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Zi

Zitrus – A 3DS SDK written in pure Zig

Hacker News

Zitrus – A 3DS SDK written in pure Zig

I've been working on it for the last months and has some demos that can be compiled with a single `zig build`. Currently it implements (not exhaustive): a graphics api fully written in zig, filesystem, networking, input support, a fully comptime IPC command generation and 20+ tools for 3DS-related file formats. It's still in somewhat "early stages" as it's missing a libc but that's planned in my infinite TODO list. The code is hosted on codeberg

Visit productView on Hacker NewsMar 26, 2026
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Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: filesystem, io · Missing: https docs, excited, just released
83%83% 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: single, code · Missing: mac, agents, macos
80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
23%23% 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
20%20% 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
11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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