Ad
Added a leaderboard to my old iOS game
Hacker NewsAdded a leaderboard to my old iOS game
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
TrustMRRFits verified-revenue profile · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting52%52% 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 released40%40% 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, intuitive38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos29%29% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto26%26% 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, revenue20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
I
I built an iOS remake of that old windows game SkiFree42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I built an iOS remake of that old windows game SkiFree
Hacker News107Ho
Holst, Digitally Retouched Old Paintings38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Holst, Digitally Retouched Old Paintings
Hacker News1Ol
Old Pluto46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Old Pluto
Hacker News7Ge
Generations - How old are Millenials now?46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Generations - How old are Millenials now?
Hacker News113
13yr Old Author: Joshua Hart38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
13yr Old Author: Joshua Hart
Hacker News2Old Town Illustrated40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Illustrating historic properties in Old Town Alexandria
Indie Hackerscommitment-side-projectMy
My First iOS Game - Lumio45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My First iOS Game - Lumio
Hacker News91Sc
Scrambled – An iOS Game in HTML554%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Scrambled – An iOS Game in HTML5
Hacker News52My
My first iOS game, Hungry Henri45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My first iOS game, Hungry Henri
Hacker News30Ju
Jumpr – My first libgdx game now on IOS35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Jumpr – My first libgdx game now on IOS
Hacker News1