Re
Retained - Find out why customers are leaving your app.
Hacker NewsRetained - Find out why customers are leaving your app.
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto74%74% 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.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue41%41% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · 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.
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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Of
Offramp – Find out why your best customers are leaving43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Offramp – Find out why your best customers are leaving
Hacker News1In
InlineGPT – prompt without leaving your app28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
InlineGPT – prompt without leaving your app
Hacker News1
btw
Delight your customers
BetaListId
Identifying, Segmenting and Contacting our Customers51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Identifying, Segmenting and Contacting our Customers
Hacker News11Le
Leaving jQuery behind with Backbone.Native40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Leaving jQuery behind with Backbone.Native
Hacker News13Ou
Our first three featured customers57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Our first three featured customers
Hacker News3ChurnSense14%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Know who's leaving before they do.
Indie Hackerscommitment-full-timeMT
MTLS with keys never leaving the TPM47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MTLS with keys never leaving the TPM
Hacker News5Da
Daze – Online returns without leaving home35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Daze – Online returns without leaving home
Hacker News1Ca
Call Them Back Why People Are Leaving Your Website47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Call Them Back Why People Are Leaving Your Website
Hacker News1