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Shuffling with @Animated6529 in the DMs last night was a cannon event.
Day 2 of sitting with Nokori by @4ndrew_mitchell I have shuffled my pieces 100+ times and feel like I am starting to get to know the algorithm. Even so, each time I come back, I have the urge to shuffle more. Trait combinations seem to say hello only to disappear forever.…
The TWA Hotel might be the greatest remodel ever
Bringing Out the Dead (1999) dir. Martin Scorsese
My (pre-shuffle) Nokori by @4ndrew_mitchell Congrats fren! Such an insane collection. Really shows the work you put in
SOL/USDT These levels were mapped before the session: • Upper range: 88.30–88.95 • Early rejection: 87.95–88.10 • Downside magnet: 86.50–86.30 The market stayed rotational, so price cycled between predefined zones instead of breaking out. Structure first. Outcome second.
Behind-the-scenes look at the creation of the cityscape model for Blade Runner (1982)
For some, this means nothing. For others, a lot. The whirring of the hard drive, the simple "beep" - two sounds forever etched into my brain; 12 seconds of time travel.
Bro’s always ahead of the curve! Another high quality project.
NOKORI Fully on-chain EVM generated artwork. A labor of love for the last 2 years. Finally I can be free. All artworks are constructed purely with string concatenation. No 3rd party libraries or HTML <canvas> elements are used at any point. Minting starts Monday, February 9th…
90% of traders are playing luck. There’s a logic behind market dynamics, there’s a math core that guides the flow of ups and downs. And of course, a lot of manipulation.
United States Trends
- 1. Pacers N/A
- 2. Wemby N/A
- 3. #WWENXT N/A
- 4. Purdue N/A
- 5. #OlandriaxYSLBeauty N/A
- 6. Nancy Guthrie N/A
- 7. Rio Rico N/A
- 8. #LoveOthers N/A
- 9. Nebraska N/A
- 10. Wisconsin N/A
- 11. Tucson N/A
- 12. Ty Lue N/A
- 13. Zaria N/A
- 14. #Illini N/A
- 15. Tumbler Ridge N/A
- 16. Badgers N/A
- 17. Real ID N/A
- 18. Courtney N/A
- 19. British Columbia N/A
- 20. Siakam N/A
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