CityBehavEx: A Scalable and Empirically Validated LLM-Assisted Urban Simulation
Recent LLM-based multi-agent urban simulators can generate semantically rich city routines, but they remain costly to scale and are often weakly validated against empirical mobility patterns. We present CityBehavEx, an interactive LLM-assis
https://arxiv.org/abs/2607.12086v1 ↗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
llm, 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
G
Gustavo H. Santos
1.0
low confidence
A
Aline Viana
1.0
low confidence
T
Thiago H Silva
1.0
low confidence
Activity & evidence
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