A
A sample section from my book Data is Beautiful
Hacker NewsA sample section from my book Data is Beautiful
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto74%74% 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 · Strong signals: io · Missing: https docs, excited, just released62%62% predicted probability of success on Hacker News, 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, podcasting48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive36%36% 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, revenue21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Data is Beautiful65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A practical book on data visualisation that shows you how to
Indie Hackers1$200/moaiWe
We made a beautiful illustrated book on Bitcoin72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We made a beautiful illustrated book on Bitcoin
Hacker News12An
An ABC Book in CSS361%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
An ABC Book in CSS3
Hacker News4I
I published a book on Django48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I published a book on Django
Hacker News4Th
The Jungle Book61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Jungle Book
Hacker News3Lo
Lovability Book61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lovability Book
Hacker News10Ja
Java 9 Modularity (O'Reilly), my book on the Java module system31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Java 9 Modularity (O'Reilly), my book on the Java module system
Hacker News1My
My first ever e-book, Hacking Obamacare65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My first ever e-book, Hacking Obamacare
Hacker News6I
I Wrote a Book on ReactiveCocoa75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I Wrote a Book on ReactiveCocoa
Hacker News1Pu
PureScript Book61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PureScript Book
Hacker News6