chopratejas
Headroom is a context optimization layer that compresses AI agent inputs (logs, tool outputs, files) by 60-95% to reduce costs and latency while preserving accuracy.
At a Glance
- AI Developers
- Enterprise Engineering Teams
- Startups
AI Tools by chopratejas
(1)
Headroom
LLM Context Compression Library
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Latest News
Tejas Chopra presents 'Headroom: A Context Optimization Layer' at Linux Foundation conference.
Headroom hits 25,000 stars on GitHub, becoming one of the fastest-growing AI developer tools.
The Register covers Headroom: 'Netflix wiz creates app to slash AI bills, then open sources it'.
Headroom releases support for Copilot Business subscription authentication.
Products & Services
A drop-in proxy and CLI tool that compresses tool outputs, logs, and RAG chunks before they reach the LLM.
Model Context Protocol (MCP) server for native integration with MCP clients like Claude Desktop.
Python and TypeScript library for inline context compression in AI applications.
Market Position
Local-first and reversible alternative to cloud-hosted compression services like Compresr and The Token Company.
Leadership
Founders
Tejas Chopra
Senior Software Engineer at Netflix (AI/ML and Data Storage Platform), TEDx speaker, co-founder of EnsolAI. Expert in storage systems and context optimization.
Executive Team
Tejas Chopra
Creator / Founder
Senior Engineer at Netflix, creator of Headroom, co-founder of EnsolAI.
Founding Story
Tejas Chopra noticed 90% of his Claude API bill was for useless tokens in redundant tool outputs and logs. He built Headroom to prune this noise locally before it reaches the LLM.
Business Model
Revenue Model
Open source (free) with Enterprise support and potential for hosted services (Headroom Labs).
Pricing Tiers
Local-first, self-hosted, full feature set.
Scale deployments, dedicated support via hello@headroomlabs.ai.
Target Markets
- AI Developers
- Enterprise Engineering Teams
- Startups
- AI Coding Agents
- SRE/Log Analysis
- RAG Optimization
- Reducing LLM Token Costs
- Users of Claude Code, Aider, and Cursor
- Individual AI developers