| title | emoji | colorFrom | colorTo | sdk | app_file | license | custom_domain | short_description | description | date_modified |
|---|---|---|---|---|---|---|---|---|---|---|
AwareFlow™ |
🌀 |
blue |
indigo |
static |
index.html |
mit |
awareflow.app |
A mindful habit companion built for iOS 26 — gentle awareness, subtle transformation. |
AwareFlow™ is a privacy-first companion app that detects subtle habits like sniffing or pen-clicking on-device and provides supportive insights for meaningful change. |
2025-11-25 |
Gentle awareness. Subtle transformation.
AwareFlow™ is a privacy-first iOS app that helps you gently notice unconscious nervous-system habits — sniffing, throat-clearing, pen-clicking, anxious fidgets, and more.
Built for iOS 26 using Swift 6.2, it combines on-device acoustic detection, context-aware insights, and supportive behavioral nudges to help you understand your patterns without judgment.
Subtle audible habits aren’t flaws — they’re signals.
Signals of attention shifts, stress cycles, sensory discomfort, or emotional overload.
AwareFlow reframes those signals as moments to understand yourself, not scold yourself.
👉 Read the full story: https://awareflow.app/story.html
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🌀 Detects subtle habits in real time
Powered by on-device audio analysis and personalized calibration. -
📊 Shows patterns, trends, and reflections
Track when habits happen, what you were feeling, and what environments play a role. -
🔔 Delivers gentle, private nudges
No shaming. No pushy fixes. Just small reminders that help you come back to center. -
🌟 Highlights long-term progress
Awareness streaks, contextual insights, and mindful shifts aggregated over time. -
🔐 Keeps your data yours
No raw audio stored. No audio transmitted. Ever.
Privacy is foundational — not a feature.
- 🎙️ Microphone access is session-based, not constant
- 🧠 Detection runs fully on-device, powered by Core ML + AVAudioEngine
- 🗑️ Raw audio is analyzed in memory and immediately discarded
- 🚫 No servers, no third-party analytics, no data sharing
- 📵 Zero advertising or tracking identifiers
Read more: https://awareflow.app/privacy.html
U.S. Provisional Patent Application No. 63/924,802
Filed November 25, 2025
Systems and Methods for On-Device Acoustic Habit Detection and Context-Aware Behavioral Insight Generation Using Personalized Sound Signatures and Multi-Source Metadata
This filing establishes the foundation for AwareFlow’s personalized, sensor-aware, privacy-centric detection engine.
- Swift 6.2 • iOS 26+
- SwiftUI-first architecture
- Core ML + AVAudioEngine for on-device acoustic detection
- Liquid Glass interface with Dynamic Type + motion-awareness
- Structured logging + localization + accessibility (VoiceOver, Reduce Motion)
- Cloud-ready architecture, but v1 is local-first for maximum privacy
- 🌱 Founder’s Story: https://awareflow.app/story.html
- 📘 Company Site: https://getsnaphabit.com
- 🧑💻 GitHub: https://github.com/getsnaphabit
- 📬 Support: support@awareflow.app
This project is licensed under the MIT License.
UI copy, branding, and trademarks remain proprietary to SnapHabit LLC.
Jason Babcock
Founder, SnapHabit LLC