Software Alternatives, Accelerators & Startups

ROLR VS Niftycase

Compare ROLR VS Niftycase and see what are their differences

ROLR logo ROLR

Act out your favorite movies with friends

Niftycase logo Niftycase

Embed your NFT collection on your website or Notion doc
  • ROLR Landing page
    Landing page //
    2019-08-19
  • Niftycase Landing page
    Landing page //
    2021-11-10

ROLR videos

No ROLR videos yet. You could help us improve this page by suggesting one.

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Niftycase videos

Episode 11: Cre8audio NiftyCase review ( NiftyBundle 3 of 3 ) | Eurorack Modular

Category Popularity

0-100% (relative to ROLR and Niftycase)
iPhone
100 100%
0% 0
Web App
0 0%
100% 100
Video & Movies
100 100%
0% 0
Crypto
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Niftycase seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

ROLR mentions (0)

We have not tracked any mentions of ROLR yet. Tracking of ROLR recommendations started around Mar 2021.

Niftycase mentions (1)

  • Niftycase – Embed NFT Collection
    — Embed Niftycase on any website! I hope you find Niftycase useful and I look forward to your feedback! → https://niftycase.io. - Source: Hacker News / almost 3 years ago

What are some alternatives?

When comparing ROLR and Niftycase, you can also consider the following products

Dubsmash - From silly lip-syncing to full featured video messaging 😜

Miro Live Embed - Bring the whiteboard anywhere

Vizmato - Vizmato developed by Global Delight Technologies Pvt.

GIPHY Sticker Embed - GIPHY powered sticker functionality for sites everywhere.

Video Merger - Video Merger is a powerful video-merging application, allows you to merge your favorite videos into a single large video by adding background music of your choice.

AI Tools 99 - Run AI such as sticker-maker and face-to-sticker without requiring expertise in machine learning. The platform automatically scales based on traffic and bills users only for runtime, preventing GPU overcharges