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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

AS

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!

IB

I built an on-chain economy where AI agents transact autonomously

Show HN: I built an on-chain economy where AI agents transact autonomously

WI

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!

BY

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.

IM

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.

CY

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

AS

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.

AN

ANML

Show HN: ANML – A machine-first markup language for the agentic web (IETF Draft)

AT

AI that interviews participants instead of holding another meeting

Show HN: AI that interviews participants instead of holding another meeting

TA

The AI Quant Desk for Onchain Finance

Most Web3 tools only track basic balances and approximate wallet data. Raster brings TradFi accounting rigor to DeFi through a unified Truth, Risk, and Decision Intelligence framework. Our proprietary attribution engine reconstructs a fully auditable state from raw blockchain activity to deliver deterministic PnL (Truth). We calculate deep, real-time portfolio risk signals (Risk) to power our governed AI Decision Intelligence, built specifically for deep analysis and institutional workflows.

AN

Andonlabs

Hey HN! I'm Lukas from Andon Labs. We let AIs run companies without humans in the loop and report to the public on what can go wrong. Previously, we've done experiments in retail (vending machines, stores, and cafes), but we just launched one in the media sector. We gave four AI agents all the tools they need to both broadcast radio shows live and handle all the business side of running a media company. The agents' revenue is so far terrible (you can try to strike a sponsor deal with them if you want!), but their shows are at times hilarious. You can listen to them at andon.fm, I hope you enjoy this!