How Founders Use AI

How people use AI, and the tool for each job.

The AI map of which tool is for which job, checked on 29 October 2026, what changed since July, and every video, thread, guide, podcast and tool behind 360 answered questions on putting AI to work.

What changed since July

  1. 28 Oct 2026 GitHub began including Copilot with GitHub Enterprise licences and added projects to the Copilot app, where several agents work across repositories. Coding agents github.blog
  2. 27 Oct 2026 n8n released the 3.0 beta, a reliability and security release with breaking changes; self-hosting now runs on Docker only and the stable release is due in early December. No-code automation with AI steps blog.n8n.io
  3. 27 Oct 2026 Hex released Hex 4.0, rebuilt for analysts and AI agents working together, with a $100 million raise. Spreadsheets, data and internal tools hex.tech
  4. 26 Oct 2026 Replit launched Replit for Business, and the next day Cloud Agents that let non-engineers propose changes to a company codebase. App builders blog.replit.com
  5. 26 Oct 2026 OpenAI released GPT-6.1 Terra at $1 / $5 per million tokens, half the price of GPT-6.1 Sol. Frontier models openai.com
All 108 changes

What founders use most, ranked by how many answers lean on it.

  1. Explains Postgres power in no-code language, exactly the bridge most founders need. whalesync.com Guide No-Coder's Guide to Supabase Whalesync
  2. The official page on how Lovable, Bolt, and friends wire into Supabase underneath. supabase.com Tool Supabase for AI Builders Supabase
  3. The vendor's own comparison, useful for understanding the SQL-vs-NoSQL fork. supabase.com Guide Supabase vs Firebase Supabase
  4. A neutral database company's take, including Firebase's new Postgres answer, Data Connect. bytebase.com Article Supabase vs Firebase: a Complete Comparison Bytebase
  5. The developer-community verdict: Firebase feels like magic until it doesn't, Supabase pays off. dev.to Article Firebase vs Supabase in 2025: which one actually scales with you? Dev Tips (DEV Community)
  6. Explains why Supabase became the default backend of the AI-builder boom. medium.com Article Inside Supabase's Breakout Growth: Powering AI and Vibe Coding Aaron Cort (Craft Ventures)
  7. The rare pro-Supabase piece that is honest about its limits before you commit. blog.logto.io Article Why AI startups choose Supabase and where it falls short Logto
  8. Video What Makes Supabase So Cool in 2025? DIY Smart Code
  9. Video Build a Full-Stack Web App with Google AI Studio + Supabase Profit Studio
  10. Includes the CornerUp story: what hitting Airtable's automation limits actually looks like. glideapps.com Guide How to Migrate from Airtable to PostgreSQL Glide
  11. The case for staying lightweight: when a Notion database is genuinely enough. notion.com Guide How tech startups build their company operating systems in Notion Notion
  12. Open-source and self-hostable, the escape hatch if vendor pricing ever bites. github.com Tool grist-core: the evolution of spreadsheets Grist Labs
  13. Concrete migration triggers: slowness, integrity errors, and manual export rituals. kreante.co Article Airtable as Database vs Supabase: When to Migrate Kreante
  14. A purpose-built tool for the day you outgrow Airtable and want your data in Postgres. atmigrator.com Tool AT Migrator: Airtable to PostgreSQL migration tool AT Migrator
  15. A step-by-step of the most common graduation path in the AI-builder era. closefuture.io Article Why Your Startup Should Move from Airtable to Supabase CloseFuture
  16. A hands-on walkthrough of training Vanna on your own schema. medium.com Article Text-to-SQL Just Got Easier: Meet Vanna AI Tituslhy (MITB For All)
  17. Built for exactly this user: the CEO or support lead who needs answers without a BI seat. askyourdatabase.com Tool AskYourDatabase: AI data analyst and SQL chatbot AskYourDatabase
  18. Configurable read/write access so your AI can query the database without being able to wreck it. github.com Tool postgres-mcp: Postgres MCP Pro Crystal DBA
  19. The shortest path from zero to chatting with your production database. datamcp.app Guide Claude Desktop + PostgreSQL: MCP Setup in 60 Seconds DataMCP
  20. For the slightly technical founder who wants to understand what the connector actually does. dev.to Guide Build an MCP Server for PostgreSQL: Query Your Database with Claude Sergio Colque Ponce (DEV)
  21. Self-serve BI with Metabot AI: teammates ask questions, it writes and explains the SQL. metabase.com Tool Metabase: open source analytics that answers back Metabase
  22. Context on the fast-growing category of upload-and-ask AI data analysts. techcrunch.com Article AI data analyst startup Julius nabs $10M seed round TechCrunch
  23. Honest about the failure mode founders must know: no semantic layer means inconsistent metric definitions. upsolve.ai Article In-Depth Julius AI Review: 100+ User Experiences Analyzed Upsolve
  24. Video Use AI to chat with a relational SQL database with natural language The Code Wolf

Show the next 24

Playbooks

A goal, and the route through it a step at a time.

Start using AI well Pick an assistant, learn with it, hand it real work, and keep yourself and your data safe. 5 steps Build your product with AI From a prompt to a shipped product: prototype, build, and wire AI into what you ship. 6 steps Code and ship with AI Write, ship, and maintain real software as a founder, with AI as your pair. 4 steps Design and prototype with AI Go from idea to a clickable prototype without a designer. 3 steps Build AI agents and automations Wire up agents and internal tools that do real work for you. 3 steps Put AI inside your product Ship AI features users actually feel, not a bolted-on chatbot. 3 steps Research your market with AI Size the market, study competitors, and read data in hours, not weeks. 3 steps Market and grow with AI Content, creative, and distribution: fill the top of the funnel without a big team. 5 steps Create content with AI Write, film, and design a content engine that runs without a team. 3 steps Get found in AI search Show up when founders and buyers ask AI, not just Google (AEO/GEO). 3 steps Run ads with AI Brief creatives, read the numbers, and optimize spend with AI. 3 steps Find and serve customers with AI Research the market, prospect, close, and support, with AI doing the heavy lifting. 4 steps Sell and prospect with AI Find leads, personalize outreach, and run better sales calls. 3 steps Support customers with AI Answer faster and deflect tickets without losing the human touch. 3 steps Run the back office with AI The unglamorous grind: workflows, finance, legal, and hiring, automated where it counts. 5 steps Automate your workflows Stitch your tools together so the busywork runs itself. 3 steps Hire and manage your team with AI Source, screen, and onboard faster, and keep the team in sync. 3 steps Handle legal and finance with AI Draft contracts and stay on top of the numbers without a big spend. 2 steps Be more productive with AI Get more done and think sharper with AI as a daily habit. 3 steps Become an AI-native founder The meta-skills: build your stack, prompt well, and use AI to research, think, and decide. 6 steps Build your AI stack Pick the tools worth paying for and the prompts worth reusing. 3 steps

The questions, by topic

Building & Product

Research & Knowledge

Marketing & Growth

Sales & Customers

Operations & Back-office

Strategy & The AI-Native Founder

Everyday AI

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