Us
User return analysis in Stackoverflow, Insta, H&M
Hacker NewsUser return analysis in Stackoverflow, Insta, H&M
Share cardActual performance
4points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos66%66% 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.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto60%60% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting31%31% 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, intuitive26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Ba
Bayesian analysis of 703,139 user events (0.037 seconds)50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Bayesian analysis of 703,139 user events (0.037 seconds)
Hacker News1Be
Be My First User27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Be My First User
Hacker News3Mo
Moshimoshi, Gravatar for user bios51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Moshimoshi, Gravatar for user bios
Hacker News2Se
Sentiment Analysis with TextBlob47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sentiment Analysis with TextBlob
Hacker News2Co
Commonsense – specification for resisting authorship analysis50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Commonsense – specification for resisting authorship analysis
Hacker News1An
An Analysis of Securitization37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
An Analysis of Securitization
Hacker News2Se
Sensitivity Analysis37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sensitivity Analysis
Hacker News15De
Detecting and Patching Spectre Vulnerabilities via Taint Analysis53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Detecting and Patching Spectre Vulnerabilities via Taint Analysis
Hacker News2Ex
Exploratory Analysis with the 2020 American National Election Studies21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Exploratory Analysis with the 2020 American National Election Studies
Hacker News1An
An Airline Sentiment Analysis47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
An Airline Sentiment Analysis
Hacker News4