Product updates

Read more about it in this blog post.

Improved the performance** of job searches and company searches by **up to 30x** when using some of the following filters:

• company_name_partial_match_or
• company_name_partial_match_not
• company_location_pattern_or
• company_description_pattern_or
• company_description_pattern_not
• job_title_pattern_or
• job_title_pattern_not
• job_location_pattern_not
• job_description_pattern_not

This will have effect especially when passing large arrays of values in them (of 50+ elements). Queries that before would take ~50 seconds are now taking 2-3 seconds, according to our tests.

Before, when filtering jobs by keywords in job descriptions, matching_phrases and matching_words could be empty even when there were matches. We now extract the matching phrases and words from the job description.

We've added a large number of new technologies to our detection system, including:

• Opentofu
• MasterControl
• BurpSuite
• v0
• Lovable
• Windsurf
• Bolt
• WeWeb
• ZenQMS
• Qualio Life Sciences QMS
• ValGenesis
• Kneat
• ResQ
• Sware Res_Q
• Tricentis
• Tricentis Tosca
• Tricentis Neoload
• Tricentis qTest
• SAP Cloud ALM
• Siemens Polarion ALM
• Salesforce Health Cloud
• Tropic
• Trackingplan
• Payhawk
• PayEm
• ORO
• Moss
• Devin
• Cline
• Buck2
• a3innuva
• Ramp
• Builder
• Clio
• Yooz
• Augment Code
• Cursor
• Syntess Atrium
• Tonkean
• Opstream
• Flowie
• Payflows
• Omnea
• Spendesk
• TheirStack
• Bard AI
• Apollo.io

New filters url_domain_or and url_domain_not in Jobs Search endpoint and Company Search endpoint. This filter allows you to get jobs from specific domains: greenhouse.io, workable.com, linkedin.com, etc.

We've added new domain-based filters to both Jobs Search endpoint and Company Search endpoint:

New filters:

• url_domain_or - Find jobs/companies from specific domains
• url_domain_not - Exclude jobs/companies from specific domains

This allows you to target or exclude jobs from specific platforms like greenhouse.io, workable.com, linkedin.com, etc. Perfect for focusing on direct company postings or excluding certain job boards from your results.

We've standardized the error experience across all endpoints. The error object now consistently includes request_id, code, title, and message.

How to send a slack message for every new job found

We've improved error handling in the app. Notifications now show better titles and descriptions so you can understand what went wrong.

You can export all records from already revealed companies. This is useful if you want to export data without consuming credits.

Company searches that before took too long or were just impossible to run just take seconds. This would typically happen when adding job or technology filters to the search. Here are examples of such queries: - Companies using Snowflake, with a high confidence score in the usage of that technology, from the US. Now it completes in less than 5 seconds - Companies hiring data engineers in the US, UK or Canada. Now completes in 3-4 seconds as well

These and other slow queries are now 2-6x faster. These is how long queries would take before and after the improvement:

Previously, when scraping new jobs, we stored direct logo URLs from external sources. These links often broke due to expiration or CORS issues. We've updated our process to copy and host logo images on our own infrastructure. All newly detected companies will now use a permanent URL format: https://media.theirstack.com/company/logo/xxx.
These links are stable and can be used anywhere.

We have revamped our docs to make it easier to discover TheirStack and its features.

• Navigation: Added a new sidebar to the left of the page to help you navigate the docs in a more intuitive way.
• Merge similar pages: We've merged similar pages to avoid duplication and make it easier to learn about new topics.
• New dataset page: We've added a new page to the docs to help you learn about our datasets.