Su
Susan Kare explains Macintosh UI ergonomics (1984)
Hacker NewsSusan Kare explains Macintosh UI ergonomics (1984)
Share cardActual performance
6points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto82%82% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: mac, plain · Missing: agents, macos, agent47%47% predicted probability of success on Product Hunt, 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, intuitive41%41% 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, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting14%14% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
De
Denigma – AI that explains code33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Denigma – AI that explains code
Hacker News3A
A CSP header scanner that explains what's unsafe44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A CSP header scanner that explains what's unsafe
Hacker News2I
I built a website that explains any difficult concept in seconds52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I built a website that explains any difficult concept in seconds
Hacker News4Co
Coffeescript UI (CUI)59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Coffeescript UI (CUI)
Hacker News1Gl
Glassmorphism UI59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Glassmorphism UI
Hacker News4UI
UI for Apache Kafka59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
UI for Apache Kafka
Hacker News158Se
Semafor UI for HN62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Semafor UI for HN
Hacker News2FF
FFmpeg UI55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
FFmpeg UI
Hacker News40an
angular-jquery-ui-accordion45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
angular-jquery-ui-accordion
Hacker News2UI
UI improvements for Jenkins58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
UI improvements for Jenkins
Hacker News92