174 Interest Score
90 Discussions
0.52 Engagement
Jun 2021 Launched

Early stage investors evaluate you by deciding if you’re a good fit for the startup you’re building. They call this founder-market fit. Founderfit calculates your fit in seconds so you can see how VCs rate your experience and take the guesswork out of pitching

What the Community Said

Great way to democratise access to information at the earliest stages of a startup and allow everyone to be prepared or at least aware of their strengths and weaknesses before reaching out to investors

— [REDACTED]

The algorithms are precise and work perfectly! Great tool to identify and categorise team dynamics and compare different scenarios. It’s almost like a time-machine wherein I just know how my team might work out or how the pitching might go! What a miracle. Can’t wait to see more from you guys!

— [REDACTED]

An indispensable tool if someone wants to build their own organisation, especially if they are just starting out. It’s such an universal relief to not be anxious about the VC’s opinion about me when I can already estimate how they might perceive me! Such a life-saver

— [REDACTED]

Beautiful design and a great product! Excited to see share this with our founders.

— [REDACTED]

This is a very fascinating product. Thanks for creating this! While I have started a couple of businesses, this is the first time I have co-founded a tech startup and have considered VC funding. I wasn't able to add my entrepreneur program though, so my score probably would have ended up being a bit higher. Are you planning on adding Canadian entrepreneur programs to the list? I think for education maybe expanding it to colleges and certain programs would be beneficial - i.e. if the person atten

— [REDACTED]

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Frequently Asked Questions

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

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