← back

Datacurve

YC Winter 2024 Active

Frontier coding data for training and evaluating LLMs

https://datacurve.ai/ ↗
Thesis fit
Good fit

Within your typical scope; diligence still required.

Edit thesis
In your usual scope
Idea match Moderate

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 ↓ declining
Generate memo
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 datacurve then re-ingest. Open on YC ↗

Activity & evidence

Y Combinator Y Combinator · in batch signal ▸

Similar baseline plays (YC · idea space)

Compresr · Active
LLM context compression for better accuracy
founders not scraped yet
The Token Company · Active
Compression middleware that improves LLM outputs
founders not scraped yet
PredictLeads · Active
Best in class company intelligence data.
founders not scraped yet
floatingpoint · Active
Datasets and evals to push the frontier of visual intelligence.
founders not scraped yet
Luel · Active
Turning everyday words and actions into usable training data.
founders not scraped yet