VIDADOR
VIDADOR is an un-gamified, local-first health and habit tracker built around four concrete routines: sleep, water, steps, and meditation.
VIDADOR’s README describes a direct reaction to gamified biometrics: no saturated reward loops, no badge economy, no noisy charts, and no push-notification theater.
The alternative is deliberately structural. Information is presented through typography, thin rules, monochrome contrast, and explicit actions so the app can be checked quickly and closed quickly.
SLEEP, WATER, STEPS, MEDITATION, and SETTINGS operate as separate views while sharing the same visual and local-data architecture.
Sleep is manually declared instead of being guessed by continuous wearable analytics. An active session records its start locally; ending it calculates the exact elapsed duration and adds it to chronological history.
Hydration entries are timestamped and aggregated for the current day against a fixed 3,000 ML target. Quick increments make common logging actions explicit and fast.
The steps view uses a 12-month calendar matrix. Device step-count input can feed the live record through the pedometer stream, while any date can also be opened for retrospective numeric entry.
The active countdown stays visually quiet. When the timer reaches zero, the module uses a local color inversion as its completion signal instead of animated radial meters or noisy alerts.
The Settings screen stays intentionally flat: interface theme, privacy policy, data privacy, website bridge, and feedback are kept as explicit rows and expandable blocks instead of being buried behind icon-heavy navigation.
These are the original VIDADOR screenshots referenced by the current repository README — shown here instead of fabricated browser mockups.
The water module stores each intake as a timestamped record, then sums today’s entries into a bounded progress ratio. There are no animated waves or radial completion rings — just the ledger and the number.
Quick increments. +250 ML, +500 ML, and +750 ML controls cover common log sizes.
Chronological ledger. Each intake can be seen and dismissed directly from the history list.
Explicit target. The current system target is 3,000 ML per day.
VIDADOR’s current architecture uses Hive for local persistence and Riverpod for isolated state flow. The repository describes the app as air-gapped, zero-telemetry, and network-isolated, with biometric records stored in local app sandbox partitions.
Tap, log, start, stop, or edit a metric.
Notifier logic mutates the isolated in-memory state.
Data serializes into dedicated local boxes.
The relevant viewport updates immediately.
VIDADOR’s visual rules are unusually strict — and that discipline is what makes the screenshots feel instantly recognizable.
Monospace typography carries information. Icons are structural, not decorative.
Pure dark or pure light. Hierarchy comes from scale, weight, and line structure.
Sharp containers, thin dividers, and explicit wireframes replace soft cards.
Views use flat, rigid structures designed to remain predictable on-device.
Precise numeric entry and confirmation states make logging intentional.
The product goal is to record, audit, and return attention to the physical world.
The current repository exposes an Android APK release. Install the alpha, log a few days, and feed the project with real-world feedback.
Vidador tracks essential health metrics including sleep windows, nutritional logs, and physical movement without background telemetry.
You manually log the precise moment sleep starts and ends, keeping control entirely in your hands.
Yes, it interfaces directly with your device's native step counter to map your movement onto a unified yearly grid.
Nowhere. All records remain completely on your local device stored inside an encrypted SQLite database.
Tell us where logging feels slow, where the system is unclear, or what information you want surfaced next.