Serverless Components presents a single experience for you to provision infrastructure and code across all cloud and SaaS vendors. Think of them like building blocks which you can use to build applications more easily. Don’t build your own image processing API from scratch—use the existing component and tweak it.
“An easier way to build applications with cloud services”
Serverless Components launched on Product Hunt on April 27th, 2018 and earned 184 upvotes and 9 comments, placing #4 on the daily leaderboard. Serverless Components presents a single experience for you to provision infrastructure and code across all cloud and SaaS vendors. Think of them like building blocks which you can use to build applications more easily. Don’t build your own image processing API from scratch—use the existing component and tweak it.
Serverless Components was featured in Open Source (68.3k followers), Software Engineering (42.4k followers) and Developer Tools (511.3k followers) on Product Hunt. Together, these topics include over 83.7k products, making this a competitive space to launch in.
Who hunted Serverless Components?
Serverless Components was hunted by Deivide Oliveira. 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.
Reviews
Serverless Components has received 12 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
Want to see how Serverless Components stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Deivide Oliveira