This profile has not been claimed and data may not be accurate.
66th percentile
50th percentile
Graph ML researcher and co-founder of $199M-backed Kumo.AI
Credibility
Traction · 70th percentile
- Current co-founder of Kumo.AI, a venture-backed AI startup.
- Kumo.AI has raised $199M in total venture funding.
Relationship Matrix
Founder score
- 95%Probability of being accurate (95%)kumo.ai ranks #600,676 on the Majestic Million (global domain prominence).
- 95%Probability of being accurate (95%)Verified GitHub account @JiaxuanYou confirmed by name match and URL on LinkedIn.
- 95%Probability of being accurate (95%)GitHub account has been active for approximately 9 years, created in June 2016.
- 90%Probability of being accurate (90%)Active builder with 41 public non-fork repositories on GitHub.
- 90%Probability of being accurate (90%)GitHub account @JiaxuanYou has 1,060 followers.
- 90%Probability of being accurate (90%)Deep research credibility with an h-index of 23 and 8,049 citations (OpenAlex).
- 90%Probability of being accurate (90%)Identified as a researcher on OpenAlex with 89 published works.
- 85%Probability of being accurate (85%)Kumo.AI has raised $199M in total venture funding.
- 85%Probability of being accurate (85%)Current co-founder of Kumo.AI, a venture-backed AI startup.
- 80%Probability of being accurate (80%)Kumo.AI was co-founded with multiple co-founders from Pinterest, Airbnb, and LinkedIn.
Investor score
- 50%Probability of being accurate (50%)Made at least one active investment (Auto Bound) per grounded facts.
What you likely need
You're at an inflection point where Kumo.AI's $199M raise and your graph ML credibility deserve a much louder public signal — the right rooms can accelerate your Series C/D, sharpen your open-source positioning, and expand your investor identity. Events that put you in front of growth-stage investors, fellow founder-researchers, and top PhD talent will compound fastest right now. You also have an underutilized network in Stanford CS and the Pinterest/Airbnb/LinkedIn alumni ecosystem that Festival can help you activate with precision.
Would you attend these IRL Festival events?
We will tune and customize your Founder Festival experience to make sure you get invited to the events that would be most valuable to you.
- fundraisingA growth-stage founder dinner with Andreessen a16z, Sequoia, and Coatue partners who led recent $100M+ AI infrastructure rounds, to pressure-test Kumo.AI's Series C/D narrative and secure warm lead introductions
- positioningA Stanford CS PhD founder roundtable with fellow alumni who have crossed the researcher-to-CEO bridge (think Databricks, Anyscale lineage) to trade notes on open-sourcing core ML tooling as a community growth flywheel
- introsA Pinterest, Airbnb, and LinkedIn alumni happy hour specifically for founders whose co-founders share those networks, designed to surface warm intros to growth-stage investors already familiar with graph and relational data infrastructure
- hiringA dinner for UIUC and Big Ten CS faculty-founders actively recruiting PhD students directly into their startup research pipelines, to share playbooks on structuring joint academic-commercial research roles that attract top candidates
- positioningA roundtable of graph ML and relational deep learning open-source maintainers — PyG, DGL, NetworkX ecosystem contributors — to workshop how Kumo.AI can position a public GitHub release for maximum developer adoption and HN traction
- tacticalAn office hours session with established AI infrastructure angel syndicate leads (e.g., SV Angel, Rainfall, Conviction scouts) to help you formalize your angel activity beyond Auto Bound and build a visible investor track record
- tacticalA build-in-public dinner for active founder-researchers with strong academic citation records but quieter recent GitHub presence, to share concrete strategies for resuming public technical output without distracting from company execution
- positioningA small workshop with developer-audience builders who grew technical blogs into tens of thousands of followers (Chip Huyen, Lilian Weng tier) to help you map a content series on graph neural networks that converts academic credibility into a broad dev following