Vi
Visualizing the iOS App Store via D3.js
Hacker NewsVisualizing the iOS App Store via D3.js
Share cardActual performance
62points
18comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto67%67% 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, entrepreneurs62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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.
Product HuntUnlikely to reach the leaderboard · Strong signals: visual · Missing: mac, agents, macos34%34% 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, revenue31%31% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Vi
Visualizing the iOS App Store via D3.js56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Visualizing the iOS App Store via D3.js
Hacker News21My
My first iOS App on the App Store34%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 App on the App Store
Hacker News3My
My first iOS App on the App Store29%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 App on the App Store
Hacker News1Ap
AppReviewBot – Get iOS App Store Reviews in Slack33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AppReviewBot – Get iOS App Store Reviews in Slack
Hacker News1th
thinkery iOS App Now Available. From Idea To App Store.40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
thinkery iOS App Now Available. From Idea To App Store.
Hacker News3Ta
Taplytics, A/B testing on iOS without App Store updates30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Taplytics, A/B testing on iOS without App Store updates
Hacker News61Ap
AppApp.io – A better search for the iOS App Store54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AppApp.io – A better search for the iOS App Store
Hacker News8Ap
AppApp.io – A better search for the iOS App Store54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AppApp.io – A better search for the iOS App Store
Hacker News32Re
Review Mailer, track your iOS App Store reviews28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Review Mailer, track your iOS App Store reviews
Hacker News2WS
WSH LST – An iOS App Store wish list app39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WSH LST – An iOS App Store wish list app
Hacker News7