Headroom has crossed 2.1k #github stars in 3 months.
https://t.co/jQ48cETY8v
#token compression is a real opportunity for enterprises, and Headroom, is the only oss platform that has its own model for compression (along with #rtk, #serenamcp#leanctx installed)
In 3 months:
- 35 contributors
- 1200+ PRs
- 250B+ tokens ‘saved’
- 1M$ worth of savings at current token prices
- Already being migrated to #Rust
- use cases in Voice and Image!
@AnthropicAI@GeminiApp@cursor_ai@OpenAI@claudeai
Based on what I see -
1. Claude code still wins on complex deep understanding, a holistic picture of the idea — this includes web search, research etc.
2. Codex is super fast AND super tactical - simple fixes - simple code generated
Headroom works with both and speeds them up even more!
Try it out: https://t.co/jQ48cETY8v
@OpenAI@claudeai@claude_code@AnthropicAI@bcherny
Layoff news on one end
Multi-million dollar payouts on the other end.
Billion-dollar rounds + IPOs.
Two major wars happening in the world.
All of this is happening in the same hour of the day.
At 19:00 hours UTC today, #Headroom saved 1.2B tokens IN AN HOUR!
Last week, we had our first day with 1B token savings, we're now saving that much in an HOUR!
We've also crossed 25B tokens in the last 10 days overall - and at current token prices, that translates to 113k worth of savings.
If you still need more out of your #codex and #claudecode subscriptions, try out - https://t.co/jQ48cETY8v
- open source
- runs on your laptop
- works with all coding agents
- works with LangChain, Agno, AWS Strands
Using #openclaw and running out of tokens on Claude? Spending a lot of money (and TIME!) on your workflows
#Headroom now supports #OpenClaw
- Open source
- Tokens saved > 50%
- Faster inference
- Local & private
https://t.co/gp8kRomoAf
Just a general session with #headroom
https://t.co/jQ48cETY8v
If you're worried about #token costs with #claudecode, #codex, #cursor, try this open source too.
Note: overhead of 512ms includes a 1 time initial overhead of getting `kompress` model from HuggingFace ;-)
@cursor_ai@claudeai@GeminiApp@OpenAI
Released Kompress-Base, and Kompress-Small https://t.co/FtXcwLyLeR
An alternative to #LLMLingua for token compression - for #unstructured data!
Open source :-) and a part of #Headroom (https://t.co/gp8kRomoAf)
Check out the results of running these on workloads!
Just started a Discord for #Headroom (https://t.co/jQ48cETY8v)
If you are looking at #tokenspend, and #context efficiencies - and want to try it out - join this discord channel - https://t.co/CbC81kS2G7
This will be the best thing you can use for your @claudeai, @antigravity, and @OpenAI coding sessions!
Upto 80% savings, inference speedup, and higher accuracy - all for free!
Bookmark this!
Willing to pay for a service that can:
- Given an amount tell me exact property to purchase - with out without loans at current rate
- should be rentable, consistent income flow, good neighborhood, upcoming developments around
- should be a simple Go / No Go
- should optionally manage the property at 8% per month
- i am willing to take a lesser rent - as long as i have guaranteed rent.
I am tired of trying the websites and exploring - I need it done for me!
Anyone? Anywhere?
Introducing Vitals: Codebase health scoring for Claude Code.
41% of code is now AI-generated. Refactoring has collapsed to under 10% of changes. Your codebase is accumulating debt faster than ever, and no tool tells you where it hurts most.
Vitals finds the files most likely to cause your next outage, ranked by ROI, not just complexity.
→ Churn × complexity × centrality = hotspots
→ Claude reads the worst files and diagnoses root causes
→ Silently tracks AI-generated edits over time
→ Zero dependencies. Just Python + git.
Not a linter. Not static analysis. So many other code health tools, but none check the vitals.
/vitals:scan — one command, instant diagnosis.
https://t.co/0jAAe98PhR
What's next?
→ how the vitals evolve with time
→ decay prediction!
@claudeai@bcherny
So many #token#compressors out there, and you need to use specific models they provide.
For most people, running it locally, seeing results directly, and doing it for free is crucial.
This is where Headroom fits in. If you use @claudeai, @GeminiApp, @cursor_ai, @OpenAI's Codex, @windsurf, or @zeddotdev—
You want instant cost savings, faster responses, no accuracy loss, and dead-simple DevEx.
Headroom is positioned as a Context Optimization Platform, not just a token compressor. Our vision is that the value per unit of context should be the highest! That is how AI becomes #sustainable
If anyone is interested in being a peer reviewer for an AI agents conference, please reach out to me - the conference is - https://t.co/xmeB3HW78m
It is an ACM Conference on AI and Agents, alongside the AI Engineer’s Fair
You can DM me or email: [email protected]