> ## Documentation Index
> Fetch the complete documentation index at: https://docs.peopledatalabs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# August 2026 Release Notes

| 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](#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](#new-funding-details-fields)**: 3 new fields to help display investor information more easily
* 🔧 [**Data Quality & Coverage Improvements**](#improvements-and-bug-fixes): More GitHub data and better title tagging!
* **📊 [Freshness Updates](#freshness)**: This past month, we refreshed [30M+ resume experiences](#freshness) and [detected 2.7M+ job changes](#job-changes) across our global dataset

***

## ✨ Release Updates

### Technology Data Improvements

<Badge color="blue">Company Data</Badge> <Badge color="purple">Beta</Badge> <Badge color="yellow">✨ Product Update</Badge> <Badge color="silver">📐 Schema Change</Badge>

**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](/docs/company-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:

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

<Card title="Number of Technologies Tracked">
  | July 2026 (v35.0) | August 2026 (v35.1) |
  | :---------------: | :-----------------: |
  |       8,597       |        25,566       |
</Card>

Our [`technologies_used`](/docs/company-schema#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](#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`](/docs/company-schema#technologies_used) | `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`](/docs/company-schema#technologies_used)  | `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`](/docs/company-schema#technologies_used)      | `String (Date)` | Technology Data | The earliest date in which a technology is mentioned in work experience associated with the company.                                                                                           |
| [`resume_last_observed`](/docs/company-schema#technologies_used)       | `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`](/docs/company-schema#technologies_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`](/docs/company-schema#technologies_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**

```json theme={null}
{
  "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](/docs/company-data-field-bundles#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`](/docs/company-schema#technologies_used) field reference, the [Company Data Field Bundles](/docs/company-data-field-bundles#technology-data) page, and the [Example Company Record](/docs/example-company-record).

***

### New Funding Details Fields

<Badge color="blue">Company Data</Badge> <Badge color="green">GA</Badge> <Badge color="yellow">✨ Product Update</Badge> <Badge color="silver">📐 Schema Change</Badge>

**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](/docs/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**

```json theme={null}
{
  "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](/docs/company-schema) and [Company Data Field Bundles](/docs/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`](/docs/fields#job_last_verified) and [`location_last_updated`](/docs/fields#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`](/docs/fields#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)

<Card title="Resume Dataset" href="/docs/resume-stats">
  | 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%        |
</Card>

<Card title="Developer Dataset" href="/docs/developer-stats">
  | 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%        |
</Card>

<Card title="Company Dataset" href="/docs/company-stats">
  | 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%        |
</Card>

<Card title="Job Posting Dataset" href="/docs/jp-stats">
  | 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%        |
</Card>

<Card title="Technology Data">
  <div style={{whiteSpace: "nowrap"}}>
    | Metric                                                                                                                                                                         | Coverage in v35.0 | Coverage in v35.1 | Increase (%) |
    | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------- | ----------------- | ------------ |
    | <Tooltip tip="The total number of standardized technologies included in our technology taxonomy and available for identification.">Technologies Tracked</Tooltip>              | 8,597             | 25,566            | 197.38%      |
    | <Tooltip tip="The number of distinct technologies observed across all companies in the dataset.">Technologies Observed</Tooltip>                                               | 7,553             | 22,249            | 194.57%      |
    | <Tooltip tip="The number of companies for which at least one technology has been observed.">Companies with Technology Data</Tooltip>                                           | 6,349,659         | 6,462,182         | 1.77%        |
    | <Tooltip tip="The total number of unique company-to-technology relationships observed in the dataset.">Observed Company\<>Technology Pairs</Tooltip>                           | 51,098,313        | 53,635,904        | 4.97%        |
    | <Tooltip tip="The total number of times technologies are referenced across the underlying data sources used to identify technology usage.">Total Technology Mentions</Tooltip> | 180,400,858       | 186,560,858       | 3.41%        |
  </div>
</Card>

### 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](#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](#coverage)).


## Related topics

- [August 2024 Release Notes](/changelog/august-2024-release-announcement-v271.md)
- [August 2025 Release Notes](/changelog/august-2025-release-notes-v311.md)
- [June 2026 Release Notes](/changelog/june-2026-release-notes-v342.md)
- [January 2026 Release Notes](/changelog/january-2026-release-notes-v330.md)
- [February 2026 Release Notes](/changelog/february-2026-release-notes-v331.md)