Noise - is an application that allows you to enjoy the beauty and harmony of nature anytime, anywhere. With this app, you can improve your physical and mental health, reduce your stress levels, and increase your productivity and creativity.
🎉 Congratulations on launching Noise! It's a wonderful idea to bring the calming embrace of nature to our digital lives. 🌿
Feature Suggestion: Consider adding personalized nature soundscapes based on users' preferences.
Feature Suggestion: Integrating guided meditation sessions could enhance the app's relaxation benefits.
How do you plan to expand the selection of natural environments? 🌄
About Noise on Product Hunt
“Remain calm, sleep, meditate”
Noise launched on Product Hunt on August 11th, 2023 and earned 94 upvotes and 3 comments, placing #43 on the daily leaderboard. Noise - is an application that allows you to enjoy the beauty and harmony of nature anytime, anywhere. With this app, you can improve your physical and mental health, reduce your stress levels, and increase your productivity and creativity.
Noise was featured in Android (57.1k followers), Health & Fitness (82.5k followers) and Meditation (12.6k followers) on Product Hunt. Together, these topics include over 66.2k products, making this a competitive space to launch in.
Who hunted Noise?
Noise was hunted by Kirill Radobolsky. 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 Noise stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Kirill Radobolsky