Show HN: Wg-admin – web UI for an existing WireGuard host https://ift.tt/XliDKUj

Show HN: Wg-admin – web UI for an existing WireGuard host Reads /etc/wireguard, lets you add/edit/remove peers, applies with wg syncconf (no interface bounce). Does not install WireGuard or rewrite your PostUp/NAT. That's all https://ift.tt/TWJGCsc September 7, 2026 at 11:43PM

Show HN: PixelDraw – simple drawing software for web(WASM) and desktop https://ift.tt/KSL3Aak

Show HN: PixelDraw – simple drawing software for web(WASM) and desktop https://ift.tt/Mdx2GCt September 6, 2026 at 10:53PM

Show HN: HexBOTs – a cellular automaton with robotic lawnmowers https://ift.tt/tRwO1CS

Show HN: HexBOTs – a cellular automaton with robotic lawnmowers Double-click or press N to start a new experiment. I built hexBOTs, an unusual cellular automaton based on deterministic robots. The robots behave a bit like robotic lawnmowers, moving through their environment and reacting according to their individual rules. The robots themselves are fully deterministic — no random functions are used while they are running. What makes them different is their “genetics”: each robot's behavior is defined by a randomly generated genome, which allows for an enormous number of different robot types. Randomness creates the robots, but it doesn't drive them. Once an experiment starts, everything follows deterministically from the generated genomes and the initial state. What fascinates me is the complexity that emerges from these relatively simple machines interacting with each other and their environment. Controls: B — enable/disable robots (also: hold mouse/finger down) R — restart N — new experiment (also: mouse/finger double-click) D — save as picture I — show information / controls https://hexbot-genesis.netlify.app/ September 7, 2026 at 02:56AM

Show HN: Merge Wikipedia articles across languages into one page https://ift.tt/n46jNpL

Show HN: Merge Wikipedia articles across languages into one page https://ift.tt/6amlvO5 September 6, 2026 at 03:48AM

Show HN: Amaze Kings – a browser logic puzzle with 1,400 hand-graded levels https://ift.tt/JWF3oqv

Show HN: Amaze Kings – a browser logic puzzle with 1,400 hand-graded levels https://ift.tt/ZHJEMqx September 5, 2026 at 11:21PM

Show HN: HyperCard to HTML Converter https://ift.tt/UeQ6gPx

Show HN: HyperCard to HTML Converter I created a converter that turns HyperCard 2.x stacks into standalone HTML so they can run in a modern browser. I built it to share my own stacks from the early '90s, which have been sitting on old floppy images for 30 years. It's MIT-licensed and I'd welcome contributions - especially stacks that break the converter, since I've only tested it against my own. If you have old HyperCard files lying around, I'd love to hear how they fare. https://ift.tt/FytiTmh September 5, 2026 at 11:11PM

Show HN: Local Mitsubishi AC Control with ESPHome and an AtomS3 Lite https://ift.tt/QmDHEbP

Show HN: Local Mitsubishi AC Control with ESPHome and an AtomS3 Lite I connected my Mitsubishi split air conditioners directly to Home Assistant over CN105 using an AtomS3 Lite and ESPHome, avoiding MELCloud entirely. https://ift.tt/gWArv1z September 5, 2026 at 12:30AM

Show HN: TERMy – A fast terminal assistant that does not use LLMs https://ift.tt/dgeyGjs

Show HN: TERMy – A fast terminal assistant that does not use LLMs I love research and development, you may have heard of me because of PJON (Padded Jittering Operative Network). It is a network protocol I started developing in 2010, which was recently implemented in silicon by the ETH Zurich university thanks to the research of Pius Sieber. I am excited to share with you TERMy, a terminal assistant built on top of the NPC-Forge framework. Unlike everything else being built today, TERMy does not use embeddings, machine-learning or LLMs. It runs on the CPU (even on a Raspberry Pi Zero) both in the terminal or client-side in a browser tab and responds in milliseconds. It is a cynical but very knowledgeable Linux terminal assistant that translates your natural language into shell commands without relying on a single artificial neuron. I had a chance to focus for 2 months on my personal projects since early July, during the strange times of AI price hikes and the end of subsidized tokenmaxing. I was curious to see if I could develop from scratch a terminal assistant capable of handling simple natural language requests. I have a bad memory and got used to ask to copilot "activate the virtual environment" or similar trivial operations spending a non negligible sum every month. I started thinking, maybe I can do something to make my workflow more efficient? Do I really need trillions of parameters to accomplish those tasks? How it Works When you type a prompt, it goes through a lightweight NLU pipeline written in ~1000 lines of Python that implement the following steps: 1. Strip expletives, interjections, encouraging, discouraging and thanking words (remove noise) 2. Sentiment analysis 3. Exact Match (very fast) 4. Template Match (slower) 5. Probabilistic Match (even slower) Step 5 relies on: 1. IDF (Inverse Document Frequency) to identify rare words. 2. BOW (Bag Of Words) to accommodate word inversions. 3. IDF weighted Levenshtein to safely handle typos. Permission gating is hardcoded into the dataset and enforced for all potentially destructive commands, so it's inherently safer than letting an unpredictable LLM run wild on your machine. - TERMy in operation: https://www.youtube.com/watch?v=qeIp0xePLBg - Variance and typo tolerance: https://www.youtube.com/watch?v=tQvGDk6fkk0 - Copilot integration: https://www.youtube.com/watch?v=Wzzouhq2a8A - Advanced features: https://www.youtube.com/watch?v=qeIp0xePLBg - Source Code: https://ift.tt/APTj98N https://ift.tt/sFZx20y September 4, 2026 at 04:03PM

Show HN: Radia – agent coordination with leases, permissions and provenance https://ift.tt/g6Qq9VO

Show HN: Radia – agent coordination with leases, permissions and provenance https://radia.sh/ September 3, 2026 at 11:59PM

Show HN: I built an app that makes your goals inevitable https://ift.tt/pbrAOja

Show HN: I built an app that makes your goals inevitable https://ift.tt/wN0KlAV September 3, 2026 at 11:55PM

Show HN: A Context Registry for AI coding agents https://ift.tt/YM3Rw6D

Show HN: A Context Registry for AI coding agents Hi HN. We built an API context registry to help coding agents (like Claude Code) generate production-ready API integration code without blowing through token limits. We build a lot of API integrations. In our experience, most coding agents write basic client calls fine, but consistently stumble on details that make code shippable, like idempotent retries, rate-limiting and Auth token management. We tried all the existing approaches of injecting context into coding sessions: - Markdown dumps delivered via MCP (think Context7 or Mintlify Docs MCP) - API behaviour described in prose using AGENTS.md and skills. - OpenAPI specs However, all of them left the same production-readiness gaps. So we came up with our own approach that combines prose with typed SDK reference code into a "Context Plugin". You install the plugin into your coding agent and it automatically injects language-specific context whenever the agent works on an API. Across our benchmarks, Context Plugins boosted one-shot production readiness by up to 34%, allowing Sonnet to match or beat baseline Opus on the same integration tasks. You can read more about our experiments here https://ift.tt/YNewklD... We have published Context Plugins for 24 APIs for the community to try out, including Slack, Google Maps, and Notion. We'd love for you to give them a go and share your feedback on our plugins as well as our evaluation methodology. https://ift.tt/PrA5nMG September 3, 2026 at 11:00PM

Show HN: Kekoso – On-device dictation and transcription for macOS https://ift.tt/pxkwd9l

Show HN: Kekoso – On-device dictation and transcription for macOS https://kekoso.app/ September 2, 2026 at 11:51PM

Show HN: Skatanica – Browse and share skate clips by location https://ift.tt/0kud52K

Show HN: Skatanica – Browse and share skate clips by location https://skatanica.com (no login or download required) I love Dern Bros skate spot history videos, and wanted to see 1.) places my favorite skaters have skated 2.) which skaters had skated my favorite places 3.) find new skaters and new places 4.) have an easy way to just watch clips 5.) have an easy place to document tricks I/people have done anywhere Some examples: 1.) Clips from Dominick Walker: https://ift.tt/reO4UIs 2.) Skaters at Santa Monica Triple Set: https://ift.tt/2PF81A5 3.) Find some spots/clips from spots in [Southern California]( https://ift.tt/nCHAPBt ) , or [Southeast Asia]( https://ift.tt/I6hXloS ) --- Contributing as a Curator: If you like this, and you want to go beyond just sharing a clip here or there, I've built a ton of curator tools specifically for quickly chopping up long videos into clips and labeling the tricks/publishing directly to platform. Message me or comment and I can give you more info/get you set up. https://ift.tt/ceu64CD September 2, 2026 at 11:33PM