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Pgrust, Postgres in Rust (passing 100% of Postgres regression tests)

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Pgrust, Postgres in Rust (passing 100% of Postgres regression tests)

pgrust is a PostgreSQL rewrite in Rust I've been working on with my friend Jason. It now passes 100% of PostgreSQL's regression tests and we were even able to boot pgrust off an existing PostgreSQL 18.3 data directory. You can hack on its code or try it out quickly with the WASM build on pgrust.com. It's not production ready yet. I haven't focused on performance optimized yet and it's not compatible with existing PostgreSQL extensions. I want to improve upon Postgres in many ways in the future. I wrote about some here [0], and Jason and I saw a great talk in person at PGConf.dev a month ago from Bruce Momjian with some more [1]. I wanted to rewrite Postgres in Rust to make it easier to make these changes with AI in the future and I think AI-assisted programming is going to get more and more ambitious over time. Would love for people to try it out and get feedback on what you'd like to see improved about Postgres the most and what the most exciting things we can do are. [0] https://malisper.me/the-four-horsemen-behind-thousands-of-po... [1] https://www.youtube.com/watch?v=ppGO7r2sEkE

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Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, io · Missing: https docs, excited, just released
78%78% 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: code · Missing: mac, agents, macos
75%75% 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: compatible · Missing: supports, reddit linkedin, podcasting
72%72% 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, way · Missing: mobile apps, ios, personal
44%44% 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
29%29% 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
22%22% 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.

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