Pr
Practicing Rails, a book about learning Rails without being overwhelmed
Hacker NewsPracticing Rails, a book about learning Rails without being overwhelmed
Share cardActual performance
14points
3comments
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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released52%52% 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, personal44%44% predicted probability of success on TrustMRR, 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.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos19%19% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
I
I wrote a book about learning ReactJS72%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 about learning ReactJS
Hacker News3I
I wrote a book about Grokking Deep Learning79%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 about Grokking Deep Learning
Hacker News5Le
Learning to Launch – Free Book52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Learning to Launch – Free Book
Hacker News6An
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 News10My
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