Fo

Founder.best – A place for founders to keep their products discoverable

Hacker News

Founder.best – A place for founders to keep their products discoverable

I built Founder.best to solve a problem I've experienced myself: You launch a product, get a burst of attention, and a few days later it's buried somewhere on the internet. Founder.best gives products a permanent public page where people can discover them after launch day. I'm experimenting with product updates, recurring discovery, and SEO-focused product pages rather than making it just another collection of links. It's still very early, so I'm mainly looking for feedback

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
72%72% 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
59%59% 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: io · Missing: https docs, excited, just released
37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: recurring · Missing: arr, mrr, revenue
19%19% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Founder.best
Founder.best46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Best Place for Founders to Launch

Indie Hackers1$20/moanalytics
Sparrow - Founder Mentorship
Sparrow - Founder Mentorship67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

1:1 mentorship from successful founders

Indie Hackerscommitment-side-project
I
I built Founder.best and its products now show up in AI recommendations45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built Founder.best and its products now show up in AI recommendations

Hacker News1
Founder Discover
Founder Discover63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Discover Founder with Products

Indie Hackers1community
AnyMake
AnyMake44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Along with the best products

Indie Hackerscommitment-side-project
Th
The best place for Wind Turbine51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The best place for Wind Turbine

Hacker News6
Fo
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
Fo
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
Fo
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
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