Kelsey Todd

Find leadership, team, sales, support, recruiting, press, and contact-form paths on company websites for account mapping.

Compare competitor App Store reviews to find complaints, missing features, and product gaps.

Monitor pricing pages, changelogs, and product pages for buying-trigger changes.

Turn company websites into CRM-ready contact rows with best-contact picks, persona hints, and confidence scores.

Track GitHub releases and changelogs to spot product updates, launches, and breaking changes.

Find recurring complaints and product pain points in public GitHub issues.

Search Hacker News launches and comments for traction, objections, and product feedback.

Find recurring complaints, tool requests, and unmet needs in Hacker News discussions.

Return one clean best-contact row per company website with email, phone, LinkedIn, and form data.

Track npm package downloads, releases, maintainers, and adoption signals.

Find repeated developer problems on Stack Overflow and turn them into research-ready signals.

Find repeated developer problems in Stack Overflow questions and turn them into demand signals.

Compare old and new versions of a page to spot messaging, SEO, or positioning changes.

Compare old and new versions of a page to spot messaging, SEO, or positioning changes.

Compare WordPress plugin reviews to find competitor weaknesses and missing features.

Scrape WordPress plugin reviews and summarize complaints, praise, and feature requests.

Detect Microsoft data-stack adoption from public Greenhouse and Lever job boards.

Compare archived website snapshots through the Wayback Machine and extract page-history change signals.

Exhaustively searches Project Gutenberg's 70,000+ free ebooks using multi-page pagination and smart filtering. Perfect for academic research, finding complete author works, or discovering books on specialized topics. Gets all results, not just the first page.

Search Reddit for app ideas, unmet needs, alternatives, and product gaps.

Find the best contact on a company website with source URLs, confidence scores, and cleaner output.

Scrape App Store reviews and summarize complaints, praise, ratings, and feature requests.

Pull competitor ads from the public Meta Ad Library with ad copy, CTAs, landing pages, and angle tags.

Search Reddit for complaints, recommendations, alternatives, and buying-intent signals.