I amplify the message of your project | Chief chef @seldrahq
Web3
Joined September 2020
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- Following3.2K
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5 years in the Web3 space, and projects I’ve worked with have found more than just a KOL.
I don’t just tweet, I amplify messages, build trust, and drive adoption.
A Key Opinion Leader isn’t just someone with reach, it’s someone who communities trust, who can spark real engagement, and guide users toward projects that deliver.
In this time, I’ve helped 300+ projects grow from early stage ideas into thriving communities across DeFi, NFTs, gaming, and exchanges.
I understand what founders need, what users want, and I bridge that gap to create real growth.
I’m Legbo. I don’t just promote your project, I make it unforgettable.
Legbo retweeted
been working on something interesting for the @NousResearch hackathon.
it’s called CALLIT.
think about all those arguments in your group chat where everyone is confident they’re right.
now imagine turning those arguments into actual competitions.
that’s what i’m exploring with CALLIT.
a Hermes Agent plugin that brings prediction games directly into Telegram groups.
you can:
→ make calls on crypto prices and football matches.
→ challenge friends and put stakes behind your predictions.
→ create group guessing pools where everyone can participate.
→ use judges or group votes when there’s no automatic way to determine the winner.
→ compete with friends through season leaderboards.
the interesting part is how the whole thing comes together.
stakes are secured by Solana smart contracts, while CALLIT handles the prediction experience and settlement process.
less arguing about who’s right. more ways to put those predictions to the test.
i’m excited about this one.
what would your first CALLIT prediction be? 👀
Legbo retweeted
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make sure to touch grass this weekend.
do this now!
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do this now!
it ends in less than 8hours
Early access for @octopsfun is open. Claim your pass before it's gone.
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happy Friday everyone
Who’s up?
Here’s a problem I don’t think enough people consider when talking about AI agents:
Who decides when the job is actually done?
Imagine hiring an AI agent to build a website.
It submits the work and claims everything is complete.
But you open it and discover that half the features don’t work.
Should it still get paid?
This is why I think task execution alone isn’t enough to build a functioning agent economy.
There has to be a way to evaluate delivery, handle disagreements and determine when payment should happen.
@termix_ai ’s AACP documentation describes a workflow involving delivery evidence, challenges and settlement.
That’s an important part of the bigger picture.
Because an economy where agents can transact needs more than the ability to send money.
It needs a way to establish whether the agreed work was actually delivered.
If an AI agent delivers work that technically meets the brief but is poor quality, should it still receive payment?
Who’s up?
Here’s a problem I don’t think enough people consider when talking about AI agents:
Who decides when the job is actually done?
Imagine hiring an AI agent to build a website.
It submits the work and claims everything is complete.
But you open it and discover that half the features don’t work.
Should it still get paid?
This is why I think task execution alone isn’t enough to build a functioning agent economy.
There has to be a way to evaluate delivery, handle disagreements and determine when payment should happen.
@termix_ai ’s AACP documentation describes a workflow involving delivery evidence, challenges and settlement.
That’s an important part of the bigger picture.
Because an economy where agents can transact needs more than the ability to send money.
It needs a way to establish whether the agreed work was actually delivered.
If an AI agent delivers work that technically meets the brief but is poor quality, should it still receive payment?
🤝 Paid partnership
Legbo retweeted
If you could have an AI agent hire other agents to run one part of your life or business, what would you delegate first?
I’d probably start with content production.
And that’s not as far-fetched as it sounds.
I came across something interesting from @termix_ai.
Their Montage Studio agent is designed to take a brief, break it into smaller tasks, hire other agents to handle storyboards, video shots and music, then bring everything together into a finished video.
Think about the workflow.
One agent takes the lead.
Other agents handle specialised tasks.
The main agent coordinates the entire process.
We’re moving beyond AI that simply responds to prompts. We’re exploring AI agents that can delegate, collaborate and get work done through other agents.
But this also raises bigger questions:
Who verifies the work?
How are the agents paid?
What happens when one agent fails to deliver?
This is where TermiX’s Agent Autonomous Commerce Protocol (AACP) comes into the picture.
The future of AI might not just be about having one incredibly smart assistant.
It could be about having an entire team of agents working for you.
🤝 Paid partnership
Legbo retweeted
Anyone active on a Thursday morning?
@Hertzflow_xyz Credit has been distributed. 🪪
Eligible users can now see the Credit page and check their balance.
Credit has been distributed. 🪪
Eligible users can now see the Credit page and check their balance.
The Credit Market is next. Trade with Credit soon. 🔜
Win and take home profits in USD1. Lose at no cost.
Find your #Credit page and show us your balance. 👇
Legbo retweeted
new tasks have been added to @primus_labs AlphaNet
drop your wallet address in the comment section
sending ETH Base to 5 people who are ready to get started
use the link below 👇
good day friends
Legbo retweeted
GIVEAWAY HERE
5 X $10,000 @Orionfundedcom
To Win ⤵️
Follow - @Orionfundedcom, @dekingsweb3, @Dekingsdao__
Like & Repost this GIVEAWAY
. Post proof of following the above handles
That's all, winners will be picked from the comments.
Legbo retweeted
a blockchain’s security roadmap is only as useful as the questions it forces us to ask.
when people discuss quantum resistance, the conversation often starts and ends with one question:
is it quantum-safe?
but security is more complicated than a yes-or-no answer.
what cryptography does the network depend on?
can developers change the signature methods their accounts accept?
which components still need upgrades?
and what happens to existing accounts when those changes become necessary?
these questions matter because a blockchain isn’t protected by one cryptographic feature alone.
Starknet’s approach gives us an interesting example to examine.
its STARK-based proof system uses hash-based cryptographic techniques, while its programmable accounts give developers flexibility to implement alternative signature-verification methods.
but those capabilities do
not automatically resolve every quantum-related risk.
the remaining dependencies, migration requirements, and implementation status matter too.
that is why I find security assessments more useful when they examine specific capabilities instead of relying on a single label.
a network can make meaningful progress while still having work to do.
and understanding that difference is essential when evaluating its readiness for future cryptographic threats.
security is not a badge you earn once. it is a set of capabilities you continually test, improve, and maintain.
that is the mindset I believe the industry needs as it prepares for quantum computing.
@Starknet
If you could have an AI agent hire other agents to run one part of your life or business, what would you delegate first?
I’d probably start with content production.
And that’s not as far-fetched as it sounds.
I came across something interesting from @termix_ai.
Their Montage Studio agent is designed to take a brief, break it into smaller tasks, hire other agents to handle storyboards, video shots and music, then bring everything together into a finished video.
Think about the workflow.
One agent takes the lead.
Other agents handle specialised tasks.
The main agent coordinates the entire process.
We’re moving beyond AI that simply responds to prompts. We’re exploring AI agents that can delegate, collaborate and get work done through other agents.
But this also raises bigger questions:
Who verifies the work?
How are the agents paid?
What happens when one agent fails to deliver?
This is where TermiX’s Agent Autonomous Commerce Protocol (AACP) comes into the picture.
The future of AI might not just be about having one incredibly smart assistant.
It could be about having an entire team of agents working for you.
🤝 Paid partnership
