Be Found Everywhere
Indie Hackersrack LLM Rankings, Create Content, and Build Links in one pl
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · 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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal63%63% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto51%51% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive49%49% 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 released47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.
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.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Biddo28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Where rankings become competition.
Indie Hackers1advertisingPlagiaShield55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hunt Content Theft At Scale. Get Your Rankings Back.
Indie Hackers3b2bTo
TouristGopher Combines Bayesian Rankings from Google Yelp and FourSquare40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TouristGopher Combines Bayesian Rankings from Google Yelp and FourSquare
Hacker News21Su
Sunlight, use an LLM to debias your content41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sunlight, use an LLM to debias your content
Hacker News5Al
Allege – create short links to paragraphs and content for sharing39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Allege – create short links to paragraphs and content for sharing
Hacker News8Un
Unzeef my links47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Unzeef my links
Hacker News1Bi
Bitly is expensive so I made a tutorial on shortening links with Mnesia37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Bitly is expensive so I made a tutorial on shortening links with Mnesia
Hacker News3Li
Linkbin, the Pastebin for Links33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Linkbin, the Pastebin for Links
Hacker News3Sq
Squaresend - Less annoying mailto links49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Squaresend - Less annoying mailto links
Hacker News95Mo
Most mentioned links on HN62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Most mentioned links on HN
Hacker News3