IsItDisposable

Three days ago I launched IsItDisposable on Product Hunt. Final scoreboard: position 41, 11 points, 1 comment, roughly 20 visitors, zero trial signups.

I am posting this because I read a hundred launch success stories before mine and approximately zero honest failures, so the sample I calibrated against was fiction.

The math I ignored: Product Hunt amplifies the audience you bring. It does not create one. I arrived with about a thousand quiet X followers, a handful of DMs to my network, and no PH following, onto a front page dominated by AI tools with rallied communities. Position 41 was not the platform rejecting the product. It was arithmetic doing what arithmetic does.

What the launch still banked, because launch pages outlive launch days: a permanent listing and backlink, G2 and Capterra profiles claimed the same week, founder reviews on two product pages, and a second launch slot waiting for v1.1. None of that shows on a leaderboard. All of it compounds.

Some context on the product, since this post is attached to it: I have worked in email deliverability since 2009, and IsItDisposable is the tool I kept wishing my clients had. It detects disposable and throwaway emails at signup against live DNS instead of a static blocklist. We published the research behind that choice last week: about 320 new disposable domains appear every day, and the most complete free blocklist on GitHub currently misses 61% of what is live. Static lists lose the race by design.

What I am doing instead of chasing leaderboards: the boring compounding layer. A monthly data report AI engines can cite. SDKs and an MCP server sitting where developers and agents actually look. Direct conversations with people in my industry, one of whom is currently the most promising lead of the entire sprint and came from a single personal DM. And a Show HN submission already written, because HN ranks what you can prove, not who you brought.

This is day 12 of a 90-day build-in-public sprint that already includes one full public confession of three weeks of fake progress, so the theme of posting real numbers is holding.

Question for anyone who has been through this: for those whose first launch flopped and whose product later worked, what actually turned it? I have my theory (distribution is a muscle, not an event), but I would rather hear from people past it.

$0 MRR, day 12, still here.