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@mattpocockuk: The "X technique reduces tokens by Y%" fad is so old Can't believe people get taken in by this Ch...

The "X technique reduces tokens by Y%" fad is so old

Can't believe people get taken in by this

Charly Wargnier (@DataChaz)

UP TO 95% TOKEN REDUCTION WITH ZERO CODE CHANGES

A Netflix engineer just open-sourced Headroom, and it’s one of the smartest ways I’ve seen to cut LLM costs.

It wraps Cursor or Claude in a local proxy to compress your payload before it hits the LLM:

→ Intelligently shrinks logs, JSON, and code
→ Perfectly preserves logic accuracy
→ Keeps 100% of your data local
→ Stops Opus-tier models from wasting tokens on boilerplate

It already crossed 35K stars, which says a lot.

100% free and open-source.

repo in 🧵↓

— https://nitter.net/DataChaz/status/2067996575817945197#m