Co-Founder of Collate, OpenMetadata Committer, PMC of Apache Kafka, Storm Ex-Uber, Hortonworks, Mozilla, Yahoo! Apache Kafka & Apache Storm Committer & PMC

Joined August 2014
🚀Excited to share how @CollateData 's $10M Series A accelerates @open_metadata open source mission → Faster release velocity → More Product Development and community support → Renewed investment in open core Read more in the OpenMetadata blog: blog.open-metadata.org/colla…
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Harsha Chintalapani retweeted
Replying to @Scout24
@Scout24 runs 10+ real estate companies across Germany, Austria, and Spain on one AI context layer, built with Collate. Live in production in under 10 weeks. One source of trusted context for people and agents. 🎥 Watch the full Scout24 story --> youtu.be/jQf8WvPHgSw?si=TNr5… #AIforData #ContextLayer #CustomerStory #OpenMetadata
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Harsha Chintalapani retweeted
A highlight from my trip to London was meeting Angelita is person. She's built an amazing "AI virtuous cycle" where AI serves insights to people who validate and improve it. More business users are getting trusted self-service answers than with any traditional BI tool!
Replying to @Scout24
@Scout24 runs 10+ real estate companies across Germany, Austria, and Spain on one AI context layer, built with Collate. Live in production in under 10 weeks. One source of trusted context for people and agents. 🎥 Watch the full Scout24 story --> youtu.be/jQf8WvPHgSw?si=TNr5… #AIforData #ContextLayer #CustomerStory #OpenMetadata
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Harsha Chintalapani retweeted
The purpose of estimating software projects is not business planning its to create a self imposed deadline that creates social pressure for teams to finish the project. This sounds insane. When I was an engineer I hated estimation and deadlines. My feeling was, it will be done when it’s done and we don’t know when it will be done. I would obnoxiously give a probability distribution whenever asked if we would ship on time. But in reality, in a complex project with many people or teams, people need a good deadline, one that is aggressive but not insane. This is what lets everyone involved solve for what really matters, cut things that don’t matter, and push to complete something really hard. It’s a silly social convention, but it really helps. In fact setting aggressive but not insane deadlines, slipping them when needed but holding them when possible, is one of the key capabilities in engineering management.
There’s a kind of polite fiction at the heart of the software industry.
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Harsha Chintalapani retweeted
"If the foundations aren't there, every model will be confidently wrong." Live panel from @BigDataLDN: our CEO Suresh Srinivas, @MikeFerguson1, and Angelita Frozza Sanches (@Scout24) share experience from 1 year in production with AI agents. 🎥 youtube.com/watch?v=fmekRwap… #AIforData #ContextLayer #BigDataLDN #OpenMetadata
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Harsha Chintalapani retweeted
Critical governance knowledge lived in individual "data historians," the people who knew where reports originated and why certain transformations existed. When those people left, transferred, or retired, they took that knowledge with them. Read how UnionBank approached it here: buff.ly/I7F9KAu #DataGovernance #BankingData #MetadataManagement #OpenMetadata #ContextLayer
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Harsha Chintalapani retweeted
"If context is your moat, it should be open source." Suresh Srinivas (@suresh_m_s), Collate CEO, @BigData_LDN: proprietary context layers trap your AI advantage inside one vendor. Open context compounds. 7x fewer wrong answers. 75% fewer tokens. 4,000+ orgs including OpenAI, Yelp, Airbus. buff.ly/KEkm0gh #AIforData #ContextLayer #AIAgents #OpenMetadata
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Harsha Chintalapani retweeted
A user survey at @RakutenGroup found that it took two to three months to determine whether a dataset was useful for a given problem. OpenMetadata is changing that for @RakutenGroup. Read about it here: buff.ly/g91MrpO #OpenMetadata #DataDiscovery #DataGovernance #DataEngineering
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Harsha Chintalapani retweeted
If you're a vibe-coder, the safest place to store API keys is directly in the code no one will ever read it
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Harsha Chintalapani retweeted
What happens when your AI agents understand the data, but not what it actually means? For one company, even "order" meant different things across teams - and that ambiguity was enough to make reliable AI reasoning a challenge. See how they approached building the shared context their agents needed to reason consistently across the business. Read the case study here: buff.ly/a5JNhtt #Semantics #Ontology #AIAgents #ContextLayer #OpenMetadata
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Harsha Chintalapani retweeted
software is solved. don't read the code. the model is smarter than you so why bother? 🙃
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Harsha Chintalapani retweeted
I am begging someone to read this shit. The industry is completely ruined; GitHub crashes every day because of morons like this pushing three hundred thousand lines of, and I quote: "Rust implementation of the Lean 4 toolchain with -olean, C ABI, LSP, and CLI compatibility; deterministic parallelism; declaration-level incrementality; and a dual-engine kernel capped at 12 KLOC." I'm in no way anti-artificial-intelligence; in fact I would consider myself somewhat radically in favor of it, but what I am anti- is empowering demented fools to vomit infinite dreck into the commons. Enjoy garbage world, I guess.
I've been pretty busy the last couple of weeks. This is just the top projects in terms of commits and changes. So far in October I've made 21k commits across 123 repos. And I was sick in bed with Covid for 5 of those days (the lowest I hit was 327 commits in a day, all on fumes!)
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Harsha Chintalapani retweeted
For our latest episode of Ask the Experts, Collate Founding Account Executive Pierre Jaouen talks with @progrockrec . They talk about the challenges companies face with directives like GDPR, BCBS, and other requirements in Europe, how they are solving these problems, and how Collate also plays a role in the solution. Watch🎥 here👉buff.ly/kSQcylJ #OpenMetadata #DataGovernance #DataDiscovery #BCBS #GDPR #Collate #contextinsights #DataEngineering #TechInterview
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Harsha Chintalapani retweeted
7.1x more accurate answers. 86% less compute. Our own benchmarks, on our own testing. Inference is where the errors and the token spend live. @JessicaTalisman + @d3fmacro, Oct 14, 8am PT. buff.ly/38oZeEz #ContextLayer #AIforData #OpenMetadata
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Harsha Chintalapani retweeted
there's no such thing as a rogue agent man its software someone made and deployed they are responsible for what it does cannot let this blame shifting occur
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Harsha Chintalapani retweeted
A man cannot prompt the same agent twice, for it is has compacted and is not the same agent, and he is not the same man
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Harsha Chintalapani retweeted
Four ways to test a context layer before you trust it: 1. Does it make commitments? 2. Can you inspect the logic? 3. Does inference trace to a rule? 4. Who owns the output? @JessicaTalisman + @d3fmacro, Oct 14, 8am PT. buff.ly/zfxHhUh #Ontology #AIAgents #OpenMetadata
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