Flixier Pro is an advanced online video editing tool. The key components of the product are amazingly fast rendering time that doesn’t require a high end computer, Google Docs collaboration style for video editors and all the actors involved in the process (producers, managers, etc.), streamlined communication for draft reviews, and easy access to plenty of cloud storage.
The main advantages of Flixier are:
Fast Rendering - Flixier Pro can render any video that is up to 60 minutes long in under one minute. It also does rendering in the cloud freeing up your computer for other tasks. The great thing about this is that you don’t need to spend a ton of money on expensive hardware.
Streamlined Collaboration - Getting feedback with Flixier Pro is as easy as clicking a button and sharing a link. People can start adding comments that show up directly in the video editing software. This is amazing because now you only need to render when the video is complete. And rendering is blazing fast, read above. Flixier Pro users can easily share their assets with colleagues. This is great because until now it was very frustrating to share libraries and projects and keep them in sync. Even more, team members can work together in real time on the same project, just like in Google Docs
Cloud Storage - We remove the need of having to buy expensive storage drives, worry about carrying them around or having to upgrade your computer, just to add a few gigabytes of storage.
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Based on our record, Every Noice at Once seems to be a lot more popular than Flixier. While we know about 422 links to Every Noice at Once, we've tracked only 2 mentions of Flixier. 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.
I have seen options like KAPWING and Flixier which are excellent paid options for people whose purpose is quick conversions and trimming. I however would like more in-house experimentation. The closest I have seen is trimtube but it does not have options to save video output locally. Source: about 1 year ago
After reading many great reviews about Flixier video editor, I decided to buy their business plan which guaranteed fast render in under 5 mins for hour long videos. That was what sold me on purchasing this, another reason why I wanted to buy this editor was because Sony Vegas always stops rendering half the video or barely nothing at all whenever my video is 5 hours long or more, and I like to post long gaming... Source: over 2 years ago
I see this in https://everynoise.com/#updates > 2024-01-05 status update: With my layoff from Spotify on 2023-12-04, I lost the internal data-access required for ongoing updates to many parts of this site. Most of this, as a result, is now a static snapshot of what, for now, will be the final state from the site's 10-year history and evolution, hosted on my own server. Some pieces may get disabled and reenabled... - Source: Hacker News / about 1 month ago
Anyone aware of a similar feature for foobar2000? I have an extensive library mostly tagged from Discogs, including release IDs. In theory, this should be sufficient to cluster music by genres, pull similar releases from Discogs "similar" feature and correlate data from https://everynoise.com. Obviously, in case of album mixed genres things will mix up, but I'm not sure there's a model that can correlate existing... - Source: Hacker News / about 2 months ago
The article mentions Glenn McDonald's musical genre page (https://everynoise.com/, no longer refreshing with new Spotify data) as an example of a flexible graph-like exploration format, without being burdened by explicit connections. The author also has a thorough description of pros and cons of the general concept. - Source: Hacker News / 5 months ago
This is from Glenn McDonald's blog, founder of "Every Noise at Once". He was laid off from Spotify (discussed here briefly [0]) --- https://everynoise.com/ is now in "archival copy" mode [1][2]. Super sad to read / see this. [0] https://news.ycombinator.com/item?id=38650917 [2] https://twitter.com/EveryNoise/status/1736086849339244935. - Source: Hacker News / 6 months ago
Data exported using: https://benjaminbenben.com/lastfm-to-csv/ Album art compiled using: https://www.neverendingchartrendering.org/ Genre data compiled using: http://organizeyourmusic.playlistmachinery.com/# https://everynoise.com/ https://www.tunemymusic.com/transfer Gender, year and country of origin information manually compiled using Last.fm and wikipedia. Data analysis done in excel and image created in GIMP. Source: 6 months ago
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