August 2026 Release Notes - People Data Labs Documentation

Release Name	Dataset Version	Publish Date
August 2026	v35.1	08/18/2026

Welcome to our August 2026 release notes! The end of summer is just around the corner, but that doesn’t mean the fun has to stop! This month, we’ve got some significant updates to our new Technology Data, some updates for our Company Funding Details bundle, and a host of other data quality and freshness improvements for you to enjoy. Check it out:

🔮 Technology Data Improvements: 3x more technologies and 6 new fields to give you a more complete picture of a company’s technology usage and adoption
💰 More Funding Details Fields: 3 new fields to help display investor information more easily
🔧 Data Quality & Coverage Improvements: More GitHub data and better title tagging!
📊 Freshness Updates: This past month, we refreshed 30M+ resume experiences and detected 2.7M+ job changes across our global dataset

✨ Release Updates

Technology Data Improvements

Company Data Beta ✨ Product Update 📐 Schema Change What’s New? This month, we’re excited to share several significant improvements to the Technology Data fields we recently introduced within our Company Data Schema. Our new Technology Data fields offer a fresh take on traditional technographics by using workforce-based signals to identify the technologies companies likely use. This month’s updates include:

A 3x expansion of the number of technologies tracked in our dataset
A new set of fields displaying dates of signals and adoption

Number of Technologies Tracked

July 2026 (v35.0)	August 2026 (v35.1)
8,597	25,566

Our technologies_used fields track a fixed number of canonical technologies by identifying specific mentions across job postings and resume work experiences. At launch last month, we were monitoring roughly 8,000 canonical technologies. This month, we’ve more than tripled that number and are now tracking over 25,000 unique technologies. This expansion unlocks a significantly broader view of the technology landscape, and enables Technology Data users to discover, analyze, and act on more signals across more companies. For additional stats, see the Technology Data coverage section below. New Technology Data Fields We’ve also added additional Technology Data fields as a fast follow to our release last month. Technographics are often a black box when it comes to the timeliness of the represented signals. As part of our commitment to transparency, we’ve added timestamps of the first and last observation for each source of signals in our Technology Data. We’ve also created a statistically inferred range, built off the observations (but excluding outliers) to create PDL’s “best estimate” of when a technology was used by the company.

FIELD NAME	FIELD TYPE	FIELD BUNDLE	FIELD DESCRIPTION
`job_posting_first_observed`	`String (Date)`	Technology Data	The earliest date in which a technology is mentioned in a job posting associated with the company.
`job_posting_last_observed`	`String (Date)`	Technology Data	The latest of the final observed date (inactive job postings) or most recent data build (active job postings) in which a technology is mentioned in a job posting associated with the company.
`resume_first_observed`	`String (Date)`	Technology Data	The earliest date in which a technology is mentioned in work experience associated with the company.
`resume_last_observed`	`String (Date)`	Technology Data	The end date (inactive work experience) or most recent data build (active work experience) in which a technology is mentioned in resume work experience associated with the company.
`inferred_first_used`	`String (Date)`	Technology Data	A proprietary PDL calculation representing the first point in which the company was most likely to be using a technology.
`inferred_last_used`	`String (Date)`	Technology Data	A proprietary PDL calculation representing the most recent point in which the company was most likely to be using a technology.

Example

{
  "technologies_used": [
    {
      "product_id": "aV8mYR0sZFCrWvdkco07nwi7tGTt",
      "name": "Databricks",
      "num_job_posting_mentions": 14,
      "job_posting_first_observed": "2024-12-08",
      "job_posting_last_observed": "2026-07-01",
      "num_resume_mentions": 6,
      "resume_first_observed": "2020-06-01",
      "resume_last_observed": "2026-07-01",
      "inferred_first_used": "2024-12-08",
      "inferred_last_used": "2026-07-01"
    },
    {
      "product_id": "ZNJNyjIICYIBrhIOyxG5iQfQvzLt",
      "name": "Apache Spark",
      "num_job_posting_mentions": 14,
      "job_posting_first_observed": "2024-12-08",
      "job_posting_last_observed": "2026-07-01",
      "num_resume_mentions": 5,
      "resume_first_observed": "2021-05-01",
      "resume_last_observed": "2026-07-01",
      "inferred_first_used": "2024-03-01",
      "inferred_last_used": "2026-07-01"
    }
  ]
}

Why It Matters These new fields provide observation counts from company job postings and employee work experiences, along with freshness indicators for each technology signal. Together, they give you more context into both the strength and recency of a company’s technology usage. Combined with our increased coverage, these updates provide a more complete picture of technology usage at individual companies, as well as broader market adoption and penetration across technologies. Availability These fields are now available through the Technology Data beta bundle for select Company Data customers. To ask about joining the beta, please reach out to your account team. For more details, see the technologies_used field reference, the Company Data Field Bundles page, and the Example Company Record.

New Funding Details Fields

Company Data GA ✨ Product Update 📐 Schema Change What’s New This month, we’re also releasing a new set of investing_companies_details fields for our Funding Details bundle within our Company Schema. These fields make it easier for users to access and display information about a company’s investor entities. New Funding Details Fields

FIELD NAME	FIELD TYPE	FIELD BUNDLE	FIELD DESCRIPTION
`investing_companies_details`	`Array (Object)`	Funding Details	Object containing all associated companies participating in the funding event.
`investing_companies_details.investing_company_display_name`	`String`	Funding Details	The displayable names of investing companies participating in the funding event.
`investing_companies_details.investing_company_id`	`String`	Funding Details	The PDL IDs of investing companies participating in the funding event.

Example

{
  "investing_companies_details": [
    {
      "investing_company_id": "1xJFYjurbJy1OUqmwhF76ADMReXB",
      "investing_company_display_name": "Andreessen Horowitz"
    }
  ]
}

Why This Matters Previously, customers using the Funding Details bundle had no way of displaying investor information without additional processing. The existing investing_companies field contains only PDL Company IDs, which require additional data or API calls to resolve into displayable company names. The new investing_companies_details field complements the existing investing_companies field by providing displayable company names directly in the company record, removing the need for additional processing steps. This is a lightweight, but meaningful update intended to make our Funding Details data easier to work with. Availability These new fields are immediately available to all customers currently receiving the Funding Details field bundle or custom bundles that include the investing_companies field. Additional Resources For field definitions, examples, and additional documentation, see the Company Schema and Company Data Field Bundles pages.

🚀 Data Updates

Freshness

The number of resume experiences and locations verified in our datasets (based on the job_last_verified and location_last_updated fields). Monthly (v35.0 → v35.1)
Freshness updates over the past month.

Dataset	Geography	Field	Records Updated
Resume	Global	`experience`	30,769,403
Resume	Global	`location`	29,432,860
Resume	United States	`experience`	15,270,033
Resume	United States	`location`	14,517,173

Job Changes

The number of person records where the primary job experience changed in our Person Dataset (based on the job_last_changed field). Monthly (v35.0 → v35.1)
Job changes detected over the past month.

Dataset	Geography	Records Updated
Resume	Global	2,741,832
Resume	United States	918,203

🌐 Coverage

Monthly Highlights (v35.0 → v35.1)

Resume Dataset

Linkage	Coverage in v35.0	Coverage in v35.1	Increase (%)
Total Records	814,778,903	814,867,031	0.01%
`github_url`	1,994,722	2,075,559	4.05%

Developer Dataset

Linkage	Coverage in v35.0	Coverage in v35.1	Increase (%)
Total Records	4,083,001	4,166,504	2.05%
`linkedin_url`	1,743,324	1,819,345	4.36%
`id`	4,085,892	4,169,337	2.04%

Company Dataset

Linkage	Coverage in v35.0	Coverage in v35.1	Increase (%)
Total Records	74,753,971	74,785,388	0.042%
`technologies_used`	6,349,659	6,462,182	1.77%
`active_job_postings`	108,549	109,709	1.07%
`deactivated_job_postings`	108,549	109,709	1.07%

Job Posting Dataset

Metric	Coverage in v35.0	Coverage in v35.1	Increase (%)
Total Records	37,001,534	40,614,651	9.76%
Total Unique Companies	108,626	109,824	1.10%
Total Active Postings	6,188,347	6,293,692	1.70%

Technology Data

Coverage in v35.0	Coverage in v35.1	Increase (%)
8,597	25,566	197.38%
7,553	22,249	194.57%
6,349,659	6,462,182	1.77%
51,098,313	53,635,904	4.97%
180,400,858	186,560,858	3.41%

Commentary

Person Data
- We saw a ~4% increase in the number of linkages between linkedin_url and github_url across both our resume and developer datasets.
Company Data
- We saw a 1.77% increase in the number of company records with technologies_used, building on the broader Technology Data improvements described above.
Technology Data
- We saw a 3x increase in the number of canonical technologies tracked and observed in our dataset this month.

🛠 Improvements and Bug Fixes

Improvements

Refined CXO Title Tagging
- We updated our executive-level tagging to prevent job titles containing phrases like “Office of the CEO” from being classified as cxo-level positions.
GitHub Data Improvements
- We are continuing to increase coverage of our developer dataset by increasing the number of github_url’s that we can track and link to linkedin_url’s.
- This month we saw another 4% increase building on the previous few months of improvements in this area (see stats above).

​✨ Release Updates

​Technology Data Improvements

Number of Technologies Tracked

​New Funding Details Fields

​🚀 Data Updates

​Freshness

​Job Changes

​🌐 Coverage

​Monthly Highlights (v35.0 → v35.1)