re
redditgraphs, visualize your comment history
Hacker Newsredditgraphs, visualize your comment history
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto66%66% 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: visualize · Missing: mobile apps, ios, personal57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: visual · Missing: mac, agents, macos44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive34%34% 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, revenue26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting24%24% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Op
OpIn – Comment Anywhere33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
OpIn – Comment Anywhere
Hacker News2TL
TL;DR for every comment on HN44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TL;DR for every comment on HN
Hacker News1Re
Recommend HN comments based on your comment history59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Recommend HN comments based on your comment history
Hacker News4Voize24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Comment the Web
Indie Hackers1communicationVi
Visualise your Swiggy orders history44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Visualise your Swiggy orders history
Hacker News1A
A History of Sociobiology40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A History of Sociobiology
Hacker News2Mi
Military History Visualized38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Military History Visualized
Hacker News6HN
HN History – Your Hall of Fame46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
HN History – Your Hall of Fame
Hacker News1Se
Search HN for interesting comment sections59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Search HN for interesting comment sections
Hacker News60Co
Comment on Any Website61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Comment on Any Website
Hacker News1