Zorilla – vibe-code a 3D game in the browser

Hacker News

Zorilla is a 3D game remixer that runs in the browser. You start in a tiny Three.js world — you, a patroller, three shards to collect, and an exit. You type plain English in a text box ("make the patroller chase me faster," "give me a flying cat that drops bombs," "turn the floor to ice") and an LLM rewrites the JavaScript live. The next playable iframe loads in a few seconds. Share the URL, and a friend can remix it back at you and join into your world (up to 4 people). The remix loop runs on Anthropic's Claude API. A separate Claude task writes me a daily brief that reads our DECISIONS.md, pulls funnel counts from stored metrics, and proposes three growth experiments for the day. (this is one btw) This came about bc Mm 13yo son wanted to make a game, but I figured a good learning experience would be to make a platform using AI, easier to ship, launch, and iterate (I think?). So this is what we have. He shapes the gameplay - what's fun, what isn't, what the patroller should do. He doesn't write code; he gives taste calls. I orchestrate as the HITL, and Claude does the coding, measurement, and planning based on observed data via daily scheduled commands in Cowork. wdyt? https://www.zoril.la

Visit product View on Hacker NewsMay 27, 2026

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

97%97% 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 · Strong signals: para · Missing: supports, reddit linkedin, podcasting

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

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

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

27%27% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Strong signals: growth · Missing: arr, mrr, revenue

24%24% 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.

Correct prediction on native model

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