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BrainDock
AI-powered distraction detection for deep work
BrainDock uses your webcam and AI to detect when you reach for your phone, step away from your desk, or switch to distracting apps. It gently nudges you back on track during timed focus sessions and generates a PDF report with your focus score, distraction log, and activity breakdown. Built privacy first: no facial recognition, no screenshots, no permanent data storage. Free for macOS and Windows.
Hey Product Hunt! I'm Morayya, pursuing Computer Science in Melbourne. I built BrainDock because I kept catching myself reaching for my phone during study sessions and would constantly get distracted.
BrainDock uses your webcam + AI to detect when devices pull your attention away, then gently nudges you back. It also tracks when you switch to distracting apps/websites.
What makes it different: it's not a website blocker. It watches your actual behaviour and coaches you in real-time.
Key features:
AI distraction detection (phones, tablets, stepping away)
Screen awareness for app/website distractions
Timed focus sessions with nudges
PDF performance reports
Privacy-first: no facial recognition, no screenshots stored, no data leaves your machine (except temporary AI processing frames, deleted immediately).
Free for macOS and Windows. Would love your honest feedback!
About BrainDock on Product Hunt
“AI-powered distraction detection for deep work”
BrainDock was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #156 on the daily leaderboard. BrainDock uses your webcam and AI to detect when you reach for your phone, step away from your desk, or switch to distracting apps. It gently nudges you back on track during timed focus sessions and generates a PDF report with your focus score, distraction log, and activity breakdown. Built privacy first: no facial recognition, no screenshots, no permanent data storage. Free for macOS and Windows.
On the analytics side, BrainDock competes within Productivity, Artificial Intelligence and Tech — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how BrainDock performed against the three products that launched closest to it on the same day.
Who hunted BrainDock?
BrainDock was hunted by Morayya Jain. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of BrainDock including community comment highlights and product details, visit the product overview.
Morayya Jain