SportD: Can VLMs Physically Strategize?
Vision--language models have become increasingly capable of interpreting visual scenes, but it remains unclear whether they can use information to make strategically effective decisions. We investigate this question in soccer, where models
https://arxiv.org/abs/2607.14616v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
None
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 ↓ declining
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Correct facts used on the next screening or memo.
People
J
Jasin Cekinmez
2.0
low confidence
A
Addison J. Wu
2.0
low confidence
H
Haotian Xia
2.0
low confidence
A
Akshaya Bharadhwaj
2.0
low confidence
A
Anay Putty
2.0
low confidence
A
Anirudh Ravishankar
2.0
low confidence
J
Jaewoong Lee
2.0
low confidence
J
Jinglin Xiao
2.0
low confidence
K
Kyumin Andrew Shim
2.0
low confidence
M
Mishika Ahuja
2.0
low confidence
N
Nisarga Patil
1.0
low confidence
L
Leo Liu
2.0
low confidence
N
N. U. Patil
1.0
low confidence
Activity & evidence
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