Ru
Running UglifyJS 2.5 times faster (GitHub.com)
Hacker NewsRunning UglifyJS 2.5 times faster (GitHub.com)
Share cardActual performance
9points
6comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting38%38% 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.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto12%12% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Pr
Proof of concept: Running UglifyJS 2.5 times faster43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Proof of concept: Running UglifyJS 2.5 times faster
Hacker News6Pe
Persistence of sklearn models, tens of times faster, smaller51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Persistence of sklearn models, tens of times faster, smaller
Hacker News3Th
The Probability Times39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Probability Times
Hacker News20Ho
How many more times will you see your mother?40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
How many more times will you see your mother?
Hacker News1Ca
Carefulwords.com, a more inspiring (and faster) thesaurus55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Carefulwords.com, a more inspiring (and faster) thesaurus
Hacker News2Op
Optimizing page load times for SPA running on widlfy50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Optimizing page load times for SPA running on widlfy
Hacker News8TimeCheck22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find times when everyone is free
Indie Hackers1b2bJe
Jekyll with Bootstrap running on a terminal.com container53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Jekyll with Bootstrap running on a terminal.com container
Hacker News1DnDSoundboard.com62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The only soundboard you need for your running your DnD Sessi
Indie Hackerscommitment-side-projectBroadBoard Times Square 🗽🌟46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get your product launch featured in Times Square 🗽🌟
Indie Hackers1advertising