_alphageek

4 ms·

1.
by _alphageek 7d ago
Wrapped findings while I was developing matching engine for crypto exchange. I never had time to summarize and write up these findings before. I hope it’s useful.
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The Same Crypto Exchange Matching Engine Measured 130,000/s and 106/s(ovasylenko.com)
1 points by _alphageek 7d ago|1 comments
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by _alphageek 15d ago
Location: Brazil (UTC-3) Remote: Yes Relocate: No Tech: Rust, Nest, Node.js/TypeScript, React, PostgreSQL, AWS/GCP, Rust Backend/systems engineer, 18+ years. Recent: g6k-rs — Rust lattice reduction (LLL/BKZ/sieving
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Why Ethereum Walked Away from Poseidon(twitter.com)
2 points by _alphageek 1mo ago|1 comments
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by _alphageek 1mo ago
Amazing article. Will save to explain ZKP to others. One tiny correction random.randrange(100) gives 300 possible commitments(3 colors for hundred nonces) After seeing a couple of revealed edges, the verifier can figure out the palette and
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by _alphageek 1mo ago
I have other way to do it. Never had a goal actually. There exists "God helmet experiments". You can actually buy a prototype from the one of the scientists who was working on experiment. Google "Shiva helmet system". Af
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by _alphageek 1mo ago
Absolutely. And scale does not matter. I had issues with top tier systems like docusign, tableau etc in beforeGPT era. Many undocumented issues and when you write support usually they only were pushing to buy top tier support package, but n
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by _alphageek 1mo ago
I started it 3 months ago to see if I can optimize existing algorithms and grow it up in the huge framework. Though, I develop it in private repository for 3 months, some APIs are unstable and might be changed, GPU support is hardware-depen
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Show HN: g6k-rs – lattice reduction framework on rust: supports CPU,Metal,CUDA(github.com)
3 points by _alphageek 1mo ago|1 comments
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by _alphageek 1mo ago
Location: Brazil (UTC-3) Remote: Yes (remote only, US/EUR timezone overlap) Willing to relocate: No Technologies: Node.js/NestJS/TypeScript, React, PostgreSQL, Redis, RabbitMQ, Docker, AWS/GCP, Rust (Tokio, Axum, Tonic
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by _alphageek 1mo ago
Intresting. Immovability becomes a property of the type (!Move) rather than the place (Pin), and the goal is to eventually deprecate Pin outright rather than paper over it with pin ergonomics. !Forge is what finally unblocks safe scoped spa
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by _alphageek 3mo ago
Location: Brazil (UTC-3) Remote: Yes (remote only, US timezone overlap) Willing to relocate: No Technologies: Rust (Tokio, Axum, Tonic, WASM),Node.js/NestJS/TypeScript, React, PostgreSQL, Redis, RabbitMQ, Docker, AWS/GCP, zk-
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by _alphageek 3mo ago
>> QUERY request can be cached I have a weird feeling. Query body is encrypted by https. So CDN will not be able to cache results. In order to make it work right - whole topology of the internet should be redone. Caching on the backe
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by _alphageek 4mo ago
Location: Brazil (UTC-3) Remote: Yes (remote only, US timezone overlap) Willing to relocate: No Technologies: Rust (Tokio, Axum, Tonic, WASM),Node.js/NestJS/TypeScript, React, PostgreSQL, Redis, RabbitMQ, Docker, AWS/GCP, zk-
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by _alphageek 4mo ago
I would have liked to have the checks-off delta plotted across rustc versions - the deck notes this stuff moves non-monotonically, so a trend line would say more than a single-version snapshot.
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by _alphageek 4mo ago
I ve seen already one question like that in the thread. But I rephrase it slightly sharper. Did you consider renting out you setup to vast.ai and if so, how much money it can generate per month deducting electricity. Also, sorry for the noo
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by _alphageek 4mo ago
I still have 42k page indexed, but previously I had 20k impressions per day, past week impressions started to change. And now I have 399 impressions per 24 hours :/
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by _alphageek 4mo ago
Amazing.Thank you
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by _alphageek 4mo ago
Thanks! Effect-ts is totally different tools though. It's an effect system (managing side effects, composability, error channels), while orch8 is about durable execution: your workflow survives crashes, deploys, and restarts without lo
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by _alphageek 5mo ago
Hi HN, TBH, it is my first post here and I am nervous a lot, as I put a lot of effort into this product. I have been building http://orch8.io for past 2 months. The story started when I used Temporal for long-running workflows,
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Show HN: Orch8 – Durable workflow engine in Rust, one binary, Postgres or SQLite(github.com)
26 points by _alphageek 5mo ago|5 comments
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by _alphageek 5mo ago
The duplicate-state collapse (hoisting the match out of the await branches like in his process_command example) is the single easiest pattern anyone can apply to existing async code today. No compiler work needed, just a refactor.
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by _alphageek 5mo ago
Location: Rio de Janero, BR -3 GMT Remote: Yes Willing to relocate: No Technologies: Rust, Nodejs, Typescript, React, Postgres, optimizations and mission critical systems, systems toolkits, exchanges, security audits Résumé&#x2
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by _alphageek 5mo ago
I go full course with supabase, they have compatible S3 storages. So auth, db, storage in same place and pretty easy to manage.
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by _alphageek 5mo ago
I would treat bwrap processes as single-use across tenants, since host-side state (allocator, FDs, namespace bits) accumulates and you can not really prove it clean.
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by _alphageek 5mo ago
The C++11 example is the weakest in the article by its own thesis. Public throwing constructor, no year check, no leap-year check, so Birthdate(0, 2, 30) constructs cleanly. The C++17/23 shape (private ctor + static factory) is the act
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by _alphageek 5mo ago
The weak link in the argument is the "1-2 GB DRAM stays stable" claim. That tier is stable because demand sits elsewhere. If AI workloads actually migrate down-capacity at scale (which is what the piece advocates), pricing pressur
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by _alphageek 5mo ago
I would also mention Rc/Arc is Cow<T> -it lets you borrow by default and only clone when you actually mutate. It sits in the middle of the spectrum andsaves a lot of allocations in code paths where most callers just read.
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by _alphageek 5mo ago
If anyone's doing this kind of optimization, dhat-rs is worth a look, it shows you exactly which fields and call sites are eating memory, instead of just a total. Saves a lot of guessing about where to start.
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by _alphageek 5mo ago
These attacks evolve each year. Initial ones were just obfuscated code inside some utilities jest/tailwind config, most sophisticated I have seen obfuscated code loaded on chain. So you can not find any trace in the packages, but when

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