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Dynamic NFT collections capture people’s feelings 🪄 They/Them Pillars of Tomorrow: SOLD OUT https://t.co/xtYCnseXY1
Sep 23, 2022 5 tweets 2 min read
Since the mint will be live in about 30 minutes, here is one more thread 🧵

But first to all the people that have supported this collection through beautiful comments and feedback, much love to all of you. Fam, you make a difference💛

There is always more than you can see 👇🧵 Pillars of Tomorrow Our purpose is to create meaningful NFTs that are centered around humanity.

So what do you see here?

You see pillars moving with different motions, colors, and lengths.
However, they are in the same place, heading to similar destinations.
Sep 22, 2022 14 tweets 4 min read
How do we express people's emotions about Tomorrowland through generative music?

Which musical aspects are self-produced and which ones are randomly generated by the algorithm?

How do happiness, anger, fear, and sadness sound in Pillars of Tomorrow?

All the answers below👇🧵🎶 In this generative piece, there are 4 instruments: bass, piano, percussion (hi-hat, kick, snare, claps, fx sounds), and a quiet pad.

All the rhythms are self-written using Ableton, exported, and randomly selected to create the backbone of our generative music NFT.
Sep 21, 2022 10 tweets 4 min read
How our upcoming music NFT collection, Pillars of Tomorrow, is connected to Tomorrowland and the NFT space.

What’s our mindset behind the visuals?

A thread 🧵👇 Pillars of Tomorrow The symbolism and purpose behind Tomorrowland provided us with some clear goals on how to visually reflect the people’s feelings and experiences.

We’re showcasing music, connection, unity, and friendship through our art, and making it very colorful. Pillars of Tomorrow
Sep 20, 2022 8 tweets 3 min read
In Pillars of Tomorrow, we used emotion analysis to extract data through the Twitter API, analyze people’s emotions, and apply them as generative music traits.

A thread on data analysis 🧵👇 Pillars of Tomorrow In our previous collection, Pride Month Tribute, we collected 100K online articles and transformed the emotions into colors.

The stronger the emotional expression was during a specific time period, the more prominent the color was in the artwork.