Sean Falconer's profile on Product Hunt

About

👋 Hi, my name is Sean Falconer. I currently lead AI product and strategy at Confluent, where my team is responsible for Confluent Intelligence: a platform for building real-time, context-aware AI systems. That work spans streaming-native ML, event-driven agents (including the open-source Flink Agents project), and the Real-Time Context Engine which connects live data, stream processing, and low-latency serving so AI systems can reason over what’s happening now, not what happened yesterday. Earlier in my career, I was a hands-on engineer and researcher: competing in the ACM ICPC world programming finals, publishing academic research in AI and data-intensive systems, teaching computer science, and writing production code that has processed billions of events.

Badges

Tastemaker

Gone streaking

Forums

p/murmell

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2h ago

Let's know each other on X !

Hey guys, just launched my X account and really looking to build my network.

Drop your @ in the replies, tell me what you re building, and let s connect

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4h ago

How much time do you spend repeating context in Claude?

Curious if this is just me or other devs face it too. I use Jira and GitHub MCPs inside claude code to fetch my tickets and complete them as autonomously as possible.

But it always keeps messing up finding the correct repos, branching properly or delivering a PR without CI failing. And I end up repeating instructions and copy-pasting CI errors and asking to fix it. I tracked this and I spent on avg 75mins a day repeating context and instructions.

Anyone also facing this or found a way around it?

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4d ago

Google quietly dropped 2 of my indexed blog pages this week, no reason given

Two of my blog posts flipped from "Submitted and indexed" to "Crawled, currently not indexed" this week. No edits, no redirects, nothing changed on my end.

I went through everything GSC actually exposes: robots meta says index,follow, the canonical points to itself, HTTP status is 200. Technically clean by every check available. Google indexed them once, then quietly pulled them back out, with no error and no explanation anywhere in Search Console.