Actual performance
122upvotes
24comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto74%74% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting33%33% 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, revenue24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive13%13% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Incorrect 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 News2Fi
Find people researching areas similar to you (HuggingFace)51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find people researching areas similar to you (HuggingFace)
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