Li
Actual performance
3points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto59%59% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal48%48% predicted probability of success on TrustMRR, 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.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive39%39% 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, podcasting36%36% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos30%30% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ph
PhoneNumberKit – a Swift take on libphonenumber43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PhoneNumberKit – a Swift take on libphonenumber
Hacker News4Au
Autocompletion for Swift on Emacs54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Autocompletion for Swift on Emacs
Hacker News79A
A Lisp Interpreter in Swift65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Lisp Interpreter in Swift
Hacker News3At
Attributed strings in Swift 426%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Attributed strings in Swift 4
Hacker News28Tr
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 News32Po
Populating a UITableView in Swift54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Populating a UITableView in Swift
Hacker News120
2048 in Swift44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
2048 in Swift
Hacker News92Cl
Clojure-ish Lisp interpreter implemented in Swift72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Clojure-ish Lisp interpreter implemented in Swift
Hacker News2Ge
Get to grips with NSTimer in Swift43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get to grips with NSTimer in Swift
Hacker News3Sw
Swift Playgrounds on steroids43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Swift Playgrounds on steroids
Hacker News1