Nitay Joffe

@hussainsultan techontherocks.show/24

Hot take: Feature Stores failed because they were essentially Shadow IT. 📉 @hussainsultan from xorq joins to explain why we need "lock files" for data pipelines—making ML workflows reproducible across engines like Snowflake and DuckDB without the glue code. link below

LLM apps are moving fast, and the risks are moving faster. That’s why we’ve developed a guide for securing AI Applications. In “Building Secure AI Applications,” we break down how the OWASP LLM Top 10 shows up in real systems and map each risk to controls teams can actually implement today. If you’re building or securing LLM features, we include a full vendor-neutral reference architecture. Download the Guide → dryrun.security/resources/owas…

@wesmckinn techontherocks.show/23

“A terabyte is not big data anymore.” New episode with the creator of pandas & Apache Arrow @wesmckinn on: Arrow vs Parquet, next-gen file formats, why DuckDB/DataFusion often beat “big data”, and how AI coding agents are changing open source infra. link below

Big day - announcing @arcjet's Series A + our new local AI security model 🚀 An opt-in AI layer that runs expert security analysis for every request, entirely locally. 🏡 Accurate detection is the hardest part of security. 🎯 Legacy network-edge tools see packets, not users or logic. Real context lives in your code - where better decisions can actually be made. 🤖 That’s why we built Arcjet’s first AI security model. 🛡️ It runs inference locally in milliseconds, right inside your request handlers. Adds an extra layer to your defenses so you can ship faster and safer. 🍰 Arcjet now protects 500+ production apps used by 1,000+ developers - stopping bots, scrapers, spam, and fake accounts. 🕷️ So we’ve raised an $8.3M Series A led by @pluralplatform, bringing total funding to $12M. Also participating: @a16z, @seedcamp, @feross, and @jeffiel 💸 I'm excited to work alongside a small but exceptional team building the security platform that ships with your code. 🚀

If you care about making AI features shippable, this episode maps the terrain and the trade-offs. 🔗 Link in the profile

1/5. @paradedb has raised a $12M Series A to bring Elasticsearch workloads to Postgres. 🧵 techcrunch.com/2025/07/15/par…

Five years after starting @intros_ai, I’m thrilled to announce that we’ve been acquired by @BevyHQ. We’re joining forces to push the boundaries of how AI connects, personalizes, and engages communities.

1/12. I'm excited to share our latest technical blog post on ParadeDB. After a brief hiatus focused on transforming ParadeDB into an enterprise-ready database, expect to hear a lot more from us. Today's post: How ParadeDB built an LSM on top of Postgres block storage. 🧵

So proud to share my wife's research which was recently published in JAMA Oncology! jamanetwork.com/journals/jamao…

@ajoshhoward techontherocks.show/19

“Durable objects” aren’t just a buzzword. They’re how Cloudflare is rethinking state at the edge. @ajoshhoward breaks down the shift from OLAP systems to real-time coordination primitives, what makes workers + DOs unique, and why multiplayer + agents thrive on it. Link below

How does a simple tool evolve into a billion-dollar platform? Erik Swan, co-founder of Splunk, shares insights on: Starting with a focused “hammer” before scaling The “physics of business” in go-to-market strategies Navigating product-led growth and network effects Link below

@giladkleinman techontherocks.show/17

Reinventing database views with @giladkleinman of Epsio! In our latest episode we discuss incremental materialization, optimizing query performance, and integrating with existing databases using CDC streams. #DataEngineering #Databases. Link below.

Introducing Daytona Cloud: the first agent-native cloud infrastructure. Fast. Stateful. Built for agents, not humans. Available today.

@ViktorKessler techontherocks.transistor.fm/16

Dive into data evolution with @ViktorKessler ! We discuss the shift from Data Mesh to Lakehouse, tackling metadata challenges, and introducing Lakekeeper for Apache Iceberg. Learn how to turn data functions into profit centers. Link below