Actual performance
36reviews
Did not reach leaderboard
Traction signals
Rating4.7 / 5
Purchases1,305
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user, code · Missing: mac, agents, macos89%89% 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 released56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting37%37% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto28%28% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
7G
7GUIs in Web Components57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
7GUIs in Web Components
Hacker News37G
7GUIs in Web Components57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
7GUIs in Web Components
Hacker News2I
I made helpers for Web Components57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made helpers for Web Components
Hacker News49appboa26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Functional web components.
Indie Hackerscommitment-full-timeEx
Experience Colorblindness on the Web49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Experience Colorblindness on the Web
Hacker News92Us
User Experience Design Fundamentals41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
User Experience Design Fundamentals
Hacker News2Sashy39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Improve Your Customer Experience
Indie Hackers1aiTw
Twitter user and status Web Components55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Twitter user and status Web Components
Hacker News2Lo
Lookback - user experience collecting for iOS37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lookback - user experience collecting for iOS
Hacker News5Mo
Monitoring the user experience of an individual user42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Monitoring the user experience of an individual user
Hacker News1