
Dayflow
Dayflow is an open-source macOS app that automatically captures screenshots and uses AI to generate a structured, readable timeline of your workday, distinguishing between meaningful tasks and distractions without manual time tracking. The app processes data locally by default for privacy, with options to bring your own AI provider or opt into Dayflow Cloud for cross-device syncing. It's designed for developers, freelancers, and knowledge workers who want a truthful, automated record of where their time goes.
- Artificial Intelligence
- Applications
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Founders
Founder details are not available yet.
Product
Problem
Knowledge workers often lose track of how they spend their workdays, relying on manual time trackers that log app names rather than actual activities. This makes it hard to reflect on meaningful progress, identify distractions, and understand where time truly went.
Solution
Dayflow is an automatic work journal for macOS that captures screenshots at low frequency and analyzes them with AI to create a structured, readable timeline of your day. It distinguishes between actual work like "implementing OAuth token refresh" and distractions like "watching cat videos" without requiring manual tags or timers. The app produces descriptions, categories, and summaries for each activity, giving users a truthful record of their work. Privacy is built in by default: full recordings stay on your Mac, with local AI processing, and users can optionally bring their own AI provider or opt into Dayflow Cloud for cross-device syncing. The software is open source under the MIT license, making it auditable and transparent.
Target Audience
Primary users are individual knowledge workers, developers, researchers, and professionals on macOS who want a private, automated way to track their workday and improve productivity without manual time logging.
Features
- Automatic screen capture at low frequency with AI analysis to generate structured activity timelines
- Activity categorization across research, coding, communication, planning, and distraction detection
- Local AI processing by default, ensuring screenshots never leave the device
- Three processing modes: Local (on-device), Bring Your Own AI Provider (third-party keys), and Dayflow Cloud (opt-in, screenshots deleted after analysis)
- Open source under MIT license with full source code access and modification rights
- Data controls including entry deletion, full account deletion within 7 days, data export, and analytics opt-out
- Encrypted data in transit and at rest with provider restrictions against training on user data