The data platform for machine learning
Joined September 2007
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Chalk retweeted
13 Jun 2025
A sign of powerful software is when you can replace multiple languages, frameworks, and repositories with one tool applying a clever abstraction, and doing so makes things simple, cheaper, and faster.
I can only think of one or two examples. Right now, I'm seeing this with Chalk as it replaces big parts of a pretty serious enterprise ETL pipeline.
(And no, I'm not affiliated with Chalk. Their software is just legitimately impressive.)
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We're thrilled to share that Kyle Koch has joined our LA office as VP of Account Management! Kyle brings over a decade of experience scaling customer success at hypergrowth companies. He's led global strategic customer programs at Databricks and helped scale Sprinklr to a $2B valuation.
We asked him a few questions to get to know him better:
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Q: What drew you to Chalk?
First, the technology. I think Chalk has a category-defining opportunity ahead of it, and thatโs an opportunity I relish.
Second, the stage. Iโm a builder at heart. Helping define how to deliver value at scale to Chalk customers and, in turn, enable them to deliver unprecedented value to their own customers, is exciting.
Third, the people. I do my best work when Iโm surrounded by kind, driven people who are smarter than me.
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Q: What's the last great book you've read?
I just finished Homage to Catalonia by George Orwell. It does a great job of stripping away the mythology of war to give readers an unsentimental view of what it was like to serve on front-lines in a time of incredible social upheaval and consequence
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CHANGELOG: A few updates from the eng team this week ๐ด
โก๏ธ Search your deployment source code directly with Command K, for faster debugging workflows.
โก๏ธ Offline queries now support numWorkers, so teams can control shard execution at the query level for more predictable backfills and scheduled jobs.
โก๏ธ Combined aggregations are now on by default in the query planner, dramatically improving performance for offline queries over high-cardinality datasets.
docs.chalk.ai/docs/changelogโฆ
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Now live: How @Turo built a self-serve ML feature platform for dynamic pricing, and search and ranking with Chalk ๐
Full customer story here: chalk.ai/customers/turo
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We're thrilled to welcome Dovie Shalev to our Forward Deployed Engineering team in NY! Dovie joins us from Draper, where he built web-based situational awareness software and worked on system architecture problems.
A UMich CS grad with a love for solving proofs, Dovie is also an avid sci-fi and fantasy reader who has recently taken up making kitchen knives.
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Most ML teams write the same code twice ๐ซ
Data scientists prototype in Python. Engineers rewrite for production.
By the time it ships: multiple rewrites, multiple systems, nobody has the full picture.
This is what MLOps was created to solve. We broke down the challenges how teams are eliminating rewrites entirely: chalk.ai/for/mlops
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๐ Chalk for AI/ML Engineers โ Build LLM applications that combine structured data, embeddings, and vector search. Serve models with sub-5ms feature retrieval.
chalk.ai/for/ml-engineers
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๐ Chalk for MLOps โ Get full observability with automatic lineage, versioning, and tracing on every query. Deploy in your cloud with enterprise-grade security.
chalk.ai/for/mlops
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