Your month, ready to share.

The 11pm monthly-update problem

The build-in-public monthly recap is great for accountability and terrible as a task. By the time you have opened each payment dashboard, screenshotted the graphs, retyped the figures, and wrangled the formatting, the actual insight — how did the month go? — has drowned in busywork.

So the update slips. It goes out late, or vague, or not at all, and the compounding benefit of posting consistently quietly evaporates.

The End-of-Month Post, generated for you

VerifiedMRR keeps every product current with a daily sync, then turns the month into a ready-to-post recap in one click: a clean copy-paste write-up and a generated visual card — PNG or SVG — with your numbers already laid out on it.

You tweak the emoji and the wording if you want, then drop it into X, a newsletter, or a group chat and move on. The chore becomes a button.

Credibility, because the numbers are reconciled

A screenshot says trust me. A source-backed card says here is the number, straight from the processor. Because VerifiedMRR reconciles every figure from your connected payment accounts, the recap you post carries the weight of real data — not a hand-typed total that might be off by a refund or two.

That is the whole idea behind the name. The point is not to broadcast your revenue to a public leaderboard; it is to make the numbers you do choose to share obviously honest.

You stay private by default

Building in public does not mean living in public. VerifiedMRR is a private workspace first. Nothing is posted automatically, nothing is listed in a public directory, and if scoped monthly share links ship later, they will be something you switch on for a specific month — not a standing profile of your whole book.

It is the opposite of a public revenue database: you get the operating view privately, and share the slice you want, when you want.

What it is not

VerifiedMRR is not a social scheduler or a growth-hacking suite — it makes the numbers, you decide where they go. And it is not deep subscription analytics: if you want cohort and LTV depth on a single SaaS, a dedicated analytics tool fits better.