5 items
Save job postings to your Twin-Seeker pipeline in one click, and autofill application forms with details from your account. Twin-Seeker keeps every role you are considering in one pipeline, so nothing is lost between a tab you meant to come back to and an application you meant to finish. This extension is how roles get into that pipeline. SAVE A ROLE WHILE YOU ARE READING IT Open a job posting and click "Add to Seeker". The role is saved to your pipeline with its title, company, description and link already captured, so there is no copying details into a spreadsheet and no losing the tab. FILL IN AN APPLICATION Open an application form and click "Autofill with Twin-Seeker". The details already saved in your account are entered at once: your name, email, phone number and profile links. It fills empty fields only. It never overwrites anything you have typed, and it never submits a form for you. You review everything before it is sent. WHERE IT WORKS Saving works on LinkedIn, Indeed and Glassdoor, and on company careers pages. Autofill works on application forms built with Greenhouse, Lever, Ashby or Workday, which is what most of those careers pages run on. WHAT YOU NEED A Twin-Seeker account — the free plan is enough — and an API key created in Settings and pasted into the extension once. WHAT IT DOES NOT DO It does not read your browsing history, and it does not run on any site outside the list in its permissions. It contains no analytics and no third-party trackers. Your data goes to one place: your own Twin-Seeker account. Twin-Seeker: https://twin-seeker.com Privacy policy: https://selfnode.me/privacy
Oct 19, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.