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Research any prospect in 5 seconds. Get personalized cold emails that actually sound human. AI Email Personalizer Stop sending generic cold emails that get ignored. ReachOS researches your prospects automatically and generates personalized outreach that actually gets replies. How It Works Visit any LinkedIn profile or company website Click the ReachOS icon Get instant research + 3 ready-to-send email angles Features → LinkedIn Research Automatically extracts career history, skills, mutual connections, and recent activity from any LinkedIn profile. → 3 Personalized Email Angles Each email uses a different hook: Why Now? (industry trends affecting them) Why Them? (role-specific challenges) Why You? (career path insights) → Company Signals Scan any company website to find: Hiring signals (growing teams = budget) Recent news and product launches Tech stack analysis Recommended contacts to reach out to → LinkedIn Messages Get short, personalized connection requests optimized for the 300-character limit. Who It's For SDRs and AEs doing outbound prospecting Founders reaching out to potential customers Recruiters personalizing candidate outreach Anyone tired of writing "I came across your profile..." Pricing Free: 15 emails/month Starter ($39/mo): 250 emails Pro ($79/mo): 700 emails Team ($199/mo): 2,000 emails Privacy ReachOS only accesses data on LinkedIn and company websites you visit. We don't store prospect data or sell your information. Your research stays yours. Get Started Install the extension, visit a LinkedIn profile, and generate your first personalized email in under 10 seconds. No credit card required for free tier.
Jan 12, 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.