ANML
Show HN: ANML – A machine-first markup language for the agentic web (IETF Draft)
A satirical idle game about running an AI startup
I made an idle/clicker about running an AI startup. You start with a cat-vs-dog classifier and try to make it to AGI, but the NYT sues you for training data, Yann tweets that scaling is dead, and your fired ML engineer leaks the Slack.
Continue? Y/N: A 60-second game about AI agent permission fatigue
Show HN: Continue? Y/N: A 60-second game about AI agent permission fatigue
I made a Gemma 4 Mac app that names screenshots with local AI
I made my first macOS utility app that ships with a bundled Gemma 4 model, specifically the Gemma E4B one. It made my app DMG have 5.3 GB in size, but I think it is a small size for the power that this free local model can provide. It runs fine on CPU, but can also run on Apple Silicon GPU, although I did not notice any performance improvements with GPU (tested on a M5 chip). I think these local lightweight and multimodal models will open multiple possibilities for new software tools where privacy is essential.
Build Your Own AI Agent CLI in 150 Lines
I can't tell if HN is the right kind of place for this stuff anymore since people are so advanced in their use but I thought it was interesting to leverage my existing Go microservices framework and turn it into the core of what would provide tools for an agent cli or whatever beyond that. Extensibility is key. Thought I'd share and get a conversation going.
Wikigraph
Hi! This is a visualization I've always wanted but never quite found. It's a navigable map of the Wikipedia link graph structure, with search and shortest-path finding. Offline, I parsed the May 2026 English Wikipedia full-text dump into a directed graph, used cuGraph on a GPU to run PageRank, Leiden clustering, and ForceAtlas2 for the layout. I did some post processing to get rid of lingering overlapping nodes and rendered a tiled map of raster base images (using Skia) and JSON metadata. Tiles are bundled into PMTiles. The frontend is Deck.gl. Everything is hosted on Cloudflare. Search and shortest-path are served by a Rust backend in CF Containers which uses Tantivy and bidirectional BFS. Happy to answer any questions!
I built an on-chain economy where AI agents transact autonomously
Show HN: I built an on-chain economy where AI agents transact autonomously
A searchable archive of declassified UAP/UFO files, news, and analysis
Hey HN! Y’all are great. It is so fun to build things these days. I wanna show off this archive that I conjured to run at home for consuming the recently releases of UFO files from the US government. This started as a Mac Mini-hosted project that I executed with my OpenClaw over Discord. After showing this to a few friends, I decided to get it online and find a catchy domain. Cloudflare was the perfect hosting choice. There’s a lot of bonkers things out there going on, so I added human curated “Signals” - news, analysis and discussion of UFO and adjacent news. The backlog of signals was informed by the links shared between myself and my first tech boss. We have both seen things that these files help confirm. As part of a reason to bring people back, I asked my assistant to do some digging into the data and come up with “Insights”, a dedicated section on the site that includes the responsible LLM in the byline. There a media pipeline for these insights using Remotion to generate social-media ready videos that I can upload to TT, IG, and YouTube. I built this for fun. Mostly with Ollama-powered GLM 5.1. Runs on Cloudflare Workers, D1, R2. Keyboard navigation within the doc viewer is blazing fast. OpenClaw is my CMS. Eventually, I hope to find some passive revenue through ethical ads if I get enough traffic. I think there is an audience for this. Right now, this is helpful with sharing the WTFs (and psyops) of the world with friends. Hit me up with questions! Stay rad, HN!
Uruky (EU-based Kagi alternative) now has Image Search and URL Rewrites
You can get a 2h free trial by solving a proof-of-work captcha when topping up your account for the first time. If you'd like to learn more, an independent interview was posted a couple of weeks ago [1], and the FAQ [2] has a lot of information as well. For the source code sharing, we've talked with lawyers and are inclined to no longer require the NDA/NCC for privacy reasons shared with us before (signing requires identification), but instead use a source-available permissive license that doesn't allow competition, like PolyForm Shield [3] (we do still have about 6 months before finalising a decision, here). This does come with a lot more risks for us (it's harder to track down if someone publishes the code or uses it against the license), but given we've already passed 100 monthly active accounts, we're feeling more confident it's an acceptable risk. The plan is to give logged in accounts (who are 12 months old or more) a way to download a ZIP of the current code base that's in the server. Obviously there's no easy way to prove that's the case, but we're open to ideas/suggestions if someone here has them. [1]: https://theprivacydad.com/interview-with-the-engineer-of-uru... [2]: https://uruky.com/faq [3]: https://polyformproject.org/licenses/shield/1.0.0
DomainTasker
Show HN: DomainTasker – avoid losing domains and surprise renewals
Rayline routes Claude Code subagents to on-device and cheaper models
Hi HN, I’m one of the builders of Rayline. Rayline is a Claude Code compatible LLM gateway. It intercepts and overrides claude code’s internal routing and lets you route subagent calls to different models instead. For example, you can run the main agent on Opus, some subagents on cloud-hosted open models, and other subagents on-device. We’ve seen others implement routing for claude code as tools the agent can invoke. In our experience, that doesn’t work well because it requires the main agent to use tokens to think about + call the tools, and LLMs are generally a very inefficient way to make routing decisions. By implementing Rayline as a gateway, we let users deterministically configure routing decisions, and you can optionally use our ML model to make routing decisions. We built it after noticing that Claude Code sessions contain a lot of subagent calls that don’t all need the same model. Other routers exist, but we built Rayline to let us continue using claude code (no separate harness), route tasks at a subagent level, and route across cloud and on-device. The main agent often benefits from Opus. But many delegated calls have narrow scope: search the repo, summarize context, inspect an error, poll for CI updates, etc. The thing we’re exploring is subagent-level routing. The main cost lever in coding agents is usually cached vs non-cached input. Subagent delegations are a natural point to make routing decisions because you avoid busting cache. We look at the message-thread context for a delegated call and choose a model for that call. At a task level, Sonnet and Haiku are almost always less capability-per-dollar than open models, so the main advantage is better + (much) cheaper subagents (60-90% in our private beta). The whole world seems to have started talking about model routing in the past two weeks, so apparently others agree it’s a relevant product area. We’d love to get feedback from the HN community!
A Highly Available Distributed Router for Global Realtime AI
Show HN: A Highly Available Distributed Router for Global Realtime AI