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Triage LinkedIn connection requests at a glance — quality signals on hover for recruiters. Drowning in pending LinkedIn connection requests? ContactSifter filters and triages your incoming invitations for you — it reads each pending request on your invitation-manager page and labels it Strong, Maybe, or Weak against the roles, companies, schools and locations you actually hire for, so you can accept or ignore the whole pile in minutes. And it does it with zero account risk: no automation, no scraping, no messaging — it only reads what's already on your own screen. Built to respect your account (this is the important part) The whole LinkedIn-extension category is haunted by account bans from automation and scraping. ContactSifter does none of that. It never bulk-fetches profiles, never auto-connects, never sends messages, and never touches LinkedIn's servers on your behalf. A live safety meter right in the panel shows "0 background requests" so you can see it. No automation. No scraping. No AI. How it scores • Role match — understands common abbreviations (ML ⇄ machine learning, SWE ⇄ software engineer, Sr. ⇄ senior) and now matches accented and non-English names and roles too. • Boolean search — paste a full Boolean string (quotes, OR, AND, NOT, parentheses) and rank your whole pending pile against it. • Seniority — read from the job title. • Exclude keywords — auto-demote the spam you never want (crypto, MLM, "life coach", …) straight to Weak. • Personalised note & mutual connections — genuine, high-intent requests get a bump. • Education & location — preferred schools and target locations, on hover. Make
Sep 7, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
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Whether the listing includes at least one video.
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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.