Customer Support X-ray

A customer-support platform can be excellent and still invisible. The self-service buyer - a DTC founder or ops lead - never starts at the platform; they start at a Google search, a Reddit thread, or a "best Zendesk alternatives" roundup, and those surfaces are already owned by Intercom, Zendesk, and Ada. So at the exact moment the buyer is looking for what the platform sells, it is the one name they never see. Outbound is saturated, you cannot out-rank a decade of SEO authority, and paid ads are distrusted by technical buyers. The real gap is the research moment itself - and how to show up inside it in a way incumbents cannot simply buy.

Customer Support X-ray is the minimum thing that is itself a distribution channel. Paste a store URL and in about 30 seconds it reads the store's public support surface (shipping, returns, FAQ, contact), then mirrors the store's own setup back: the top tickets, how they are handled today, how an AI agent would handle them with a reply grounded in the store's own policy, and a scorecard - automatable percentage, the real after-hours coverage gap, and cost at about a dollar per resolution versus agent time now. Two rules make it safe to send to a real founder: every "today" fact is pulled from the store's own pages, and every modeled number is labelled an estimate. A third decision makes it spread: when a store is too small or already well covered, the tool says so instead of selling - candour is the share trigger in a category polluted by self-interest. Every result has its own URL that previews as a rich social card, and every analyzed store is captured to a self-qualifying leads list. The build is deliberately lean: one server-rendered route, a single grounded Claude call, Redis for cache and leads, and no database or headless browser in the hot path.