TrendToKnow watches technical signals from AI news, arXiv, GitHub, benchmarks, and agent tooling so useful work is not buried in noise.
WOLONG LAB
Building practical AI intelligence for people who move fast.
TrendToKnow turns fast-moving AI research, product launches, repositories, benchmarks, and agent workflows into a sharper discovery system for technical teams.
From raw AI signals to useful product decisions.
WOLONG LAB focuses on the gap between research velocity and practical adoption. The goal is to make the best new work easier to find, understand, compare, and turn into software.
The product is designed around user intent: topics, sources, tracked themes, digests, and semantic recommendations that adapt to real workflows.
The founders bring a builder's perspective to infrastructure, ranking, summarization, and product loops that make AI intelligence dependable.
Core founders
WOLONG LAB is led by builders with deep experience across AI research, machine learning systems, product engineering, and large-scale software development.
Chris Chen
Founder, WOLONG LAB
Chris Chen is the founder of WOLONG LAB. He has 10+ years of AI/ML industry experience across startups and large technology companies, with deep work in machine learning systems, intelligent applications, data pipelines, and applied AI product development. Chris holds a PhD in AI and is passionate about turning fast-moving research into practical products. He focuses on agentic systems, personalized AI intelligence, semantic recommendations, and building tools that help technical users discover, understand, and act on high-signal AI developments.
Jake Lewis
Co-founder, WOLONG LAB
Jake Lewis is a co-founder of WOLONG LAB with experience across full-stack software engineering, AI research, and large-scale system development. He brings strong product engineering judgment across frontend, backend, infrastructure, and applied AI workflows. Jake is interested in building AI-native products that connect research, data, and user workflows into reliable software systems. At WOLONG LAB, he focuses on scalable product architecture, feed and recommendation experiences, agentic workflows, and turning AI innovation into durable user-facing systems.