#186
B
Rank #182
OpenPipe
A platform for capturing LLM production data and fine-tuning smaller, cheaper models to replace expensive frontier-model calls. Its standout trait is treating fine-tuning as a continuous data pipeline rather than a one-off training job.
62.0
/ 100
⚙ Full Stack
Next.js/TypeScript app with a Postgres database for storing captured LLM request/response pairs and fine-tuning job metadata, plus Python workers that call out to external training providers.
📈 Scaling Analysis
The capture/logging path scales fine horizontally since writes are simple inserts to Postgres, but actual fine-tuning throughput is bounded by external provider API limits, not by OpenPipe's own architecture.
🚀 Running on Nexlayer
Deploy as app pod + `postgres.pod:5432`; the fine-tuning workers can run as a separate pod communicating over the same Postgres instance. Since it forwards data to external LLM training providers by design, plan for outbound network egress and API-key secrets management rather than expecting a fully self-contained pipeline.