NexForge: Scaling Executable Agent Tasks via Requirement-First Synthesis
Scaling executable agent training data is bottlenecked by substrate-first methods that tie task generation to predefined tools, repositories, or skill graphs: expanding coverage requires manual expansion of the substrate, each new domain de
https://arxiv.org/abs/2607.14186v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
Moderate
How close the company’s idea is to your thesis statement
Sector
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 ↑ improving
Traction → stable
Idea vs market ↓ declining
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Correct facts used on the next screening or memo.
People
J
Jiarong Zhao
1.0
low confidence
Z
Zhikai Lei
1.0
low confidence
Z
Zhiheng Xi
1.0
low confidence
R
Rui Zheng
2.0
low confidence
H
Hang Yan
1.0
low confidence
J
Jie Zhou
1.0
low confidence
Q
Qin Chen
1.0
low confidence
L
Liang He
1.0
low confidence
Activity & evidence
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