Fi
Find people researching areas similar to you (HuggingFace)
Hacker NewsFind people researching areas similar to you (HuggingFace)
Recently I've been going deep into speech to speech / duplex voice models and wanted to find peers to bounce ideas off of. I built a website that allows you to find researchers close to your hugging face like vectors so you can find researchers to follow/collaborate with
Share cardActual performance
2points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: model, models · Missing: mac, agents, macos87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released49%49% 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 · Missing: mobile apps, ios, personal43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: collaborate · Missing: web3, chat, crypto2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
In
Intents – Get linked with people that see what you see51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Intents – Get linked with people that see what you see
Hacker News2Fa
Famous people who have died by overdose58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Famous people who have died by overdose
Hacker News1St
StreetPass – Find your people on Mastodon55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
StreetPass – Find your people on Mastodon
Hacker News1Wh
What if 1k people drew together?58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
What if 1k people drew together?
Hacker News2Tw
Tweetpleth - Where are people tweeting?58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tweetpleth - Where are people tweeting?
Hacker News1DBCULT - Cult Cinema39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
For people obsessed with cult cinema.
Indie Hackers1aieasyLife32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
By the People, For the People
Indie Hackerscommitment-side-projectSynchrony31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find your people with Synchrony.
Indie Hackersplatform-android
My Rasoi42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Made for the people who serve people.
Product Hunt+6
PressHop32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
News by the people, for the people
Product Hunt+7