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death_eternal
searching Neon…
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1.
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HateArena – A free and open source arena shooter
(github.com)
31 points
by
death_eternal
3mo ago
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8 comments
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Type-level invariants in the Spectre Programming Language
(spectre-docs.pages.dev)
1 points
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death_eternal
5mo ago
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0 comments
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Show HN: Spectre: A systems design-by-contract language, self hosted compiler
(spectrelang.org)
3 points
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death_eternal
5mo ago
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0 comments
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Spectre – A design-by-contract, compiled programming language with QBE back end
(github.com)
1 points
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death_eternal
6mo ago
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0 comments
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by
death_eternal
6mo ago
You're clearly wrong.
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death_eternal
6mo ago
Yeah, you're not really that interesting to be honest.
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Show HN: I'm writing a scalable alternative to gource with diff animation modes
(github.com)
1 points
by
death_eternal
8mo ago
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0 comments
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death_eternal
8mo ago
You can look at the repository to see the differences. The troubleshooting abilities of the program are far superior to lutris already, My experience with lutris is you run the install script, attempt to run the game, it doesnt work and fai
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Show HN: I'm writing an alternative to Lutris
(github.com)
15 points
by
death_eternal
8mo ago
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4 comments
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Show HN: I implemented generics in my programming language
(axe-docs.pages.dev)
38 points
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death_eternal
9mo ago
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21 comments
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death_eternal
10mo ago
Very.
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death_eternal
10mo ago
1. It manages memory through deterministic ownership rules and optional arena allocation. Pointers never outlive the allocator that created them, and the compiler performs lifetime checks to prevent use-after-free or double-free errors. 2.
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Show HN: Axe - A Systems Programming Language with Builtin Parallelism and No GC
(axelang.org)
16 points
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death_eternal
10mo ago
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5 comments
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Show HN: Versed, content aggregator site with graph views and customizable feeds
(versed.cc)
1 points
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death_eternal
1y ago
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0 comments
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death_eternal
1y ago
The goal is to not need to write C just to get performant code, especially for things like concurrency and numerics. While Nim can be fast without `ref object`, and you can guide the compiler to autovectorize in some cases, it often require
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death_eternal
1y ago
Like I said, the use case is heavy numerical workloads with, e.g. dataframes, in a context where the data is too big for something like python to handle. Using Nim for this is quite difficult too due to value unboxing overhead. It is easier
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Show HN: Scar – A programming language for easy concurrency and parallelism
(scarlang.pages.dev)
7 points
by
death_eternal
1y ago
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7 comments
18.
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by
death_eternal
1y ago
Repo: https://github.com/navid-m/scar Because of the relatively poor state of multithreading in Nim and the reliance on external libraries like Arraymancer for heavy numerical workloads (also the performance issues wit