Outbound email deliverability is broken because people buy dirty lead lists with 25%+ bounce rates that kill their domain reputation.
I built LeadPulse to fix this: an automated Python B2B lead scraper & live DNS MX verification engine.
What it does:
Crawls target domains for deep contact subpages (/contact, /about, /team)
Extracts emails, direct phone numbers, and social links (LinkedIn, X, GitHub)
Verifies active DNS Mail Exchanger (MX) records to keep bounce rates 3%
Exports clean, CRM-ready CSV and JSON datasets
Built with Python 3.13, BeautifulSoup, Pandas, dnspython, and Rich CLI. 100% unit test coverage.
Fully open-source on GitHub π
https://t.co/BW97ZzDffA
#Python #buildinpublic #webscraping #dataengineering #softwareengineering
Just benchmarked a commercial Shopify AI assistant with 1,800+ merchant reviews against OWASP LLM prompt injection and policy bypass vectors.
Result: 100% defense rate.
β’ Zero system prompt leakage
β’ Zero unauthorized discount concessions
β’ Zero social engineering policy bypasses
Why? Because mature e-commerce platforms understand that an unhardened customer-facing bot directly bleeds merchant revenue.
The reality: When auditing newly launched AI SaaS products, over 80% still deploy raw model APIs with zero deterministic guardrails.
If your team is deploying conversational AI without testing prompt injection boundaries, your business logic is completely exposed.
#AISecurity #OWASP #LLMOps #CyberSecurity #SaaS