MamaBench: Benchmarking LLM Robustness in Maternal and Child Health Diagnosis th
Large language models achieve strong scores on medical benchmarks, yet these benchmarks evaluate each question in isolation, providing no measure of whether a system can distinguish clinically similar presentations requiring different inter
https://arxiv.org/abs/2607.14385v1 ↗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
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
T
Thanni Adewuyi
1.0
low confidence
A
Anuoluwa Sotome
1.0
low confidence
S
Samuel Okoko
1.0
low confidence
A
Angel Ezendu
1.0
low confidence
O
Oluwafunke Akinbuwa
1.0
low confidence
O
Oluwaseun Odunsi
1.0
low confidence
O
Oluwasegun Oguntuase
1.0
low confidence
O
Oluwadarasimi Oguntuase
1.0
low confidence
I
Ifeoma Nwabueze
1.0
low confidence
A
Abiodun Adereni
1.0
low confidence
Activity & evidence
Similar baseline plays (YC · idea space)
Strand AI
· Active
Multimodal foundation models to predict uncollected patient biology
founders not scraped yet
voize
· Active
We build the AI companion for nurses, to create time for care.
founders not scraped yet