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Business :: Ideas :: Inspiration :: How to build a $1M+ startup using AI
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Business :: Ideas :: Inspiration :: How to build a $1M+ startup using AI

⪼ Made with 💜 by Polyglot.

How to build a $1M+ startup using AI

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Summary

This episode is a tutorial and demo-style podcast with the intent to educate and inspire solopreneurs, founders, and AI-curious builders. Greg Eisenberg walks Sam Parr through a complete AI-native startup workflow—replacing roles like developer, designer, marketer, and product manager using modern AI agents and tools. The episode showcases how to build, test, launch, and even market a software product in a weekend using tools like IdeaBrowser, Manis, Bolt.new, Lindy, and more—no code required, just AI fluency.

Highlights

  • Big Goal: Replace an entire startup team with AI agents—from ideation to customer acquisition.

  • Step 1: Find the Idea

    • Use IdeaBrowser.com to surface trend-driven, AI-generated startup ideas.
    • Each idea includes name, opportunity score, pricing strategy, go-to-market plan, and founder-fit assessment.

  • Step 2: Sketch the Product

    • Use TLDraw (a FigJam competitor) to diagram your product logic.
    • Images improve output when used with LLM prompts.

  • Step 3: Scope the MVP

    • Use Manis, an AI agent that acts like a product manager.

    • Upload context (text, images, PDFs) and get:

      • A structured product roadmap
      • Quiz question drafts
      • Prompt templates for building/testing

  • Step 4: Build the Frontend

    • Use Bolt.new (or Lovable) to generate complete landing pages and web apps from longform prompts.
    • Example: LLMBoost.com quiz site was built in ~30 mins.

  • Step 5: Automate Customer Acquisition (Vibe Marketing)

    • Use Lindy.ai to build auto-prospecting workflows:

      • Scrape likes/comments from LinkedIn and Twitter
      • Score leads based on activity
      • Trigger automated, personalized emails via Slack emoji reactions

  • Step 6: Close Sales with AI Agents

    • Set up AI email negotiators to respond to pricing requests.
    • Pulls policy from Notion/Docs and applies preset logic.

  • Bonus: Build Feedback Loops

    • Use Twilio + Claude to set up a 1-800 feedback hotline.
    • Summarize transcripts, store in Airtable, notify team via Slack.

  • Key AI Tools Mentioned

    • IdeaBrowser – daily AI-powered idea generator
    • Manis – project-planning AI PM
    • Bolt.new / Lovable – UI/UX co-pilot for non-technical builders
    • Lindy.ai / Gumloop / N8N – workflow automation platforms
    • WhisperFlow – voice-to-text for prompts
    • Superbase – database to store quiz and customer data
    • Stripe – payments integration

  • Greg’s Rule of Thumb:

    • Most "AI-native" businesses start as service businesses
    • Use AI to increase margins and automate delivery
    • Convert service → software once revenue is stable

  • Meta Insight:

    • Asking the LLM what prompt to use is one of the most powerful tricks.
    • Build using AI not just for output—but for strategy and prompt engineering itself.

  • Mindset Takeaway:

    • You can't outsource this. The real unfair advantage is knowing how to use these tools.
    • Learning and building publicly keeps you sharp and discoverable.
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