Show HN: Modelence – Supabase for MongoDB
github.comHi all, Aram and Eduard here - authors of Modelence (https://github.com/modelence/modelence), an all-in-one backend platform for teams that love TypeScript + MongoDB. Think Supabase, but for MongoDB: auth, cron jobs, email, monitoring, without glue code before you can ship.
As Karpathy (and many of us) noted, getting from prototype to production is mostly painful integration work. The pieces exist, but stitching them together reliably is the hard part: https://x.com/karpathy/status/1905051558783418370. YC AI Startup School talk about this - https://www.youtube.com/watch?feature=shared&t=1940&v=LCEmiR...
We intend to fill those gaps! What you get out of the box:
- Authentication / user management
- Database
- Email integration (3rd party, but things like user verification emails work out of the box)
- AI integration
- Cron jobs
- Monitoring / Telemetry
- Configs & secrets
- Analytics (coming soon)
- File uploads (coming soon)
How it runs: A Node.js backend with MongoDB. It's frontend-agnostic, so you can use our minimal Vite + React starter or drop Modelence behind an existing Next.js (or any) frontend.
We're also building a managed cloud, similar to what Vercel is for Next.js, except Modelence focuses on the backend instead of the frontend (Vercel is great for content sites like landing pages, blogs, etc, but things like persistent connections and complex backend logic outgrow it quickly). You can find a quick demo here: https://www.youtube.com/watch?v=S4f22FyPpI8
We're looking for early users (especially TS teams on MongoDB). Tell us what's missing, what's confusing, and what you'd want before trusting this in prod. Happy to answer anything!
The intro says the product is “AI-native”, but I couldn’t find any details about this in the docs. What does it mean?
If you check our landing page, we have a section where we explain that a bit: https://modelence.com
One of the AI-native aspects is if you use the built-in AI SDK (https://github.com/modelence/modelence/tree/main/packages/ai), you get all your AI prompt runs in the built-in dashboard in Modelence Cloud and you can also connect your AI provider (e.g. OpenAI) in the dashboard without having to manually specify the key in the code or pass through environment variables.
But there's more we adding soon - vector search and embeddings that are built into your database / MongoDB documents.
Looks cool, good luck with the launch!
A well designed login component to go along with this might do wonders for the adoption.
Thanks! We do have the auth components here - https://github.com/modelence/modelence/tree/main/packages/au...
Probably need to add screenshots also, but our own platform at https://cloud.modelence.com uses these built-in auth UI from Modelence and a lot of other things it is bootstrapped with.
looking at the examples, it looks more like a Rails alternative?
Rails for Ruby is similar with the simplicity and structure (same idea here for TypeScript), but Modelence is more cloud-first focused and less of a pure framework.
Does this have a live layer? Would be a miss if not
Do you mean real-time data / live sync? It is actually the next thing we're going to release, so yes - it is definitely a core part. We took our inspiration from https://meteor.com and it had a big emphasis on live data which we're going to support in a more scalable way.