Report updated Jun 1, 2026
Silent-Night - Anti Snoring
For individuals who snore and their partners seeking a non-medical, natural method to reduce sleep disturbance.
Silent-Night - Anti Snoring is a challenged medical app that is completely free. With a 1.0/5 rating from 3 reviews, it faces significant user friction.
What is Silent-Night - Anti Snoring?
Silent-Night is a medical-category app for iOS that uses on-device machine learning to detect snoring and trigger vibration-based position changes.
Users hire the app to reduce partner sleep disturbance without relying on medical devices or cloud-based data storage.
Current Momentum
v3.0
- Implemented new design in latest release
- Improved reliability and performance metrics
Active Nemesis
SnoreLab : Record Your Snoring
By Reviva Softworks
Other Rivals
7-Day Rank Pulse 🇺🇸
MedicalNo ranking data
Rating Pulse 🇺🇸
Recent User Mood
What makes this app unique?
What Does It Look Like?
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What Are The Key Features?
App detects snoring sounds and triggers device vibrations to prompt a change in sleeping position
All audio evaluation and machine learning processes occur locally on the device with no cloud transmission
How much does it cost?
- Free access to all core snoring detection and vibration features
The app is currently offered as a free utility with no visible subscription or IAP gates.
Who Built It?
Providing non-invasive, positional-based solutions for individuals seeking to mitigate snoring and sleep disruption.
Portfolio
1
Apps
Explore the full Mobile Box - App Consulting UG (haftungsbeschraenkt) report
Portfolio breakdown, audience, momentum, and every app published by Mobile Box - App Consulting UG (haftungsbeschraenkt).
What do users think recently?
Low confidence · 0 reviews analyzed
How did the latest release land?
What is the recent mood?
Recent user voice shows a frustrated sentiment.
Limited review volume (0 reviews). Sentiment analysis will deepen as more data lands.
View the full user-sentiment analysis
Mood gauge, ratings & review-volume history, every praise / complaint / request, and sentiment over time.
What is the competitive landscape for Silent-Night - Anti Snoring?
How's The Medical Market?
Market outlook for this category
Available very soon
Which niche is Silent-Night - Anti Snoring in?
Explore the full Sleep Monitors niche
Every app in this space — 6 tracked, the niche's live rankings, and Marlvel's editorial take on the job-to-be-done.
The rivals identified
Nemeses(1)
Dominates the anti-snoring niche with a massive, long-standing user base and specialized focus on sleep sound analysis.
Differentiators
- Provides clinical-grade sleep sound analysis and snoring intensity tracking that goes beyond simple noise detection.
- Maintains a specialized focus on long-term snoring trends, allowing users to correlate lifestyle changes with snoring reduction.
- Offers a sophisticated data visualization suite that helps users identify specific triggers for their snoring patterns.
Head to head
The target app must pivot toward actionable health insights or specialized snoring interventions to compete with SnoreLab's established clinical-style data authority.
Contenders(2)
Directly targets the snoring niche with a pro-level positioning, though it lacks the high-velocity update cadence of larger competitors.
Differentiators
- Positions itself as a professional-grade tool for snoring management rather than a casual sleep monitoring utility.
- Includes specific anti-snoring intervention features that attempt to actively mitigate noise during the sleep cycle.
A direct, long-standing competitor that focuses exclusively on the snoring detection niche without the bloat of general sleep tracking.
Differentiators
- Offers a simplified, single-purpose interface that removes the complexity of general health and fitness tracking apps.
- Provides long-duration audio recording capabilities that allow users to review an entire night of sleep in one file.
Same space(3)
Focuses on the 'smart alarm' aspect of sleep tracking, competing for users who want to wake up feeling refreshed.
Differentiators
- Optimizes wake-up times based on sleep cycles to ensure users exit deep sleep before the alarm triggers.
- Provides a sleep debt calculator that helps users understand the long-term impact of their nightly sleep patterns.
A premium, design-focused sleep tracker that leverages deep Apple ecosystem integration to maintain high user retention.
Differentiators
- Features deep Apple Watch integration, allowing for heart rate and movement tracking without requiring the phone nearby.
- Employs a highly polished, aesthetic-first UI that differentiates it from the more clinical or utilitarian snoring apps.
A broad-spectrum sleep health app that competes for the same user attention but covers a much wider range of sleep issues.
Differentiators
- Integrates a massive library of sleep-inducing sounds and guided meditations to address the root causes of poor sleep.
- Utilizes a comprehensive wellness ecosystem approach that keeps users engaged through daily sleep coaching and habit tracking.
New entrants(1)
High-velocity development and frequent feature updates make this a significant emerging threat in the general sleep tracking space.
Differentiators
- Aggressive release cadence allows for rapid integration of user-requested features and quick bug resolution cycles.
- Combines multi-modal sleep data, including snoring, movement, and heart rate, into a single, unified dashboard view.
Compare Silent-Night - Anti Snoring against every rival
All rivals in one side-by-side table — identity, store metrics, ratings & sentiment, and strategic intel — plus a head-to-head page for each.
The outtake for Silent-Night - Anti Snoring
Strengths to defend, gaps to attack
Core Strengths
- On-device processing
- Offline-first operation
Critical Frictions
- 1.0-star rating
- No longitudinal tracking
- 0-review count
Growth Levers
- Wearable integration
- Clinical data export
Market Threats
- SnoreLab's clinical authority
- High-velocity competitors
What are the next best moves?
Audit detection algorithm because 1-star rating indicates failure to trigger correctly → recover rating baseline
The 1-star rating is the primary barrier to new user acquisition.
Trade-off: Pause the UI design refresh — algorithm accuracy is the critical retention lever.
Ship longitudinal trend tracking because competitors like SnoreLab use it to retain users → increase session frequency
Competitor analysis shows longitudinal data is the standard for snoring apps.
Trade-off: Deprioritize offline-mode updates — trend tracking is a higher-value retention feature.
A counter-intuitive read
The privacy-first, offline-only architecture is a liability in the sleep-tracking market where users demand longitudinal data visualization and cloud-synced insights to validate health improvements.
Feature Gaps vs Competitors
- Longitudinal snoring trend tracking (available in SnoreLab but missing here)
- Clinical-grade audio recording for medical consultation (available in SnoreLab but missing here)
Key Takeaways
The app offers a unique privacy-first approach, but the 1-star rating indicates the core detection mechanism is failing, so the PM must prioritize algorithm reliability over new features to prevent total churn.
Where Is It Heading?
Declining
The anti-snoring market is consolidating around apps that provide actionable, long-term health data. Silent-Night remains exposed due to its focus on immediate, unverified intervention, so the PM must shift toward data-driven insights to remain relevant.
The 1-star rating baseline indicates the core detection algorithm is failing to satisfy users, which will accelerate churn into the next quarter.
Lack of longitudinal data tracking prevents the app from competing with SnoreLab, limiting its ability to capture the power-user segment.