Jon Whitby

Jon Whitby

Marketing | No-code | Design
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Local API and Model Context Protocol (MCP) for Tana!

Hey Product Hunt
We just shipped something we ve wanted to build for a long time: a local API and Model Context Protocol (MCP) integration for Tana.
The short version:
 AI tools like Claude Code can now read, reason over, and write back to your actual Tana workspace including structured notes, outlines, prompts, and relationships instead of working on pasted text or one-off prompts.
Why we built this
Most AI workflows today look like this:

  • Copy something out of your notes

  • Paste it into a chat or terminal

  • Lose context

  • Start over next time

That s not how real work compounds.
Tana is designed as a permanent, structured thinking system. With the new API + MCP, AI tools can finally work inside that system instead of around it.
What this unlocks
A simple example we re excited about:

  • Capture a voice memo in Tana

  • Shape it into an outline using the editor

  • Let Claude Code turn that structured note into a slide deck

From Trickle.so to HappyCapy. we're rethinking what a "computer" means in the age of AI agents

Hey everyone,

Quick background: we're the team behind Trickle.so, where we help people build apps and websites with AI. We've been deep in the AI tooling space for a while now, and something kept bugging us.

Do feeds actually save you time, or just feel productive?

Every feed today claims to be better curated or more relevant.
But most of them still measure success by how long you stay.

I ve caught myself opening Twitter or YouTube to check one specific thing, then resurfacing 30 45 minutes later,

wondering where the time went.

Curious how this plays out for others here.
When you open a feed for a quick check, how long do you actually stay?
And does it usually feel worth it after?

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