Actual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto80%80% 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, personal65%65% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released39%39% 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, intuitive35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting29%29% 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
Mu
Music Genre Classification App in Django35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Music Genre Classification App in Django
Hacker News54Ha
Handpicked Underground Electronic Music App38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Handpicked Underground Electronic Music App
Hacker News1acme sportest27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
music remixin app
Indie Hackerscommitment-side-projectAcme Sprockets29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Music Remixing app
Indie HackersCrush49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Music app for superfans
Indie Hackerscommitment-full-timeLouder.me60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Music App
Indie Hackers2b2cOneway29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Music app
Indie HackersRCADE46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Music Mashup App
Indie Hackers1entertainmentex
extremr: what's the loudest, most danceable, most energetic music?53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
extremr: what's the loudest, most danceable, most energetic music?
Hacker News2Mu
Music for Geeks and Nerds47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Music for Geeks and Nerds
Hacker News221