Show HN: VOOG – Moog-style polyphonic synthesizer in Python with tkinter GUI https://ift.tt/b7wpHfy

Show HN: VOOG – Moog-style polyphonic synthesizer in Python with tkinter GUI Body: I built a polyphonic synthesizer in Python with a tkinter GUI styled after the Moog Subsequent 37. Features: 3 oscillators, Moog ladder filter (24dB/oct), dual ADSR envelopes, LFO, glide, noise generator, 4 multitimbral channels, 19 presets, rotary knob GUI, virtual keyboard with mouse + QWERTY input, and MIDI support. No external GUI frameworks — just tkinter, numpy, and sounddevice. https://ift.tt/xJIo60M February 15, 2026 at 11:40PM

Show HN: Microgpt is a GPT you can visualize in the browser https://ift.tt/WZdS6Gr

Show HN: Microgpt is a GPT you can visualize in the browser very much inspired by karpathy's microgpt of the same name. it's (by default) a 4000 param GPT/LLM/NN that learns to generate names. this is sorta an educational tool in that you can visualize the activations as they pass through the network, and click on things to get an explanation of them. https://ift.tt/M4RX6xY February 15, 2026 at 10:40PM

Show HN: An open-source extension to chat with your bookmarks using local LLMs https://ift.tt/bGTrQNJ

Show HN: An open-source extension to chat with your bookmarks using local LLMs I read a lot online and constantly bookmark articles, docs, and resources… then forget why I saved them. Also was very bored on Valentines, so I built a browser extension that lets you chat with your bookmarks directly, using local-first AI (WebLLM running entirely in the browser). The extension downloads and indexes your bookmarked pages, stores them locally, and lets you ask questions. No server, no cloud processing, everything stays on your machine. Very early but it works and planning to add a bunch of stuff. Did I mentioned is open-source, MIT licensed? https://ift.tt/HTD4teZ February 15, 2026 at 09:01PM

Show HN: Rover – Embeddable web agent https://ift.tt/dBtfLa6

Show HN: Rover – Embeddable web agent Rover is the world's first Embeddable Web Agent, a chat widget that lives on your website and takes real actions for your users. Clicks buttons. Fills forms. Runs checkout. Guides onboarding. All inside your UI. One script tag. No APIs to expose. No code to maintain. We built Rover because we think websites need their own conversational agentic interfaces as users don't want to figure out how your site works. If they don't have one then they are going to be disintermediated by Chrome's or Comet's agent. We are the only Web Agent with a DOM-only architecture, thus we can setup an embeddable script as a harness to take actions on your site. Our DOM-native approach hits 81.39% on WebBench. Beta with embed script is live at rtrvr.ai/rover. Built by two ex-Google engineers. Happy to answer architecture questions. https://ift.tt/TsaCj31 February 14, 2026 at 02:26AM

Show HN: Azazel – Lightweight eBPF-based malware analysis sandbox using Docker https://ift.tt/ph4fdxQ

Show HN: Azazel – Lightweight eBPF-based malware analysis sandbox using Docker Hey HN, I got frustrated with heavy proprietary sandboxes for malware analysis, so I built my own. Azazel is a single static Go binary that attaches 19 eBPF hook points to an isolated Docker container and captures everything a sample does — syscalls, file I/O, network connections, DNS, process trees — as NDJSON. It uses cgroup-based filtering so it only traces the target container, and CO-RE (BTF) so it works across kernel versions without recompilation. It also has built-in heuristics that flag common malware behaviors: exec from /tmp, sensitive file access, ptrace, W+X mmap, kernel module loading, etc. Stack: Go + cilium/ebpf + Docker Compose. Requires Linux 5.8+ with BTF. This is the first release — it's CLI-only for now. A proper dashboard is planned. Contributions welcome, especially around new detection heuristics and additional syscall hooks. https://ift.tt/Yr56OCz February 14, 2026 at 11:07PM

Show HN: I speak 5 languages. Common apps taught me none. So I built lairner https://ift.tt/xOdbQRq

Show HN: I speak 5 languages. Common apps taught me none. So I built lairner I'm Tim. I speak German, English, French, Turkish, and Chinese. I learned Turkish with lairner itself -- after I built it. That's the best proof I can give you that this thing actually works. The other four I learned the hard way: talking to people, making mistakes, reading things I actually cared about, and being surrounded by the language until my brain gave in. Every language app I tried got the same thing wrong: they teach you to pass exercises, not to speak. You finish a lesson, you get your dopamine hit, you maintain your streak, and six months later you still can't order food in the language you've been "learning." So I built something different. lairner has 700+ courses across 70+ languages, including ones that Duolingo will never touch because there's no profit in it. Endangered languages. Minority languages. A Turkish speaker can learn Basque. A Chinese speaker can learn Welsh. Most platforms only let you learn from English. lairner lets you learn from whatever you already speak. We work together with some institutes of endangered languages to be able to teach them on our platform. It's a side project. I work a full-time dev job and build this in evenings and weekends. Tens of Thousands of users so far, no ad spend, no funding. I'm not going to pretend this replaces living in a country or having a conversation partner. But I wanted something that at least tries to teach you the language instead of teaching you to play a language-themed game. Happy to answer anything. https://lairner.com February 13, 2026 at 07:11PM

Show HN: Moltis – AI assistant with memory, tools, and self-extending skills https://ift.tt/v8Ukay3

Show HN: Moltis – AI assistant with memory, tools, and self-extending skills Hey HN. I'm Fabien, principal engineer, 25 years shipping production systems (Ruby, Swift, now Rust). I built Moltis because I wanted an AI assistant I could run myself, trust end to end, and make extensible in the Rust way using traits and the type system. It shares some ideas with OpenClaw (same memory approach, Pi-inspired self-extension) but is Rust-native from the ground up. The agent can create its own skills at runtime. Moltis is one Rust binary, 150k lines, ~60MB, web UI included. No Node, no Python, no runtime deps. Multi-provider LLM routing (OpenAI, local GGUF/MLX, Hugging Face), sandboxed execution (Docker/Podman/Apple Containers), hybrid vector + full-text memory, MCP tool servers with auto-restart, and multi-channel (web, Telegram, API) with shared context. MIT licensed. No telemetry phoning home, but full observability built in (OpenTelemetry, Prometheus). I've included 1-click deploys on DigitalOcean and Fly.io, but since a Docker image is provided you can easily run it on your own servers as well. I've written before about owning your content ( https://ift.tt/U1O8uR2 ) and owning your email ( https://ift.tt/k6zLqY0 ). Same logic here: if something touches your files, credentials, and daily workflow, you should be able to inspect it, audit it, and fork it if the project changes direction. It's alpha. I use it daily and I'm shipping because it's useful, not because it's done. Longer architecture deep-dive: https://ift.tt/WbAof4D... Happy to discuss the Rust architecture, security model, or local LLM setup. Would love feedback. https://www.moltis.org February 12, 2026 at 11:15PM