Installmap publishes research reports on the software that company websites run, measured across lists such as the Fortune 500, the Inc 5000 and Y Combinator, with the data behind each report.

This repository holds copies of the datasets published on https://installmap.com. Each folder under data/ matches one research post.

Dataset	Rows	What it counts	Research post	CSV
fortune-100-ai-homepage	571	Do the companies on these lists say AI on their homepage?	63 of the Fortune 100 leave AI off their homepage, Amazon and Tesla included	fortune500.csv fortune500_by_rank_band.csv groups.csv inc5000_by_industry.csv inc5000_by_rank_band.csv yc_by_industry.csv yc_by_year.csv
fortune-500-podcast-links	1,006	Podcast links on the homepages of four company lists	7% of Fortune 500 homepages link to a podcast. The industry figure is 38%	data.csv
klaviyo-vs-mailchimp-inc-5000	1,718	Newsletter signup forms and their providers across four company lists	Klaviyo beats Mailchimp 109 to 91 on the Inc 5000. Mailchimp leads YC 53 to 19	data.csv
llms-txt-adoption	3,980	llms.txt, llms-full.txt and robots.txt across four company lists	Half of the Inc 5000's llms.txt files were written by a plugin, not the company	data.csv
startup-vs-enterprise-stack	275	Startup and enterprise stacks, four company lists	Vercel is on 27% of YC homepages and 3.4% of the Fortune 500	data.csv
visitor-identification-tags	1,790	Visitor identification tags on four named company lists	No Fortune 500 homepage identifies visitors by name. 5.7% of YC homepages do	by_group.csv domains.csv fortune500_taggers.csv inc_by_industry.csv yc_by_year.csv
yc-stacks-by-batch	2,119	Y Combinator stacks by batch year, 2012 to 2026	Vercel hosts 51% of the newest YC batches, up from 8% in 2012-17	data.csv
group-denominators	4	Companies per group: on the list, counted, fetched rendered or plain, and with no record	How we count	group-denominators.csv

Rows are summed over the CSV files in a dataset. Each dataset folder from the site carries its own README.md (columns) and METHOD.md (how it was counted).

Load it

The installmap Python package fetches each CSV from https://installmap.com. It uses only the standard library; pandas is used if installed.

# pip install installmap
import installmap

installmap.list_datasets()
installmap.files("fortune-500-podcast-links")
rows = installmap.load("fortune-500-podcast-links")  # list of dicts
df = installmap.load("fortune-500-podcast-links", as_frame=True)  # pandas DataFrame

Or read the copy in this repository with pandas:

import pandas as pd

df = pd.read_csv("https://raw.githubusercontent.com/InstallMap/installmap-data/main/data/fortune-500-podcast-links/data.csv")

Citation

Installmap (2026). Installmap research datasets. https://installmap.com. Licensed CC BY 4.0.

Cite the research post when you use one dataset. CITATION.cff holds the same details.

License

Data in data/: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Credit Installmap and link to https://installmap.com.

Code in src/ and tests/: MIT.

Both texts are in LICENSE.