Actual performance
120upvotes
16comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos56%56% 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 released47%47% 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, podcasting46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto22%22% predicted probability of success on BetaList, 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.
Correct prediction on native model
Similar products
An
Annex – What are you doing?56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Annex – What are you doing?
Hacker News10Pi
Pinggy – What are you doing?61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pinggy – What are you doing?
Hacker News2Ei
Einstein's Special Relativity – Time Dilation48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Einstein's Special Relativity – Time Dilation
Hacker News6Su
Superboost – Love Hacking for OkCupid59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Superboost – Love Hacking for OkCupid
Hacker News9I
I love it Vapor-ware at its finest47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I love it Vapor-ware at its finest
Hacker News2Ha
Hall of Fame – Show some love to your contributors45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hall of Fame – Show some love to your contributors
Hacker News5Wh
Why We Love Giveaway (And You Should, Too)39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Why We Love Giveaway (And You Should, Too)
Hacker News1We
We Love Golang33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We Love Golang
Hacker News19Houseplant Love45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
For the love of houseplants
Indie Hackerscommitment-side-projectMe
Meet Dockship37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Meet Dockship
Hacker News52