"Ship production AI apps 10x faster with built-in auth, database and LLM integration"
TL;DR: You built the demo in a weekend. Now you need auth, a prod-grade database, real-time events, AI observability, cron jobs, email, monitoring… and you needed them yesterday. The team has spent a decade building platforms while scaling to millions of users and enterprise customers. Now they put that into an open-source framework, so others wouldn’t have to do the same from scratch.
Modelence is a batteries-included framework that abstracts away boilerplate so you can just focus on building your product logic and nothing else - it’s like Next.js + Vercel + Supabase on a single platform, built for full-stack TypeScript.
Shipping production apps is much harder than building a prototype that runs locally and 95% of all production apps share the same building blocks. They did a massive amount of work on their previous platforms that was not specific to their product, and they have created Modelence to abstract that away:
Startups that are shipping TypeScript production apps and want to focus on building their product without worrying about boilerplate, DevOps, infra and scaling.
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