

  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. 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 productivity lift available right now. Cheaper models like the Nebula model handle most chief-of-staff tasks well — reserve frontier models like Opus or Sonnet for deep coding or reasoning work. Mini apps inside Nebula are spinnable web dashboards that connect back to your agents — a glimpse of personal software replacing off-the-shelf tools. The new skill is judgment: picking which three to five things to automate out of your week. 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 X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND IMRAN ON SOCIAL X/Twitter: https://x.com/imranye Alif: https://alif.build/
• My AI Design Workflow That Doesn't Ship Slop 12.05.2026 51min

  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. 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 stacking them on top of design md  is what separates custom work from generic vibe-coded output. Taste is the real moat right now, and you build it by surrounding yourself with great design and using every product in your niche. Iteration (90% of the time) keeps a product evolving; remix (10%) takes the same DNA into a new medium or category. The shift in craft is from moving pixels to making judgment calls per minute, with agents handling the mechanical work. 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 X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND MENG ON SOCIAL Aura: https://aura.build X/Twitter: https://x.com/MengTo
• How to win with AI Agents in 2026 29.04.2026 1h 26min

  Limited BONUS: First 1,000 builders get $1,000. Claim yours while supplies lasts.: https://startup-ideas-pod.link/hyperagent 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 autonomous coworkers, not just chat assistants. Reframe agent cost by value delivered: a $150 token spend for a board memo beats hours of human time, so anchor on opportunity cost. The real arbitrage is persistence: 99% of people quit after one shot, while daily practice for 30/60/90 days produces top 1% operators. Skills are the most important primitive in frontier agents, turning generally intelligent models into domain experts through playbooks. HyperAgent's differentiation is a low floor plus a high ceiling, with rubrics, LLM-as-judge evals, and fleet-wide observability for scaling. Aim for $100B companies with under 5 employees, built on fleets of always-on agents mapped to human job roles. 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 X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND HOWIE ON SOCIAL X/Twitter: https://x.com/howietl Hyperagent: https://www.hyperagent.com Airtable: https://www.airtable.com-
• Codex clearly explained (and how to use it) 27.04.2026 1h 26min

  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. 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 both subscriptions and use each model where it shines. The biggest unlock for companies is collecting good examples of finished work so agents can match the bar. 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 X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND RILEY ON SOCIAL X/Twitter: https://x.com/rileybrown Vibe Code App: https://www.vibecodeapp.com Youtube: https://www.youtube.com/@rileybrownai/videos
• ChatGPT Images 2.0 Is Here. I Tested Everything. 22.04.2026 32min

  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. 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 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 X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/
• Hermes Agent clearly explained (and how to use it) 20.04.2026 37min

  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 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 defaulting to your agent for work, then meta-prompting it nightly: "What am I procrastinating? What should I automate? What tool can you build me tonight?" Imran recommends pairing Hermes with Obsidian for a clean daily dashboard and installing G-Stack (a Y Combinator-style startup skill from Gary Tan) if you are building a product. 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 X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND IMRAN ON SOCIAL X/Twitter: https://x.com/imranye Alif: https://alif.build
• Claude Design blew my mind 18.04.2026 59min

  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. 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.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/
• Seedance 2.0: Make 100 AI Ads in 33 mins 17.04.2026 33min

  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. 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 simply labeling an emotion like "sad" or "happy." Seedance V2 is the current default for editing and generating video, yet other models (Kling 3 for cinematic feel, Enhancer V4 for talking-head realism) still win on specific use cases. 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 X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND SIRIO ON SOCIAL Enhancor AI: https://www.enhancor.ai Instagram: https://www.instagram.com/heysirio/ Youtube: https://www.youtube.com/@SirioBerati
• My Claude Code marketing stack (It just works) 13.04.2026 35min

  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. 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 - 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 X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND AMIR ON SOCIAL Humblytics: https://humblytics.com/?via=community X/Twitter: https://x.com/amirmxt Youtube: https://www.youtube.com/@amirmxt
• Building AI Agents (Clearly Explained) 08.04.2026 35min

  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. 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 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 X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND MIC ON SOCIAL X/Twitter: https://x.com/Rasmic Youtube: https://www.youtube.com/@rasmic
• How I use Lindy AI to run my life 06.04.2026 31min

  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. 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 the "chief everything officer" — the overwhelmed founder or executive — rather than developers or power users who want a fully programmable agent. Pricing starts at $49/month for 90-plus percent of users; heavy users can exceed that and are prompted to upgrade. 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 X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND FLO ON SOCIAL X/Twitter: https://x.com/Altimor Lindy: https://www.lindy.ai
• 23 AI Trends keeping me up at night 01.04.2026 31min

  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. 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 Thoughts Key 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 now applies in the AI age; with agents cutting costs, 100 paying customers at $500–$1,000 a month builds a real business. 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 X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/
• Making $$ with AI Marketing 30.03.2026 27min

  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. 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 products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/
• I Built an AI Agent Company (From Scratch) 26.03.2026 46min

  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. 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 values into agent skills and brand guides, because AI can do everything except know what you actually want. Agentic design patterns like engineer-to-QA review loops matter more than one-shotting an entire startup; structure prevents compounding errors. Paperclip tracks every token spent and every task completed, solving the problem of running dozens of agent windows with zero accountability. Importable, shareable company templates (like Gary Tan's G-Stack or a full game studio) point toward a future where you "aqua-hire" proven agent teams instead of building from scratch. 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 X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND DOTTA ON SOCIAL X/Twitter: https://x.com/dotta Paperclip: https://paperclip.ing Github: https://github.com/cryppadotta
• What is Firecrawl? 24.03.2026 27min

  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. 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 - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ \FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/