Simplicity Group Alpha
🚨 X Spaces - Going live today 3PM UTC / 7PM GST "Building a Personal Brand in Crypto: Tactics That Built Reputations" 🔗 Set a reminder: https://x.com/i/spaces/1nAKEgDZEEXJL We're sitting down with some of the sharpest voices across crypto Twitter, LinkedIn…
Live now, join to see how to grow followers on socials and build a real trusted brand 🆘 https://x.com/i/spaces/1nAKEgDZEEXJL
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Criticize Ethereum all you want, EVM is one of crypto’s core infrastructure innovations. It's the blueprint others build on
7d active users:
• Base: 5.8M
• BNB: 5.2M
• Ethereum: 2.5M
Dear founder: having the idea is one thing. If you don't capture the masses, someone else will
Source
7d active users:
• Base: 5.8M
• BNB: 5.2M
• Ethereum: 2.5M
Dear founder: having the idea is one thing. If you don't capture the masses, someone else will
Source
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Join now: Cryptic Talks with Simplicity Group 🎙️
Token Design Frameworks: From Idea to Launch
Featuring the one and only Daniel Malinovski, Co-Founder & CEO of Simplicity Group
We’re about to break down what actually makes a token work:
➡️ ➡️ ➡️ https://x.com/i/spaces/1dRJZYrRWnbGB
Token Design Frameworks: From Idea to Launch
Featuring the one and only Daniel Malinovski, Co-Founder & CEO of Simplicity Group
We’re about to break down what actually makes a token work:
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See ya tomorrow on
(humbly speaking) one of the nicest Token2049 side workshops, focused on scaling AI startups
Together with PhDs from Cambridge University, we will explore how to:
- Launch and scale real-world AI systems
- Raise funds and actually close the round
- Design tokens that grow with your project
- Avoid the rookie mistakes that sink most startups
Coinvesting, DIFC
April 29 | 11:00–14:00
➡️ ➡️ ➡️ ➡️
https://lu.ma/scalingstartups
(humbly speaking) one of the nicest Token2049 side workshops, focused on scaling AI startups
Together with PhDs from Cambridge University, we will explore how to:
- Launch and scale real-world AI systems
- Raise funds and actually close the round
- Design tokens that grow with your project
- Avoid the rookie mistakes that sink most startups
Coinvesting, DIFC
April 29 | 11:00–14:00
https://lu.ma/scalingstartups
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Simplicity Group Alpha
See ya tomorrow on (humbly speaking) one of the nicest Token2049 side workshops, focused on scaling AI startups Together with PhDs from Cambridge University, we will explore how to: - Launch and scale real-world AI systems - Raise funds and actually close…
Dubai frens, missing tomorrow’s event = automatic red flag
We see everything
We see everything
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How much revenue should go to buybacks vs. the business itself?
For one of our clients, we break it down like this:
- Revenue from non-transaction sources stays with the company
- Up to 50% of transaction fee revenue goes to buybacks, if there’s enough income from other sources
If there’s not?
We cover the shortfall using TX fees first. Then, 50% of the remaining TX fee capital is used for buybacks.
The buyback share is calculated based on the original TX fee revenue using internal formulas.
For one of our clients, we break it down like this:
- Revenue from non-transaction sources stays with the company
- Up to 50% of transaction fee revenue goes to buybacks, if there’s enough income from other sources
If there’s not?
We cover the shortfall using TX fees first. Then, 50% of the remaining TX fee capital is used for buybacks.
The buyback share is calculated based on the original TX fee revenue using internal formulas.
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For one client, we built a custom calculator from scratch
It shows exactly how emissions behave based on different inputs:
-how many tokens go out per user,
-how fast rewards dry up,
-when the model becomes straight-up unprofitable,
etc.
It’s color-coded, visual, and brutally clear.
The kind of thing that helps both the team and investors understand the mechanics in under 5 minutes.
And they can keep using it even post-launch:
Just plug in real data,
tweak the levers,
and see what happens if they increase or cut back mining.
This is the kind of work we do at Simplicity
It shows exactly how emissions behave based on different inputs:
-how many tokens go out per user,
-how fast rewards dry up,
-when the model becomes straight-up unprofitable,
etc.
It’s color-coded, visual, and brutally clear.
The kind of thing that helps both the team and investors understand the mechanics in under 5 minutes.
And they can keep using it even post-launch:
Just plug in real data,
tweak the levers,
and see what happens if they increase or cut back mining.
This is the kind of work we do at Simplicity
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