jeffboudier/yc-companies-august-2025
Y Combinator Companies Dataset Dataset Description This dataset contains information about 5,404 Y Combinator funded companies that have been publicly launched, sourced from the YC-OSS-API. Dataset Summary Total Companies: 5,404 Time Range: Summer 2005 - Summer 2025 Update Frequency: Snapshot from August 2025 Source: YC-OSS-API Dataset Structure Data Fields id: Unique identifier for each company name: Company name… See the full description on the dataset page: https://huggingface.co/datasets/jeffboudier/yc-companies-august-2025.
Y Combinator Companies Dataset
Dataset Description
This dataset contains information about 5,404 Y Combinator funded companies that have been publicly launched, sourced from the YC-OSS-API.
Dataset Summary
- Total Companies: 5,404
- Time Range: Summer 2005 - Summer 2025
- Update Frequency: Snapshot from August 2025
- Source: YC-OSS-API
Dataset Structure
Data Fields
id: Unique identifier for each companyname: Company nameslug: URL-friendly company identifierformer_names: Previous company names (pipe-separated if multiple)website: Company website URLall_locations: Office locationsone_liner: Brief company descriptionlong_description: Detailed company descriptionteam_size: Number of employeesindustry: Primary industry categorysubindustry: Specific industry subcategorylaunched_at: Unix timestamp of launch datetags: Technology/market tags (pipe-separated)top_company: Boolean indicating if it's a top YC companyisHiring: Current hiring statusnonprofit: Whether the company is a nonprofitbatch: YC batch (e.g., "Winter 2012")status: Company status (Active, Acquired, Inactive, Public)industries: Industry classifications (pipe-separated)regions: Geographic regions (pipe-separated)stage: Company stage (Early, Growth, etc.)url: YC company profile URLapi: API endpoint for individual company data
Data Statistics
- Top Companies: 91
- Currently Hiring: 1,274
- Nonprofit Organizations: 42
- Company Status Distribution:
- Active
- Acquired
- Public
- Inactive
Usage
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("jeffboudier/yc-companies-august-2025")
# Convert to pandas DataFrame
df = dataset['train'].to_pandas()
# Example: Find all AI companies
ai_companies = df[df['tags'].str.contains('AI', case=False, na=False)]
# Example: Get companies from specific batch
winter_2024 = df[df['batch'] == 'Winter 2024']
# Example: Currently hiring companies
hiring = df[df['isHiring'] == True]