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https://www.getlago.com/hiring

We're open-source, mainly use Ruby. Billing is interesting because it lays the ground for the monetization system of any company. Because we're heavily developer-focus, we fit very well with complex use cases for either infra companies and/or enteprises. Companies like Groq, Mistral, CoreWeave or PayPal chose Lago.

We're now heavily investing in step 2: on leveraging the usage and billing data to make the RevOps stack make more sense. Examples: https://github.com/getlago/lago-agent-toolkit or https://www.getlago.com/platform/ai

If this resonates, reach out to talent@getlago.com (whether the job is listed or not)!

I built an open-source AI agent that has already indexed and can search the entire Epstein files, roughly 100M words of publicly released documents.

The goal was simple: make a large, messy corpus of PDFs and text files immediately searchable in a precise way, without relying on keyword search or bloated prompts.

What it does:

- The full dataset is already indexed - You can ask natural language questions - Answers are grounded and include direct references to source documents - Supports both exact text lookup and semantic search

Discussion around these files is often fragmented. This makes it possible to explore the primary sources directly and verify claims without manually digging through thousands of pages.

Happy to answer questions or go into technical details.

Code: https://github.com/nozomio-labs/nia-epstein-ai

It started as a way to write full-stack web apps in Swift without a separate frontend, but grew into a small language with control flow, functions, and async handling via HTML tags. The result is backend language-agnostic and can be generated from any server that can produce HTML via templates or DSLs.