Report updated Jul 4, 2026
Sleep time record charts
For individuals seeking a manual, multi-user tracking tool for sleep duration and mood correlation.
Sleep time record charts is an established lifestyle app that is completely free.
What is Sleep time record charts?
Sleep time record charts is a manual sleep and mood logging utility for iOS that supports multi-user profiles on a single device.
Users hire this app for a low-friction, privacy-first way to track sleep without granting background sensor permissions or battery-draining automation access.
Current Momentum
v26.6 · 4w ago
Maintenance- Maintains manual-first logging utility.
- Supports multi-user profile management.
Active Nemesis
Sleep as Android: Smart alarm
By Petr Nálevka (Urbandroid)
Other Rivals
7-Day Rank Pulse 🇺🇸
LifestyleNo ranking data
Rating Pulse 🇺🇸
Gathering signals...
What makes this app unique?
What Does It Look Like?
Loading...
What Are The Key Features?
Automated duration math based on manual timestamps.
Support for multiple user profiles on a single device.
Shortcut to set current time via long-press gestures.
How much does it cost?
- Free
Distributed as a free utility with no visible subscription or in-app purchase gates.
Who Built It?
Enrichment in progress
Publisher profile available very soon
What other apps does YUTAKA IZUMIYAMA make?
What do users think recently?
Analysis in progress, available soon
What is the competitive landscape for Sleep time record charts?
Where is it available?
Localized markets (2)
How's The Lifestyle Market?
**Pricing Strategy**: Distributed as a free utility with no subscription gates or in-app purchases. **Target Audience**: Individuals seeking a manual, multi-user tracking tool for sleep duration and mood correlation.
Which niche is Sleep time record charts in?
Explore the full Sleep Players niche
Every app in this space (122 tracked), the niche's live rankings, and Marlvel's editorial take on the job-to-be-done.
The rivals identified
Nemeses(1)
This app is the primary nemesis because it dominates the sleep tracking category with advanced sensor-based automation, directly challenging the manual logging approach of the target app.
Differentiators
- Utilizes sonar and AI sound recognition for automated tracking, eliminating the need for manual bedtime input.
- Features complex CAPTCHA alarm tasks that force user engagement, significantly increasing utility over simple logging tools.
- Offers a massive ecosystem of integrations and long-term data analytics that create high user switching costs.
Head to head
The target app should pivot toward a 'minimalist manual logger' niche, as it cannot compete with the feature depth of Sleep as Android.
Contenders(4)
Competes by bundling sleep analysis with hardware-specific smart ring data, shifting the value proposition from manual entry to passive biometric monitoring.
Differentiators
- Integrates directly with wearable smart ring hardware to provide passive, objective sleep quality metrics.
- Focuses on holistic health data display, positioning sleep tracking as one component of a broader fitness ecosystem.
Challenges the target app by gamifying the sleep experience and enforcing behavioral habits through app-locking features.
Differentiators
- Implements an 'Early Sleep App Lock' to actively prevent late-night phone usage, a proactive behavioral intervention.
- Uses 'Dream Café' gamification elements to increase daily retention compared to the target's purely functional logging.
Directly competes by combining sleep logging with environmental soundscapes and physiological data, offering a more comprehensive nighttime experience.
Differentiators
- Provides a built-in sleep environment mixer, allowing users to customize audio landscapes for better sleep onset.
- Captures heart rate and breathwork data to provide a more clinical view of sleep health than manual charts.
A direct functional competitor that mirrors the target app's core value proposition of manual bedtime logging and habit tracking.
Differentiators
- Includes biological clock regulation tools that provide a more structured approach to habit formation than simple charts.
- Offers high-fidelity sleep sounds to assist with the bedtime routine, adding value beyond basic data recording.
Same space(3)
Shares the lifestyle category by focusing on the auditory environment of sleep rather than the data tracking aspect.
Differentiators
- Focuses exclusively on customizable audio themes, serving users who prioritize relaxation over quantitative sleep analysis.
- Operates entirely offline, providing a privacy-focused, low-bandwidth alternative to data-heavy tracking applications.
Competes for the same 'pre-sleep' user attention by providing specialized audio tools for sleep induction.
Differentiators
- Specializes in granular noise variations like fan simulations, catering to specific user preferences for white noise.
- Includes meditation support, broadening the app's utility to include mindfulness practices alongside sleep preparation.
Occupies the medical-adjacent sleep space, focusing on specific sleep quality interventions rather than general logging.
Differentiators
- Uses active vibration-based snore intervention to provide a tangible, corrective solution to sleep disturbances.
- Processes all data on-device, appealing to users with strict requirements for medical data privacy and security.
Compare Sleep time record charts 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 Sleep time record charts
Strengths to defend, gaps to attack
Core Strengths
- Multi-user profile management enables shared-device utility
- Long-press gestures reduce manual logging friction
- Zero-permission architecture appeals to privacy-sensitive segments
Critical Frictions
- Manual-only entry creates high user-effort churn
- Lack of automated biometric integration limits data depth
- No cloud-sync prevents cross-device data continuity
Growth Levers
- Implement basic wearable data import to bridge the automation gap
- Add export functionality for health-data portability
Market Threats
- Automated sensor-based trackers continue to lower the barrier to entry
- Habit-gamification apps capture the casual-user segment
What are the next best moves?
Ship CSV data export because users lack data portability → unlock long-term retention for power users
Manual logging apps require data portability to retain users who eventually move to more advanced tracking tools.
Trade-off: Pause the UI-refresh sprint; export is a higher-value utility for the current user base.
Audit the manual-entry flow for potential automation hooks because manual logging is the primary churn risk → reduce daily friction
Competitors like Sleep as Android remove manual entry entirely, creating a massive utility gap.
Trade-off: Deprioritize the multi-user edit features; the core logging flow needs more immediate attention.
A counter-intuitive read
The app's lack of automation is its primary moat, as it captures the segment of users who explicitly reject the background sensor permissions required by dominant rivals.
Feature Gaps vs Competitors
- Automated sensor-based tracking (available in Sleep as Android but absent here)
- Cloud-sync for cross-device data continuity (available in Sleep as Android but absent here)
Key Takeaways
- Manual logging is a high-churn workflow in a market dominated by automated, wearable-integrated solutions.
- Multi-user support is the primary differentiator, but it lacks the retention loops necessary to compete with gamified rivals.
- Future viability depends on pivoting toward a minimalist manual-tracking niche or integrating with existing health-data ecosystems.
Sleep time record charts succeeds as a minimalist, privacy-focused utility, but its manual-only design limits its appeal against automated competitors, so the team must prioritize data portability to retain power users who outgrow basic logging.
Where Is It Heading?
Stable
The sleep-tracking market is consolidating around automated, biometric-integrated solutions, leaving manual loggers in a shrinking niche. The app's future depends on serving the privacy-conscious segment that rejects these automated tools, so the PM must focus on data portability to keep these users from migrating to more comprehensive platforms.
The app maintains a stable, manual-first feature set, avoiding the feature bloat that complicates more complex sleep-tracking applications.
The lack of automated data entry creates a widening utility gap against sensor-based rivals, which will likely accelerate churn among casual users.
Sources
- [1] App Store, source