Traggo

Traggo is a self-hosted, open-source time tracker that takes a different approach to organising tracked time. Instead of forcing each entry into a single project under a fixed hierarchy, Traggo treats every entry as a labelled span on a timeline. Each span carries arbitrary tags — client:acme, project:website, task:design, billable, location:remote — and reports slice tracked time by combining those tags however the user wants. That makes Traggo a natural fit for consultants, freelancers, agencies, and product teams whose work crosses multiple dimensions and rarely fits a single project tree cleanly.

Common Use Cases

Freelancers and consultants use Traggo to track billable hours per client, per project, and per task simultaneously, then export filtered timesheets to CSV at the end of each invoicing cycle. Agencies share a single Traggo instance across a small team, with each user maintaining their own tagged timeline and managers running cross-team reports for utilisation, revenue mix, and staffing decisions. Product teams use Traggo to log how much engineering, design, and research time is spent on initiatives, capabilities, or customer requests, with the same entries surfacing in cross-cutting reports the next quarter. Indie developers and contractors track hours on side projects alongside day-job overflow, using tags like side, billable, and research to keep the streams separate without maintaining duplicate trackers. Researchers and writers track focused-work blocks against multiple in-progress topics, providing a long-term record of what they spent time on that survives deadline shuffling. Internal teams that bill back time to other departments use Traggo as a lightweight chargeback tracker, with monthly reports filtered by department tag.

Key Features

• Tag-based time tracking instead of fixed project hierarchies, supporting any number of orthogonal dimensions per entry
• Drag-to-edit daily timeline view that makes starting, stopping, splitting, and adjusting entries feel like editing a calendar
• Configurable dashboards with reports sliced by any combination of tags across user-chosen time ranges
• Multi-user accounts with admin and regular roles for sharing one instance across a small team
• Tag suggestions, autocompletion, and pre-defined tag sets for fast entry of recurring work patterns
• CSV export for tracked time, ready for billing, invoicing, or external analysis
• GraphQL API exposing the full data model for automations, custom dashboards, and integrations with other systems
• SQLite-backed persistence so a single binary plus one data volume covers the entire deployment
• Configurable bcrypt password strength and structured logging levels for predictable operations
• Lightweight resource usage — runs comfortably alongside other self-hosted services on a small VPS
• Open-source MIT licensing with active upstream maintenance and regular tagged releases
• Compact, modern web UI focused on dense information rather than corporate-grade chrome

Why deploy Traggo on Hostinger VPS

Running Traggo on a Hostinger VPS gives you a private, vendor-independent time tracker for client work, project tracking, and personal time accounting. Because timesheets often contain client names, billing rates, and project context that nobody wants flowing through a SaaS provider's analytics pipeline, self-hosting is a meaningful privacy and confidentiality upgrade for consultants and small agencies. Dedicated CPU and disk on a VPS keep the dashboard responsive even with years of historical data, and persistent volume storage keeps that history safe across container restarts and host upgrades. The Go binary plus SQLite footprint stays tiny, leaving plenty of headroom for other self-hosted services on the same instance — a common pattern for solo consultants who run their tracker, invoice tool, and notes app on one VPS. Combined with Traefik-based HTTPS routing on a clean branded hostname, the timesheet UI is reachable from any device while staying TLS-encrypted, and the GraphQL API can drive integrations into invoicing or reporting tools you already trust.