Mystra: Declarative Dynamic Taint Analysis via Shadow Virtual Machine
Dynamic taint analysis (DTA) for interpreted languages like JavaScript and Python requires three capabilities: observing host-runtime operations, maintaining parallel taint states, and defining how taint propagates. Existing systems couple
https://arxiv.org/abs/2607.12308v2 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
Light
How close the company’s idea is to your thesis statement
Sector
ai
Overlap with sectors you care about
Geography
Unknown
Location unknown — scores 0
Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
Founder → stable
Traction → stable
Idea vs market ↑ improving
▸ Add / edit details
Correct facts used on the next screening or memo.
People
Z
Zhuohao Zhang
1.0
low confidence
J
Junkun Liu
1.0
low confidence
R
Rui Yang
1.0
low confidence
Y
Yinzhi Cao
1.0
low confidence
Z
Ziyang Li
1.0
low confidence
Activity & evidence
Similar baseline plays (YC · idea space)
Dioxus Labs
· Acquired
Web, Desktop, and Mobile apps with one codebase in Rust
founders not scraped yet