Attention to Detail: Evaluating Energy, Performance, and Accuracy Trade-offs Acr
Large Language Models are reshaping how software is developed and maintained. They are typically deployed in production using inference engines such as vLLM, which can efficiently serve pre-trained, highly configurable models. While prior w
https://arxiv.org/abs/2607.09172v1 ↗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
▸ Add / edit details
Correct facts used on the next screening or memo.
People
N
Nada Zine
1.0
low confidence
T
Tristan Coignion
1.0
low confidence
C
Clément Quinton
1.0
low confidence
R
Romain Rouvoy
1.0
low confidence
P
Patricia Lago
1.0
low confidence
Activity & evidence
Similar baseline plays (YC · idea space)
Automorphic
· Active
Infuse knowledge into language models with just 10 samples
founders not scraped yet