Show HN: Swiftime - time tracking you can talk to, with an API for AI agents

Swiftime, a time-tracking tool designed for voice input and AI agent integration, launched on Hacker News. The product lets users log time through conversation and exposes an API for autonomous agents to track and manage time programmatically, addressing the friction of traditional time entry.

The tool targets users and workflows where hands-free logging is valuable — developers on calls, consultants juggling multiple clients, teams running on agent-driven processes. By accepting time data via natural language, Swiftime removes the friction of switching contexts to fill in timesheet forms or CLI commands. The API surface extends that capability to AI agents, which can autonomously log time based on activity inference, calendar data, or explicit commands from downstream workflows.

Swiftime enters a landscape crowded with time-tracking incumbents like Toggl, Harvest, and Clockify, but with a narrower, more directional pitch: voice-first entry and agent-native integration. As AI agents become more prevalent in knowledge work — scheduling, email triage, code review — the ability for those agents to self-report or log time on behalf of users becomes a point of integration. Swiftime's API-first design positions it as a potential backend for agent workflows rather than a replacement for existing trackers.

The product surfaced as a Show HN post, a signal that it's in early stage and actively seeking feedback from the builder community. No funding, user count, or commercial terms are public.