Pa
Painless CSS: Learn CSS from First Principles
Hacker NewsPainless CSS: Learn CSS from First Principles
Share cardActual performance
36points
5comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto73%73% 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 NewsStrong engagement from HN community · Missing: https docs, excited, just released67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal45%45% 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, podcasting26%26% 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, intuitive24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos22%22% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Le
Learn CSS from First Principles65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Learn CSS from First Principles
Hacker News4Co
Codedraft – learn CSS at your own pace64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Codedraft – learn CSS at your own pace
Hacker News4cs
css-sempai66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
css-sempai
Hacker News3CS
CSS Prettifier and Minifier71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
CSS Prettifier and Minifier
Hacker News1CS
CSS Penrose Triangle (Impossible Triangle)59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
CSS Penrose Triangle (Impossible Triangle)
Hacker News1CS
CSS with no px units60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
CSS with no px units
Hacker News8Fi
FizzBuzz in CSS66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
FizzBuzz in CSS
Hacker News1At
AtoZ CSS47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AtoZ CSS
Hacker News8No
Normalize-OpenType.css66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Normalize-OpenType.css
Hacker News1CS
CSS Analyser66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
CSS Analyser
Hacker News1