Actual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto82%82% 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal42%42% 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 released33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting27%27% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos19%19% 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, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
TurboPush41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Digital Loyalty Cards
Indie Hackerscommitment-full-timeUpCard61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Digital Loyalty Cards
Indie Hackers1analytics
VEXiON cards21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Digital loyalty cards for boosting customer engagement
Product Hunt+10
Stamply40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Loyalty cards on your phone
Product Hunt+91Android
Boomerangme51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Launch your loyalty program with digital loyalty cards and a built-in CRM
AppSumo80FaveCard46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Digital loyalty cards for Apple & Google Wallet
Indie Hackerscommitment-full-timeStampz49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Digital loyalty cards for Apple & Google Wallet
Indie HackersDigital Loyalty Card61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Costumer Loyalty app
Indie Hackerscommitment-full-timeRe
Rewardist – Digital loyalty cards for coffee shops52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Rewardist – Digital loyalty cards for coffee shops
Hacker News3Textn (formerly FxbulkSMS)55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Digitizing Loyalty
Indie Hackers1$100/moadvertising