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Show HN: LocalGPT – A local-first AI assistant in Rust with persistent memory

https://github.com/localgpt-app/localgpt
212•yi_wang•8h ago•88 comments

Show HN: Analyzing 9 years of HN side projects that reached $500/month

3•haileyzhou•1h ago•1 comments

Show HN: Kybera – Agentic Smart Wallet with AI Osint and Reputation Tracking

https://kybera.xyz
3•xipz•1h ago•0 comments

Show HN: Free Bank Statement Analyzer to Find Spending Leaks and Save Money

https://www.whereismymoneygo.com/
2•raleobob•1h ago•1 comments

Show HN: A2A Protocol – Infrastructure for an Agent-to-Agent Economy

2•swimmingkiim•1h ago•1 comments

Show HN: I saw this cool navigation reveal, so I made a simple HTML+CSS version

https://github.com/Momciloo/fun-with-clip-path
102•momciloo•15h ago•24 comments

Show HN: Solnix – an early-stage experimental programming language

https://www.solnix-lang.org/
4•maheshbhatiya•1h ago•0 comments

Show HN: A luma dependent chroma compression algorithm (image compression)

https://www.bitsnbites.eu/a-spatial-domain-variable-block-size-luma-dependent-chroma-compression-...
43•mbitsnbites•3d ago•7 comments

Show HN: OpenCode for Meetings

https://getscripta.app
3•whitemyrat•2h ago•1 comments

Show HN: Look Ma, No Linux: Shell, App Installer, Vi, Cc on ESP32-S3 / BreezyBox

https://github.com/valdanylchuk/breezydemo
311•isitcontent•1d ago•39 comments

Show HN: If you lose your memory, how to regain access to your computer?

https://eljojo.github.io/rememory/
379•eljojo•1d ago•218 comments

Show HN: I spent 4 years building a UI design tool with only the features I use

https://vecti.com
378•vecti•1d ago•173 comments

Show HN: Open-source AI powered Kubernetes IDE

https://github.com/agentkube/agentkube
2•saiyampathak•3h ago•0 comments

Show HN: Lucid – Use LLM hallucination to generate verified software specs

https://github.com/gtsbahamas/hallucination-reversing-system
2•tywells•3h ago•0 comments

Show HN: Kappal – CLI to Run Docker Compose YML on Kubernetes for Local Dev

https://github.com/sandys/kappal
45•sandGorgon•3d ago•27 comments

Show HN: Seedance 2.0 – The Most Powerful AI Video Generator

https://seedance.ai/
2•bigbromaker•5h ago•0 comments

Show HN: Smooth CLI – Token-efficient browser for AI agents

https://docs.smooth.sh/cli/overview
100•antves•2d ago•70 comments

Show HN: R3forth, a ColorForth-inspired language with a tiny VM

https://github.com/phreda4/r3
88•phreda4•1d ago•17 comments

Show HN: High-performance bidirectional list for React, React Native, and Vue

https://suhaotian.github.io/broad-infinite-list/
2•jeremy_su•6h ago•0 comments

Show HN: Artifact Keeper – Open-Source Artifactory/Nexus Alternative in Rust

https://github.com/artifact-keeper
161•bsgeraci•2d ago•66 comments

Show HN: BioTradingArena – Benchmark for LLMs to predict biotech stock movements

https://www.biotradingarena.com/hn
32•dchu17•1d ago•13 comments

Show HN: Slack CLI for Agents

https://github.com/stablyai/agent-slack
56•nwparker•2d ago•13 comments

Show HN: Django-rclone: Database and media backups for Django, powered by rclone

https://github.com/kjnez/django-rclone
2•cui•10h ago•1 comments

Show HN: Gigacode – Use OpenCode's UI with Claude Code/Codex/Amp

https://github.com/rivet-dev/sandbox-agent/tree/main/gigacode
25•NathanFlurry•1d ago•11 comments

Show HN: Axiomeer – An open marketplace for AI agents

https://github.com/ujjwalredd/Axiomeer
12•ujjwalreddyks•5d ago•2 comments

Show HN: Witnessd – Prove human authorship via hardware-bound jitter seals

https://github.com/writerslogic/witnessd
2•davidcondrey•10h ago•2 comments

Show HN: Micropolis/SimCity Clone in Emacs Lisp

https://github.com/vkazanov/elcity
174•vkazanov•3d ago•50 comments

Show HN: ARM64 Android Dev Kit

https://github.com/denuoweb/ARM64-ADK
18•denuoweb•2d ago•2 comments

Show HN: PalettePoint – AI color palette generator from text or images

https://palettepoint.com
2•latentio•12h ago•0 comments

Show HN: I built a <400ms latency voice agent that runs on a 4gb vram GTX 1650"

https://github.com/pheonix-delta/axiom-voice-agent
2•shubham-coder•14h ago•1 comments
Open in hackernews

Show HN: Learn LLMs LeetCode Style

https://github.com/Exorust/TorchLeet
181•Exorust•6mo ago

Comments

only-one1701•6mo ago
> Avoid using GPT. Try to solve these problems on your own. The goal is to learn and understand PyTorch concepts deeply.

I mean...this entire project appears to be mostly GPT-generated?

mumbisChungo•6mo ago
One time my teacher used a computer to make a math test for me, but then told me I couldn't use my computer during the exam. I dropped out of school immediately.
only-one1701•6mo ago
Great analogy my brother there’s minimal difference between a word processing software and an LLM
YeBanKo•6mo ago
Why do you think it I GPT generated?
notathinker•6mo ago
The purpose of the project is learning. The author believes that avoiding GPT will help you learn more effectively and offers that as upfront guidance. In this case, “avoid using GPT” isn’t an ethical directive but simply a learning recommendation. The value of that advice isn’t tied to which tools were used to create the question set.
only-one1701•6mo ago
Did GPT write this?
gerroo•6mo ago
Cool idea, will try. Since it seems mostly llm generated you could publish the process and prompts for transparency.
Exorust•6mo ago
I'll do that. I'll also add a disclosure that I did use Gpt to generate it.
arnab_optimatik•6mo ago
super helpful, thanks for sharing!
oezi•6mo ago
Is it just me or does anyone else find the red squiggly lines under Pytorch and Leet hilarious in the heading picture?
Exorust•6mo ago
Ah god damn it.
pj_mukh•6mo ago
What are people's other "go try to build this thing, perfectly aligned to your noob-level" ways of learning lower-level ML Tools (PyTorch, CUDA etc.)?
janalsncm•6mo ago
This is decent for what it is. Some of the problems are pretty open ended which has pros and cons, but that is very different from leetcode, which has very specific data and test cases.

For example, implement linear regression but the example solution uses a random number generator without a fixed seed. It’s fine, reproducibility isn’t the point, but leetcode problems are more structured.

In leetcode they usually don’t tell you exactly what data structure you must use, only that it must pass certain test cases. By analogy this might not tell you which architecture to use but require that it passes certain eval metrics.

Exorust•6mo ago
I hoped that it would be a little open ended as most questions in ML in real life are open ended.
janalsncm•6mo ago
Most ML problems in real life don’t constrain you to use linear regression or a CNN either. But there will be some metric you need to optimize.

What would take this repo to the next level is to have a reproducible data generation function for each exercise as well as a reasonable metric which must be passed. I don’t see anything that requires my classification auc to be over 0.5 which would be a basic criteria of bug-free code.

Exorust•6mo ago
It's also what most people ask when they go for interviews.

I was reverse engineering the ML interview pipeline for myself and that's how I stumbled upon all this.

I think the data aspect does make sense tho. I might add that as the next thing to do

cwlcwlcwlingg•6mo ago
It helps me a lot!!