A pure ARM64 Assembly web server, now on Linux with CGI for no reason

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This is ymawky, a now-dynamic web server written entirely in ARM64 Assembly. I've previously posted about ymawky here: https://news.ycombinator.com/item?id=48080587 In the past month and a half, I've made some pretty major improvements: I've added CGI scripting support, so the server now supports query strings and dynamic content; and I've fully ported ymawky to run on Linux, rather than macOS-only. In addition to GET/PUT/HEAD/DELETE/OPTIONS requests, because of CGI support ymawky also accepts POST requests (only to CGI resources for now). I've also updated the more detailed writeup to reflect CGI support and the Linux port: https://imtomt.github.io/ymawky/

Visit product View on Hacker NewsJun 23, 2026

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

69%69% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

TrustMRRLess likely to generate early MRR · Strong signals: month · 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 · Missing: plus, platform, intuitive

33%33% 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

17%17% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

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