Actual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto82%82% 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.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive40%40% 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, personal39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting18%18% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Po
Poolside FM42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Poolside FM
Hacker News3Tu
TuneUP.fm42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TuneUP.fm
Hacker News1Sy
Synth.fm42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Synth.fm
Hacker News17La
Last.fm API for Emacs Lisp67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Last.fm API for Emacs Lisp
Hacker News1bijou.fm21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Last.fm and Spotify statistics tool
Indie Hackers1dataVi
Vinylogue for Last.fm (iOS)37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Vinylogue for Last.fm (iOS)
Hacker News1A
A YouTube and Last.fm mashup43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A YouTube and Last.fm mashup
Hacker News5JQ
JQuery Cards50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
JQuery Cards
Hacker News13St
Stable Diffusion Pokémon Cards58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Stable Diffusion Pokémon Cards
Hacker News3E-
E-cards51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
E-cards
Hacker News2