Signals by Clairevue

I built Signals by Clairevue because keeping up with AI was starting to feel like a second job. Useful announcements were scattered across social feeds, mixed with repeated takes and posts that had little relevance to what I was interested in.

I wanted a simpler way to discover developments worth exploring - and get back to the original sources.

Signals brings AI funding, product launches, hiring, events and research into a curated, regularly updated feed. You can narrow it by topic, language, country or source, whether you’re looking for a local workshop, following a particular area of AI, or exploring what companies are building.

But filters only get you so far: sometimes you know what you need without knowing which words an author used to describe it. That’s why I added Jev-powered semantic search. You can describe your interests in plain language, and search evaluates recent posts within your selected filters for relevance.

I deliberately kept the experience focused on discovery: it returns posts you can inspect and follow, rather than replacing them with a generated answer.

For people who prefer their own reading tools, Signals also offers RSS, Atom and JSON feeds. It’s a small product built around a practical frustration: finding useful AI information shouldn’t require endless scrolling or checking every source separately.

Our goal is to make that discovery more focused, so founders, small-business owners and curious builders can spend less time searching and more time deciding what deserves their attention.