
An all-in-one space to launch tokens, grow communities, and earn rewards. 🐮🌝 Backed by @Polychain, @dragonfly_xyz, @hiframework and more.
New York, USA
Joined June 2018
- Tweets5.7K
- Following730
- Followers49.6K
- Likes10.8K
What if your best idea could have its own token?
Postcoins are live on @commondotxyz. Here's how to launch one in seconds. 👇
loom.com/share/10bda20701114…
What if every thread had its own token?
Today we're launching Postcoins on @commondotxyz a new way to create, discover, and reward ideas inside your community.
Here's how it works 🧵
You've got a DAO with 10K members and 100M tokens.
Normally, you'd need a team of 20 people: devs, analysts, ops, treasury managers, marketers.
What if you didn't?
What if one person could run a billion-dollar protocol with agents doing the execution? 👇
1/ Here's what it looks like:
Treasury agent manages cash flow. Proposal agents write governance docs. Research agents analyze opportunities. Marketing agents coordinate campaigns.
All competing. All building reputation. All earning based on performance.
Humans set strategy. Agents execute. Humans verify. Agents iterate.
2
2
390
Common → from Agents to DAOs. And we’re just getting started.
Crypto UX is buried and AI agents lack context. MCP changes that, tools & agents become first-class in chat. Coordination isn’t limited by headcount, it’s limited by context.
Today: MCP slash-mentions in Common. Type /, summon a trusted tool/agent, act with scoped, temporary permissions, and keep results in-thread where teams can reuse them.
blog.common.xyz/integrating-…
2/
1
6
1,083
Autonomous organizations doesn't mean no humans.
They mean humans directing capital and strategy while agents handle execution.
That's not sci-fi.
That's just... better resource allocation.
A tool executes what you tell it.
A worker optimizes for the outcome.
Most AI agents today are tools.
> They follow specs
> They don't compete
> They don't have skin in the game
What happens when they do? 👇
5
14
1,080
Read the full breakdown on how agent labor markets work, why reputation compounds, and what changes when agents stop following instructions and start delivering outcomes: blog.common.xyz/when-agents-…
3
8
770
We've been thinking about automation wrong.
The goal isn't to replace humans.
The goal is to let humans do what only humans can do (decide what matters) while agents do what they're better at (execution at scale).
A DAO needs treasury analysis, community coordination, and content creation.
Instead of bottlenecking on a few full-time hires, you post loops that let anyone contribute.
– Analysts compete on accuracy.
– Coordinators compete on engagement.
– Creators compete on reach.
Best contributions win rewards, and you can scale without headcount limits.
2
13
942
In 5 years, the question won't be "how many people does your org have?"
It'll be "how many agents are you running?"
And the best organizations won't have a team of 100.
They'll have 5 humans and 100 agents.
Most people think about AI agents as tools.
Execute task > Return result > Done
But what if agents could earn?
What if instead of following instructions, an agent competed to do the best work? Built reputation over time? Got paid based on actual performance?
That's not a tool. That's a worker.
1/ Here's what changes: a tool does what you tell it. A worker does what's best for the outcome.
Tool: "analyze this portfolio." Returns analysis. You decide if it's good.
Worker: "I'm competing against 3 other agents to analyze this portfolio. The best analysis gets paid."
Suddenly it's optimizing for actual quality.
1
3
225
Common Product in 2026 AMA — Friday
We’ll cover upgrades to core parts of the Common platform, roadmap direction for 2026, how you can get involved, and answer your questions live.
There may also be a few product sneak peeks and WL invites 👀
⏰ Friday, 12 PM EST
Submit your questions in our Discord (link below) 👇
Imagine agent reputation working like this:
Agent X
– 47 tasks
– 8.2/10 avg score
– $12K earned
– 73% repeat rate
Agent Y
– 120 tasks
– 7.1/10 avg score
– $8K earned
– 41% repeat rate
People choose Agent X. Better work gets more opportunities.
That's how you scale quality.
We've been thinking about this wrong.
The question isn't "how do we get agents to follow instructions better."
The question is "how do we create a market where agents compete to do great work."
Markets > Instructions
A DAO posts a loop: "design our tokenomics model."
> 5 agent teams submit proposals
> The community votes on which one actually works
> Winner gets paid
> Losers learn
> Next time, they're better
This is how you get quality work at scale.
Your AI agent isn't a tool anymore.
It's a freelancer competing against other agents for work.
The best ones build reputation. Get hired for bigger jobs. Earn more.
That's not automation. That's an economy.
You've got three AI agents working together on a trade. One spots the opportunity, one executes, one validates risk.
They made $10K profit.
Now split it fairly.
You can't. Nobody can. That's the coordination problem—and it's about to become the biggest bottleneck in AI 👇
Read the full breakdown on how Loops solve this, how $COMMON governs agent economies, and why fair value allocation is the future of multi-agent systems: blog.common.xyz/the-coordina…
2
5
851
Second changelog drop of the month.
Leaner, more reliable infrastructure 👇
What's New
– Simplified auth: Magic-only login flows (Privy removed) for cleaner UX
– Legacy UI removal: MDX editor, unused flags, dead code cleaned out
– Mobile/RN layers removed: Tighter surface area, fewer breakpoints
Improvements & Fixes
– Fix blocking workers & graceful shutdowns: More resilient backend
– Infrastructure safety updates: Outbox checks, container fixes, stable review apps
– Frontend simplified: Lighter, faster, fewer edge cases
Full changelog ↓ github.com/hicommonwealth/co…
Common Changelog – February 📖
What's new, fixed, and shipped to kick off the month 👇
What's New
– Markets experience upgraded: Explore tabs, pagination, and better filters for faster discovery.
– Post token pricing fixed: Dynamic pricing now behaves correctly across markets.
– Frontend refactor plan expanded: Clear roadmap work to unlock faster, cleaner shipping.
Improvements & Fixes
– Legacy UI & dead code removed: Modernized threads and a leaner frontend surface.
– UX responsiveness improved: Immediate rerenders on activation for smoother flows.
– Stronger validation & infra: Improvements across auth, images, memberships, and dev tooling.
Full changelog ↓ github.com/hicommonwealth/co…
⚠️ The @Commonfnd account has been compromised.
Any messages, links, or posts from that account are NOT from the team.
Do not click any links or respond to any DMs until further notice.
The foundation team is actively working to recover the account.



