TraceSynth: Generating Production-Quality Kernel Traces with Constraint-Guided D
Machine learning models for system diagnostics rely on kernel execution traces to capture fine-grained system behavior, but collecting production traces in industrial systems is costly due to runtime overhead, storage demands, and privacy c
https://arxiv.org/abs/2607.12104v1 ↗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
Y
Yuvraj Sehgal
1.0
low confidence
S
Sneh Patel
1.0
low confidence
M
Mahsa Panahandeh
1.0
low confidence
N
Naser Ezzati-Jivan
1.0
low confidence
F
Francois Tetreault
1.0
low confidence
Activity & evidence
Similar baseline plays (YC · idea space)
Joe Doliner
Joey Zwicker
Pyroscope
· Acquired
Open source continuous profiling software to debug performance issues
Ryan Perry
Dmitry Filimonov