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Gewoon een vriendelijke herinnering dat $SERV een miljard dollar project is dat momenteel onder de 100 miljoen zit!
Ik wil echt dat meer mensen ernaar kijken, heb ook wat threads geschreven!

11 jun 2025
Folks called $KTA early!
Then everyone saw it rip.
I’ve been sharing $SERV since it was stupid cheap. And it’s only a matter of time before CT realises what’s actually being built here.
Here’s why anything under $1B MC still feels early 👇
🔸Imagine this:
A top-tier tokenomics expert trains an AI agent.
Lists it on @openservai .
Now anyone : founders, DAO leads, investors can pay $SERV to access 24/7 tokenomics help.
No calls. No hires. No equity dilution.
Same for:
→ Smart contract devs
→ DeFi quants
→ Growth hackers
→ Legal consultants and many more
🔸Now zoom out.
You’re building a project.
Instead of hiring a team, you assemble one , entirely from OpenServ’s agent marketplace:
– Tokenomics agent
– Legal structuring agent
– Audit agent
– Growth agent
All trained by domain experts.
All running on OpenServ’s multi-agent infra.
All talking to each other. In sync. Executing.
And the best part?
No code needed.
– No-code builder for normies
– SDKs for devs
– Execution, simplified
🔸But let’s talk tokenomics ;this is where $SERV really hits:
🔹Agent Usage = Buy + Burn
🔹Every aApp that uses agents → triggers $SERV buybacks.
🔹25% of gross credit revenue is auto-used to buy & burn $SERV weekly.
🔹More agent calls = more pressure on supply. Flywheel mode.
Freemium App (
Their flagship aApp is a dashboard for DeFi + AI.
– Basic: Free
– Pro: Pay $SERV → unlock premium modules
Each payment splits:
• 50% to the creator
• 30% to the treasury (grants + growth)
• 20% burned (perma supply sink)
Use $SERV → reward builders → fund growth → burn supply.
Token utility loop is airtight
– Pay $SERV to use agents
– Earn $SERV by training/listing them
– Stake $SERV to support them
– Burn $SERV through usage
– Receive rev share in $SERV
$TAO is building the brain.
$SERV is building the hands.
$SERV is the execution layer. And infra always wins long-term.
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