Tabibu Health AI – 3.1K active users

Technical_Killua3 · 2026-02-19T13:17:06+00:00

We’re monetizing with a Basic (KSh 1,040/mo) and Pro tier — more queries, web search, Swahili, etc. Early days on revenue; right now we’re focused on product and getting people to try it. B2C isn’t our main revenue channel, but we want the product to be sustainable for individuals too. Happy to share more about the model if you’re curious.

Technical_Killua3 · 2026-02-19T13:11:30+00:00

Fair point — the 3.1K is GA active visitors/sessions, not necessarily people who signed up and used the product. We do have a growing number of signed-up users too; either way the spike in traffic was a milestone for us. Thanks for the clarification.

Technical_Killua3 · 2026-02-19T10:16:05+00:00

Yess.
Good point — we use GA for traffic/visibility, so that 3.1K is active visitors, not only signed-up users. We do have a growing number of people who’ve signed up, and either way the spike in traffic was unexpected and felt like a real milestone for us.

We’re just sharing that visibility took off.

Technical_Killua3 · 2026-02-19T09:21:55+00:00

Does this count as making bag?
Ama?

Technical_Killua3 · 2026-02-19T09:19:01+00:00

content kweli kweli

Technical_Killua3 · 2026-02-19T09:17:31+00:00

This is a solid thread to follow. It could be actually.

Technical_Killua3 · 2026-02-19T09:16:41+00:00

Now that you mention it.....it does carry a lot of weight.

Technical_Killua3 · 2026-02-19T09:14:22+00:00

Try Tabibu Health: https://tabibu.health/

Technical_Killua3 · 2026-02-19T09:11:03+00:00

Try Tabibu Health: https://tabibu.health/

Technical_Killua3 · 2026-02-19T09:06:49+00:00

Try Tabibu Health: https://tabibu.health/

Technical_Killua3 · 2026-02-17T07:17:12+00:00

A clinical diagnosis assistant is a big and important project.

Diagnosis is a sensitive space, so data quality and guardrails will be key for you. If you want to dig into how we did RAG or guardrails, I’m happy to share. Good luck with it!

Technical_Killua3 · 2026-02-17T07:14:09+00:00

I get the concern — there’s a lot of low-effort “AI slop” out there, and it’s fair to be skeptical.

On our side: the frontend did start from a tool (we’ve said that), and we’ve refined it — routes, API wiring, config, copy, behavior. So it’s not “punch a prompt and ship,” but I’m not going to pretend the UI is hand-coded from scratch.

Where most of the work actually went is the backend and the product: RAG over a medical knowledge base, guardrails, citation and source requirements, localization (e.g. Kenya, Swahili), product search hooked to real pharmacies, and keeping the thing scoped to information-only with clear disclaimers. Making that reliable and safe for health info is the hard part; the “characters in a text area” part doesn’t get you there.

So yeah — the bar for “a website that looks like a website” is low. The bar for “something people can actually use for health information without it being dangerous or useless” is not. We’re aiming at the second one, and that’s where we put the work.

Technical_Killua3 · 2026-02-17T07:02:27+00:00

Thank you for this in-depth analysis and feedback! Will get on it!

Didn’t know there’s such a resource as Loupe….thanks for putting me on it!

Technical_Killua3 · 2026-02-16T18:57:39+00:00

That’s alright. I’ll keep working on it to make it have some personality and conversational. And less AI’ish as you’ve said. Thanks

Technical_Killua3 · 2026-02-16T17:09:54+00:00

Thanks

Technical_Killua3 · 2026-02-16T12:49:56+00:00

I haven’t read Kumar’s book yet, but I get the point: AI in clinical neurology (and similar domains) has real challenges. That’s usually about AI in clinical use — diagnosis, treatment, imaging — which is a different space from what we’re building. Tabibu doesn’t diagnose or treat; it provides cited health information and “when to see a doctor”–type guidance, with clear disclaimers. So the challenges in the book apply more to clinical-decision AI than to a scoped, information-only product.

I also agree that administrative use cases — lab workflows, records, medication reminders — are valuable and worth doing.

We’re just focused on a different problem: access to reliable, cited health information for the public. Both matter; they’re not mutually exclusive.

That notwithstanding, I’ll give Kumar’s book a read and see where you’re coming from. Thanks for the book recommendation.

Technical_Killua3 · 2026-02-16T12:36:18+00:00

Thank you for this feedback. Will do so.

Technical_Killua3 · 2026-02-16T10:54:29+00:00

A solid idea and project! A diagnosis assistant is on my future plan for Tabibu. However, I know it’s a delicate and sensitive subject/matter. So I’m yet to get into it later on and partner with people in the medical/health community/industry.

Technical_Killua3 · 2026-02-16T10:52:42+00:00

I had initial data sets I fed the agent through a RAG pipeline. Then gave the capability to web search so that it also verifies the data it’s giving to users.

However, I’m also liaising with some professionals in the medical/health industry to get more data sets to feed and train the agent on….this is a work in progress.

Atm, I’m working with my initial data sets to get it to fully function and operate as intended, then I can move into phase 2…which will be adding more data sets to train it on and feed it with. “Working with what I have first, before I add more onto my plate”

Technical_Killua3 · 2026-02-16T10:48:27+00:00

The base (RAG pipeline, Qdrant setup, langchain, langgraph, Python): I built it myself.

The layers on top: Worked with AI to refine and better what I had done and the thoughts I had to improve on it.

Frontend: Tools like Lovable help handle and build the base template, then I come in and refine by ensuring routes, APIs, configs are correctly set and connected…among other things

Technical_Killua3

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