Gold-Guided Programmatic Distillation for Financial Reasoning over Hybrid Tables
Financial question answering over hybrid tabular and textual data may require multi-source reasoning and precise numerical computation. While large language models (LLMs) can generate intermediate reasoning steps, natural-language rationale
https://arxiv.org/abs/2607.14709v1 ↗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
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 ↑ improving
Traction → stable
Idea vs market ↓ declining
▸ Add / edit details
Correct facts used on the next screening or memo.
People
Y
Yun Dong
1.0
low confidence
E
Erica Zhao
1.0
low confidence
E
Elana Chen
1.0
low confidence
Activity & evidence
Similar baseline plays (YC · idea space)
Blue Onion
· Active
Financial data layer for AI-powered finance and accounting
founders not scraped yet