Profflow
Net profit after every cost, day by day
A finished financial model of one store. Fixed screens, no building required.
Profflow connects to the accounts a store already runs — the store platform, the ad accounts, the payment processors — and reads them. Nothing is written back; every connection is read-only, and stays read-only.
What comes back is put through one model: revenue, refunds, VAT, cost of goods, payment and platform fees, advertising and fixed costs, resolved to the day an order was placed rather than the day money moved. Costs carry the date they changed, so a month that has closed keeps the figures it closed with.
The result is a single figure with its arithmetic attached. Every number on every screen can be opened to the lines beneath it, because a profit figure nobody can check is a profit figure nobody will act on.
Built for Shopify stores selling in Europe.
Hyros
Tracking sales back to the advertisement that caused them
A tracking layer that feeds the ad platforms, with an API and an MCP connection on top.
Hyros tracks visitors and sales across channels and devices, and its claim is that it catches conversions the ad platforms do not report. Their own illustration puts the gap at around 30% on the ad sets shown.
The second half is what the tracking is for: measured conversions are sent back to Meta and Google so their targeting optimises on real sales rather than platform-reported ones. Their public figures are a 15–20% improvement in ad return and a 10–15% fall in cost per acquisition, offered with a guarantee.
Around that sits an API and an MCP connection, so the tracking data can be pulled into an external assistant or a reporting stack and turned into whatever a team needs. What is not there, anywhere in their public material, is cost of goods, VAT or a profit and loss statement.
Built for Advertisers, agencies, info and call-based businesses as well as stores.