kbrain_io

Your expertise is out there. It's just not accessible. Building the marketplace to fix that.

[kbrain_io @KBrain_io]

Your AI is only as smart as the context you give it.
Build the context layer first.

[kbrain_io @KBrain_io]

MCP makes products reachable by AI. KBrain’s bet: expert brains make that reach worth something.

[Smiko @smiko_builds]

A larger model still doesn't know what happened in yesterday's meeting.
The bottleneck isn't intelligence. It's access to the right information at the right moment.

https://t.co/AinegaEaFc

[Smiko @smiko_builds]

The first official review of Kbrain: I come back with plenty of ideas on how to improve it! https://t.co/FVIBGKLGJo provides you with the context for your prompts!

[kbrain_io @KBrain_io]

When building with AI, two things matter: the prompt and the context.

You can iterate on prompts forever, but finding the right context is the painful part. That’s where Kbrain helps: curated context built by experts, ready to power better outputs.

[Smiko @smiko_builds]

Trained a brain on 100 questions about how I think and write.
Now I can ask Claude and ChatGPT to write like me: in a chat, in Cowork, or via Claude code.
One brain. My voice. Cross AI. Any interface. Across all my devices.
Built on https://t.co/nWRtU9KVHC

[kbrain_io @KBrain_io]

One thing I’m learning building kbrain:

People don’t want “more AI”.

They want:
- less repetition
- better outputs
- trusted answers
- context that actually matters

[Smiko @smiko_builds]

Context switching is hard — whether it's your brain jumping between tasks or you jumping between ChatGPT, Claude, Codex.

What if your AIs just share the right context already?

[GitHub Projects Community @GithubProjects]

Nobody talks about this enough...

Karpathy’s Second Brain is great for Humans.

But for Agents, markdown memory compounds Token Cost, Slower Retrieval, Stale Context, and Write Inefficiencies as Memory grows.

This article breaks it down, and how Mercury solves it.

[kbrain_io @KBrain_io]

Creators have 1000+ pieces of content.

Nobody reads them.

Turn it into a brain → people query it with AI

That’s the shift.

[kbrain_io @KBrain_io]

“I want to rent my home in Paris to a student” 🇫🇷

Claude → generic
This brain → exact lease, constraints, taxes

Same AI.
Different knowledge.
https://t.co/Sp7gGmXDjA

[kbrain_io @KBrain_io]

AI is not the bottleneck anymore.

Knowledge is.

Same prompt.
Same model.

Different brain → completely different answer.

[kbrain_io @KBrain_io]

Someone turned their knowledge of French rentals 🇫🇷
into a brain you can query with AI

Same prompt:
“I want to rent my home in Paris to a student”

→ better than Claude

That’s monetizable expertise

https://t.co/Sp7gGmXDjA

[kbrain_io @KBrain_io]

Your content is already moldy

Old posts
Dead docs
Forgotten Notion pages

KBrain doesn’t create more
It makes it usable again

[kbrain_io @KBrain_io]

Hot take: most content creators don't have a distribution problem.

They have an extraction problem.

The knowledge is there. The audience just can't reach the specific part they need.

More content isn't the answer.

[kbrain_io @KBrain_io]

Hot take:

90% of your content is useless after 48h

KBrain is not about creating more
It’s about making it usable again

[kbrain_io @KBrain_io]

@KaiXCreator A great idea and a perfect execution!

[kbrain_io @KBrain_io]

A content library is an archive.

Your audience has a specific question — right now, in their specific context.

Those are two different products.

One of them actually helps.

[kbrain_io @KBrain_io]

I post on X.

Result: almost zero engagement.

Not because the product is bad.

Because distribution is everything.

Still figuring it out.

[kbrain_io @KBrain_io]

Just plugged real-world web designs into Kbrain.

Now you can query them directly in Claude via MCP.

No more generic UX answers — just grounded, real-world patterns.

https://t.co/KmesBP0rfx