Matt Green
mgreen.bsky.social
Matt Green
@mgreen.bsky.social
250 followers 440 following 83 posts
Data, Streaming, coding, (maybe) AI? building a real time streaming engine. https://www.denormalized.io/
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the amount of coffee I'm drinking why agents write my code is giving me the jitters
every time I write snippets it's a joy, every time I try to import a module, set up a new codebase, or host a project it's a terror
do people here still care about tech or we just focused on the tariff news too?
"builds character"
been getting into agents a lot more recently and I've been struggling to define just what they mean. Best I can come up with is LLMs + tool usage executing in a dynamic compute graph. Sound right?
One fun bit about this project was I was able to use the claude desktop app to write the docker/docker compose files without copy/pasting
Just published a new example of using the Denormalized Stream processing engine to compute real-time fraud features and sink to a Feast datastore - blog post coming out soon! github.com/feast-dev/fe...
GitHub - feast-dev/feast-denormalized-tutorial: Feast + Denormalized
Feast + Denormalized. Contribute to feast-dev/feast-denormalized-tutorial development by creating an account on GitHub.
github.com
I hear claude will write a mean operator for you
Open web-ui is building an open source llm ui— I’ve actually set this up and highly recommend!
I'm really surprised by this interaction, what did people think an open protocol meant?
definitely noticed this too
Posthog has a half-decent free tier
Finally got around to playing with @anthropic.com MCP protocol and it's very well done. Seems like a step in the right direction and I hope it continues to gain traction
anytime someone asks me how they should get started developing with LLMs
just dropped denormalized 0.0.10
- (fix): engine no longer panics when handling really late data
- (feat) default to using the kafka timestamp if no timestamp column is specified

pypi.org/project/deno...
denormalized
Embeddable stream processing engine
pypi.org
Merkle Trees are such a powerful data structure for distributed systems. They can allow you save a lot of bandwidth for the small cost of re-computing hashes of data. They also are what allow you to trust data retrieved from untrusted sources www.baeldung.com/cs/merkle-tr...
How Do Merkle Trees Work? | Baeldung on Computer Science
A quick and practical guide to Merkle trees.
www.baeldung.com
honestly thought "databs" was "data bull-shit"
agree, though sometimes models that are deployed are also useless (or worse, less than useless)
I've actually used this to great success when trying to log food. Take a picture of the menu -> select text description of food -> paste into food logging AI description box. Worked decently well for simply/medium complexity dishes