PL
PLEENQ – Give context to images (using Reddit as an example)
Hacker NewsPLEENQ – Give context to images (using Reddit as an example)
Share cardActual performance
6points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: context, using · Missing: mac, agents, macos87%87% 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.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto53%53% predicted probability of success on BetaList, based on ML models trained on real launch data.
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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting27%27% 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, revenue17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Ge
Get Motivated – Crowdsourced Motivational Images from Reddit42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get Motivated – Crowdsourced Motivational Images from Reddit
Hacker News1De
Detecting Puerto Rican Bird Species from Images Using PyTorch41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Detecting Puerto Rican Bird Species from Images Using PyTorch
Hacker News3My
My attempt at a decentralised Reddit60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My attempt at a decentralised Reddit
Hacker News2Re
Reddit Imgur Uploader69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Reddit Imgur Uploader
Hacker News2Re
Reddit 1.056%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Reddit 1.0
Hacker News4Af
Afroic – The African Reddit63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Afroic – The African Reddit
Hacker News3Du
Dumppit – A Reddit Firehose63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Dumppit – A Reddit Firehose
Hacker News1Re
Reddit Firehose74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Reddit Firehose
Hacker News23Bl
Bleuit – A Recursive Reddit61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Bleuit – A Recursive Reddit
Hacker News9Ro
Rockets – Reddit and websockets61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Rockets – Reddit and websockets
Hacker News98