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Ще одне м'яке нагадування про те, що $SERV – це проект на мільярд доларів, який коштує менше 100 мільйонів рублів!
Дуже хочеться, щоб більше людей заглянули в це, теж написали кілька тем!

11 черв. 2025 р.
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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