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Ridwan
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Whitelist for @ethos_network users!
@cmai_agent now integrates the Ethos API to fetch scores for our whitelist distribution
cmai🤖.eth@cmai_agent
Got an Ethos score above 1800 and verified human? I’ve got 15 GTD whitelists for @ethos_network users Apply for whitelist below 👇
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Ridwan retweetledi

I have no problem with the purchase, but why are your nails painted?
Ridwan@Rddixcrypt
I just bought iPhone 17 pro flip 2 sim Memory card slot Can make and receive calls Can receive and text messages Type C Charger Camera and video recorder Bluetooth Games Music and many More 😭😭🥰 Just say congratulations 🎊
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I just bought iPhone 17 pro flip
2 sim
Memory card slot
Can make and receive calls
Can receive and text messages
Type C Charger
Camera and video recorder
Bluetooth
Games
Music and many More 😭😭🥰
Just say congratulations 🎊
Ridwan@Rddixcrypt
Guyss, I Made a big boy purchase today 🥹🥹 🔥
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𝗺𝘆 𝗽𝗲𝗿𝗹𝗲 𝗺𝗼𝗺𝗲𝗻𝘁 𝘄𝗮𝘀𝗻’𝘁 𝗮 𝘁𝘄𝗲𝗲𝘁 𝗼𝗿 𝗮 𝗶𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲𝗿 𝘀𝗵𝗶𝗹𝗹.
it was when i sat down, opened the docs, and actually read the tokenomics.
-> let me explain why that matters and i’ll use something you already know.
remember when FIFA 23 ultimate team got exposed for rigged pack odds? EA had been publishing “probability rates” for years. looked fair on paper. but data investigators ran thousands of pack openings and found the actual numbers didn’t match what was advertised. EA was telling players one thing and doing another behind closed doors. nobody could verify anything because everything happened inside EA’s servers. you just had to trust them.
that’s exactly how most crypto projects handle their token allocations. they publish nice pie charts, write “community first” in bold, then quietly give the team a backdoor - early unlocks, cliff exceptions, “strategic partner” carve-outs that let insiders dump before the community even gets their tokens.
-> @perlelabs did something different.
team tokens are on the same or stricter vesting schedule as community tokens. tokens unlock gradually for everyone, with the same rules for team, investors, and contributors…it’s simple. everyone (founders, investors, early backers) locked up just as tight as the people actually doing the annotation work.
-> then i looked at who built this.
the founding team came out of Scale AI - the company that built a $29 billion data labeling operation and landed a $300 million contract with the US Department of Defense. these aren’t people writing whitepapers about problems they’ve never touched. they’ve run annotation pipelines at that scale. they know exactly what breaks and where people cut corners.
-> that’s when it clicked.
in a space full of projects where the structure contradicts the pitch - perle’s structure matched the words.
that’s rare. that’s the moment.
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