373 Interest Score
225 Discussions
0.60 Engagement
May 2023 Launched

Roketfy is an innovative and data-driven platform that provides smart tools and services to help Etsy sellers boost their sales.

What the Community Said

Hello Product Hunters ๐Ÿงก I would love to tell you about the story of Roketfy, briefly. During the first months of the pandemic, sales and competition in the marketplaces increased significantly. Sellers were desperately looking for tips, hints, and tactics on how to take advantage of this intense competition, and this made me notice an interesting pattern. As I tech lead of a content marketing platform for many years, I had a considerable experience in the field, and thanks to it I started thinki

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It's a game-changer product that can inspire you with ideas on optimizing your accounts, even if you're not an Etsy seller! ๐Ÿš€

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A few years ago I made Canva designs for fitness influencers and wanted to sell them on Etsy. It's safe to say learning good design was not the last thing I had to do... Learning how Etsy works, how to write a proper description, how to optimize everything. I WISH this tool was available back then. Congrats on the launch ๐Ÿ™Œ

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Cool product. I think every Etsy seller should at least try it, especially with the 14-day free trial. The fact that it can optimize listings, perform keyword research, and generate product descriptions all in one platform is incredible. Congrats in the name of every Etsy seller! ๐Ÿ’ช

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Super interesting, congrats! ๐Ÿš€ I am intrigued to know how you ensure SEO compatibility in generating product descriptions?

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Frequently Asked Questions

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

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