Software Alternatives, Accelerators & Startups

What to Watch VS Avvvatars

Compare What to Watch VS Avvvatars and see what are their differences

What to Watch logo What to Watch

A movie and tv-show recommendation engine

Avvvatars logo Avvvatars

Free open source placeholder avatar design system and react plugin for your project.
  • What to Watch Landing page
    Landing page //
    2023-02-16

What to Watch is a powerful movie recommendation engine that was created to give you an always up-to-date source of inspiration when you’re looking for something to watch.

  • Avvvatars Landing page
    Landing page //
    2022-06-14

Category Popularity

0-100% (relative to What to Watch and Avvvatars)
Movies
100 100%
0% 0
Design Tools
0 0%
100% 100
iPhone
100 100%
0% 0
Productivity
60 60%
40% 40

User comments

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Social recommendations and mentions

Based on our record, Avvvatars 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.

What to Watch mentions (0)

We have not tracked any mentions of What to Watch yet. Tracking of What to Watch recommendations started around Mar 2021.

Avvvatars mentions (1)

  • Clean & Minimal Avatar library for vue3
    A clean minimal avatar library for vue3. A vue3 port of https://avvvatars.com/ . Happy hacking. Source: over 1 year ago

What are some alternatives?

When comparing What to Watch and Avvvatars, you can also consider the following products

Popcorn - Handpicked every day, discover your new favorite movie

Boring Avatars - JavaScript library to generates SVG avatars based on text.

Gusta - Get recommendations for any topic: music food movies +

Dollo - 300+ mix-and-match components to create your own avatar

RaterFox - The social recommendations app for movies, tv shows & games. Join the community today and start discovering your next favourite thing.

Avatar SDK - AI-powered 3D avatars from one photo