A unique way to discover books, TV shows, video games, and more

Hacker News

I created this little web app after finding it hard to books I actually enjoyed reading. The apps makes it super easy for you to describe what you're looking for, then gives you recommendations that match your description. It currently works for books (fiction and non-fiction), TV shows, movies, video games, and songs. I've found that a little bit of exploration goes a long way... and I've personally found some great stuff. Please let me know what you think!

Visit product View on Hacker NewsSep 10, 2024

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Strong signals: created, songs · Missing: supports, reddit linkedin, podcasting

82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: apps · Missing: mac, agents, macos

66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: personal, apps, video · Missing: mobile apps, ios, entrepreneurs

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

37%37% 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

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

myCast.io62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fancasting movies, tv shows, books, video games, and more

Indie Hackerscommitment-side-project

Reclist76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Recommend and discover Books, Podcasts, Music & TV Shows

Indie Hackerscommitment-side-project

Catalist33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Save and discover TV shows, movies, books - all in one place

Indie Hackers1books

Share and discover apps, books, movies and TV shows with your friends61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Share and discover apps, books, movies and TV shows with your friends

Hacker News8

Joytime68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Track interesting and exciting books, movies and TV shows

Indie Hackers1art

Missedit.tv, a non-sketchy way to get torrents for recent tv shows46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Missedit.tv, a non-sketchy way to get torrents for recent tv shows

Hacker News1

MarkSthFun – Mark Fun Books,Movies,Albums,TV Shows,Places,Games,etc.47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MarkSthFun – Mark Fun Books,Movies,Albums,TV Shows,Places,Games,etc.

Hacker News1

SHOW HN: Brainturk Toddler – Games and books for preschoolers60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SHOW HN: Brainturk Toddler – Games and books for preschoolers

Hacker News2

Sellox Inc44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Discover something as unique as you are

Indie Hackerscommitment-full-time

Lazyday.tv a lazier way to browse movies and tv shows56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lazyday.tv a lazier way to browse movies and tv shows

Hacker News2

Browse all products Analyze your launch