Provaqt

The problem

What it solves

Shift-based employers cannot tell whether staff actually showed up on site and on time, and staff cannot see how their pay was calculated. Provaqt makes each clock-in checkable: the employee opens a Telegram Mini App or the native app, which captures a selfie matched against an enrolled reference face and a GPS fix checked against the work location's radius. Verified shifts are converted straight into money — base pay from hours worked, a penalty proportional to minutes late, approved overtime, manual bonuses and deductions — visible to the employee the same day, while managers get arrivals, missed checkouts and overtime approvals pushed to them in Telegram.

Day one

What the boilerplate supplied

Before a line of Provaqt was written, these 9 packages were already working — auth with RBAC, a typed database layer, Redis caching, transactional email, shared types, the component library, and the setup CLI.

That was the baseline Provaqt forked from. ShipKit ships 18 packages and 7 apps today, so some of what follows is now included out of the box.

On top

What this project added

• ▸Check-in verification: a selfie matched by self-hosted CompreFace against an enrolled reference face, plus a GPS fix against the assigned location's radius. Both checks are per-employee — they apply once a reference face and a location are set.
• ▸A payroll engine turning shift records into daily pay: hours worked, lateness penalties scaled to minutes late, approved overtime, bonuses and deductions.
• ▸apps/telegram — a grammy bot plus a Telegram Mini App, so staff clock in without installing anything.
• ▸apps/mobile — an Expo iOS/Android app with 18 navigable screens.
• ▸Multi-tenancy, so one deployment serves several employers.

Wired in

Integrations and stack

Third-party services

Stack

Measured

By the numbers

Counted from the repository, not estimated.

Inside

A look at the product

More

Other apps on the same boilerplate