Actual performance
103upvotes
21comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: computer · Missing: mac, agents, macos84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto58%58% 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, personal40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive27%27% 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, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Vi
Videogames with computer vision and bottle caps68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Videogames with computer vision and bottle caps
Hacker News2Sp
Spyglass, computer vision made simple in Ruby62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Spyglass, computer vision made simple in Ruby
Hacker News6NeuCore59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Build Computer Vision Models in Minutes
Indie Hackers3$2,000/moaiDa
Datalake for Computer Vision Projects68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Datalake for Computer Vision Projects
Hacker News3Ri
Rickblocker, a computer vision approach to end rickrolling74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Rickblocker, a computer vision approach to end rickrolling
Hacker News14Do
Don't be drowsy Computer Vision and Twilio68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Don't be drowsy Computer Vision and Twilio
Hacker News1CN
CNN vs. Transformers in Computer Vision62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
CNN vs. Transformers in Computer Vision
Hacker News1Bu
Build circuit boards faster with computer vision61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Build circuit boards faster with computer vision
Hacker News124Ch
ChessBoss – enhancing physical chessboards with computer vision65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ChessBoss – enhancing physical chessboards with computer vision
Hacker News83(T
(Test-)Automation with Computer Vision55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
(Test-)Automation with Computer Vision
Hacker News1