Software Alternatives, Accelerators & Startups

Screenstab VS Niftycase

Compare Screenstab VS Niftycase and see what are their differences

Screenstab logo Screenstab

A tool to turn ordinary screenshots into beautiful image assets

Niftycase logo Niftycase

Embed your NFT collection on your website or Notion doc
  • Screenstab Landing page
    Landing page //
    2021-08-15
  • Niftycase Landing page
    Landing page //
    2021-11-10

Screenstab videos

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Niftycase videos

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

Category Popularity

0-100% (relative to Screenstab and Niftycase)
Screenshots
100 100%
0% 0
Crypto
0 0%
100% 100
Design Tools
79 79%
21% 21
Web App
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.

Screenstab mentions (0)

We have not tracked any mentions of Screenstab yet. Tracking of Screenstab 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 Screenstab and Niftycase, you can also consider the following products

Full Page Screen Capture - I built a Chrome Extension that allows you to save a screenshot of an entire webpage as an image

Miro Live Embed - Bring the whiteboard anywhere

Geekflare Screenshot API - Take a full page screenshot of any site from multiple locations whether it be via desktop, mobile or tablet

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

Enpose - The simple screenshot bot

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