benstaf/ycbench
YCbench A live benchmark dataset for forecasting startup outperformance in Y Combinator batches. This dataset was introduced in the paper:"YC Bench: a Live Benchmark for Forecasting Startup Outperformance in Y Combinator Batches" by Mostapha Benhenda. Dataset Overview YCbench provides structured public signals for Y Combinator startups (focused on the W26 batch of 196 companies). It enables rapid evaluation of models that predict which startups will outperform… See the full description on the dataset page: https://huggingface.co/datasets/benstaf/ycbench.
prettyname: YCbench datasetname: ycbench language:
- en license: mit tags:
- finance
- startups
- ycombinator
- benchmarking
- tabular
- prediction
- venture-capital task_categories:
- tabular-classification
- text-classification size_categories:
- n<1K configs:
- configname: startups datafiles: ycw26startups.csv
- configname: traction datafiles: ycw26traction.csv
- configname: scores datafiles: ycw26predemoscores.csv
- configname: mentions datafiles: yc_mentions.csv
- configname: mentionsearly datafiles: ycmentions_early.csv ---
YCbench
A live benchmark dataset for forecasting startup outperformance in Y Combinator batches.
This dataset was introduced in the paper: ["YC Bench: a Live Benchmark for Forecasting Startup Outperformance in Y Combinator Batches"](https://huggingface.co/papers/2604.02378) by Mostapha Benhenda.
Dataset Overview
YCbench provides structured public signals for Y Combinator startups (focused on the W26 batch of 196 companies). It enables rapid evaluation of models that predict which startups will outperform their batch peers in the short term (until Demo Day).
Performance is measured using a Pre-Demo Day Score that combines traction signals and web visibility.
Available Configurations
Quick Load
from datasets import load_dataset
# Load specific parts
startups = load_dataset("benstaf/ycbench", "startups")
scores = load_dataset("benstaf/ycbench", "scores")
mentions = load_dataset("benstaf/ycbench", "mentions")Or with pandas (simple way):
import pandas as pd
df = pd.read_csv("hf://datasets/benstaf/ycbench/yc_w26_pre_demo_scores.csv")Links
- Paper: arXiv 2604.02378
- Live Benchmark: ycbench.com
- GitHub: benstaf/ycbench
