1 item
Quick apply and autofill job applications in one click. Track jobs, companies, resumes & more! RefNet.AI is a ground-breaking, network centric, job application platform where job-seekers not only find high-fit jobs, but also discover true network connections (not just LinkedIn acquaintances) for potential referrals. Its also comes included with co-pilot, application auto-fill, resume and network assistance, customized resume, cover letter and referrer request drafts tailored to individual jobs and lots more... WHAT IT DOES: • Discover high-fit jobs as well as true 1st and 2nd degree network connections (not just weak LinkedIn connections) to those jobs for potential referrals. • Scale your job and referral outreach using LLM capabilities embedded in the product • Autofill job applications seamlessly across major ATS platforms • Generate AI-tailored resumes customized to each job description • Generate personalized cover letters in seconds • Create Gmail drafts with your cover letter pre-filled and resume attached as PDF • Save and reuse your answers across multiple applications HOW IT WORKS: 1. Signup and log in to RefNet account 2. Review/update your profile and network 3. See high-fit job matches both IN and OUT of your network 4. Generate targeted network outreach drafts, resumes and cover letters tailored to each job. 5. Navigate to any job application page, and let RefNet.AI handle the repetitive parts — so one can focus on the conversations that matter. Designed to help candidates get better outcomes in their job search by leveraging their super-power - their network!
Oct 20, 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.