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Analyze LinkedIn, Reddit, Twitter/X, Quora, and Nextdoor posts for buying intent and get AI-generated reply suggestions LeadDiggr scans social media posts for buying intent so you can find leads before your competitors do. HOW IT WORKS: Log into any supported platform (LinkedIn, Reddit, Twitter/X, Quora, or Nextdoor) Open the LeadDiggr extension and enter your target keywords Click "Start Scan" — the extension automatically scrolls through search results Each post is scored by AI on a 0-100 intent scale High-intent leads are saved to your dashboard with a suggested reply you can copy and use FEATURES: AI-powered intent scoring (0-100) with high, medium, and low classifications Automatic scanning — no manual clicking required Smart reply suggestions generated for each lead Works across 5 major platforms: LinkedIn, Reddit, Twitter/X, Quora, and Nextdoor Live progress tracking showing analyzed posts, high-intent finds, and saved leads Human-like browsing speed to keep your accounts safe Dashboard to manage and review all your saved leads Team plans available for collaborative lead generation WHO IT'S FOR: Sales teams looking for warm leads Freelancers and agencies finding new clients Small business owners discovering local customers Marketers identifying engaged audiences Anyone who wants to find people actively looking to buy PLANS: Pro ($29/mo) — Individual lead generation with 3-day free trial Team ($79/mo) — Up to 5 members with shared leads and 3-day free trial Get started at https://leaddiggr.com
Apr 28, 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.