Dayflow
FreemiumAutomatic work journal that turns your screen into a timeline of what you actually accomplished.
By Tanmay Verma, Founder · Last verified 03 Jul 2026
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Added 6d ago
77/100Safe BetIn short
Dayflow — Automatic work journal that turns your screen into a timeline of what you actually accomplished. Best for Freelancers wanting automated time tracking without manual entries, Remote knowledge workers tracking daily accomplishments, Developers who value open-source, transparent tooling. Free to start; paid plans from $20/mo.
Is Dayflow actually worth it?
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Editorial Verdict
Best for
Freelancers wanting automated time tracking without manual entriesRemote knowledge workers tracking daily accomplishmentsDevelopers who value open-source, transparent toolingPrivacy-conscious users who want local-only processing
Not ideal for
Users who need cross-platform support (Windows/Linux) – Dayflow is Mac-only for nowTeams requiring built-in SSO or enterprise data retention without paying for Enterprise tierPeople who prefer manual time tracking with precise start/stop timers
Dayflow is a beautifully executed automatic work journal for Mac that solves a real pain point: reconstructing what you actually did all day. Its local-first, open-source approach is a breath of fresh air for privacy-conscious users. The freemium model is generous, and the AI summaries are genuinely useful. However, the lack of a Windows version and enterprise features behind a contact paywall limit its reach.
Compare with: Dayflow vs mymind, Dayflow vs Otter.ai, Dayflow vs Notta
Last verified: July 2026
What independent users actually report about Dayflow
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
16 mentions across 2 sources (Hacker News, Lemmy).
33% positive67% critical
Recurring strengths
- +Automatic screen capture with AI-powered context understanding.
- +Local-first storage keeps all data on your machine.
- +Local AI via Ollama/LM Studio for privacy-conscious users.
- +Open source (MIT) allows full transparency and audits.
- +Lightweight: uses ~100MB RAM and under 1% CPU.
Recurring frustrations
- −First AI processing can take 30+ minutes to show results.
- −Mac-only; no Windows or Linux support yet.
- −No automatic client detection for freelancers.
- −Some users uneasy with constant screen recording.
- −Limited integrations compared to competitors.
Patterns worth knowing
Privacy and local control are key selling points but not enough to overcome recording reluctance.
Seen on Hacker News
Initial user experience suffers from long wait for first AI cards.
Seen on Hacker News
Desire for more automation features like client detection for freelancers.
Seen on Hacker News
Learning curve
beginnerProductive in ~5 minutes
Hidden costs people mention
- • Cloud AI (Gemini, ChatGPT, Claude) requires your own API key and may incur usage costs.
Viability Score
77/100
Safe BetHow likely is Dayflow to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
55
funding runway
80
website health
90
wrapper dependency
100
Last calculated: July 2026
How we score →Key Features
- Automatic screen recording and activity capture
- AI-powered timeline with granular activity classification (Research, Coding, Communication, etc.)
- Daily and weekly summary generation
- Chat interface to query your work history
- Local-first storage: screenshots and database stay on your Mac
- Local AI support via Ollama/LM Studio
- Bring-your-own-key for cloud AI (Gemini, ChatGPT, Claude)
- Open source code (MIT license) for transparency and audits
- Privacy settings to control what data is sent to cloud
- Lightweight background process (~100MB RAM, <1% CPU)
- One-click update generation for standups or progress reports
- Distraction tracking (identifies non-work activities like watching YouTube interior design videos)
About Dayflow
FreemiumIntermediateNo APIDesktop
Dayflow is an open-source, local-first Mac app that automatically captures your screen activity and uses AI to build a detailed timeline of your workday. It understands the context of your work—distinguishing between researching on YouTube and watching cat videos—so you never have to manually tag or categorize. The app runs quietly in the background (around 100MB RAM, under 1% CPU) and stores all screenshots and data locally on your machine. For privacy-conscious users, Dayflow supports Local Mode with Ollama/LM Studio, so nothing leaves your computer; alternatively, you can bring your own API keys for cloud AI providers like Gemini, ChatGPT, or Claude. Designed for developers, freelancers, and knowledge workers who want truthful, automated reflection on their productivity, Dayflow transforms effort into a readable story of your day, complete with daily and weekly summaries. It is backed by Y Combinator and has over 6,100 GitHub stars, with the source code available under the MIT license.
Behind the Verdict
Dayflow is a standout tool for anyone tired of manual time tracking or trying to remember what they did last week. Its AI-driven timeline is surprisingly accurate at classifying activities—it can tell coding from planning from YouTube rabbit holes without any tags. The local-first design (all screenshots and DB on your Mac) is a privacy win, and the option to run entirely offline via Ollama/LM Studio is rare in this space. The Pro tier at $20/month removes usage limits, but the free tier with local AI or Gemini free tier is genuinely capable for many users. That said, Dayflow is Mac-only (macOS 14+), so Windows or Linux users are out of luck—though a Windows version is in the works via waitlist. If you need cross-platform support, alternatives like Toggl or Clockify work everywhere, but lack Dayflow's automatic context understanding. If you're a freelancer or remote worker on a Mac, Dayflow is worth trying; it might change how you think about productivity tracking. The open-source code (MIT) and YC backing add credibility, but the Enterprise tier requires contact for pricing, which may deter small teams that need SSO. Overall, a solid choice for Mac users who want effortless, private time tracking.
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Use Cases
- Automatically log your workday into a searchable timeline with AI-generated summaries.
- Generate daily standup updates in one click without relying on memory.
- Identify time spent on distractions vs. productive work with automatic activity classification.
- Use local AI to keep all sensitive data on your machine while still getting smart insights.
- Review your weekly progress and plan the next week with context from previous days.
Models Under the Hood
GeminiChatGPTClaudeOllamalm-studio
Limitations
- Dayflow is currently only available for macOS (Windows version coming but no release date).
- The Free tier requires you to bring your own API keys for cloud AI; otherwise you must run a local AI model, which can be GPU-intensive.
- Enterprise features like SSO/SAML are only available via contact-based pricing.
- All data stays local by default, but using cloud AI sends screenshots to third-party providers unless you configure local mode.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Integrations
Resources & Guides
Frequently Asked Questions
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