Ap
App review times, updated live from real data
Hacker NewsApp review times, updated live from real data
Share cardActual performance
8points
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto49%49% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released32%32% 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, podcasting30%30% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
A)
A)I updated my vimrc49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A)I updated my vimrc
Hacker News5Up
Updated Angular-ChartJS to supported re-sizing.37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Updated Angular-ChartJS to supported re-sizing.
Hacker News2Welfact44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Donating, Updated.
Indie Hackers1b2cFi
Find PRs updated after the review23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find PRs updated after the review
Hacker News1Th
The Probability Times39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Probability Times
Hacker News20Ho
How many more times will you see your mother?40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
How many more times will you see your mother?
Hacker News1AP
API wrapper for NY Times Covid-19 data38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
API wrapper for NY Times Covid-19 data
Hacker News2TimeCheck22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find times when everyone is free
Indie Hackers1b2bAp
App in Review49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
App in Review
Hacker News17We
We've updated our App49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We've updated our App
Hacker News3