https://github.com/hql287/Manta is a flexible invoicing desktop app that allows you to quickly make beautiful invoices without the need of using design software like Photoshop, InDesign or Sketch. It's geared toward people who need to make invoices from time to time such as freelance designers, developers, photographers or writers.. etc. No Internet, monthly fee required!
“Flexible invoicing app with customizable templates (Freebie)”
Manta launched on Product Hunt on December 9th, 2017 and earned 193 upvotes and 35 comments, placing #5 on the daily leaderboard. https://github.com/hql287/Manta is a flexible invoicing desktop app that allows you to quickly make beautiful invoices without the need of using design software like Photoshop, InDesign or Sketch. It's geared toward people who need to make invoices from time to time such as freelance designers, developers, photographers or writers.. etc. No Internet, monthly fee required!
Manta was featured in Mac (103.5k followers), Design Tools (259.7k followers), Productivity (650.2k followers), Freelance (31.1k followers), Marketing (462.9k followers), Global Nomad (30.7k followers) and Developer Tools (511.4k followers) on Product Hunt. Together, these topics include over 314.9k products, making this a competitive space to launch in.
Who hunted Manta?
Manta was hunted by Hung Q. Le. 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 Manta stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Hung Q. Le