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Fast VHDL language server written in Rust

Hacker News

Fast VHDL language server written in Rust

I want to share a VHDL language server I have written in Rust. It is now in a really good state and is ready to be the daily driver for someone working on VHDL. It is completely free and open source, enjoy! The performance is great, it can load 200k lines in 200ms using all 8-cores on my desktop. When loaded it only consumes 220 MB of RAM. It supports goto/find-references as well as type checking for close to all of VHDL-2008.

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Actual performance

3points
5comments
Did not reach leaderboard

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Hacker NewsStrong engagement from HN community · Strong signals: open source · Missing: https docs, excited, just released
74%74% 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: using, open · Missing: mac, agents, macos
71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
25%25% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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