Ye

Yearly Faves – track and share your favorite books and music from 2021

Hacker News

Yearly Faves – track and share your favorite books and music from 2021

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
66%66% 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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
47%47% 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 · Missing: mac, agents, macos
45%45% 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
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
23%23% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Ze
Zeneca – Share and discuss your favorite books49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Zeneca – Share and discuss your favorite books

Hacker News70
Ze
Zeneca – Share and discuss your favorite books with the world51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Zeneca – Share and discuss your favorite books with the world

Hacker News18
Af
Afterword – Converse with your favorite books51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Afterword – Converse with your favorite books

Hacker News8
Le
Lendy – Keep track of books you have lended47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lendy – Keep track of books you have lended

Hacker News12
No
Notifier – Keep track of your favorite dependencies38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Notifier – Keep track of your favorite dependencies

Hacker News5
I
I developed a website to find books similar to my kid's favorite44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I developed a website to find books similar to my kid's favorite

Hacker News10
To
Top billionaires favorite books for high achievers54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Top billionaires favorite books for high achievers

Hacker News5
Biblosphere
Biblosphere42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The app to share printed books

Indie Hackers1books
Re
Reclist.me – Share your favorite books, podcasts, newsletters47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Reclist.me – Share your favorite books, podcasts, newsletters

Hacker News69
BacklinkBoard
BacklinkBoard44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find, share, and track your backlinks

Indie Hackers1marketing