Ku
Kullish – Bring your own links (BYOL) comment aggregation
Hacker NewsKullish – Bring your own links (BYOL) comment aggregation
Share cardActual performance
7points
1comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto47%47% 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 HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos46%46% 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, 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, intuitive40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released35%35% 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, podcasting24%24% 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, revenue15%15% predicted probability of success on Acquire.com, 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 News1Voize24%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 News2Ape Chirp16%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Share links, vote, comment... no algorithms in the feed!
Indie Hackers1social-mediaHN
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 News2Ju
JustComments – a comment system for websites47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
JustComments – a comment system for websites
Hacker News10