GoodReadsLunatics – I turned 16,000 book reviews into a game

Hacker News

I decided to give Blazor a try and created a small project called GoodreadsLunatics. It’s a game where you guess which book a review comes from based on some of the funniest Goodreads reviews I filtered out. To build it, I started with a list of the 100 most-read books and scraped multiple reviews for each book. Then, I used a large language model (via Semantic Kernel) to evaluate and score the reviews for humor. Afterward, I manually approved the funniest ones since many reviews were either genuine, not funny, or in a different language. I'm currently still manually approving reviews for the game. The project is hosted on a Hetzner server, and I’m happy to answer any questions about it!

Visit product View on Hacker NewsJan 15, 2025

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Hacker NewsStrong engagement from HN community · Strong signals: lua, ide, 000 · Missing: https docs, excited, just released

63%63% 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: model · Missing: mac, agents, macos

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

37%37% 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, revenue

19%19% 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

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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