Show HN: Modelence – Supabase for MongoDB (opens in new tab)

I agree - Postgres has been on the rise for the past years, but I think the reason for MongoDB going down in popularity is not reflective of its own progress - MongoDB has only been technically getting better and they’ve recently bought Voyage AI which is now bringing built-in embeddings with MongoDB Atlas vector search.

The previous startup I’ve co-founded has been running on MongoDB since 2014 and everything was great for over 10 years of using it as our main db, hosting over million users and large enterprise customers.

A lot of this is obviously subjective, but we’ve always found MongoDB’s flexibility work great for a startup’s constant db changes. And we also believe that the existence of “Supabase for MongoDB” will be a good reason for more people to use it.

Seeing a comment like this framed with authority but with significant conceptual errors is concerning.

First of all Elastic/OpenSearch is not a database in the traditional sense of the word... it's not built for durability, consistency, or transactional capabilities. To hear it even described as a database is a little bit concerning.

Meanwhile MongoDB has integrated lucene into the product's distributed system to bring search on top of the ACID capabilities it offers out of the box.

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.

Yup - it’s work in progress! We will be adding both shortly.

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.

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.

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.