Hey Product Hunt community!

I'm Danilo, based in Montenegro which might make me one of the few founders here from the Western Balkans.

I've spent the last few months deep in AI tool testing rabbit holes. Not the big models everyone talks about the smaller, specific tools that actually change how work gets done day to day.

That obsession turned into ToolSignal, which I launched here today.

Hey everyone,

I made this extension for myself because long chats in ChatGPT and Gemini kept getting slow and annoying to work with.

At first I just wanted to make long AI chats easier to handle, but then I added export too, because I often need to move information from one chat to another or save useful chats somewhere else.

Now it can:

Hey all - we're pretty happy with our first launch of Handle over the weekend. There will be many more to come! We're iterating on the product as quickly as Chrome Web Store approvals allow . We have a pretty action-packed roadmap (voice mode, anyone?), but the #1 thing that would help us build is your feedback.

Give it a spin: https://gethandle.ai/

Tell us what you'd like us to build: https://github.com/tonkotsu-ai/h...

Hey makers!

Lately, I ve been looking closely at how independent builders and small teams are managing AI knowledge bases. It feels like the default "industry standard" is to immediately reach for a complex RAG pipeline and a heavy, paid Vector Database.

But I'm starting to wonder if we are over-engineering this for 90% of standard use cases.

Vector DBs are incredibly powerful for massive scale, but for smaller or non-massive datasets, they can be expensive, complex to query, and act as complete black boxes. If a search returns a weird chunk, diagnosing it is often a nightmare.