Hubbit: AI Habit Tracker

Hubbit is an iPhone habit tracker built around a simple idea: habits make more sense when you understand the context behind them. Instead of only counting streaks, it pairs check-ins with mood, energy, difficulty, and optional reflections to help people spot the patterns behind their progress and setbacks.

Context-rich habit check-ins — Each check-in can capture mood, energy, difficulty, and notes alongside habit progress.

AI-powered journaling — People can write free-form or guided journal entries, connect them to habits, and capture more of the emotional context behind a day.

Personal pattern insights — Hubbit turns journal entries and check-ins into individual insights around triggers, routines, and recurring behaviour patterns.

Smart reminders — Habit schedules, interval check-ins, milestones, and vulnerability-window reminders help users show up at the moments that matter.

Mood and energy analytics — Calendar heatmaps, streaks, and mood and energy trends make long-term progress easier to see.

Voice journaling — Premium users can speak their reflections and have them transcribed for later search and review.

Home screen widgets — Widgets keep habits visible without requiring users to open the app.

Privacy controls — Users can export or delete their data, with journals kept private and protected.

As Founder and Sole Developer, I shaped the product and built the end-to-end iPhone experience, from the habit-tracking and journaling flows to the AI insights, reminders, and purchase experience.

Flutter and Dart power the cross-platform app interface. Firebase supports the product backend, while RevenueCat manages subscriptions and premium access.