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.

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. Video How I Use AI & Reddit to Find $1M+ Startup Ideas (FULL Blueprint) YouTube creator (startup ideas)
  2. A tight five-step thread: collect where the market talks, use AI to find repeated pain, act on it. x.com Thread The AI version of market research as a service Corey Ganim
  3. Explains the community-signal thesis behind the most popular idea-mining product. linkedin.com Thread I'm launching ideabrowser.com (launch post) Greg Isenberg
  4. The written companion with the exact prompts and Gumloop automation steps. blog.alexanderfyoung.com Article How I use Reddit and AI to find winning startup ideas (written version) Dr Alex Young
  5. A practical low-code version using Gumloop, n8n, or Zapier to feed comments into an LLM. medium.com Article How to Use Reddit and AI to Find Startup Ideas That Actually Work Andiebuk (Medium)
  6. Converts Reddit threads, search data, and YouTube signals into scored startup ideas daily. ideabrowser.com Tool Ideabrowser Greg Isenberg
  7. The G2 mining method: tag complaints into themes, count repeats, build against the gaps. bigideasdb.com Guide How to Analyze G2 Reviews to Find Product Ideas Your Competitors Miss BigIdeasDB
  8. Turns competitor review pain into a concrete feature-gap roadmap. bigideasdb.com Guide How to Turn G2 Reviews Into SaaS Ideas (Feature-Gap Method) BigIdeasDB
  9. Pre-mined pain points from Reddit, G2, Capterra, and app stores if you want to skip the scraping. bigideasdb.com Tool BigIdeasDB: The Startup Ideas Database From 1M+ Real Complaints BigIdeasDB
  10. Explains which review source is high-signal for what: app stores for usability, G2 for B2B friction. cobbai.com Article Customer Review Mining with AI: Unlocking Insights from App Stores, Marketplaces & Forums Cobbai
  11. Tool shortlist for ingesting reviews across G2, app stores, and support channels at scale. enterpret.com Guide The 7 Best AI Tools to Analyze Customer Feedback Enterpret
  12. GummySearch's shutdown reshaped Reddit research tooling; this maps what replaced it. reddinbox.com Article GummySearch is Gone: The Best Alternatives Reddinbox
  13. A second opinion on the post-GummySearch toolscape, including pay-per-analysis options. reddily.io Article 7 Best GummySearch Alternatives (After Shutdown) Reddily
  14. A concise version of the Reddit discovery loop for quick orientation. geeky-gadgets.com Article The Secret to Finding Million-Dollar Startup Ideas on Reddit Geeky Gadgets
  15. An operator separating the Reddit-mining tactics that work from the folklore. alexberman.com Article AI Startup Ideas Reddit: What Actually Works Alex Berman
  16. Extends the mining method to X conversations using NotebookLM's grounded answers. medium.com Article Market Research with Twitter (X.com) and NotebookLM in 10 Minutes AI Rabbit (Medium)
  17. Video ChatGPT's Easy Way to Find Your Target Audience YouTube creator (marketing)
  18. Video How to create a buyer persona using ChatGPT (Secret Hack Revealed) YouTube creator (marketing)
  19. Video Analyze YouTube Audiences with ChatGPT (Tutorial) YouTube creator (audience research)
  20. A deep prompt bank covering pains, triggers, objections, and anti-personas. medium.com Article 18 ChatGPT Prompts To Understand Your Ideal Customer Profile Nizamuddin Siddiqui (Medium)
  21. Worked persona examples showing good versus generic AI output. m1-project.com Article ChatGPT Personas: Definition, Examples & How to Generate Them M1-Project
  22. Describe an audience in plain language and get its actual demographics and hangouts. sparktoro.com Article How to Find Hyper-Specific Audiences with SparkToro's New AI Features SparkToro
  23. The best pattern in this space: real audience data in, LLM synthesis out. sparktoro.com Article How to Use SparkToro + LLMs to Do Marketing Magic SparkToro
  24. Emphasises the 15 minutes of real data collection that makes AI audience research non-generic. mysocial.io Guide ChatGPT for Audience Research: Copy-Paste Prompts Mysocial

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 20 Databases & Internal Tools 11 AI Agents 15 Design & Prototyping 14 AI in Your Product 15

Research & Knowledge

Search & Research 16 Market Research 13 Data Analysis 13

Marketing & Growth

Content Creation 14 Video, Image & Audio 27 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 5 Workflows & Automation 3

Strategy & The AI-Native Founder

Fundraising 6 Prompting 4 Building Your AI Stack 5 AI as a Thinking Partner 5

Everyday AI

Choosing Your AI Assistant 15 Learning with AI 8 Working with AI Agents 8 Using AI Safely 9 AI in Indian Languages 8 Quick Fixes for Files, Photos and Video 26 AI for Your Line of Work 12
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