| title | emoji | colorFrom | colorTo | sdk | app_file | license | custom_domain | short_description | description | date_modified |
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AwareFlow™ |
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index.html |
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awareflow.app |
Notice your habits before someone else does. Privacy-first habit awareness for iOS. |
AwareFlow™ is a privacy-first iOS app that helps people notice unconscious audible habits like sniffing and throat clearing before they affect relationships. On-device ML detection with gentle, non-judgmental awareness — no audio ever stored or transmitted. |
2026-02-07 |
Notice your habits before someone else does.
AwareFlow helps people become aware of subtle audible habits — the sniffs, throat clears, and sounds we don't realize we're making — before they damage the relationships we care about. Designed for anyone who's been told "you're doing it again" and wants to notice for themselves, AwareFlow uses on-device machine learning to gently build awareness without shame, surveillance, or judgment. All audio is processed locally and never stored or transmitted. Privacy isn't a feature — it's the architecture.
Millions of people live with misophonia — a strong emotional reaction to certain sounds. For their partners, family members, and coworkers, the unconscious habits that trigger these reactions can quietly erode relationships.
AwareFlow was built for the person making the sound, not the person hearing it. It's the first app that helps people notice their own audible habits privately, so they can build awareness on their own terms.
The app is awareness-first, nervous-system-safe, and calm by design. It is not corrective, punitive, or behavior-policing. AwareFlow exists to create space, not pressure.
Read the founder's story: awareflow.app/story
Real-time habit detection — Place your phone nearby and tap Listen. Custom-trained sound classifiers running entirely on your device identify habits like sniffing and throat clearing as they happen.
Contextual pattern insights — Each detection is enriched with time of day, ambient noise, calendar context, weather conditions, and optional emotional state. Over time, AwareFlow identifies when and why your habits show up.
Gentle, private awareness — No scolding, no raw counts, no shame. AwareFlow describes patterns ("more active than usual today") and celebrates engagement ("thanks for checking in"). Rest maintains your streak.
Personalized calibration — Sniff Lab captures your environment and habits to tune detection thresholds for your unique sound profile, without retraining the model.
On-device AI coaching — Powered by Apple Foundation Models (iOS 26+), insights are generated entirely on your device. No cloud, no data sharing.
Privacy is foundational — not a feature.
- Microphone access is session-based, not constant
- Detection runs fully on-device via CoreML and AVAudioEngine
- Raw audio is analyzed in memory and immediately discarded
- No servers, no third-party analytics, no data sharing
- Zero advertising or tracking identifiers
- Production builds have zero detection-related console output
We literally cannot hear you. The technology makes it impossible.
Read more: awareflow.app/privacy
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
Four patent pillars: on-device detection, personalized calibration, contextual metadata enrichment, and an on-device insights engine.
- Swift 6.2+ with strict concurrency (iOS 26.3+)
- SwiftUI-only architecture — no UIKit views
- CoreML + AVAudioEngine for on-device acoustic detection (CPU-only inference)
- SwiftData for local persistence, CloudKit for optional sync
- StoreKit 2 for Apple-managed commerce
- Apple Foundation Models for on-device AI coaching
- Structured logging, localization, and full accessibility (VoiceOver, Dynamic Type, Reduce Motion)
Explicitly not used: Firebase, RevenueCat, Combine for app logic, third-party UI frameworks, or any external analytics.
AwareFlow is in TestFlight with external beta testers. Two habit classifiers are trained and active (sniff and throat clearing), with five more planned. The Gentler System — an awareness-first philosophy inspired by Gentler Streak's Apple Design Award approach — is the foundation for all user-facing messaging.
- Founder's Story: awareflow.app/story
- Company: getsnaphabit.com
- GitHub: github.com/getsnaphabit
- Support: support@awareflow.app
This is a proprietary project. All rights reserved by SnapHabit LLC. UI copy, branding, detection models, and trademarks are proprietary to SnapHabit LLC.
Jason Babcock Founder, SnapHabit LLC
Built with empathy. Designed with calm. Shipped with clarity.