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. Video Use AI to chat with a SQL Database 3.0 The Code Wolf
  2. 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)
  3. 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
  4. Connects Postgres plus HubSpot, Sheets, and Shopify, matching a founder's actual scattered stack. talktoyourdata.app Tool Talk To Your Data: chat with your database and SaaS tools Talk To Your Data
  5. 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
  6. 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
  7. 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
  8. 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
  9. The platform's own hardening guidance, worth reading because its defaults caused the incidents. lovable.dev Guide Lovable: Secure Vibe Coding Lovable
  10. 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
  11. 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
  12. The canonical doc for the one feature that would have prevented most vibe-coding breaches. supabase.com Guide Row Level Security Supabase
  13. Video Implement Authorization using Row Level Security with Supabase Supabase
  14. Video Supabase Row Level Security (RLS) 101 DailyAi.Studio
  15. Video How Supabase's Row-Level Security Can Protect Your Data Mobterest Studio
  16. Video How to Set Up Row-Level Security in Supabase Help Me Solve
  17. Once basics work, these are the multi-tenant patterns that keep working at scale. makerkit.dev Guide Supabase RLS Best Practices: Production Patterns Makerkit
  18. 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
  19. A printable pre-launch checklist to run before real data enters the tool. catdoes.com Guide The Vibe Coding Security Checklist CatDoes
  20. Video n8n Quick Start Tutorial: Build Your First AI Agent n8n
  21. Video n8n: Flexible AI Workflow Automation for Technical Teams n8n
  22. Video How to Build AI Agents with n8n (Full Course) AI Foundations
  23. The self-hostable automation layer that owns the founder-automation conversation right now. n8n.io Tool n8n AI: advanced AI workflow automation n8n
  24. The founder of the tool explains where agentic automation is going next. open.spotify.com Podcast n8n CEO Jan Oberhauser on Building the Universal AI Automation Layer Training Data (Sequoia Capital)

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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