This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Stop juggling ten productivity apps. Focusy combines tasks, habits, mood journal, and deep focus - all powered by AI. Stop juggling ten productivity apps. Focusy combines tasks, habits, mood journal, and deep focus in one place. Speak your tasks - AI organizes them by day with priorities. Scary task like "renovate apartment"? AI breaks it into small steps. Track 34 emotions, spot patterns, build habits with GitHub-style heatmaps. All data stays on your device. Built by a solo dev from Siberia.
Focusy was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #99 on the daily leaderboard. Stop juggling ten productivity apps. Focusy combines tasks, habits, mood journal, and deep focus - all powered by AI. Stop juggling ten productivity apps. Focusy combines tasks, habits, mood journal, and deep focus in one place. Speak your tasks - AI organizes them by day with priorities. Scary task like "renovate apartment"? AI breaks it into small steps. Track 34 emotions, spot patterns, build habits with GitHub-style heatmaps. All data stays on your device. Built by a solo dev from Siberia.
Who hunted Focusy?
Focusy was hunted by Lev Shilov. 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.
Want to see how Focusy stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Lev Shilov