Can Hubstaff be vibe coded?
Track opt-in work time without screenshots, keystrokes, or hidden monitoring
A consolation build is possible, but the paid product's decisive value sits outside a solo rebuild. For Hubstaff, track opt-in work time without screenshots, keystrokes, or hidden monitoring. The hard boundary is workforce tracking, payroll, gps, scheduling, reports, and compliance operations, plus ubiquitous capture, coaching, and team workflow.
Jump to the build brief ↓Checked Jul 2026
What you pay today, before any DIY hosting
high editorial confidence
Buildability by layer
Screens, forms, and focused interactions
The repeatable job the product performs
Availability and legality of required data
Uptime, queues, support, and maintenance
Security, compliance, and user confidence
The achievable core
- Track opt-in work time and focused sessions without screenshots, keystrokes, or hidden monitoring, review patterns locally, and export a transparent activity record.
- Build a focused single-user workflow with real persistence, search, and export.
- A responsive interface with real empty, loading, success, and error states.
The parts a prompt cannot buy
- workforce tracking, payroll, GPS, scheduling, reports, and compliance operations
- cross-device history
- team timesheets and payroll
- behavioral datasets
- The last 20 percent is sync, migration fidelity, speed, and edge cases.
- Permissions, presence, and shared workflows are difficult to simplify.
Why people still pay
People still pay for Hubstaff because the timer is simple, but people pay for frictionless capture and a history they trust enough to invoice or change habits from. The recurring cost buys idle detection, permissions, app metadata, privacy, notifications, sync, reports, integrations, and backups, not just the visible interface.
The last 20 percent is sync, migration fidelity, speed, and edge cases.
Permissions, presence, and shared workflows are difficult to simplify.
The brief
Context, requirements, acceptance criteria, non-goals, and the full production standard — as Markdown, ready for any coding agent.
Build brief — a focused alternative to Hubstaff
Context
**Hubstaff** — Track opt-in work time without screenshots, keystrokes, or hidden monitoring. It currently costs $7/mo.
A consolation build is possible, but the paid product's decisive value sits outside a solo rebuild. For Hubstaff, track opt-in work time without screenshots, keystrokes, or hidden monitoring. The hard boundary is workforce tracking, payroll, gps, scheduling, reports, and compliance operations, plus ubiquitous capture, coaching, and team workflow.
This brief describes a focused, single-operator replacement for the part of Hubstaff that is genuinely reproducible. It is deliberately narrower than the product it replaces, and it says so in writing. Build the useful core; do not pretend to have rebuilt the rest.
What you are building
Track opt-in work time and focused sessions without screenshots, keystrokes, or hidden monitoring, review patterns locally, and export a transparent activity record.
Build a focused single-user workflow with real persistence, search, and export.
A responsive interface with real empty, loading, success, and error states.
Requirements
Functional
Desktop OS.
Notification permission.
Optional accessibility permission for app-name tracking.
Local SQLite.
Non-functional
Accessibility: semantic markup, labelled controls, visible focus, and reduced-motion support.
Security: server-side secrets, validated input, and no credentials in the client bundle.
Reliability: retries with backoff on external calls, and a clear failure state when a provider is down.
Portability: the operator can export their data and leave without losing it.
Implementation brief
Build a closest honest personal substitute for Hubstaff in an empty repository.
Use Tauri 2, React, TypeScript, SQLite, and optional OS accessibility APIs; do not offer alternative stacks.
The core loop is: track opt-in work time and focused sessions without screenshots, keystrokes, or hidden monitoring, review patterns locally, and export a transparent activity record.
Make the first run work locally with one documented command.
Store all user data locally by default and make export straightforward.
Put secrets in .env, ship .env.example, and never commit credentials.
Create one-click start and stop, manual entries, idle detection, tags, projects, and notes.
Keep any application-name tracking opt-in and never record window contents or keystrokes.
Add Pomodoro-style focus sessions, break reminders, and an optional allowlist blocker.
Provide daily, weekly, project, and category reports with editable corrections.
Export CSV and JSON and make the underlying event log inspectable.
Add automatic local backups and a privacy screen explaining every collected field.
Include clear empty, loading, success, and recoverable error states.
Add input validation, safe filenames, and graceful handling of unavailable APIs.
Write focused tests for the core transformation and one end-to-end happy path.
Create a README with setup, architecture, permissions, data location, and backup steps.
Do not add accounts, billing, telemetry, analytics, or a hosted control plane.
Do not claim to reproduce proprietary data, network liquidity, regulated access, or frontier infrastructure.
Deliberately leave out employee surveillance.
Deliberately leave out payroll and billing automation.
Deliberately leave out cross-device blocking and behavioral coaching services.
Finish by running the tests and listing the exact commands used.
Delivery standard
Inspect the repository first, then write a short implementation plan before writing code.
Deliver the smallest complete end-to-end workflow first; every primary control must work against persisted data.
Use real validation and storage; never substitute fake dashboards, decorative controls, hard-coded success states, or mock integrations.
Include responsive layouts plus genuine empty, loading, success, validation, and failure states.
Keep secrets server-side in environment variables, provide .env.example, and never commit credentials or user data.
Add structured logs around every external call and return actionable errors without leaking sensitive details.
Write unit tests for the core logic and one automated test of the main user journey.
Finish with a README covering setup, architecture, data location, backups, tests, deployment, and known limitations.
Acceptance criteria
A clean install starts the app using only the README and .env.example.
The primary journey works from first visit through saved result, reload, edit, export, and deletion where applicable.
Invalid input, missing configuration, provider failure, and an empty database each have a usable state.
The interface works at 390px and 1440px, is keyboard navigable, and shows visible focus on every control.
Tests, type checking, linting, and a production build all pass with no ignored failures.
No part of the interface implies a live integration, security guarantee, or scale capability that was not actually built and verified.
Non-goals
Do not build these, and do not claim to have replaced them:
Workforce tracking, payroll, GPS, scheduling, reports, and compliance operations.
Cross-device history.
Team timesheets and payroll.
Behavioral datasets.
The last 20 percent is sync, migration fidelity, speed, and edge cases.
Permissions, presence, and shared workflows are difficult to simplify.
What you still own after launch
Run migrations, backups, restores, and dependency updates.
Test the critical journey after every model, API, or hosting change.
Monitor failures and fix the edge cases a first prompt will miss.
Risk
**Manageable.** A personal version is realistic if you test the critical journey and keep reliable backups.
Editorial confidence in this assessment: high. No independent one-shot implementation is linked yet.
Prior art
Working open-source software you can read, fork, or borrow from before starting:
[Kimai](https://github.com/kimai/kimai) — Mature open-source time-tracking application with projects, reports, and exports
Generated by [Can It Be Vibe Coded?](https://www.canitbevibecoded.com) · Full report: https://www.canitbevibecoded.com/hubstaff
You still own the product
- Run migrations, backups, restores, and dependency updates.
- Test the critical journey after every model, API, or hosting change.
- Monitor failures and fix the edge cases a first prompt will miss.
Open-source prior art
Before you start
Can Hubstaff be vibe coded?
Not faithfully. A consolation build is possible, but the paid product's decisive value sits outside a solo rebuild. For Hubstaff, track opt-in work time without screenshots, keystrokes, or hidden monitoring. The hard boundary is workforce tracking, payroll, gps, scheduling, reports, and compliance operations, plus ubiquitous capture, coaching, and team workflow.
What can an AI coding agent reproduce from Hubstaff?
Track opt-in work time and focused sessions without screenshots, keystrokes, or hidden monitoring, review patterns locally, and export a transparent activity record. Build a focused single-user workflow with real persistence, search, and export. A responsive interface with real empty, loading, success, and error states.
What will a DIY Hubstaff replacement still be missing?
workforce tracking, payroll, GPS, scheduling, reports, and compliance operations; cross-device history; team timesheets and payroll; behavioral datasets; The last 20 percent is sync, migration fidelity, speed, and edge cases.; Permissions, presence, and shared workflows are difficult to simplify.
What do I still own after building a Hubstaff alternative?
Run migrations, backups, restores, and dependency updates. Test the critical journey after every model, API, or hosting change. Monitor failures and fix the edge cases a first prompt will miss.