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Raise Animals – Find every "Raise a ___" game, codes, and updates

Hacker News

Raise Animals – Find every "Raise a ___" game, codes, and updates

I built Raise Animals , a simple fan-made website for people who love “Raise a ___” Roblox games — like Raise a Floppa, Raise a Peter, Raise a Bingus, etc. I noticed that game codes, updates, and tips were scattered across Reddit, Discord, and YouTube comments. So I decided to gather everything into one clean, ad-free site that’s easy to search and navigate. The site automatically updates new game versions, redeem codes, and guides as they appear. It’s fully static (built with React + Vercel), no trackers, no monetization — just a useful resource for fans. Would love any feedback or feature ideas!

Visit product View on Hacker NewsOct 26, 2025

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Launch Intel predictions

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

61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

58%58% predicted probability of success on AppSumo, 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

54%54% 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 · Missing: mobile apps, ios, personal

35%35% 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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