CityLLM: A framework for natural-language querying of semantic 3D city models
Semantic 3D city models provide rich geometric and semantic information, but remain challenging for non-experts and interdisciplinary researchers to access and query due to their complex structures and specialized data formats. To address t
https://arxiv.org/abs/2607.14542v1 ↗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
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 → stable
▸ Add / edit details
Correct facts used on the next screening or memo.
People
R
Rabindra Lamsal
1.0
low confidence
S
Sisi Zlatanova
1.0
low confidence
J
Johnson Xuesong Shen
1.0
low confidence
Activity & evidence
Similar baseline plays (YC · idea space)
Ardis AI
· Inactive
Transform your text data into a searchable knowledge graph
founders not scraped yet