If you want the exact pitch deck that got us in let me know.

Otherwise, here's the overview:

Hi, People I am the creator of Kyohansha. While creating it I was having only one thing in mind, that is to build a community of people who are into tech and just wanted to connect with more and more people. Today I have sent a mail to the registered users and waiting for the replies. If you are into tech lets connect and want everybody's feedback too...

Do leave a comment

Got many in my todos, wonder what u guys have in mind? what feature is missing? shoot a comment, I will build it!

We ve just released an update to the browser extension.

The extension now opens in the browsers side panel, which means it will no longer cover part of your search. The extension also remains open as you search, so feel free to switch between tabs and pages as you re doing your deep dives. Plus, we ve integrated Listen Mode into the extension. So now, you can listen to your content in that familiar voice you ve grown accustomed to over the past week!

Hey everyone

I ve updated the pricing to $3.

We thought we were ready.

Bigger deals. Fewer customers. Better margins. That was the dream.

So we built enterprise features. SSO. Advanced permissions. Audit logs. A whole new pricing tier starting at $2,000/month.

We spent 6 months. Three engineers. One dedicated product manager. Endless meetings about "enterprise readiness."

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.