DealRaw: US trades leads for acquirers & agencies

Hey Product Hunt! 👋 I’m Pascal / Bunbeau, maker of DealRaw. If you’ve ever tried sourcing off-market SMBs or pitching SEO to local HVAC and plumbing companies, you know the drill: Data brokers sell you stale 6-month-old CSVs full of disconnected landlines. Platforms like ZoomInfo charge $10k/yr for corporate data that misses local trades operators. Cold outreach teams waste hours manually checking if a shop has a working site or neglected GMB profile. We built DealRaw to solve the source-and-pitch problem for US trades. We crawl, index, and score 4,000+ live listings across 27,000+ US cities (HVAC, plumbing, roofing, storage, laundromats, and more) with a relentless focus on signals over raw contact counts. On average, that's 100 to 300 additional leads... every day! Two primary workflows, one index: Acquirers & Search Funds: Identify tired operators via our 0–100 Owner Neglect Score, WHOIS metadata, and domain signals before brokers list them, and many more data points.... Agencies & Freelancers: Target local operators missing a website or running stale GMBs, save pipeline lists, and set daily alerts for new opportunities. The game-changer: - We built an official MCP Server for AI Agents. You can plug DealRaw directly into Cursor, Claude Desktop, or your custom workflows. Query our database natively inside your AI prompt without pulling manual CSV exports every time. - We came up with the Owner Neglect Score. It’s an algorithm we used internally to “quickly” launch our agencies from scratch so we could go after the low-hanging fruit (those without websites, etc.). Special PH Deal: We’re offering Lifetime Access for $985, alongside our team tiers from $395/mo (including daily alerts + full MCP access). We also published 60+ free templates and tools directly on site to help you close local deals faster. Check out the dashboard, run a few filters on your local metro, and test the MCP integration! I’ll be in the comments all day, ask me ANYTHING about US trades data, our neglect scoring algorithm, or setting up the MCP server!