AppSignal — Full-stack monitoring for errors, metrics, and logs
Full-stack monitoring for errors, metrics, and logs
Promoted
Maker
đź“Ś
Hello đź‘‹
We’re a 3-person developer team from Korea, introducing Comolib!
Why did we build Comolib?
As Mac users, we constantly struggled with distractions—SNS, Slack, YouTube, emails, and more. You might think you’re productive, but actual screen time tells a different story. That’s why we wanted a tool that:
- Accurately reveals where your time really goes (not just “work/break”)
- Automatically blocks distractions (no willpower required)
- Delivers deep analysis of productivity patterns
- Stores all data 100% locally for total privacy
- Is completely free
What Comolib offers:
- Automatic screen time analytics & AI-powered activity classification
- Smart site/app blocking via local AI reports
- Tracks all apps/websites automatically—no manual timers needed
- AI trained on 300k+ data points (Dev, Design, SNS, Gaming, etc.) for precise insights
- Real pattern discovery (e.g., “Your peak focus is 2-3PM”)
- 100% local operation—no cloud sync or tracking
- Ultra-low battery use (like Runcat: impact <1.0)
Tech stack
- Swift/SwiftUI (macOS native)
- On-device machine learning (zero API calls or external tracking)
- SQLite for robust local storage
Current status
- Launched 3 months ago
- 100 daily active users, genuinely boosting focus & productivity
- Available in Korean and English
Coming soon:
- Community-made report templates (students, developers, freelancers)
- More languages (Spanish, French, Arabic, Russian)
- Custom rule and integration support
We’d love to hear your story:
- What’s your biggest productivity leak?
- How could Comolib support your workflow?
- Interested in our technology or team? Ask us anything!
Thank you 🙏
PS: We respond actively to every question and feedback!
