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Building a Multi-Service, Multi-Tenant Platform Powered by a Local LLM (No API Costs)

For the last few weeks, I’ve been experimenting with locally hosted LLMs and integrating them into small web apps. I built and tested a period tracker, a travel assistant, and a daily journal, all powered by local models — and they worked surprisingly well.

Now I’m taking the next step:

👉 I’m building a multi-service, multi-tenant web platform
👉 All AI calls go to a locally hosted LLM running on a separate server
👉 Users can access multiple tools inside one unified dashboard

The goal is simple:
One platform. Multiple AI utilities. Zero dependency on paid APIs.

Why bundle everything together?

Here’s the thought that pushed me into building this:

Why pay more when you can bring essential apps together in one place?

Instead of shipping one tool at a time, I’m combining multiple services into a single platform and letting the local LLM do all the computation.
This means:

No per-feature subscription

No extra costs for API usage

Full privacy (everything stays local)

Customizable per user / per tenant

Cheaper to run, easier to scale

I think this approach could solve a bigger problem:
People want AI tools, but not the heavy recurring costs or isolated apps.

Curious to see how the community sees this.

What I’m looking for:

Feedback on the architecture

Suggestions for new services to add

Thoughts on monetization for a local-LLM platform

Anyone interested in collaborating on the infrastructure

If this sounds interesting, I’d love to hear your ideas.
I’ll be posting updates as I make progress.

on November 18, 2025
Trending on Indie Hackers
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