OpsMem: Dual-Memory Reasoning with Cross-Memory Resonance for Failure Diagnosis
Failure diagnosis in modern software systems requires iterative evidence acquisition and hypothesis reasoning guided by operational experience. Existing LLM-based methods improve diagnosis through agentic reasoning or knowledge augmentation
https://arxiv.org/abs/2607.11357v1 ↗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 ↑ improving
▸ Add / edit details
Correct facts used on the next screening or memo.
People
Y
Yongqian Sun
1.0
low confidence
R
Rongchen Gao
1.0
low confidence
Y
Yu Luo
1.0
low confidence
W
Wenwei Gu
1.0
low confidence
S
Shenglin Zhang
1.0
low confidence
Q
Qingyi Guo
1.0
low confidence
Q
Qiuai Fu
1.0
low confidence
Y
Yaoliang Wu
1.0
low confidence
D
Dan Pei
1.0
low confidence
Activity & evidence
Similar baseline plays (YC · idea space)
Integrated Reasoning
· Active
Faster processors for solving NP-complete problems
founders not scraped yet