skill-optimizer benchmarks, evaluates, and optimizes skills to check their performance across large language models.
Turbostream
Turbostream analyzes real time streaming data with large language models.

About Turbostream
Turbostream is an open-source Go backend for monitoring high-velocity data streams with large language model analysis. It serves REST APIs and WebSocket streaming, and supports bring-your-own-model setups across multiple LLM providers, including a local Ollama option.
Key features
- Go backend with REST APIs and WebSocket streaming
- Bring-your-own-model support for 7+ LLM providers, including local Ollama
- Feed marketplace to list, create and subscribe to data feeds
- Per-topic routing that isolates LLM analysis by topic, such as BTC-USD
- JWT authentication with TOTP two-factor and backup codes
- TSLN token format reported to reduce token usage by 40-60%
- Source is open on GitHub and runs from a single Go command
- Provider choice is configurable via environment variables rather than locked in
- Deployable via Docker or Railway, which auto-detects the included Dockerfile
- Requires a MongoDB connection string and an LLM provider API key to run
- WebSocket streaming cannot be fully tested in the browser API documentation
- Several walkthroughs, including the quick start and Railway guides, are marked coming soon
Turbostream at a glance
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Turbostream FAQ
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