Karthic Rao
@hackintoshrao
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Engineer @Minio | Creator of @incredibledevhq | Builder, Content Creator
Bangalore, India
Joined September 2011
🚀 Introducing Agent Panel at @IncredibleDevHQ: An observability platform for optimizing the control flow, performance, token usage, and correctness of LLM/AI agents! 🔗 https://t.co/18t5HeAmG0 Built-in @rustlang, the first release of Agent Panel currently features an AI
github.com
AI gateway and observability server written in Rust. Designed to help optimize multi-agent workflows. - GitHub - IncredibleDevHQ/agent-panel: AI gateway and observability server written in Rust. D...
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MinIO's @BrennaBuuck & @hackintoshrao take the stage at the October 2025 Bay Area @ApacheIceberg Meetup, exploring what it takes to make Iceberg work for AI. https://t.co/IcJXwkUFvH
#ApacheIceberg #AI
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From Data Swamps to Reliable Data Systems: How Iceberg Brought 40 Years of Database Wisdom to Data Lakes. https://t.co/Txk0pLhyrQ
@hackintoshrao
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We are very excited to announce the launch of MinIO Academy, a centralized education hub that empowers IT professionals with the skills and training needed to master MinIO AIStor. Learn more about all that #MinIOAcademy has to offer here: https://t.co/msW0fpggr4
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From Data Swamps to Reliable Data Systems: How Iceberg Brought 40 Years of Database Wisdom to Data Lakes via @Minio, by @hackintoshrao
https://t.co/57R0iufnth
blog.min.io
The data lake was once heralded as the future, an infinitely scalable reservoir for all our raw data, promising to transform it into actionable insights. This was a logical progression from databases...
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New post from @hackintoshrao that covers how @ApacheIceberg brought 40 years of database wisdom to #datalakes.
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Data lakes have always been reliable for storing individual files. What was missing, however, was the reliability at the table/analytics layer, transactional guarantees & consistency that only a database-style abstraction can provide. @hackintoshrao's post covers how Iceberg
blog.min.io
The data lake was once heralded as the future, an infinitely scalable reservoir for all our raw data, promising to transform it into actionable insights. This was a logical progression from databases...
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Science moves slowly because wrong theories waste decades. Engineering is careful because failures kill people. Software moves fast because mistakes are cheap, the expensive error isn't making the wrong choice, it's taking too long to make any choice. https://t.co/Bp6sAEBdIF
jack-vanlightly.com
A recent LinkedIn post by Nick Lebesis caught my attention with this brutal take on the difference between good startup founders and coward startup founders. I recommend you read the entire thing to...
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The Case for Native Iceberg Catalog APIs and Unified Governance in Object Storage from @Minio, by @hackintoshrao
https://t.co/234NGZiNcg
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Aravind Srinivas says coding with AI is like the Jobs–Wozniak dynamic: You're Steve Jobs—guiding vision and orchestration—while your AI coder is Woz, handling execution. “People with taste, clarity of thought, and problem-solving skills will really shine in this new era.”
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🤩 Thrilled to welcome our partners from @e6data for the Bay Area Real-Time Data + AI Night on April 3! Join us for a night of networking and Iceberg-themed talks by @ProductPasha and @hackintoshrao! 🎟️Save your spot:
luma.com
👥 Who’s invited? If you're all about real-time data or AI (or both!), this one’s for you. Bonus points if you’re an Iceberg fan—or just excited to meet fellow…
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Our final speaker of Lakehouse Days - Powered by AWS meetup in Hyderabad is @hackintoshrao! Join us on Mar 8, and learn about Fast Distributed Iceberg Writes and Queries with Apache Arrow IPC. Register here for the event: https://t.co/6CVTCykpSB
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🚨 New post alert 🚨 Significant serializing and deserializing slow down the performance when writing to @ApacheIceberg tables at massive concurrencies and rates. Also, by optimizing for batch sizes, you lose the data freshness or optimizing for data freshness, you sacrifice
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🦀 Another Blog Alert 🦀 Ever wonder what’s actually behind impl Future<Output = T> in @rustlang async world? It looks so simple—yet it hides a unique, compiler-generated state machine that can’t be named directly in your code! 🔗 https://t.co/ZXKKGBYWbr Here’s what you’ll
hackintoshrao.com
Discover how compiler-generated futures work behind the scenes—and why they’re both powerful and perplexing.
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My blog post got an excellent response in the @rustlang subreddit last night and drove some fantastic conversations: https://t.co/MT0MIZWC7C
@RustTrending
reddit.com
Explore this post and more from the rust community
🦀 New post alert 🦀 Ever wrap a heap-allocated type in a Box ‘just to be safe’ in your @rustlang code? Turns out you might be adding needless overhead 🏋 🔗 https://t.co/93QjEb3i1k Who it’s for ⁉️ Rust devs who are curious about memory layout and want to avoid hidden
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🦀 New post alert 🦀 Ever wrap a heap-allocated type in a Box ‘just to be safe’ in your @rustlang code? Turns out you might be adding needless overhead 🏋 🔗 https://t.co/93QjEb3i1k Who it’s for ⁉️ Rust devs who are curious about memory layout and want to avoid hidden
hackintoshrao.com
If the compiler doesn’t force you to Box, you probably don’t need one!
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🦀 New blog post alert 🦀 If your @rustlang code keeps yelling about moving and borrowing rules every time you spin up a new thread, you'll find my latest post handy! 🔗 https://t.co/BnVUubYgze What You’ll Learn 💡 🧩 Ownership & Borrowing: How closures capture your
hackintoshrao.com
Exploring the why and how of capturing variables inside a closure running in a new thread in Rust
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Here's my latest blog on how the ETL landscape is on the verge of a paradigm shift in 2025! Meet table/stream duality with @ApacheIceberg and how it'll redefine the ETL market forever! 🔗 https://t.co/vFKmrzxNCN ♾️ Unbounded Storage: Apache Iceberg integrates deeply with
hackintoshrao.com
Traditional ETL has long revolved around batch processing pipelines—Spark jobs ingest static, bounded datasets from data lakes or warehouses, perform transformations, and write results to another...
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