Show HN: Vaev – A browser engine built from scratch (It renders google.com) https://ift.tt/JI9R5XP

Show HN: Vaev – A browser engine built from scratch (It renders google.com) We’ve been working on Vaev, a minimal web browser engine built from scratch. It supports HTML/XHTML, the CSS cascade, @page rules for pagination, and print-to-PDF rendering. It even handles calc(), var(), and percentage units—and yes, it renders Google.com (mostly). This is an experimental project focused on learning and exploration. Networking is basic ( http:// and file:// only), and grid layouts aren’t supported yet, but we’re making progress fast. We’d love your thoughts and feedback. https://ift.tt/ASLdIO1 May 18, 2025 at 11:24PM

Show HN: Yum Yum Go - Mobile game to introduce healthy eating to kids https://ift.tt/sPB3bEz

Show HN: Yum Yum Go - Mobile game to introduce healthy eating to kids https://ift.tt/ua2tFpI May 18, 2025 at 01:48AM

Show HN: Blacklight – secret scanner for code, databases, drives, and slack https://ift.tt/Otf8oBC

Show HN: Blacklight – secret scanner for code, databases, drives, and slack We often ran pattern matching searches for secrets and keys across codebases, databases etc. Therefore, we thought about converting that workflow into a tool that we could just easily generate a SARIF report and share with our customers. Blacklight is a powerful secret, key, and sensitive data scanning tool that helps you detect and prevent sensitive information leaks in your codebase, databases, cloud storage, and communication platforms. The idea is that one can add their custom rules around their governance and compliance requirements. The platform comes with 114 matching criteria, but this can be extended easily. https://ift.tt/ps9fJ7M May 18, 2025 at 12:10AM

Show HN: I built a knife steel comparison tool https://ift.tt/tL2Da9V

Show HN: I built a knife steel comparison tool Hey HN! I'm a bit of a knife steel geek and got tired of juggling tabs to compare stats. So, I built this tool: https://ift.tt/De9Hwir It lets you pick steels (like the ones in the screenshot) and see a radar chart comparing their edge retention, toughness, corrosion resistance, and ease of sharpening on a simple 1-10 scale. [Maybe attach the screenshot here if HN allows, or link to it] It's already been super handy for me, and I thought fellow knife/metallurgy enthusiasts here might find it useful too. Would love to hear your thoughts or any steel requests! Cheers! https://ift.tt/De9Hwir May 17, 2025 at 10:43PM

Show HN: Solidis – Tiny TS Redis client, no deps, for serverless https://ift.tt/byCF431

Show HN: Solidis – Tiny TS Redis client, no deps, for serverless Hey everyone! Over the past two years I threw myself back into full-time engineering with a simple goal: write code that gives back to the community. After a lot of late-night FOMO (“AI will do it all for us, right?”) and some painful production incidents, I finally turned my weekend project into an open-source library. [ What is Solidis ? ] - Super-light (< 30 KB) RESP2/RESP3 client with zero runtime deps and first-class ESM/CJS support. - Fully tree-shakable – import only the commands you need. - Written with SOLID principles & full TypeScript typings for every command. - Designed for cold-start sensitive serverless platforms (small bundle + tiny memory footprint). [ Why I built it ] 1. node-redis & ioredis pain - ESM is still an after-thought. - Hidden deadlocks on RST, vague error surfaces. - Everything gets bundled, even commands you’ll never call. 2. I refuse to add a dependency I don’t fully understand – I literally read candidates 10× before `npm i`. 3. Serverless bills love to remind me that every KB and millisecond matters. [ Key features ] - Protocols: RESP2 and RESP3 (auto-negotiation) - Bundle size: `<30 KB` (core) / `<105 KB` (full) - Dependencies: 0 - Extensibility: Drop-in command plugins, custom transactions - Reliability: Auto-reconnect, per-command timeouts, type-checked replies [ Roadmap / Help wanted ] - Benchmarks against `node-redis` & `ioredis` (PRs welcome!) - More first-class Valkey love - Fuzz-testing the parser - Docs site – the README came first; I’d love help polishing full docs This might be my last big OSS push for a while, so stars, issues, and PRs mean the world . If Solidis saves you some cold-start time or just scratches a TypeScript itch, let me know! Repo: https://github.com/vcms-io/solidis License: MIT Thanks for reading, and happy hacking! (Feel free to AMA in the comments – I’m around.) https://github.com/vcms-io/solidis May 17, 2025 at 02:50AM

Show HN: KVSplit – Run 2-3× longer contexts on Apple Silicon https://ift.tt/UopV93T

Show HN: KVSplit – Run 2-3× longer contexts on Apple Silicon I discovered that in LLM inference, keys and values in the KV cache have very different quantization sensitivities. Keys need higher precision than values to maintain quality. I patched llama.cpp to enable different bit-widths for keys vs. values on Apple Silicon. The results are surprising: - K8V4 (8-bit keys, 4-bit values): 59% memory reduction with only 0.86% perplexity loss - K4V8 (4-bit keys, 8-bit values): 59% memory reduction but 6.06% perplexity loss - The configurations use the same number of bits, but K8V4 is 7× better for quality This means you can run LLMs with 2-3× longer context on the same Mac. Memory usage scales with sequence length, so savings compound as context grows. Implementation was straightforward: 1. Added --kvq-key and --kvq-val flags to llama.cpp 2. Applied existing quantization logic separately to K and V tensors 3. Validated with perplexity metrics across context lengths 4. Used Metal for acceleration (with -mlong-calls flag to avoid vectorization issues) Benchmarked on an M4 MacBook Pro running TinyLlama with 8K context windows. Compatible with Metal/MPS and optimized for Apple Silicon. GitHub: https://ift.tt/CAYbgkl https://ift.tt/CAYbgkl May 17, 2025 at 01:34AM

Show HN: Inconveniently operating my computer with voice and hand gestures https://ift.tt/Bmzwqnf

Show HN: Inconveniently operating my computer with voice and hand gestures Introducing Iron OS: it's like a regular computer, but much more inconvenient Created with threejs, rosebud AI, web speech API, and mediapipe computer vision Any feedback would be appreciated! I've been having fun experimenting with computer vision and voice control lately. https://twitter.com/measure_plan/status/1923452731248795856 May 17, 2025 at 12:46AM