Posted by david927 1 day ago
Ask HN: What are you working on? (May 2026)
Since last month we’ve stabilized the search UI/UX and have 5 search providers you can choose from and sort as you prefer.
We entered May with over 50 paying customers and have recently launched Uruky Site Search [2] (for website owners, this effectively is our own search index and crawler, which we’ll be bringing into Uruky soon as another search provider option)!
Customers really enjoy the simple UI (search doesn’t require JavaScript) and search personalization (from choosing the providers to the domain boosting and exclusion). We also have hashbangs (like "!g", "!d", or “!e”) when something doesn’t quite give you what you’d expect, though.
You can see the main differences between Kagi, DuckDuckGo, Ecosia, etc. and Uruky in the footer (right side), but one huge difference is that with Uruky, after being a paying customer for 12 months, you get a copy of the source code!
Our main challenge right now is outreach because we want to do it ethically, and it’s hard to find communities or places to sponsor which are privacy-focused and don’t require €5k+ deals. Ideas are welcome! We’ve been sponsoring a project per month (Qubes OS, The Tor Project, and Hister so far), with our limited budget of ~$100 / month.
Because of bots and abuse there isn’t a free trial easily available, but if you’re a human and you’d like to try it for a week for free, reach out with your account number and we’ll set that up!
Thanks.
One thing I can recommend right off the bat is Reddit - there's many privacy focused subreddits, and also you can share the whole project in EU related subreddits and e.g. r/SideProject.
Would love to try it for a week, this is my account number - 9772263817629091
Keep up the great work!
I've topped up that account number for a week, enjoy (I'd recommend removing it from the post because anyone will be able to use it)!
I'm working on <https://untether.watch>. Trying to shift 20-30 micro phone interactions to the wrist per day to ultimately reduce phone use. Dumbphones are too extreme - you need a smartphone for certain day-to-day activities (banking etc.)
The watch is a great form factor - it's got a crap screen (MIP), the ergonomics are awkward (rotate and look down), it has limited capabilities. But that's the point! Do essential quick actions and leave the phone out of site.
Requires Android companion app to do the heavy lifting. Use the (head)phone mic and STT to reply to any android notification and make notes. More features to come.
Garmin's SDK is seriously challenging. APIs are often broken across firmwares, limited developer tools and testing is tough.
No tracking, no analytics, no cloud uploads, no account. MIT licensed. Everything stays on your Mac.
I'm currently planning and designing a plugin system, so others can contribute new functionality without affecting the scope of BetterCapture itself - which should stay as small as possible.
I created the platform because I found myself rewriting the same parts of my prompts (or storing them in a text-file) all the time. Now, with a few simple clicks I can populate all the task-specific fluff (personas, constraints, tones, ...) around the actual task that I want the AI to complete.
The platform is open by default; with the purpose of letting users learn from prompts and building blocks that other users created and use. I don't have any users yet, because I want to complete the MCP and Claude Code Plugin before I start marketing my product.
Other things on the roadmap:
- Teams tier, where teams can privately share prompts and building blocks between them. Currently, your data is either private or public, no targeted sharing.
- LLM integration into the prompt builder to reduce prompt engineering friction even more. Instead of manually searching for, and selecting the building blocks you want to use, you would just start typing your task and let the platform decide what building blocks would best support your prompt. There is still a difference with letting an LLM completely generate the prompt, as we would be using existing building blocks that have real feedback from previous uses.
Let me know what you think!
* Tab Wrangler for Chrome: https://chromewebstore.google.com/detail/tab-wrangler/egnjhc...
Continuing to work on Tab Wrangler, an extension for both Chrome and Firefox that has been available and open source for 10+ years. It auto-closes tabs when they have not been active for a configurable amount of time, similar to the feature built into Mobile Safari but more configurable.
I have been maintaining it and in the past few months added features that had been requested for a long time.
Rundash (rundash.ai) - an easy way to create automated AI agents that can run tasks for you with over 1000+ integrations. Built this from my own needs to run better meetings, discover product insights etc..
Provision (provision.ai) - how I run a team of openclaw agents without burning money on Mac minis. Each agent is given a dedicated email inbox (powered by Mailboxkit) and a dedicated chrome browser that you can connect via browser to unblock if needed. Currently doing some pilots with a few startups. It's interesting to learn how teams want to use AI agents like OpenClaw.
[unnamed project] - a macOS menu-bar AI agent that drives your real apps similar to Perplexity Computer. Hit ⌘⌘, type a task (optionally @-mentioning apps like @slack), and an agent Claude Code or Codex; clicks, types, scrolls, switches apps, and reads the screen via accessibility APIs, with a visible cursor so you can watch it work. Everything runs locally on your own logged-in Mac (BYOK to Anthropic/OpenAI), so there’s no cloud VM or re-auth flow. It also snapshots the frontmost app for ambient context ("summarize this page" just works) and supports parallel tasks with persistent history/workspaces. Pre-release, but the core bet is that desktop agents should feel like a teammate living in your menu bar, not a browser tab or rented remote computer.
Launching for Postgres very soon (currently working on Supabase-optimal deployment). Continuing with Oracle, SQL Server, MySQL in the coming months.
Our superpower is a very fast parser with full static analysis engine. This enables not only blocking of destructive queries but also deep SQL rewrite for PII masking in real-time. It also means better syntax error messages which allow AI agents to adjust their SQL queries automatically.
Full workflow (parsing + static analysis + SQL rewriting + logging) takes less than 1ms.