Ju
JustComments – a comment system for websites
Hacker NewsJustComments – a comment system for websites
Share cardActual performance
10points
18comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto57%57% 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.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released47%47% 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, personal43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
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, revenue18%18% 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, podcasting16%16% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Incorrect 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 News1Be
BeBlob – A Gitlab-Powered Comment Section for Static Websites55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
BeBlob – A Gitlab-Powered Comment Section for Static Websites
Hacker News4Welcomments14%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A better comment system for static websites.
Indie Hackers5b2bVoize24%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 Hackers1communicationSe
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 News1Ne
New Comment Marker33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
New Comment Marker
Hacker News2HN
HN Comment Thread Analysis51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
HN Comment Thread Analysis
Hacker News1Bu
Building an R/AskHistorians Comment Moderator47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Building an R/AskHistorians Comment Moderator
Hacker News2