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.

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 academic gold standard, useful for making your AI-assisted analysis defensible. atlasti.com Guide Thematic Analysis in Surveys: Guide & Examples ATLAS.ti
  2. YC's canonical answer to which numbers matter and how to use them in decisions. ycombinator.com Guide Key Startup Metrics (YC Startup Library) Y Combinator (Tom Blomfield)
  3. The short written version to revisit each planning cycle. ycombinator.com Guide How to choose a metric and set your KPI Y Combinator
  4. Fresh retention benchmarks including the AI-era 'smiling curve' phenomenon. a16z.com Article Retention Is All You Need Andreessen Horowitz
  5. Still the best cohort-analysis explainer written for first-time SaaS founders. medium.com Guide The P9 Guide to Cohort Analysis in SaaS Christoph Janz (Point Nine)
  6. Shows AI building your cohort table when spreadsheets intimidate you. saas.wtf Article SaaS Cohort Analysis using AI SaaS.wtf
  7. A worked churn analysis with ChatGPT you can replicate on your own export. saas.wtf Article Churn Analysis using ChatGPT SaaS.wtf
  8. Warns how AI-driven signup waves distort early retention data. userpilot.com Article Cohort Retention Analysis: How to Separate Real Users From AI Tourists Userpilot
  9. An India-based product studio's metric list mapped to SaaS vs e-commerce. f22labs.com Article 15 Essential Startup Growth Metrics & KPIs to Track F22 Labs
  10. Jargon-free cohort mechanics aimed at founders, not analysts. blog.mean.ceo Guide Cohort Analysis for Retention: A Founder's Guide MEAN CEO
  11. Argues for fewer numbers, better defined, matched to your stage. blog.mean.ceo Guide Analytics Stack for Different Startup Stages: Pre-Seed to Series MEAN CEO
  12. The payments provider's clean explainer, handy since your revenue data lives there. stripe.com Guide SaaS Cohort Analysis: A Guide for Businesses Stripe
  13. Turns cohort tables into concrete churn-reduction actions. baremetrics.com Article How to Cut Churn Using Cohort Analysis (No Jargon) Baremetrics
  14. A practitioner's guide to letting AI agents monitor your metrics for you. adasight.com Article Amplitude AI Agents: Smarter Product Decisions Adasight
  15. What to measure and build at each stage so you never over-invest early. definite.app Guide Data Analytics for Startups: A Stage-by-Stage Framework Definite
  16. How to set up metrics infrastructure that AI tools can actually reason over. tasman.ai Guide The Founder's Guide to an AI-Native Data Stack in 2025 Tasman Analytics
  17. OpenAI's own recipe, including keeping the original file untouched while writing a cleaned copy. learn.chatgpt.com Guide Clean and prepare messy data (official use case) OpenAI
  18. A structured course if data cleanup is a recurring part of your week. datacamp.com Course Cleaning Data with Generative AI DataCamp
  19. Covers formats, missing values, and outliers across ChatGPT, Claude, and Gemini. analyticsvidhya.com Article How to Use AI for Data Cleaning Analytics Vidhya
  20. A data journalist's controlled experiment showing exactly where AI cleaning fails. robertorocha.info Article Using ChatGPT to clean data: an experiment Roberto Rocha
  21. The foundational prompt patterns for inconsistencies, capitalization, and spacing. packtpub.com Guide Data Cleaning Made Easy with ChatGPT Packt
  22. Compact reference of cleansing prompts you can keep beside your keyboard. docs.kanaries.net Guide Streamline Data Cleansing with ChatGPT Kanaries
  23. A tool survey for when one-off prompting stops scaling. numerous.ai Article 7+ Must-Have AI Tools for Data Cleaning in Spreadsheets Numerous.ai
  24. Goes beyond cleaning into enrichment: filling gaps with AI-sourced context. peakdigitalstudio.com Article How To Clean Data and Enhance It With AI Peak Digital

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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