@mitchellh This works for for features/bugs being fixed but over time, as a product grows, details get forgotten. Have you found a good way to maintain a product level spec/design using AI? Something to refer to when building the next feature
@Polymarket Intelligence Agent!
I’m excited to join @goldskyio's Jeff Ling on September 3rd to show something we’ve been building that I think is a great example of where AI agents are headed.
Most agents can reason over static data. But what happens when an agent can understand what’s happening onchain right now?
We’ll live-demo our Polymarket Intelligence Agent and show how live blockchain data, continuously updated context, and governed MCP access turn raw onchain activity into useful AI answers.
Thursday, September 3 · 11:00 AM PT
👉 Register here: https://t.co/KqxYBvJi4h
#AI #Polymarket #AIAgents #Web3 #Onchain #RealTimeData #MCP
🚀 Real-time context for AI Agents isn’t a buzzword for us, it’s the mission.
We’ve been talking about Real-Time Context for AI Agents since last spring.
Last October, we officially introduced DeltaStream as the Real-Time Context Engine for AI Agents.
👉 In 2026, we’re going all in.
Our goal is simple (and ambitious): make DeltaStream the Real-Time Context Engine for AI Agents.
The latest step on that journey?
✨ Our brand-new homepage is live: https://t.co/LbemJZfvtd
If you’re building AI agents that need to reason and act on what’s happening now, not yesterday, not minutes ago, and stale context just won’t cut it, let’s talk.
💡 You might be surprised by how easy it is to give your agents true real-time context with DeltaStream.
👉 Check out the new site.
👉 Start a conversation.
👉 Let’s make AI agents truly real-time.
Big milestone for @DeltaStreamInc!
DeltaStream is now available on @Azure.
Azure users can now build sophisticated, real-time data pipelines using only SQL.
No clusters to manage. No Flink/Spark expertise needed.
We're launching with flexible deployment options:
🔹 SaaS: The ultimate serverless simplicity.
🔹 BYOC (Bring Your Own Cloud): Keep all data 100% within your own Azure VNet.
Read the full announcement and sign up for the Early Access program here: https://t.co/LXDU8ssVwt
#Azure #MicrosoftAzure #DataEngineering #StreamProcessing #Serverless #EventHubs #ADLS #BYOC
It’s always fun to stay one step ahead of our good friends at @confluentinc 👋
We’ve spent the last few months building @DeltaStreamInc as the Real-Time Context Engine for GenAI Agents and Applications — and officially announced it last week (see here: https://t.co/1yi8Vtsu3r).
Today, @jaykreps unveiled Confluent’s early-access “Context Engine.”
If you’re looking for a production-ready Real-Time Context Engine for GenAI, you don’t have to wait — DeltaStream is already GA!
Also, check out Rick Curtis’s new video on how to build GenAI Agents with DeltaStream in just minutes 👉 [https://t.co/X5H9fYPURd]
Generative AI promises magical user experiences, but often delivers generic results. Why? Because even the most powerful LLM is flying blind without awareness of what a user is doing right now. The key to bridging this gap and unlocking high-ROI AI applications isn't just a better model—it's the missing data infrastructure that provides real-time context. In our latest blog post, we explore how a real-time context engine acts as the "nervous system" for your AI, transforming raw user behavior into perfectly timed, context-aware actions that create truly personal experiences.
#GenAI #LLM #AI #RealTimeData #DataStreaming #ContextualAI #Personalization #DeltaStream
https://t.co/ZR02aGb54O
🚑 Early detection saves lives — and now, real-time AI can make that possible. In our latest blog, we walk through how we built a real-time generative AI pipeline for sepsis detection using DeltaStream. From ingesting streaming patient data to triggering instant AI-driven alerts, we show how modern stream processing and LLMs can work together to tackle one of healthcare’s most critical challenges.
https://t.co/7gWmBp6Uks
Workload isolation is a very crucial aspect in productionizing applications especially for stream processing applications. Many stream processing solutions use clusters to run streaming jobs which results in shared resources among streaming queries with unpredictable behavior. A bad query can affect all other queries running in the same cluster, or even worse, bring down the whole cluster! You can use a cluster per application but then you will have to deal with many clusters and keep track of which application runs in which cluster which can be really chaotic very fast!
DeltaStream's serverless stream processing has a different approach! Under the hood, we run each streaming query in its own dedicated Flink cluster which provides fine grained query/job level isolation and elasticity. Plus user doesn't have to even know about these clusters and only deals with their streaming queries.
Try it for yourself at https://t.co/5RBOWre3L1
#StreamingData #RealtimeData #ApacheFlink
🎥 Take a look at our latest Discovery video: DeltaStream Fusion + Apache Iceberg
Combine multiple Kafka topics, enrich them into a new topic, and filter the results into an Apache Iceberg table for analysis.
If this excites you - there's still room on our waitlist! 👇
It’s been a long time coming! So proud of the team for bringing this to fruition. Make sure to join the waitlist for the preview.
https://t.co/QuIeXySuO3
The time has come. I’ve been teasing this for the last month, but now I can finally announce it. As you might know, my early days were as a COBOL programmer, and I was very good at it. Approximately 60% to 70% of the world's business transactions are processed in COBOL. I’ve been watching attempts to convert COBOL to another language since Y2K, and I realized this was the wrong way to go. The real answer was to bring the modern data stack to the legacy world. To that end, with the support of @DeltaStreamInc , we are announcing COBOL Streamhouse. A native implementation of Apache Kafka and Apache Iceberg in the COBOL Language. Links to details and the GitHub are in the comments.
Our latest video takes you straight to the heart of DeltaStream: the Workspace.
In this Delta Drop, we explore:
✅ Creating databases and schemas
✅ Harnessing the SQL Editor
✅ Insights into data stores
https://t.co/bAEivv7iNR
🔥 Apache Flink 2.0 is coming, and it's massive!
- Disaggregated state storage
- 80% better throughput
- Enhanced cloud-native support
- Major API modernization
Want the full scoop? Check out our detailed breakdown:
https://t.co/B4KYXaATYG
#ApacheFlink#DataEngineering
Today, I am excited to announce that @DeltaStreamInc has raised our $15M Series A funding from @NEA , @galaxyhq and @senabil_bosnia. It’s been an incredible journey getting here - and we couldn’t have done it without the amazing @DeltaStreamInc team. I would like to thank our customers, community, and partners—including our investors—for their unwavering support.
There is much more to say about our journey to get here and what we have in store. I share more of my thoughts in our latest blog post. Thank you again to the team, our investors, and our customers.
@glxydotgg
https://t.co/rCvsVU8ehh
BYOC (Bring Your Own Cloud) played a crucial role in @confluentinc's acquisition of @warpstream_labs, highlighting the significance of this approach and the increasing demand for such architecture. Ensuring BYOC for all components is key. If you seek a Kafka service with BYOC, you also need an stream processing platform with BYOC! @DeltaStreamInc's BYOC deployment offers an ideal platform for processing, governing, and securely sharing your streaming data.
We have many fun ways to connect in Austin this year at #Current2024:
Happy Hour 🥂
Join our 'Kick-off' event on Monday Sept 16th
Visit Us 🤝
Stop by booth 307 for swag and to see our latest updates
Lightning Talk ⚡
Our founder @Hojjat is speaking the afternoon of Day 1
We hope you are looking forward to #Current2024 as much as we are - especially since we're hosting our a Kick-Off Event Sept. 16 with our friends at @redpandadata, @getconduktor, and @ClickHouseDB! RSVP to secure your spot and get all the details 👇
https://t.co/vT6U8fj1sQ