Actual performance
114upvotes
19comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: coding, code · Missing: mac, agents, macos76%76% predicted probability of success on Product Hunt, 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, crypto66%66% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released51%51% 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, podcasting28%28% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal21%21% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Yo
YouTube e-sampler for producers47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
YouTube e-sampler for producers
Hacker News2Yo
YouTube to iTunes45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
YouTube to iTunes
Hacker News1SE
SEWY: YouTube roulette with Pusher47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SEWY: YouTube roulette with Pusher
Hacker News120
2005 YouTube Modernized47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
2005 YouTube Modernized
Hacker News2Sa
Sample from YouTube38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sample from YouTube
Hacker News1Ga
Gamifying YouTube47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Gamifying YouTube
Hacker News1my
my gamification of YouTube48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
my gamification of YouTube
Hacker News4My
My Youtube Zapping experiment42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My Youtube Zapping experiment
Hacker News1Ju
JukeTube – YouTube in Polymer47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
JukeTube – YouTube in Polymer
Hacker News2Yo
YouTube Filesystem – YTFS76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
YouTube Filesystem – YTFS
Hacker News185