Derek Collison retweetledi
Derek Collison
9.9K posts

Derek Collison
@derekcollison
Founder & CEO @synadia, creator of @nats_io and a bunch of other stuff. Past: Apcera, VMWare, Google, TIBCO, JHU/APL.
Miami FL, USA Katılım Mayıs 2007
1.6K Takip Edilen15.9K Takipçiler

@AracilRichard I’ll bite - why do you think this is an ad?
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@derekcollison What's deal with these posts that are actually unmarked ads?
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Almost everything about this article I wrote is no longer correct. Been working for several months on some new ideas and a design. I have one more good one left in me I think!
medium.com/hackernoon/wan…
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@p_mbanugo Medium may be behind a login wall these days? Should be free though..
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Derek Collison retweetledi

NATS Server v2.14 is here! 🥳
Check out the docs and the blog post to see all the amazing new features in this hard-working release!
nats.io/blog/nats-serv…
Derek Collison@derekcollison
The @synadia team is on a roll. Amazing work on the release of @nats_io server version 2.14. Congrats to the team! docs.nats.io/release-notes/…
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The @synadia team is on a roll. Amazing work on the release of @nats_io server version 2.14. Congrats to the team!
docs.nats.io/release-notes/…

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Derek Collison retweetledi
Derek Collison retweetledi

For the last three years, a startup in Bangalore has been obsessed with a pursuit that typically invites raised eyebrows, naked skepticism, and accusations of stealing from sci-fi:
@dognosis is training dogs to detect cancer.
And until you've spent time at their facility - a former pomegranate farm in the outskirts of Bangalore - perhaps skepticism is the rational response.
But Dognosis isn't betting on some pie-in-the-sky idea or some charming novelty act, they're betting on evolution.
@akadogluk and @Itamar_Bitan based their company on the fact that the dog's nose - a product of fifteen millennia of co-evolution with humans - can detect the faint chemical trace of cancer in your breath at a resolution that our machines, algorithms, and laboratory tests have never come close to matching.
We've known this fact for decades. We've consistently failed to do anything meaningful with that knowledge.
The missing link has been figuring out what the dog's nose knows, and applying it in a standardised, scalable, and clinically validated way.
Dognosis is building this missing piece of the equation i.e. the translation layer that allows the dog's nose to speak a language medicine can understand, enabling us to harness an ancient biological intelligence and plug it into our modern medical infrastructure.
Maybe you've read the paragraphs above and retained your skepticism. That's fair. But this past Friday, the Journal of Clinical Oncology - the world's most influential cancer journal - opted to make life much harder for the skeptics.
On Friday, the JCO published Dognosis' landmark study on breath-based multi-cancer detection - the largest of its kind ever conducted - showing that a team of trained dogs, equipped with sensors and AI, could detect multiple cancers from breath alone at 90%+ accuracy - including at Stage I, when it matters most - for $2 a test.
According to Akash, it proved "that everything we’ve known about the dogs is true".
Needless to say, it's a genuine milestone for Indian healthcare, health-tech, deep-tech, and, uh, dog-tech, that deserves far more attention than it's gotten so far.
To help change that, we were lucky to have Akash stop by the Tigerfeathers editorial desk this past week to unpack the Dognosis journey - helping us understand what they're building, how they're doing it, why it matters, and what comes next.
From where we're sitting, Dognosis is an n-of-1 Indian startup with an n-of-1 story that everyone in the Indian tech ecosystem should be aware of. If you've been intrigued by what you've read so far and you're keen to go deeper, dive into our piece here👇
tigerfeathers.in/p/dognosis-unl…
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Derek Collison retweetledi

@derekcollison @nats_io @synadia Telemetry just shifts the bottleneck to analysis. You need signal filters, not more endpoints.
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Over the years @nats_io systems have grown in complexity by leaps and bounds. The system is observable to a fault and produces a ton of information about what is going on, but very few people know about everything that is available. So proud of the @synadia team delivering insights. A wealth of information and data that can be accessed via UI, API and your AI agents.
Synadia@synadia
@NATS_io has a particular adoption curve. Someone introduces it for one use case, it just works, and within a year or two it's threaded through half the systems in the company. This is great! Until it's not.
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Derek Collison retweetledi

But it's not just big household names.
AI Startups and scale-ups like @steeldotdev, @inference_net, @browserbase, and @replit also build with NATS.
If you're building AI systems, NATS is the coordination layer

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Derek Collison retweetledi

⚡️Zig: Cloudflare wrote their Git implementation for Workers in Zig.
Because it had to be compact, as complete as possible, extensible with features like notes and LFS, efficient, and compilable to WebAssembly.
#zig #ziglang
Cloudflare@Cloudflare
We’ve just launched Artifacts: Git-compatible versioned storage built for agents. cfl.re/4cJqd1n
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