Netflix wiz creates app to slash AI bills, then open sources it
Tejas Chopra, a senior engineer at Netflix, has developed an open-source application called Project Headroom to reduce AI usage costs. The software has reportedly saved users around $700,000 by optimizing token usage before they reach large language models. Since its release in January, Headroom has gained popularity, amassing 2,000 stars on GitHub and being forked over 120 times.
- ▪Project Headroom was created to help reduce AI bills by pruning redundant tokens before they reach large language models.
- ▪Chopra estimates that up to 90% of tokens used can be redundant, leading to significant cost savings.
- ▪The application has saved users an estimated $700,000 and has been adopted by several teams at Netflix and external projects.
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| Original publisher | www.theregister.com - Articles |
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| Publication time | Sun, 31 May 2026 09:00:00 +0200 |
| Retrieval time | 2026-05-31T07:01:28.381Z |
| Last seen | 2026-05-31T07:48:30.796Z |
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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
(function() { let windowUrl = window.location.href; windowUrl = windowUrl.substring(windowUrl.indexOf('?') + 1); let messageElement = document.querySelector('.shareableMessage'); if (windowUrl && windowUrl.includes('code') && windowUrl.includes('expires')) { messageElement.style.display = 'block'; } })(); AI + ML Netflix wiz creates app to slash AI bills, then open sources it Project Headroom could save you big money, too Joab Jackson Joab Jackson Published sun 31 May 2026 // 08:00 UTC As the COOs from both Uber and Microsoft recently learned, encouraging company engineers to use AI aggressively can lead to hefty usage bills, perhaps even offsetting all the gains from laying off employees.
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