Show HN: Fleet – a local-first console for managing Dockerized Hermes AI Agents https://ift.tt/FPdZHJe

Show HN: Fleet – a local-first console for managing Dockerized Hermes AI Agents https://ift.tt/cdP26po June 30, 2026 at 12:31AM

Show HN: Image2JXL – a native macOS JPEG XL converter https://ift.tt/M2idH4p

Show HN: Image2JXL – a native macOS JPEG XL converter https://ift.tt/mgJV628 June 29, 2026 at 04:09AM

Show HN: Use-zerostack – delegate any task to a lightweight coding agent https://ift.tt/C5E7flx

Show HN: Use-zerostack – delegate any task to a lightweight coding agent https://ift.tt/GgupCmF June 28, 2026 at 11:33PM

Show HN: NanoEuler – GPT-2 scale model in pure C/CUDA from scratch https://ift.tt/ORl9gqf

Show HN: NanoEuler – GPT-2 scale model in pure C/CUDA from scratch Hi everyone, I started working on nanoeuler after the ban of anthropic's fable because my ambition and dream is to work in the AI field in anthropic. The two interesting reasons that led me to create nanoeuler were (1) interfacing with llm does not mean understanding how they are composed and (2), working on llm with a very low-level layer to understand the correlation between parameters and data and growth of the model and how the GPU works and how some layers can be optimized. So I started working on it with a research aspect by making nanoeuler grow more and more but doing one step after another starting from Shakespeare.txt and understanding what a text generation model understands at 23 million parameters. For example, nanoeuler at that number had understood that Name: started a line and wrote that line with sense. I wrote everything in CUDA because I wanted to not use any intermediary between the model in training and inference and what it had to do. Then the use of SFT and much more, even if in small ways, were really useful to understand the various step to make an llm like a chatbot.Any feedback, help, or suggestions are absolutely welcome! https://ift.tt/Kctn6T3 June 28, 2026 at 11:38PM

Show HN: Starglyphs - A constellation puzzle game based on Euler paths https://ift.tt/vcqX6Hi

Show HN: Starglyphs - A constellation puzzle game based on Euler paths I am a big Dragon Age fan and sunk hundreds of hours into Inquisition. It had this minigame called astrariums where you had to solve these shapes based on constellation guides by tracing stars. I'm a hobby game dev and wondered if I could procedurally generate these puzzles so they were always solvable. Turns out you can, so I built a space puzzle game around it with a colorful aesthetic. I released it in web form here but I'm currently working on getting it on Steam and mobile. https://starglyphs.com June 28, 2026 at 01:50AM

Show HN: Wind particles on Mapbox from a single EXIF JPEG https://ift.tt/SKCxi7O

Show HN: Wind particles on Mapbox from a single EXIF JPEG https://ift.tt/SGB1CAk June 27, 2026 at 10:16PM

Show HN: Overfitted a 900KB Transformer to Compress a 100MB CSV into 7MB https://ift.tt/7vQywAh

Show HN: Overfitted a 900KB Transformer to Compress a 100MB CSV into 7MB I built an experiment that uses an overfitted transformer and arithmetic coding to compress individual files. Instead of training the model to generalize, I train a 900KB transformer to memorize a single file and predict the next byte. Those predictions are fed into an arithmetic coder to produce the compressed output. On a 100MB NYC taxi CSV, it compresses to about 7MB (~0.5 bits/byte). On a 100MB slice of enwik9, it compresses to about 21MB (~1.68 bits/byte). It's pretty slow right now (roughly 20–30 minutes of training and 45 minutes each for compression and decompression on my AMD 7800XT). Checkout the repo - https://ift.tt/n0Oie9j June 23, 2026 at 05:11PM