Pe

Personalised book recommendations powered by AI

Hacker News

Personalised book recommendations powered by AI

Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
73%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 NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
48%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.
TrustMRRLess likely to generate early MRR · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs
34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
33%33% 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, intuitive
26%26% 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, revenue
21%21% 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, podcasting
20%20% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Ex
Exhaustive Book recommendations from pmarca54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Exhaustive Book recommendations from pmarca

Hacker News1
Wh
What to read after? Personalised AI book recommendations49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

What to read after? Personalised AI book recommendations

Hacker News31
I
I made a book recommendations app47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a book recommendations app

Hacker News2
Re
Reddit powered book recommendations66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Reddit powered book recommendations

Hacker News1
Pe
Personalized book recommendations with Librarian AI41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Personalized book recommendations with Librarian AI

Hacker News150
Bo
Book Recommendations by Digital Nomads48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Book Recommendations by Digital Nomads

Hacker News2
BookPlotter
BookPlotter73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI-Powered Book Summaries & Recommendations

Indie Hackers1$12/moai
Lorekeep
Lorekeep42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Personalized book recommendations

Product Hunt+1
As
Ask anyone for book recommendations or give one57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ask anyone for book recommendations or give one

Hacker News3
Ev
Every Ask HN about book recommendations56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Every Ask HN about book recommendations

Hacker News4