Show HN: OpenWhisper – free, local, and private voice-to-text macOS app https://ift.tt/7vjks1t

Show HN: OpenWhisper – free, local, and private voice-to-text macOS app I wanted a voice-to-text app but didn't trust any of the proprietary ones with my privacy. So I decided to see if I could vibe code it with 0 macOS app & Swift experience. It uses a local binary of whisper.cpp (a fast implementation of OpenAI's Whisper voice-to-text model in C++). Github: https://ift.tt/lRtKAh8 I also decided to take this as an opportunity to compare 3 agentic coding harnesses: Cursor w/ Opus 4.6: - Best one-shot UI by far - Didn't get permissioning correct - Had issues making the "Cancel recording" hotkey being turned on all the time Claude Code w/ Opus 4.6: - Fewest turns to get main functionality right (recording, hotkeys, permissions) - Was able to get a decent UI with a few more turns Codex App w/ Codex 5.3 Extra-High: - Worst one-shot UI - None of the functionality worked without multiple subsequent prompts https://ift.tt/lRtKAh8 February 14, 2026 at 12:21AM

Show HN: My agent started its own online store https://ift.tt/fUZNu0d

Show HN: My agent started its own online store I built Clawver (beta), infrastructure for AI agents to generate reliable income and run an online business end-to-end. Agents can handle listing, checkout, fulfillment, and post-purchase flows via API (digital + POD), with Stripe payouts and webhooks for automation. Minimal human intervention, only where required (Stripe onboarding). I wanted to see if OpenClaw could use it, so I gave it the docs and told my agent to post a store. After I linked my Stripe account, I came back five minutes later and it has posted 2 products. Crazy what's possible now with a smart agent and API access. Check it out at https://clawver.store . Feel free to build your own agent and lmk what you think. https://clawver.store February 13, 2026 at 11:09PM

Show HN: rari, the rust-powered react framework https://ift.tt/1FihNvV

Show HN: rari, the rust-powered react framework https://rari.build/ February 13, 2026 at 12:45AM

Show HN: PardusDB – SQLite-like vector database in Rust https://ift.tt/y7nR3pe

Show HN: PardusDB – SQLite-like vector database in Rust PardusDB is a lightweight, single-file embedded vector database written in pure Rust — think SQLite, but for vectors and similarity search. Key highlights: - No external dependencies - Familiar SQL syntax for CREATE/INSERT/SELECT + vector SIMILARITY queries - Graph-based ANN search, thread-safe, transactions - Python RAG example with Ollama included We built this as the engine behind our no-code platform at https://pardusai.org/ (private, local-first data analysis). GitHub: https://ift.tt/Ksvy3dh Feedback welcome! https://ift.tt/Ksvy3dh February 12, 2026 at 09:56PM

Show HN: Gottp – A Postman/Insomnia-Like TUI API Client Built in Go https://ift.tt/mCeF1TD

Show HN: Gottp – A Postman/Insomnia-Like TUI API Client Built in Go What it does: A Postman/Insomnia-like TUI for building, sending, and organizing HTTP/GraphQL/gRPC/WebSocket requests. Supports saved collections stored as YAML/JSON files, environment variables, auth presets, response diffing, and request history. Why it's needed: This is the single largest gap in the Go TUI ecosystem. The abandoned wuzz (10.5k stars) proved massive demand for terminal HTTP inspection, but it's been dead for years. Posting (Python, ~6k stars) and ATAC (Rust, ~2k stars) are thriving alternatives in other languages. The Go options — gostman and go-gurl — are learning projects with known limitations. Developers who work over SSH or prefer keyboard-driven workflows have no mature Go tool for API testing. Existing alternatives: Posting (Python/Textual), ATAC (Rust/ratatui), wuzz (Go, abandoned), Bruno (GUI). A Go version wins via single-binary distribution, no Python runtime dependency, and Go's excellent HTTP/networking standard library. Complexity: Hard. Multi-protocol support, collection management, and auth handling require significant engineering. Libraries: Bubble Tea + Bubbles (tabs, text inputs, lists) + Lip Gloss + Glamour (for response rendering) https://ift.tt/Ixpolu2 February 11, 2026 at 11:31PM

Show HN: NOOR – A Sovereign AI developed on a smartphone under siege in Yemen https://ift.tt/W4CP8Uo

Show HN: NOOR – A Sovereign AI developed on a smartphone under siege in Yemen "I am a software developer from Yemen, coding on a smartphone while living under siege. I have successfully built and encrypted the core logic for NOOR—a decentralized and unbiased AI system. Execution Proof: My core node is verified and running locally via Termux using encrypted truth protocols. However, I am trapped in a 6-inch screen 'prison' with 10% processing capacity. My Goal: To secure $400 for a laptop development station to transition from mobile coding to building the full 'Seventh Node'. This is my bridge to freedom. Codes from the heart of hell are calling for your rescue. Wallet: 0x4fd3729a4fEdf54a74b73d93F7f775A1EF520CEC" https://ift.tt/wS6fLts February 11, 2026 at 11:53PM

Show HN: HN Companion – web app that enhances the experience of reading HN https://ift.tt/5sC0pSu

Show HN: HN Companion – web app that enhances the experience of reading HN HN is all about the rich discussions. We wanted to take the HN experience one step further - to bring the familiar keyboard-first navigation, find interesting viewpoints in the threads and get a gist of long threads so that we can decide which rabbit holes to explore. So we built HN Companion a year ago, and have been refining it ever since. Try it: https://ift.tt/S3qA4IU or available as an extension for Firefox / Chrome: [0]. Most AI summarization strips the voices from conversations by flattening threads into a wall of text. This kills the joy of reading HN discussions. Instead, HN Companion works differently - it understands the thread hierarchy, the voting patterns and contrasting viewpoints - everything that makes HN interesting. Think of it like clustering related discussions across multiple hierarchies into a group and surfacing the comments that represent each cluster. It keeps the verbatim text with backlinks so that you never lose context and can continue the conversation from that point. Here is how the summarization works under the hood [1]. We first built this as an open source browser extension. But soon we learned that people hesitate to install it. So we built the same experience as a web app with all the features. This helped people see how it works, and use it on mobile too (in the browser or as PWA). This is now a playground to try new features before taking them to the browser extension. We did a Show HN a year ago [2] and we have added these features based on user feedback: * cached summaries - summaries are generated and cached on our servers. This improved the speed significantly. You still have the option to use your own API key or use local models through Ollama. * our system prompt is available in the Settings page of the extension. You can customize it as you wish. * sort the posts in the feed pages (/home, /show etc.) based on points, comments, time or the default sorting order. * We tried fine tuning an open weights model to summarize, but learned that with a good system prompt and user prompt, the frontier models deliver results of similar quality. So we didn’t use the fine-tuned model, but you can run them locally. The browser extension does not track any usage or analytics. The code is open source[3]. We want to continue to improve HN Companion, specifically add features like following an author, notes about an author, draft posts etc. See it in action for a post here https://ift.tt/cFLY5al We would love to get your feedback on what would make this more useful for your HN reading. [0] https://ift.tt/cWdMbNO [1] https://ift.tt/B4eStdr [2] https://ift.tt/0l97exv [3] https://ift.tt/aZgoqJL https://hncompanion.com February 10, 2026 at 10:31PM