Product updates

Until now, our keyword detection was limited to technologies — programming languages, frameworks, databases, and tools. While that's powerful for technographic targeting, it missed a whole class of signals: buying intent topics.

What changed

We now detect over 9,000 buying intent topic keywords across 14 new keyword types alongside our existing 32,000+ technologies. Every job is analyzed for these signals, and they roll up to the company level too.

Practical examples

Sell compliance software → Find companies mentioning GDPR, HIPAA, or SOC 2 in their job postings — they're actively hiring for compliance and likely need better tooling.

Sell ERP or CRM alternatives → Filter for companies whose jobs mention "ERP" or "CRM" as a software product keyword — they have a stated need but may not be locked into a specific vendor yet.

Sell benefits administration → Companies mentioning Health Insurance, 401k, and Paid Time Off in jobs are likely managing benefits manually — sell them a benefits platform.

Target Digital Transformation → Companies investing in AI Strategy or Net Zero initiatives are actively in transformation mode — sell consulting, integration, or change management services.

Sell safety equipment → Companies posting jobs with Solar Panels, Mining Safety Equipment, or Industrial Robots keywords are actively buying hardware and equipment.

UI — Job search & Company search

Search for buying intent topics directly in the app:

• Job search — Click + Add Filter, then search for "Buying Intent Topic". Select any topics to filter jobs that mention them.
• Company search — The Buying Intent Topic filter is available by default in the filter bar. Select any topics to find companies whose jobs mention them.

API

Buying Intents endpoint — New POST /v1/companies/buying_intents endpoint. Given a company domain, name, or LinkedIn URL, returns all detected buying intent topics with confidence level, job count, and date range. Costs 3 API credits per lookup.

Job search endpoint

New filters:

• keyword_slug_or — match jobs mentioning any of the given keyword slugs
• keyword_slug_and — match jobs mentioning all of the given keyword slugs
• keyword_slug_not — exclude jobs mentioning any of the given keyword slugs

New fields:

• keyword_slugs — all detected keyword slugs (technologies + buying intent topics) for the job

Company search endpoint

New filters:

• company_keyword_slug_or — match companies whose jobs mention any of the given keyword slugs
• company_keyword_slug_and — match companies whose jobs mention all of the given keyword slugs
• company_keyword_slug_not — exclude companies whose jobs mention any of the given keyword slugs

New fields:

• keyword_slugs — all keyword slugs (technologies + buying intent topics) found across the company's jobs
• num_keywords — total count of distinct keywords
• num_buying_intent_topics — count of non-technology keywords
• company_tags — replaces company_keywords (now deprecated)

List Keywords (Tech and Buying Intents) — GET /v0/catalog/keywords lists all keywords. Filter with keyword_type=technology for technologies only, or keyword_type_not=technology for buying intent topics only.

Webhooks

Use webhooks to automatically discover new jobs and new companies matching specific buying intent topics.

Dataset

The full buying intent dataset is available for download — see the Buying Intents Dataset page for delivery options, update frequency, and data fields.

Job datasets are now available with hourly granularity. Same Parquet format, same API — just partitioned by hour instead of by day. Files follow the path jobs/hourly/YYYY/MM/DD/HH/data.parquet, so integrating into your existing pipelines is straightforward.

An hourly subscription also includes access to daily and today's jobs datasets, so you don't lose anything — you just get data sooner.

• Fresher data — Access job postings within the hour they're detected.
• Backward compatible — Same schema, same tools. Just more granular.
• Includes daily access — No need to maintain a separate daily subscription.

Learn more about how datasets work or how to access them via direct download or S3 bucket credentials.

You can now archive, duplicate, or toggle alerts on a saved search directly from its detail page. A new three-dot menu sits next to the share button, giving you the same actions that were previously only available from the home page list.

• Archive — Archive the search and get redirected back to home.
• Duplicate — Create a copy instantly. The confirmation toast includes a link to open the new search right away.
• Enable / disable alerts — Switch daily or weekly alerts on or off without leaving the page.

This applies to both job searches and company searches.

Your webhooks can now include a signing secret so every delivery is cryptographically signed.

Until now, there was no built-in way to confirm that an incoming payload actually originated from TheirStack—your endpoint had to rely on source IP or URL alone.

Set a signing secret (minimum 16 characters) and every delivery will carry an X-TheirStack-Signature-256 header containing the HMAC-SHA256 signature of the raw payload. Recompute the HMAC on your side and compare to confirm authenticity and integrity.

In practice:

• Payload authenticity — Know for certain each delivery was sent by TheirStack, not a third party.
• Tamper detection — Any modification to the payload in transit will cause the signature check to fail.
• One-click setup — Generate a secret directly in the webhook form, or bring your own. Also available via the webhooks API.

See the verification guide for code examples and step-by-step instructions.

The problem: When filtering jobs by source domain, only the direct URL was checked. If a job was posted on a company career page but discovered through a job board like LinkedIn or Indeed, filtering by that job board wouldn't return it. You also had no visibility into how many jobs each source had.

The solution: The source filter now matches against both the job URL and the original source URL. When typing a domain, you get autocomplete suggestions showing the number of jobs per source—so you can quickly find and pick the right one.

• Multi-source matching — Filtering by "linkedin.com" now returns jobs originally discovered on LinkedIn, even if the job URL points to the company's career page.
• Job count suggestions — Domain suggestions show how many jobs are associated with each source, helping you pick the most relevant one.
• source_url in API responses — The job API now returns a source_url field alongside url, so you can see both where the job lives and where it was found.

We've added a dedicated API keys section in workspace settings.

Previously, you couldn't set expirations, revoke keys without losing history, or see all workspace keys in one place.

Now you get one screen per workspace with optional expiration when creating a key and revoke when you need to—usage history is preserved.

In practice:

• One place for all keys — See and manage every API key in the workspace from one screen.
• Expiration dates — Create keys that expire on a chosen date for temporary access or safer sharing.
• Revoke instead of delete — Revoke a key when it's compromised or no longer needed; you keep visibility into past usage.
• Workspace-scoped — Keys belong to the workspace, so switching workspaces shows the right set of keys.

The new API keys section is available in your workspace settings. We'll keep improving how you control and audit API access.

We've added workspaces so you can switch between them, create new ones, and edit their details—all from the sidebar.

Previously, keeping work for different teams or projects separate meant either logging in and out or mixing company lists, saved searches, and settings in a single account.

Now you can switch workspaces in one click from the sidebar. Company lists, saved searches, and settings stay separate per workspace. You can create new workspaces (up to 5 as owner) and edit names and details whenever you need to.

What this means for you:

• Switch without switching accounts — Move between workspaces in one click; no need to log out or lose context.
• Separate spaces for teams or clients — Use one workspace per team or client, or create one just for yourself.
• Full control — Create workspaces, edit names and details, and keep company lists and saved searches scoped to each workspace.

Workspaces are available now in the sidebar. We'll continue to improve how you organize and switch between your work.

The problem: Submitting feedback or requesting a missing technology required filling out an external form with no way to track your request's status.

The solution: A new Support Center lets you create and track requests directly inside the app. Click the help icon and select "Contact support" to get started.

Choose from five categories:

• Request a Technology or Buying Intent — Ask us to track a new technology, skill, certification, or topic we don't cover yet
• Report a bug — Something isn't working as expected
• Request a feature — Suggest a new capability
• Share feedback — Tell us what you think
• Other — Anything else (free text)

Each category has a guided form. You can attach screenshots and track your request's status from the tickets list.

You can also request a new technology directly from the technology filter — if your search doesn't match any known technology, click "request a new technology" in the dropdown.

We've added 25 new technologies to our detection system, expanding coverage across sales tooling, marketing and growth platforms, finance and billing software, and development infrastructure.

Sales

• 11x
• Cargo
• Centralize
• Nomination
• Qobra
• Rox
• Vieu

Marketing & Growth

• 6sense
• Addingwell
• Airscale
• N.Rich
• Topo
• Userled
• Waalaxy

Finance & Billing

• Autumn
• Lago
• LeanPay
• Stigg
• Upflow

Collaboration, Security & Developer Infrastructure

• Axonaut
• BetterContact
• Didomi
• Apache Iceberg
• Metronome
• Orb

We've updated our technology signals to automatically exclude recruiting agencies, staffing companies, and other firms that repost job offers on behalf of other companies.

Previously, results sometimes included companies that didn't provide meaningful value—firms that repost job offers for other companies rather than using the technologies themselves. This reduced the quality and relevance of your search results.

Now, when you search for companies using technology signals (technographics), you'll only see direct employers—companies that post jobs for their own positions.

What this means for you:

• More accurate results: Signals now reflect companies that actually use the technologies you're looking for
• Better targeting: Results focus on direct employers that are relevant for sales and marketing outreach
• Less manual filtering: No need to manually filter through irrelevant companies to find valuable ones

This filtering happens automatically in all technology signal searches, so you don't need to do anything differently.

We'll continue making improvements to maintain and enhance the accuracy and reliability of our data to deliver a better experience for all users.

You can now connect AI assistants like Claude, Cursor, or ChatGPT to TheirStack using the Model Context Protocol (MCP).

Ask your AI assistant questions in natural language and it will query TheirStack's data directly — no copy-pasting, no code needed.

What you can do

• Search jobs — "Find Python jobs in Berlin paying over 80k"
• Find companies — "Companies using Snowflake in Germany with 100+ employees"
• Explore tech stacks — "What technologies does Stripe use?"
• Browse catalogs — "List all AI/ML technology categories"

How to connect

Add TheirStack's MCP server to your client with your API key. Setup takes under a minute — see the full documentation for Cursor, Claude Code, Claude Desktop, Windsurf, and other clients.

MCP requests consume API credits at the same rate as regular API calls.

The problem: When you open a company profile to check its tech stack, you have to manually search through dozens of technologies to find the ones you care about. Every time, the same repetitive filtering.

The solution: You can now mark technologies as favourites. Starred technologies appear first everywhere — in company profiles and in search filters.

Open any company profile, search for a technology, and click the star icon to add it to your favourites.

From now on, when you open any company profile, your favourites appear at the top — so you can instantly check if a company uses the tools you're tracking. If a favourite technology is not detected for that company, it will still show up in the starred section marked as unknown, confirming the company is not using it.

You can also manage your favourite technologies from Settings → Preferences at any time.

Your favourites also appear at the top of the technology filter in company search, making it faster to build searches around the technologies you track most.

The problem: When you save companies to a list after searching by job title or technology, the list only shows basic company information. You lose the job and technology context that made those companies relevant in the first place — and exports don't include those fields either.

The solution: You can now click the "Add filter" button next to the search bar on any company list page.

This opens the company search with your list pre-selected as a filter, where you can:

• Re-apply job title or description filters to see matching jobs
• Add technology filters to see which tools each company uses
• Export results with job titles, technologies, and other fields included

This bridges the gap between your curated company lists and TheirStack's full search capabilities — so you never lose the context of why a company was added to your list.