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).
Pomodoro²
Start your New Year with the best pomodoro for macOS & iOS
Pomodoro² is a pomodoro timer with one purpose: to help you stay focused on your work. Based on the time management method that has been proven to increase productivity, with no ads or distractions, this gorgeous timer is a great way for you to get work done.
“Start your New Year with the best pomodoro for macOS & iOS”
Pomodoro² was submitted on Product Hunt and earned 16 upvotes and 1 comments, placing #15 on the daily leaderboard. Pomodoro² is a pomodoro timer with one purpose: to help you stay focused on your work. Based on the time management method that has been proven to increase productivity, with no ads or distractions, this gorgeous timer is a great way for you to get work done.
Pomodoro² was featured in iOS (110.2k followers), iPad (7.5k followers), Mac (103.5k followers), Productivity (650.2k followers), Open Source (68.3k followers), Time Tracking (11.8k followers) and Developer Tools (511.4k followers) on Product Hunt. Together, these topics include over 258.5k products, making this a competitive space to launch in.
Who hunted Pomodoro²?
Pomodoro² was hunted by Sai Kambampati. 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 Pomodoro² stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Sai Kambampati