I made a social like Instagram but for books

Hacker News

Hey Book Lovers! Today, we’re thrilled to introduce Biblio.com, your new social playground for everything books! Whether you're a voracious reader, budding author, or just someone who loves to explore new ideas through the written word, Bibliou has it all. With Bibliou, you can: Upload your own stories, novels, or poems and share them with the world Read an ever-growing library of books and writings by other users – discover hidden gems! Follow authors, readers, and creators whose content you love – build your literary network Create reading lists, leave reviews, and join discussions in vibrant community forums Get personalized recommendations and discover your next favorite book in no time! Why Bibliou? Unlike other book apps, Bibliou is truly multi-functional – it’s your personal bookshelf, a space to publish your work, a place to connect with readers and writers, and much more. Forget juggling between multiple platforms; now you can do it all in one spot! Whether you're an indie author looking to build a fanbase or a casual reader searching for your next cozy read, Bibliou makes it effortless to connect and share stories. We’re just getting started and would love your feedback! Jump in, explore, and help us shape the future of books online. Join the conversation – the literary world is waiting!

Visit product View on Hacker NewsOct 15, 2024

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6points

24comments

Did not reach leaderboard

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

90%90% 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.

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

53%53% 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 HuntOn track for Day 1 leaderboard · Strong signals: apps, user, new · Missing: mac, agents, macos

52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, reviews, users · Missing: plus, intuitive, host

47%47% 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

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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