iO
Actual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Strong signals: chat · Missing: web3, crypto, cryptocurrency88%88% 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 · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs80%80% 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, macos55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: ios · Missing: supports, reddit linkedin, podcasting43%43% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue28%28% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Be
Beginner iOS in Swift31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Beginner iOS in Swift
Hacker News1Fi
Firebase Library Written in Swift52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Firebase Library Written in Swift
Hacker News1An
Announcing SquidKit – Swift code for iOS41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Announcing SquidKit – Swift code for iOS
Hacker News2If
If IPFS and Firebase Had a Lovechild58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
If IPFS and Firebase Had a Lovechild
Hacker News2Fi
Firesafe, a prophylactic for firebase44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Firesafe, a prophylactic for firebase
Hacker News2Firebase Firestorm71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
An ORM for Firestore
Indie Hackerscommitment-side-projectiO
iOS UserDefaults library for Swift 440%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
iOS UserDefaults library for Swift 4
Hacker News3Ro
Rocket Renegade, a Space Shooter for iOS in Swift45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Rocket Renegade, a Space Shooter for iOS in Swift
Hacker News5Po
Pokemon Radar and Anonymous Chat for iOS Using Firebase62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pokemon Radar and Anonymous Chat for iOS Using Firebase
Hacker News3Tr
Trailer Swift43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Trailer Swift
Hacker News32