Y Combinator Founders Scraper

A powerful tool to collect and structure detailed information about Y Combinator founders in a clean, searchable format. It helps users quickly discover founder profiles, company associations, and industry backgrounds from one of the world’s most influential startup ecosystems.

Designed for accuracy and flexibility, this project enables filtered access to founder data for research, analysis, and business intelligence use cases.

     

Created by Bitbash, built to showcase our approach to Scraping and Automation!
If you are looking for y-combinator-founders you've just found your team — Let’s Chat. 👆👆

Introduction

This project retrieves structured founder profiles associated with Y Combinator and outputs them as a clean dataset. It solves the problem of fragmented founder information by centralizing key identity, company, and industry details. It is ideal for researchers, investors, analysts, and startup ecosystem builders.

Founder Intelligence Dataset

• Collects individual founder profiles with rich metadata
• Supports flexible filtering by name and company
• Outputs normalized, analysis-ready data
• Suitable for automation, research, and analytics workflows

Features

Feature	Description
Founder Filtering	Filter founders by first name, last name, or company name.
Limit Control	Restrict the number of returned founder profiles.
Rich Profiles	Includes names, companies, industries, batches, and tags.
Structured Output	Returns clean, consistent records ready for analysis.
Scalable Design	Handles small queries as well as large founder datasets.

---

What Data This Scraper Extracts

Field Name	Field Description
id	Unique identifier of the founder.
firstName	Founder’s first name.
lastName	Founder’s last name.
fullName	Combined full name of the founder.
currentCompany	Current company affiliation, if available.
hackerNewsId	Associated Hacker News username.
avatarThumb	URL to the founder’s profile image.
currentTitle	Current professional title, if available.
companySlug	Identifier for the founder’s primary company.
topCompany	Indicates association with a top-ranked company.
allCompaniesText	Text list of all associated companies.
industries	List of industries the founder has worked in.
parentIndustries	High-level industry categories.
subIndustries	Detailed industry classifications.
currentRegion	Geographic region of activity.
titles	Historical or current titles held.
batches	Y Combinator batch participation.
tags	Metadata tags associated with the profile.

---

Example Output

[
  {
    "id": 585,
    "firstName": "Sam",
    "lastName": "Altman",
    "fullName": "Sam Altman",
    "currentCompany": null,
    "hackerNewsId": "sama",
    "avatarThumb": "https://bookface-images.s3.amazonaws.com/avatars/53d3aaf413bcd879484bbe18904199aeddfbaa1d.jpg",
    "currentTitle": null,
    "companySlug": "loopt",
    "topCompany": false,
    "allCompaniesText": "Y Combinator, Loopt",
    "industries": ["Consumer", "Social"],
    "parentIndustries": ["Consumer"],
    "subIndustries": ["Consumer -> Social"],
    "currentRegion": "Unspecified",
    "titles": [],
    "batches": ["S05"],
    "tags": ["ycdc_public"]
  }
]

---

Directory Structure Tree

🎉 Y Combinator Founders/
├── src/
│   ├── main.py
│   ├── filters/
│   │   ├── name_filter.py
│   │   └── company_filter.py
│   ├── models/
│   │   └── founder.py
│   ├── utils/
│   │   └── validators.py
│   └── output/
│       └── dataset_writer.py
├── data/
│   ├── sample_input.json
│   └── sample_output.json
├── requirements.txt
└── README.md

---

Use Cases

• Startup investors use it to identify founders and analyze their industry backgrounds for deal sourcing.
• Market researchers use it to study trends across Y Combinator batches and sectors.
• Recruiters use it to discover experienced founders for advisory or leadership roles.
• Founders use it to research peers and understand ecosystem dynamics.
• Analysts use it to build structured founder datasets for reports and dashboards.

---

FAQs

How do I filter founders by name or company? You can provide filter values for founder names or company names, and the system will return only matching profiles.

Is there a limit to how many founders can be returned? Yes, you can define a numeric limit to control the maximum number of profiles returned in a single run.

What format is the output data in? All data is returned in a structured JSON format, making it easy to integrate with databases or analytics tools.

Can this be integrated into automated workflows? Yes, the project is designed to work well in automated data pipelines and scheduled jobs.

---

Performance Benchmarks and Results

Primary Metric: Processes hundreds of founder profiles per run with consistent response times.

Reliability Metric: Maintains a high success rate with stable filtering and data extraction.

Efficiency Metric: Optimized data handling ensures low memory usage even on larger datasets.

Quality Metric: Outputs complete, normalized founder records with minimal missing fields.

"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington Marketer ★★★★★

"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza SEO Affiliate Expert ★★★★★

"Exceptional results, clear communication, and flawless delivery. Bitbash nailed it." Syed Digital Strategist ★★★★★