VectorOps Know
VectorOps Know is an extensible code-intelligence helper library. It scans your repository, builds a language-aware graph of files / packages / symbols and exposes high-level tooling for search, summarisation, ranking and graph analysis to LLMs.
VectorOps Know launched on August 7, 2025 with 8 votes, #2,487 of 8,530 launches that month and more than 75% of that year's launches. The site was not reachable when checked in September 2026.
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Traycer AI2025 · traycer.ai · ▲190Hey everyone! We've built Traycer, a tool that transforms your GitHub issues—everything from descriptions and attached images to ongoing conversations—into clear, actionable implementation plans. You can easily import these plans into your IDE with our extension or use them with any other coding assistant you prefer. We'd love to hear your thoughts and feedback. Traycer is totally free for open-source projects, and we've got a 2-week free trial if you're working with private repos. Give it a try and let us know what you think!
- VYVectorVFS, your filesystem as a vector database2025 · vectorvfs.readthedocs.io · ▲279
AISlop, a CLI for catching AI generated code smellsMay 2026 · github.com · ▲73Hi, I’m Kenny, I’ve been building aislop. I starting working on this after using Claude Code, codex and opencode several times and noticing some slops. They aren’t syntax and passes most tests, they are patterns like empty catch blocks, useless comments, duplicated helpers, dead code and many more. So I built a tool to scan and check for these patterns and wired it into hooks so after each tool call, the agent checks for the slops. You can try it out with npx aislop scan. It’s all local and no code is transferred. Thank you.
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Source: Show HN post ↗
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I built the world's most impractical 1000-pixel display and anyone in the world can draw on it. It draws a single pixel at a time and takes 30-60 minutes to complete a single image. Anyone can participate in the project by voting for the next image to be drawn, and submitting images. https://kilopx.com/
Work · 2025 · benholmen.com
Kitten TTS is an open-source series of tiny and expressive text-to-speech models for on-device applications. We are excited to launch a preview of our smallest model, which is less than 25 MB. This model has 15M parameters. This release supports English text-to-speech applications in eight voices: four male and four female. The model is quantized to int8 + fp16, and it uses onnx for runtime. The model is designed to run literally anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required! We're releasing this to give early users a sense of the latency and voices…
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I was wondering how I can arrange objects along a spherical helix path, and read some articles on it. I ended up learning about parametric equations again, and make this visualization to document what I learned: https://visualrambling.space/moving-objects-in-3d/ feel free to visit and let me know what you think!
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