Timegate - A workforce attendance platform launch site

Attendance software sells against a habit rather than a competitor. The buyer already has a fingerprint reader at the door, a spreadsheet at the desk, and a monthly argument about who actually showed up, and they have priced that argument in as a cost of doing business. The site had to make the verification story legible in seconds, because a platform whose entire claim is that attendance can be proved has to look provable itself.

1. 1Led with the proof mechanism instead of the feature list: the hero states that every check-in is verified against the office Wi-Fi, the employee's bound device, and the location they are standing in, so the differentiator lands before any scrolling.
2. 2Built an interactive check-in widget into the hero so a visitor can tap through a punch and watch it resolve to verified for this branch, rather than read a description of it.
3. 3Structured the product story as four sequential moments - the tap, the verification, the approval routing, and the month-end close - so the buyer follows one record through the whole system instead of browsing disconnected features.
4. 4Wrote the branch-level model directly into the page, since multi-site operators are the buyer and per-location shifts, schedules, and grace periods are the objection that decides the deal.
5. 5Gave leave its own track through the page, employee to line manager to HR, because the leave workflow is what displaces the forwarded-email process the buyer is actually replacing.
6. 6Chose a book-a-walkthrough primary CTA over a self-serve trial, matching a considered purchase where the buyer wants to see verification running against their own branches before committing.

The site carries the verification argument end to end, from the hero claim through the four-moment walkthrough to the branch-level rules, so a visitor reaches the booking step already understanding what the platform proves and how it proves it. Sales conversations start at how it would run across the buyer's sites rather than at whether the data can be trusted.