instantdb/instant

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Instant is the best backend for AI-coded apps. You get auth, permissions, storage, presence, and streams — everything you need to ship apps your users will love.
You write relational queries in the shape of the data you want and Instant handles all the data fetching, permission checking, and offline caching. When you change data, optimistic updates and rollbacks are handled for you as well. Plus, every query is multiplayer by default.
We also support ephemeral updates, like cursors, or who's online. Currently we have SDKs for Javascript, React, and React Native.
How does it look? Here's a barebones chat app in about 12 lines:
Want to see for yourself? try a demo in your browser.
Motivation
Writing modern apps is full of schleps. Most of the time you start with the server: stand up databases, caches, ORMs, and endpoints. Then you write client-side code: stores, selectors, mutators. Finally you paint a screen. If you add multiplayer you need to think about stateful servers, and if you support offline mode, you need to think about IndexedDB and transaction queues.
To make things worse, whenever you add a new feature, you go through the same song and dance over and over again: add models, write endpoints, stores, selectors, and finally the UI.
Could it be better?
In 2021, **we realized that most of the schleps we face as UI engineers are actually database problems in disguise.** (We got into greater detail in this essay)
If you had a database on the client, you wouldn't need to think about stores, selectors, endpoints, or local caches: just write queries. If these queries were multiplayer by default, you wouldn't have to worry about stateful servers. And if your database supported rollback, you'd get optimistic updates for free.
So we built Instant. Instant gives you a database you can use in the client, so you can focus on what’s important: building a great UX for your users, and doing it quickly.
Architectural Overview
Here's how Instant works at a high level:
Under the hood, we store all user data as triples in one big Postgres database. A multi-tenant setup lets us offer a free tier that never pauses.
A sync server written in Clojure talks to Postgres. We wrote a query engine that understands datalog and InstaQL, a relational language that looks a lot like GraphQL:
Taking inspiration from Asana’s WorldStore and Figma’s LiveGraph, we tail postgres’ WAL to detect novelty and invalidate relevant queries.