Great teaching shouldn't be held back by outdated systems.
Across the world, teachers spend countless hours grading, organizing materials, and managing workflows that could be automated. Students, meanwhile, often study without guidance or clarity on how they're improving. We saw an opportunity to fix both sides of the learning experience — by building a platform that connects them.
Gradr brings teaching and studying into one unified flow, creating a shared space where progress becomes visible, feedback becomes actionable, and time is used where it matters most.
We run a TypeScript monorepo that powers an AI-driven education platform. We're obsessed with type safety, static analysis, and using LLMs to ship faster. If you don't believe AI can make you significantly more effective — this isn't the right place.
Table stakes:
- Comfortable in TypeScript. Generics, discriminated unions, type narrowing — not just aware of them.
- Real experience with PostgreSQL. You understand normalization and know that a well-designed schema is the foundation everything else builds on.
- You use LLMs as part of your actual workflow. Copilot, Cursor, agentic coding — whatever gets the job done.
- You care about correctness. We lean hard on strict TS, linting, static analysis, and CI so we can move fast without breaking things.
On top of that, you lean into at least one of these:
- LLM expert — You deeply understand how to build with language models. Prompt engineering, structured output, tool calling, evals. You push what's possible with AI in our product.
- Product-minded developer — You have strong design sense and product instincts. You can go from problem to shipped feature making good UX and scoping decisions along the way, not just executing specs.
- Leverage engine — You make the whole team faster. Better abstractions, better tooling, better CI pipelines, better linting rules. You're obsessed with automating correctness and multiplying developer output.
Day to day:
- Ship features across the full stack — SvelteKit frontend, Node backend, PostgreSQL.
- Work with LLMs daily. This is an AI company, not a company that bolted on an AI feature.
- Own problems end-to-end — from schema design to deployed feature.
- Write code that compiles clean. We'd rather catch bugs at build time than in production.
Stack:
Try Gradr with your own class!
Book a short demo – we'll show you how it works, you decide if it fits.
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