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 278 answered questions on putting AI to work.

The AI map: which tool is for which job, as of 29 October 2026

Models and assistants AI assistants Frontier models Open-weight models Decision models

Building with AI Coding agents App builders Design and presentations Spreadsheets, data and internal tools

Agents and research Agents that do tasks for you AI browsers No-code automation with AI steps Research and search Meeting notes and everyday productivity

Making media Video generation Images Avatars and voice Music and audio Video editing

AI at work Prospecting and sales Marketing, ads and AI search Customer support agents Legal and contracts Finance and accounting Hiring and HR

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. 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)
  2. 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)
  3. 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
  4. Includes the CornerUp story: what hitting Airtable's automation limits actually looks like. glideapps.com Guide How to Migrate from Airtable to PostgreSQL Glide
  5. 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
  6. Concrete migration triggers: slowness, integrity errors, and manual export rituals. kreante.co Article Airtable as Database vs Supabase: When to Migrate Kreante
  7. 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
  8. 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)
  9. The shortest path from zero to chatting with your production database. datamcp.app Guide Claude Desktop + PostgreSQL: MCP Setup in 60 Seconds DataMCP
  10. 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)
  11. 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
  12. 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
  13. Moda made company data queryable from Slack; the blueprint for a data-access culture. lennysnewsletter.com Article How Amplitude built an internal AI tool the whole company is obsessed with Lenny's Newsletter (Wade Chambers)
  14. For the half-technical founder: SQL clients where AI assists rather than replaces you. dbgate.io Article Top 5 SQL Editors with AI Support DbGate
  15. Why text-to-SQL goes wrong and the guardrails that keep answers trustworthy. medium.com Article Bridging Natural Language and Databases: Best Practices for LLM-Generated SQL Vi Q. Ha
  16. The most credible security team in cloud lays out exactly which misconfigurations recur. wiz.io Article Wiz Research Finds Risks in 20% of Vibe-Coded Apps Wiz Research
  17. 5,600 apps scanned, 2,000+ vulnerabilities and 400+ exposed secrets; the scale of the problem in numbers. escape.tech Article Methodology: 2k+ Vulnerabilities in Vibe-Coded Apps Escape
  18. The single most actionable checklist: proxy API calls, store secrets in edge functions, lock down RLS. vietanh.dev Guide Securing Vibe-Coded Apps: A Practical Guide to Not Getting Hacked Viet Anh
  19. The platform's own hardening guidance, worth reading because its defaults caused the incidents. lovable.dev Guide Lovable: Secure Vibe Coding Lovable
  20. The mainstream report on 380,000 scanned apps with 5,000 leaking sensitive data. axios.com Article Thousands of AI-built apps exposed sensitive corporate and personal data Axios
  21. A clear technical autopsy of the anon-key-plus-no-RLS pattern behind the leaks. superblocks.com Article Lovable Vulnerability Explained: How 170+ Apps Were Exposed Superblocks
  22. The canonical doc for the one feature that would have prevented most vibe-coding breaches. supabase.com Guide Row Level Security Supabase
  23. Once basics work, these are the multi-tenant patterns that keep working at scale. makerkit.dev Guide Supabase RLS Best Practices: Production Patterns Makerkit
  24. 93% of tech leaders worry about vibe-coded tools in production; useful ammunition for taking security seriously. retool.com Article The State of AI Governance in 2026 Retool

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

Vibe Coding 15 Databases & Internal Tools 11 AI Agents 15 Design & Prototyping 12 AI in Your Product 13

Research & Knowledge

Search & Research 13 Market Research 13 Data Analysis 13

Marketing & Growth

Content Creation 12 Video, Image & Audio 14 Getting Found in AI Search (AEO/GEO) 12 Ads & Performance Marketing 14 Social & Community 12

Sales & Customers

Sales Prospecting 13 Customer Support 6 CRM & Sales Calls 12

Operations & Back-office

Legal & Contracts 13 Finance & Accounting 3 Hiring & HR 3 Productivity 3 Workflows & Automation 3

Strategy & The AI-Native Founder

Fundraising 6 Prompting 3 Building Your AI Stack 3 AI as a Thinking Partner 4

Everyday AI

Choosing Your AI Assistant 8 Learning with AI 7 Working with AI Agents 7 Using AI Safely 8 AI in Indian Languages 7
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