Business frameworks that ship decisions.
530 frameworks. Any LLM. Web research, repo context, and memory — in your terminal.
530 expert frameworks in your terminal. Purpose-built for founders who think in first principles.
Built-in web research
Searches for market benchmarks, competitors, pricing, and trends. No setup — no extra API keys.
Reads your repo
Builds context by reading your project files. Sandboxed to the directory you run it in.
Memory across sessions
Remembers business context and preferences so advice compounds, instead of resetting every chat.
Make business
analysis self-driving
Run founder with no arguments and enter interactive mode. Ask questions, explore frameworks, and get advice — all in one session.
The agent automatically selects frameworks, searches the web for real data, reads your project files, and builds on your conversation history.
Define the
right frameworks
Target a specific category with -c strategy or a specific framework with -f blitzscaling.
Or let the agent decide. It reads your problem, selects 2-4 relevant frameworks, loads expert instructions for each, and applies them rigorously to your situation.
Move forward
with real data
The agent searches the web for competitive intelligence, market benchmarks, pricing data, and industry trends. It reads web pages to extract specific information.
Combined with reading your project files, founder builds a complete picture of your business before applying any framework.
Understand
what's happening
Full transparency on every request. See which model is running, watch each tool call in real-time with a live spinner, and get a complete usage summary when done.
Token counts, framework count, search count, files read — all displayed after every response so you know exactly what happened.
530 frameworks across 15 categories
Blitzscaling
5-stage hypergrowth from family to nation stage. Speed over efficiency in winner-take-all markets.
Sequoia Pitch Deck
The fundraising format behind Airbnb, Stripe, YouTube. Problem, solution, market, business model.
Superhuman PMF Engine
Measure product-market fit with the "very disappointed" method. Segment, analyze, build roadmap.
Product-Led Growth
Product as growth engine. Free trials, freemium, self-serve onboarding, viral loops, expansion revenue.
Cold Email Framework
Cold outbound that gets replies. Personalization, subject lines, CTAs, multi-touch sequences.
AI Go-To-Market
Launch AI products right. Avoid the wrapper trap, build moats, price on value not tokens.
See what Founder actually does. Real prompts, real output.
Finding Product-Market Fit
"I have 200 beta users for my AI math tutoring app. 30% come back weekly but nobody's paying yet."
Pre-Seed Pitch Deck
"We're raising pre-seed for our AI code review tool. $10K MRR, growing 25% MoM."
PLG for Dev Tools
"2K free users, 40 paying. Free-to-paid conversion is 2%. How do I build a real PLG motion?"
Usage-Based API Pricing
"Charging $99/mo flat fee but usage varies wildly — some process 100 docs, others 50K."
Differentiating AI Wrapper
"200 competitors doing the same thing with the same models. How do we differentiate?"
Building an AI Moat
"We built a sales email generator on GPT-4. What's our moat against OpenAI and clones?"