From idea to evidence.
From evidence to action.
An AI co-founder that remembers your venture, researches the live market, challenges weak assumptions, and moves you toward customers—not more documents.
Good morning, Maya.
Your next decision, grounded in evidence.
The signal is real. The buyer is still too broad.
Three interviews confirm reporting takes 6+ hours weekly, but only one came from your target segment. Before changing the product, narrow the test.
Next action
Book 3 calls with operations leads at 20–50 person agencies.
12
claims
7
interviews
3
buyers
Built around enduring founder playbooks—not vague AI motivation
Y Combinator
Talk to users · make something people want
Sequoia Capital
Problem · why now · market · competition
Hub71
MENA-ready venture and pitch frameworks
Paul Graham
Do things that don't scale
FounderKit is independently built. It uses public frameworks as guidance; it is not affiliated with or trained by these organizations.
One focused system
Stop collecting tools.
Start collecting proof.
Generic chat loses the thread. Templates create busywork. FounderKit connects the whole validation loop so each conversation improves the next decision.
Think with a persistent mentor
It reads your venture, customer notes, pipeline, offer, and evidence before answering—then gives you one concrete next move.
Research the live market
Search real competitors and pricing pages. Every market claim returns with a source you can open and verify.
Turn conversations into proof
Track prospects, capture interviews, and convert what customers actually said into confidence-scored evidence.
Build the story evidence earned
Generate a stage-aware YC, Sequoia, or Hub71 deck. Missing proof stays visible instead of being filled with fiction.
The evidence loop
Clarity compounds
when the work connects.
Your mentor sees the state of the business, not just the last message. Advice changes as evidence, customers, and momentum change.
Describe the idea
Answer focused questions. FounderKit shapes your one-liner, ICP, painful problem, outcome, and offer.
Run the evidence loop
Research the market, interview prospects, publish a waitlist, and keep every signal in one workspace.
Make the next decision
See what is known, what is assumed, and the single highest-leverage action to take today.
Make progress visible
Your idea does not need more hype.
It needs its next proof.
Start with the messy version. Your AI mentor will ask what matters, organize the evidence, and tell you what to do next.
Straight answers
Before you start.
How do I validate a startup idea before building it?
Talk to people in the segment you think has the problem, record what they actually said rather than what you hoped, and check whether the pain recurs and whether anyone already pays to solve it. FounderKit structures this as an evidence vault: every claim in your pitch has to point at an interview, a source or a signup, and your confidence score reflects how much of it is backed.
Why not just use ChatGPT to write my pitch deck?
A general assistant agrees with you and forgets the conversation. It will also invent competitors and market figures that sound plausible. FounderKit remembers your venture between sessions, runs real web searches and page scrapes so competitor analysis cites actual sources, and is instructed never to fabricate traction, competitors or team members — where a fact is missing, it says so.
What should a pre-seed pitch deck contain?
At pre-seed there is no traction to show, so the deck sells the insight and founder-market fit: the problem shown through a specific real example, why now, bottom-up market sizing, and evidence you have gathered. FounderKit builds decks to the Sequoia (10 slides), Y Combinator (10 slides, 30 words each) or Hub71 (15 slides, MENA) frameworks, gated by stage.
How do I get my first 10 customers?
Narrow to one reachable segment, find where they already gather, and make a specific offer rather than a general one. FounderKit generates a client-finding roadmap grounded in live research about where your buyers actually are, and gives you a hosted waitlist page to collect and qualify them.
How much does FounderKit cost?
Free forever for one venture, including the AI mentor and a hosted waitlist page. Pro is $49 a month or $490 a year and adds live market research, all deck frameworks and unwatermarked export. Scale is $99 a month for unlimited ventures and the investor tracker. Cancel in one click; full refund within 14 days of a first payment.