Compress By Light Reach

AI is a commodity. Your bill should reflect that.

5 followers

AI is a commodity. Your bill should reflect that.

5 followers

Compress by LightReach cuts LLM costs by combining lossless prompt compression with intelligent model routing. Instead of just sending prompts to one provider, it compresses repeated context, chooses the cheapest model that still meets your quality target, and works through an OpenAI-compatible API. Teams also get visibility into savings, budgets, and usage by team or feature.

Free

Launch tags:Productivity•Developer Tools•Artificial Intelligence

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Render: Get up to $100K in startup creditsThe fastest way to launch and scale your startup in the cloud

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Maker

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We started by trying to cut our own LLM bill with prompt compression. What we learned is that the bigger lever is often model selection, so we built LightReach to do both: compress prompts and route requests to the best-value model using HLE-based quality controls. Now we’re bringing that into tools like Cursor and Claude Code so teams can understand and manage AI cost where usage actually happens. Our goal is simple: make LLM spend more visible, controllable, and efficient.

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8mo ago

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