Co-founder Fit – find your ideal co-founder

Hacker News

I was playing around with Custom GPTs and made one that helps you find fit with an ideal co-founder. It asks you 10 questions compiled by Y Combinator and then evaluates your compatibility with other potential co-founders. Best part? It has long-term memory, so you can answer questions once and then check your compatibility with others multiple times, anytime. I know it was more of a 'nerdy' part rather than 'best'. Anyway, check it out and let me know what you think! Inspired by the Co-founder Matching platform by Catheryn Li and the team.

Visit product View on Hacker NewsDec 5, 2023

Share card

Actual performance

4points

1comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, io · Missing: https docs, excited, just released

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

IndieMerger44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find your ideal co-founder in days

Product Hunt+420Hiring

Coco64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find Founder Market Fit

Indie Hackers1ai

Founder's Mastermind Segmented by MRR59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Founder's Mastermind Segmented by MRR

Hacker News3

Foudners – Co-Founder Programme59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Foudners – Co-Founder Programme

Hacker News2

Founder Pen Pals60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Founder Pen Pals

Hacker News8

We interviewed Rand Fishkin, CEO and Co-founder of SEOmoz63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We interviewed Rand Fishkin, CEO and Co-founder of SEOmoz

Hacker News1

Derbixo42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Smart, Fast, Founder-Fit Hiring.

Indie Hackerscommitment-full-time

Derbixo42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Smart, Fast, Founder-Fit Hiring.

Indie Hackers1ai

How to find a co-founder you like63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

How to find a co-founder you like

Hacker News1

My Experience as a Founder49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My Experience as a Founder

Hacker News3

Browse all products Analyze your launch