Postingan

Show HN: Transcribe Your Voice in Terminal Locally https://ift.tt/3YOwzS7

Show HN: Transcribe Your Voice in Terminal Locally Use hns, a speech-to-text CLI tool to transcribe your voice from your microphone directly to clipboard. Integrate hns with Claude Code, Ollama, LLM, and more CLI tools for powerful workflows. hns transcribes your voice 100% locally using faster-whisper. The whisper model is downloaded automatically on first run and after that, hns can be used completely offline. After transcription, the text is displayed in the terminal (written to stdout) as well as automatically copied to your clipboard, ready to be pasted anywhere with Ctrl+V or Cmd+V. GitHub: https://ift.tt/oy5dhfJ https://hns-cli.dev/ November 22, 2025 at 12:04AM

Show HN: DeepSeek-OCR with MPS and CPU Support https://ift.tt/gyaSGdH

Show HN: DeepSeek-OCR with MPS and CPU Support https://twitter.com/dogacel0/status/1991629702575079783 November 21, 2025 at 11:49PM

Show HN: Markov Models and Dynamical Systems – Software and Book https://ift.tt/MOPYvGw

Show HN: Markov Models and Dynamical Systems – Software and Book This is a draft of a second edition of this book from SIAM https://ift.tt/LT3fy8w... There are three things to show: 1. A pdf of the draft: https://ift.tt/zGhZ2yS 2. The hmm project which provides code for state-space models: https://ift.tt/cspAaut with documentation at https://fraserphysics.gitlab.io/hmm/ 3. The hmmds project which provides code for using state-space models to address some examples: https://ift.tt/dhHtCvL with doumentation at https://fraserphysics.gitlab.io/hmmds/ The default target for hmmds is to build the book. On my home system it takes about 10 hours to build the book. I would be grateful for comments or suggestions on any aspect of any of the three things. I am particularly interested in help with the following: 1. I use NixOS for developing. I've documented progress on making the code useful in other enviroments at https://fraserphysics.gitlab.io/hmmds/getting_started.html Please let me know i...

Show HN: Wealthfolio 2.0- Open source investment tracker. Now Mobile and Docker https://ift.tt/9UPV032

Show HN: Wealthfolio 2.0- Open source investment tracker. Now Mobile and Docker Hi HN, creator of Wealthfolio here. A year ago, I posted the first version. Since then, the app has matured significantly with two major updates: 1. Multi-platform Support: Now available on Mobile (iOS), Desktop (macOS, Windows, Linux), and as a Self-hosted Docker image. (Android coming soon). 2. Addons System: We added explicit support for extensions so you can hack around, vibe code your own integrations, and customize the app to fit your needs. The core philosophy remains the same: Always private, transparent, and open source. https://ift.tt/hFlMqWb November 21, 2025 at 11:34PM

Show HN: MCP Traffic Analysis Tool https://ift.tt/OJYsgW2

Show HN: MCP Traffic Analysis Tool https://ift.tt/HUxRYFV November 18, 2025 at 01:06AM

Show HN: Tangent – DSL-free log pipeline powered by WASM https://ift.tt/My2XeDQ

Show HN: Tangent – DSL-free log pipeline powered by WASM Hi HN! We’re Ethan and Danny, the authors of Tangent ( https://ift.tt/4JumfkO ), a Rust-based log pipeline where all normalization, enrichment, and detection logic runs as WASM plugins. We kept seeing the same problems in the OCSF ( https://ocsf.io ) community: 1) Schemas change constantly. Large companies have whole teams dedicated to keeping vendor→OCSF mappings up to date. 2) There’s no shared library of mappings, so everyone recreates the same work. 3) Writing mappers is tedious, repetitive work. 4) Most pipelines use proprietary DSLs that are hard to share and hard for tools/LLMs to generate. Tangent takes a different approach: no DSLs – mappings and enrichments are just normal code compiled to WASM, shareable plugins – we maintain a community library ( https://ift.tt/hjdFLyf ), interoperability – we can run other engines’ DSLs (e.g., Bloblang) inside WASM for easy migration, full flexibility – plugins can validate schemas, ...

Show HN: Chrome Store–featured extension that writes X replies via DOM observers https://ift.tt/I8T95ct

Show HN: Chrome Store–featured extension that writes X replies via DOM observers Hi HN, A couple of months ago I posted an early version of this Chrome extension. Since then I’ve refined it, fixed a bunch of stability issues, and it was recently featured on the Chrome Web Store’s “Featured” section, which was a nice surprise. What the extension does: – Detects the active tweet or thread directly in the browser – Collects relevant context (parent tweet, author info, thread shape) – Formats a prompt and sends it to the OpenAI API – Inserts the generated reply straight into Twitter’s native reply box All of this happens inside the X.com DOM, without storing any user data. Technical bits: – Uses MutationObserver to track X.com’s constantly changing DOM – Handles dynamically inserted tweet nodes, shadow DOM, and thread expansions – Debounces context extraction to avoid unnecessary re-runs – Simulates native input events to inject the reply so it feels built-in – Avoids backend state; everyt...