The Team

We build so you can
sip what matters, skip the noise.

Between Alibaba, Lockheed Martin, and Gala Games, we've spent years shipping products and building AI infrastructure across industries. All of it pointed us toward the same mission — helping people cut through the flood of information and focus on what actually moves them forward.

Wendy Zhang

Wendy Zhang

Founder & CEO

“After seven years across Ogilvy, Alibaba, Moutai, and AI startups, I kept hitting the same wall: too much information, not enough signal. That's the problem I'm here to fix.”

Wendy has always been drawn to the gap between what people know matters and what they actually have time to do. Before sipsip.ai, she was that person with the endless YouTube queue — talks from researchers she admired, interviews with founders she was learning from, lectures she intended to watch when things slowed down. Things didn't slow down.

Rather than accept that tradeoff, she built a tool. AI Video Transcriber launched on GitHub in 2025 and reached 1,000 stars within two months, 2,300 by early 2026. The signal wasn't the star count — it was the kind of users writing in. Researchers. Journalists. Non-technical founders who loved the idea but couldn't deploy it themselves. They didn't want a repo. They wanted a product.

That clarity became the foundation for sipsip.ai. Wendy leads product strategy, positioning, and growth with one persistent question: does this genuinely give someone their time back, or does it just add more to the pile? Her background is in product and community — she believes the best products are built from real frustration, not from trend-watching.

Role

Product, strategy & growth

Background

8 apps & 5 AI products shipped

LinkedIn
Jonathan Burk

Jonathan Burk

Co-founder & CTO

“From Lockheed Martin to Gala Games, I've spent years building AI systems that handle what people shouldn't have to do manually. The best ones are invisible — they just get it done.”

Jonathan came to sipsip.ai from a career built around one question: what work shouldn't require human attention? At Gala Games he served as AI Lead and built Roboroot — an agent-agnostic LLM harness that takes a JIRA ticket and produces a fully reviewed merge request, end to end, using LangGraph and LangChain. Before that he spent years at Lockheed Martin and as a lead consultant, building systems that had to work reliably in production, not just in demos.

Outside of his core engineering work he's shipped and operated a live Discord-based RPG with LLM-driven content generation, an AI music platform, and a mobile game with a real daily active user base. He has a particular intolerance for things that are half-finished — for him, a system isn't done until it can run without a human watching it.

At sipsip.ai Jonathan is responsible for the infrastructure that makes the product feel effortless: the transcription pipeline, the summarization layer, the reliability that lets a user paste a URL and trust that something useful comes back. His longer-term interest is in what happens when that same infrastructure is pointed at enterprise problems — where the information volumes are larger and the cost of missing a signal is higher.

Role

AI systems & infrastructure

Background

AI Lead, Gala Games · Texas A&M CS

LinkedIn

What we believe

Principles we build by.

We build with one constraint at the center: attention is finite. Every minute spent processing information that doesn't lead to action is a minute lost — to that person, permanently. We don't treat that as an edge case. We treat it as the primary design requirement.

The answer to information overload isn't more information — it's better filtering. We're not trying to help people consume more. We're trying to make less feel like enough, by making sure what reaches you is actually worth having.

We also hold a high bar for what counts as finished. The best automation disappears into your workflow — you stop noticing it because it just works. A tool that requires babysitting isn't done. A brief you have to go find isn't a brief. If it needs human attention to function, we haven't finished building it.

We started narrow — with video and audio, the most immediate version of the problem. But the same principle applies anywhere attention is being wasted: in bug logs, in user feedback, in social media feeds. We're expanding one surface at a time, and only shipping when we're confident it works.

Where we're going

Small team. Long horizon.

We deliberately chose to stay small at the start. A small team moves faster, stays closer to users, and is forced to make decisions based on what actually matters rather than what looks good internally. We're not trying to build a large company quickly — we're trying to build something people genuinely rely on.

The horizon we're working toward is one where the gap between information and understanding has shrunk to nearly nothing — where an individual can stay genuinely informed across everything they care about without it consuming their day, and where a team can monitor the signals that matter to their business without hiring people to do it manually.

We started with one surface: video and audio. We know there are many more. We're taking them seriously, one at a time, and only shipping something when we believe it actually works.

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