@zzz_community And I think we're only scratching the surface of what's possible here, as execution becomes cheaper, communities that can identify real demand and coordinate around it will have a serious advantage.
I think we're underestimating what happens when AI makes software development almost free.
If building software becomes cheap, knowing what to build becomes increasingly valuable.
That's exactly why I've been paying attention to $ZZZ and https://t.co/oJIHVbCt6Y.
As AI moves from reactive assistants toward more autonomous systems, I think this model could become much more interesting than people realise.
The platform is already making progress with agent integrations, task coordination, activity tracking, and real-time chat, all being developed in public.
The people involved are another reason I'm interested.
xdev (@ExponentLabs_) previously contributed to GMX's infrastructure and architecture, while community members like @redveyIith and @latentliq are actively helping move the project forward.
Having experienced builders alongside a community that genuinely contributes matters, especially for a platform built around collective decision-making.
Now imagine taking this a step further.
Communities identify business opportunities, allocate resources, and launch products with AI agents handling development, research, marketing, and day-to-day operations.
Successful products could generate revenue to fund further development, allowing new ideas to be tested without the overhead of traditional companies.
At scale, https://t.co/oJIHVbCt6Y could evolve into an operating layer for community-owned software businesses.
Almost like a decentralised startup studio, where communities provide direction, capital, and distribution while agents handle much of the execution.
I don't think the next major AI opportunity necessarily has to be another model or coding assistant.
It could be the infrastructure that allows communities to collectively create and operate businesses.
That's the bigger bet I see with $ZZZ.
Been looking into @RamsesExchange the numbers caught my attention.
According to DefiLlama, over the last 30 days:
β’ $2.3B in trading volume
β’ $1.66M in trading fees
β’ $398K in holder revenue
β’ $353K in protocol revenue
β’ $1.33B in volume from Robinhood Chain alone
All this with a market cap of around $2.3M
A few things worth considering:
Robinhood Chain is still early, and Ramses is already handling significant volume.
More tokens and liquidity coming to RH could mean more trading activity for Ramses.
xRAM participants earn trading fees and voting rewards.
Converting $RAM to xRAM burns 50% of the RAM converted.
Ramses also has its DLMM product, giving liquidity providers another way to earn fees.
these are interesting numbers for a protocol at this valuation.
Sources:
https://t.co/W6WxrqJuio
https://t.co/YFQUJZuojS
https://t.co/SD8IoY3HeB
This is exactly what you want to see from a team that's building for the long term.
Much more to come, and I'm confident we'll see even more value flowing back to $RAM holders as the ecosystem grows.
100% of Ramses protocol revenue on Robinhood Chain now goes to RAM buybacks.
The BuybackModule collects that revenue, buys RAM on the open market and burns it.
It's now live, and every buyback is onchain.