Query Vary
YC Winter 2022 ActiveNo-Code LLM Application / Workflow Builder
https://queryvary.com ↗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
No founders linked yet.
YC company pages list founders in page JSON, but we only scrape a capped slice
of the directory. Pull this slug with
.venv/bin/python run_sourcing.py --sources yc_founders --slugs query-vary
then re-ingest.
Open on YC ↗
Activity & evidence
Similar baseline plays (YC · idea space)
Airtrain AI
· Inactive
No-code data curation for LLM fine-tuning and evaluation.
founders not scraped yet