Product updates

The Company Type filter now does a better job of keeping staffing, recruiting, and other hiring intermediaries out of your Company Search results when you select Direct Employer.

That matters because many searches are meant to find final customers, not companies selling staffing or recruiting services. If you are looking for companies hiring data engineers, you usually want the employer building the data team, not an agency posting jobs for someone else. If you are looking for companies using Kubernetes, Salesforce, or Snowflake, a technology mentioned by an intermediary in a job post does not necessarily mean the intermediary uses that technology.

With this update, selecting Company Type → Direct Employer removes more of that intermediary noise from company searches, hiring-intent searches, technographic searches, exports, and API results.

Some recruiting firms were previously listed under broader industries like IT Services and IT Consulting, Business Consulting and Services, Software Development, or Hospitals and Health Care. They could still appear in Direct Employer searches even when their descriptions clearly said they offered staffing, recruitment, executive search, or talent placement services.

We now classify more of those companies as recruiting agencies, including companies that describe those services in English, Spanish, Portuguese, French, German, Dutch, Polish, Swedish, Danish, Norwegian, Finnish, Romanian, Hungarian, Czech, Slovak, Turkish, Korean, Arabic, Afrikaans, Japanese, and Hebrew.

Examples of companies this catches:

In production impact checks, this found 30,846 companies that were previously not marked as recruiting agencies.

Note: we are not changing the company's source industry. If a company is listed as IT Services and IT Consulting on LinkedIn or another source, we keep that industry as-is. This means you can still inspect the original industry, and to exclude third-party staffing and recruiting firms, use our Company Type → Direct Employer filter.

Use it in Company Search by selecting Company Type → Direct Employer.

55 million jobs that you couldn't find before — now you can.

When you searched for jobs in Greater London, Los Angeles County, Tokyo or any other county / borough / region / metro area, you'd get back a tiny fraction of the actual jobs in that area. The region a city belongs to wasn't being recorded correctly on most jobs, so when you filtered by that region, almost nothing came back.

We fixed the ingestion so every new job gets the right region tagged, and we backfilled every historical job in the database. 55.2 million jobs are now discoverable through region / county / metro filters that were previously missing them.

Examples

Jobs that match each filter over a 90-day window — click any row to run the search live:

What you need to do

Nothing. If you're already filtering by region IDs via job_location_or / job_location_not (the admin2_id-typed entries in the location catalog) or via the Job Location filter in the UI, your existing queries will start returning the correct, much higher counts. Historical results refresh automatically.

You can now export company search results in LinkedIn Audiences CSV format.

This export keeps only the columns LinkedIn uses to match uploaded company lists: company name, website, email domain, LinkedIn company page URL, and stock symbol. That means you can build an account list in TheirStack and upload it to LinkedIn Campaign Manager without reshaping the CSV by hand.

Use it when you want to build LinkedIn audiences from:

• Companies using specific technologies, such as Salesforce, Marketo, Snowflake, Databricks, or Kubernetes.
• Companies with hiring intent, such as teams hiring for data engineering, platform engineering, sales operations, or compliance roles.

The new format is available from the export modal in Company Search. See the LinkedIn Audiences integration guide for upload requirements, field mapping, and the official LinkedIn template.

Every row in Export History now has a See search button.

Click it and you land on the search page (jobs or companies) with the exact filters that were used to create that export — pre-applied. From there you can:

• Inspect what the export was built on, instead of guessing from the file name.
• Re-run the same search to get fresh results.
• Tweak a filter (add a country, widen the date range, change the keyword) and export again.

Previously, repeating an export meant rebuilding the entire query by hand. Now it's one click from the history table.

The button only appears when the export was built from a re-runnable search (job and company searches). It's hidden for older exports created before we started snapshotting filters, and for export types that aren't searches (company lists, technographics, keyword exports).

There's a new API entry in the sidebar — a single place to keep an eye on how you're using the TheirStack API.

What you'll find there

• Requests over time. A chart of your API requests with a date range picker, so you can spot spikes, drops, or quota issues at a glance.
• Recent requests. The last requests your account made, with one click to jump to the full request log.
• Popular endpoints. A side panel with the most used endpoints — Job Search, Company Search, Company Technologies, and Buying Intents — each with example use cases and a direct link to the docs.
• Shortcut to API Keys. One click from the top of the page to manage your keys.

If you've ever opened TheirStack just to check "is the API still working for me?", this is the page you wanted.

MCP lets AI assistants talk to TheirStack like any other tool — find companies, search jobs, look up technographics, all from a chat. We've had an MCP server for a while, but installing it meant hunting for the right config snippet for your specific client.

There's now a MCP page in the app that does that for you.

What's inside

• One-click install snippets for Claude Code, Claude Desktop, Claude.ai, Cursor, VS Code, ChatGPT, Windsurf, Cline, Codex, and Gemini CLI. Pick your agent, copy the snippet, paste it where it belongs.
• Example prompts you can copy with one click — things like "find SaaS companies hiring for Rust" or "list companies investing in AI strategy in the US" — so you don't have to figure out from scratch what the assistant is good at.

Open it from the sidebar under MCP, or read more in the MCP documentation.

There's a new Use cases page in the app — a filterable gallery of ready-to-run examples to show you what's possible with TheirStack.

Each card explains the goal of the use case, the filters that power it, and lets you open it as a search in one click. No need to figure out the right combination of filters from scratch — start from a working example and tweak it.

A few examples of what's already in the gallery:

• Find companies in M&A mode — companies actively integrating an acquisition, perfect for selling consulting or post-merger tooling.
• Find companies investing in compliance — GDPR, HIPAA, SOC 2. They have a real, active need.
• Find companies investing in ESG & sustainability — companies hiring around sustainability or net zero goals.
• Find companies scaling HR & benefits — those rolling out health insurance, 401k, or paid time off.
• Find companies using Salesforce / HubSpot / Snowflake — straight technographic targeting on top brands like Salesforce, HubSpot, Snowflake, AWS, or any of 32k+ technologies we track.
• Find companies running trade shows & events, buying safety equipment, trading commodities, working with government bodies… and more.

Each one is a real, tweakable starting point — open it, change a filter, and you've got your own list in a couple of clicks.

If you've ever wondered "what else can I do with TheirStack?", that's the page to start from.

The Webhooks page got a full redesign so you can see how your webhooks are performing without clicking into each one.

What's new

• Executions chart, side by side with the list. The page now has two columns: your webhook list on the left, and an executions chart grouped by webhook on the right. One look tells you which webhooks are firing the most, which ones went quiet, and which ones are erroring.
• Filter by status. A new status filter lets you focus on Active, Inactive, Archived, or All. Defaults to Active so the noisy archived ones stay out of the way.
• Filter by team member. On shared workspaces with many webhooks, filter the list to only the ones a specific teammate created.
• No more gaps in the chart. The chart now plots every day in the range, even days with zero events — so trends are easier to read.

More on how webhooks work in the webhooks documentation.

You can now find people on Instantly.ai directly from TheirStack's company search results.

How it works

1. Select companies in any job or company search on TheirStack.
2. Click Find people → Instantly.ai.
3. A new tab opens on Instantly's Lead Finder with the company domains and job titles already pre-filled.

Configure default roles

The job titles we pre-fill on Instantly come from your integration settings. Change them once and they'll apply across all integrations (Apollo, ContactOut, LinkedIn, and now Instantly).

Check out the full guide in our Find people documentation.

What changed: Regex patterns in job description filters (job_description_pattern, job_description_pattern_and, job_description_pattern_not) are now case-sensitive by default. Previously, all patterns matched case-insensitively.

Why: Case-sensitive matching gives you more control. You can now distinguish between acronyms like "AI" and words like "aid", or match "React" without catching "react" in unrelated contexts.

What to do if you need case-insensitive matching: Add the (?i) flag at the beginning of your pattern. Everything works exactly as before — you just need to opt in explicitly.

Examples

Without (?i), \bpython\b now only matches "python" in lowercase — it will not match "Python" or "PYTHON". With (?i), it matches all three, just like before.

API example

{
  "job_description_pattern_and": [
    "(?i)\\bpython\\b",
    "(?i)\\bML.?Ops\\b"
  ]
}

The (?i) flag works on all regex-based job description filters in the Jobs API and Company Search API, as well as in the app UI.

You can now filter job postings by seniority level, both in the app and the API.

We classify every job into one of five levels: Junior, Mid-level, Senior, Staff, and C-level. This lets you narrow results to the experience band you care about without relying on keyword tricks in the job title or description.

In the app

Open Job Search, click + Add Filter, and select Seniority Level. Pick one or more levels and the results update instantly.

Try it: Junior Software Engineer jobs in the US

In the API

Use the job_seniority_or parameter in the Jobs API or the Company Search API:

curl -X POST https://api.theirstack.com/v1/jobs/search \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "job_country_code_or": ["US"],
    "job_title_or": ["software engineer"],
    "job_seniority_or": ["junior"],
    "posted_at_max_age_days": 30,
    "limit": 10
  }'

Accepted values: junior, mid_level, senior, staff, c_level.

Available now in Job search and the Jobs API.

Company Enrichment just got a major upgrade. It now lives on its own dedicated page with a guided workflow that supports both technologies and buying intent topics.

What changed

Previously, the enrichment flow only supported tech stack lookups via a small modal where you had to paste company identifiers. Now it's a full page accessible from the Enrich item in the sidebar, with a completely redesigned flow.

The biggest change: you now start by choosing what you want to enrich with — technologies, buying intent topics, or both — before providing your list of companies. This makes the experience more intentional and lets you browse the full catalog of available signals before committing your company list.

New guided flow

1. Select technologies and intent topics — Browse and select from the full catalog of technologies and buying intent topics you want to check across your companies.
2. Choose your input method — Pick between CSV upload or manual input.
3. Provide your companies — Depending on your choice:
   • CSV Upload: Drag & drop a CSV file, then map columns (web domains, company names, or LinkedIn URLs) with auto-detection and preview.
   • Manual input: Paste or type company web domains, company names, or LinkedIn URLs directly.

Why this matters

• Beyond tech stacks — Enrich companies with buying intent topics, not just technologies. Find companies showing purchase signals for the categories you care about.
• Flexible input — Choose between CSV upload for bulk enrichment or manual input for quick lookups. No more being forced into one workflow.
• Smarter flow — By selecting your enrichment criteria first, you avoid uploading a company list only to discover the signal you need isn't available.
• Easier to find — Enrichment is now a first-class feature in the sidebar, not hidden behind a button on the home page.

Check out the full guide in our enrichment documentation.

The problem: You could search job descriptions with regex, but you couldn't require several patterns to all appear together. Building a search like "must mention ML Ops AND query performance" previously required constructing a combined regex of the form pattern1.*pattern2.*...*patternN — covering all N! permutations. That means dynamically generated, unmaintainable patterns that get extremely long and slow, and break entirely beyond a handful of patterns.

The solution: A new Matches all (regex pattern) operator on the job description filter. Provide multiple regex patterns; every pattern must match. Available via job_description_pattern_and in the Jobs API and Company Search API. Use | within a pattern for OR, and (?i) to make it case-insensitive.

Example: find ML Ops roles that also mention query performance

{
  "job_description_pattern_and": [
    "(?i)\\bML.?Ops\\b|\\bmachine learning operations\\b",
    "(?i)\\bquery optim\\w+\\b|\\bquery performance\\b|\\bslow quer\\w+\\b"
  ]
}

Returns jobs whose description matches every pattern — no permutations, no length limits.

Available now in Job search and Company search (click + Add Filter → Job Description), and in the Jobs API and Company Search API via job_description_pattern_and.

The problem: You could search job descriptions for keywords, but you couldn't exclude them. Filtering out noise like "intern", "junior", or "entry level" required post-processing results by hand.

The solution: A new Does not contain any of operator on the job description filter, available in the app and the API. Exclude jobs whose description mentions any of the given words. Available via job_description_contains_not in the Jobs API and Company Search API.

Example: exclude noise from a specific search

{
  "job_description_contains_or": ["compliance", "regulatory"],
  "job_description_contains_not": ["intern", "junior", "entry level"]
}

Find companies actively hiring for compliance roles, excluding junior positions.

Available now in Job search and Company search (click + Add Filter → Job Description), and in the Jobs API and Company Search API via job_description_contains_not.

Sales and marketing teams with buying intent data have a simple advantage over the ones without: they know which prospects are ready to buy, so they stop wasting time and budget on the ones that aren't.

Until today, TheirStack only surfaced one kind of signal: what technologies a company uses. Powerful for technographic targeting, but it missed a whole category of buying signals. The compliance push, the equipment buy, the M&A integration, the strategic initiative that tells you a company is actively in-market for your product.

Jobs: the strongest intent signal there is

You should be selling pain killers, not vitamins. And there's no better place to find real pains than in job postings. TheirStack extracts buying intent signals from hundreds of millions of them, across 1.9k+ sources, refreshed every day.

Jobs let you find pains that are urgent, burning, and expensive:

• ⚡ URGENT. Happening right now. We scrape jobs continuously. Find companies going through this pain at this very same moment, or subscribe to real-time signals and get them pushed to you the moment one appears.
• 🔥 BURNING. Too big to ignore. Would a company hire a full-time person to fix something they could already solve with what they have? No. If the pain's in a job post, it's a problem they couldn't shake.
• 💰 EXPENSIVE. Money is already on the table. Hiring is the most expensive fix for a problem. Six figures a year, plus the overhead of managing people and the time to find top talent. If a company is signing up for that, they'll happily pay you to fix it more efficiently.

Buying intent data is now live across TheirStack

We now detect over 9,000 buying intent topics from the millions of jobs companies post every day, alongside our existing 32,000+ technologies. Every signal is confidence-scored, linked back to the evidence (the exact job posting that triggered it), and refreshed daily.

Some things you can do with it today:

• Sell compliance software. Find companies actively hiring for GDPR, HIPAA, or SOC 2 work. They have a real, active need and are likely between vendors.
• Sell ERP or CRM alternatives. Spot companies whose job postings mention "ERP" or "CRM" as a software product keyword. They've raised their hand but may not be locked into a vendor yet.
• Sell benefits administration. Companies posting jobs mentioning Health Insurance, 401k, and Paid Time Off are managing benefits manually. Sell them the platform.
• Target companies in transformation. Filter for companies investing in Digital Transformation, AI Strategy, or Net Zero. They're actively changing. Sell them consulting, integration, or change management.
• Sell industrial equipment & safety. Companies hiring around Solar Panels, Mining Safety Equipment, or Industrial Robots are actively purchasing.

The full catalog: 14 categories, 9,000+ topics

How to get buying intent data into your workflow

Four ways to use it, depending on how you sell:

• In-app search. Open Job search or Company search, click + Add Filter, pick "Buying Intent Topic", and go. Works in both job-level and company-level search.
• API. New keyword_slug_or / keyword_slug_and / keyword_slug_not filters in Jobs search and Company search. Plus a dedicated POST /v1/companies/buying_intents endpoint to look up any company by domain and get its full buying intent profile.
• Real-time signals. Subscribe to a topic and get notified the moment a new company starts investing in it. Delivered via webhook, Zapier, N8N, or Make. Perfect for sales teams that don't want to check a dashboard every morning.
• Bulk dataset. The full buying intent dataset delivered daily to your S3 bucket. For data teams, CRM enrichment pipelines, and analytics workloads.

The Buying Intents landing page has the full overview, and the docs cover the underlying data model and how we score confidence.

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.