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“ 👋 Hello Product Hunters! :) Today we’re excited to launch Compass Maps on PH, the first GPS for scenic drives that will get you from A to B the most scenic way. No planning required. 🎉 “Spend time exploring. Not planning.” We started Compass Maps because we got frustrated with Google Maps. Google Maps is based on traffic. It gets you to your destination the fastest way. But what if you actually have time to enjoy the ride? What if you wanted to discover the best spots on the go? Introducing Compass Maps, the first GPS based on scenery rather than traffic, available on the Apple App Store and Google Play! Compass Maps explained in three simple steps: - Step 1: Enter a start location or use current - Step 2: Select a popular route or enter a destination - Step 3: Tap on “Start GPS” to launch Google Maps and start turn-by-turn scenic navigation Because we know that not everybody is able to pay for every software they use, our goal is always to offer a fully functional free version. At the same time, we have to keep the lights on and that’s why we’ve decided to offer the scenic navigation to all, but limit the number of suggested stops to 3 in the classic version and 21 in the PRO version. Please let us know your feedback! We very much appreciate any comments or suggestions. We’re constantly improving Compass Maps and your input can have a big impact 💬 💙 💛 Oh, and let us know where you are traveling next! We'd love to know :) -Toni p.s. As a special Product Hunt exclusive bonus, we are offering the PRO version for 30 days for any Product Hunt download this week. This means you can use Compass Maps for advanced trips with up to 21 travel recommendations. 🚗 ✌️ PROMO CODE FOR ANDROID: PHLAUNCH PROMO LINK FOR iOS: https://apple.co/3LM3YrU ” – Toni Peinoit Discussion | Link
Technology & Programming China
1103 days ago
Technology & Programming China
1103 days ago
“ Hello ProductHunt 👋 Today we’re excited to announce that we’re launching QuineTopics, a taxonomy of open source derived automatically from READMEs and designed to make the ecosystem more organised and accessible! At Quine, we're quantifying experience and reputation of software developers from code and open source metadata. A central question is knowing what areas a developer is an expert on. This is a difficult problem given that we don't even know what "areas" exist in open source. To solve this problem we created Quine Topics, which uses NLP to automatically infer the labels of a GitHub repo from its README and Description metadata. Through this approach we have reduced the label space to a controlled vocabulary of ~600 (a decrease of 400x), and automatically tagged software projects via use of machine learning. Our taxonomy has a 700% decrease in unlabelled projects versus GitHub. Additionally, we created a 2D map of the space to help developers explore and visualise the repoverse by allowing them to browse the top projects and contributors in each category. You can learn more about our approach at https://medium.com/@alxbd/a-taxo.... Quine Topics is a milestone in our journey to solve the attribution and reputation problems in open source, and will play a fundamental role in many of the products we build next. We’re very interested in your feedback! If you like what we're doing, come hang out with us at https://discord.gg/quine. ” – Rodrigo Mendoza-Smith Discussion | Link
Technology & Programming China
1103 days ago