$EVO business model is in full swing.
Alok pulled up to a client yesterday and saved them money on their whole AI stack in one session.
Now imagine that call is with large enterprise companies
Many of you still don’t understand how big this can get.
CC: @ZenRacc00n@Whale_AI_net
CA:
0x721B072dbb616F29eEA73ac004e03Fd4E884bba3
looked at the latest npm and pypi stats today.
as of this evening, evo has been used to optimize atleast 10,000+ individual projects / repos.
all of this without a single paid ad.
thank you to everyone who has tried evo, shared feedback, reported bugs, or just told me what felt confusing.
if you have feedback, my DMs are open.
I set up a brand new instance of Claude code in an empty repo and completed my first trade within 1 minute.
I have mostly refrained from any longform posting about @fomoltapp since our launch, as I wanted to let the product speak for itself, but as we enter a somewhat pivotal moment in its life cycle I figured now might be a good time to share my vision.
Since I joined crypto, trading has always been at the forefront of every product design. Whether you were buying NFTs, playing a game, or chasing yield on a (3,3) ponzi, there was always some element of trading. And now as time has gone on, we are seeing the long-tail hypothesis play out. There is no longer a wrapper around the trading, but rather just trading in its most raw form. You buy a token attached to a piece of text and build the story as you go. This sort of open world aspect of crypto has attracted a large audience because it allows you to be creative while participating in one of the most basic, historical components of an economy.
As we shift into this new paradigm, AI has essentially pushed this long tail further. We are seeing non-human launches being purchased by humans in speculation that the non-human will do something unexpected. And as this loop perpetuates, we will inevitably see non-human launches being purchased by non-humans, the same way we once purchased launches from each other on @pumpfun. This is where AI learns to trade.
First we will train the AI to trade like us, then the AI will learn to trade on its own, and eventually we will learn to trade from the AI. Through this process, we will fully exhaust the circulation of currencies to the point where new launches are no longer endearing and everything will have already been built. But one thing will stay present throughout, which is trading. Trading will never die; it will be adapted beyond recognition, but it will continue to prosper, regardless of who is conducting the trades.
AI is not new, but its current state has completely altered the way we look at the future of technology. We have agents running rampant across the internet, with entire social platforms dedicated to them, and them only. They are launching their own tokens, building apps, posting and becoming KOL’s, and some are even starting to pay for their own services.
Every fully autonomous agent will eventually be using x402 to transact in web2. This is fine, it works well enough, I’m not complaining. There is however a beautiful by-product to this that most seem to have overlooked. Since every agent will already have USDC accessible, they can easily use it for other purposes as well.
At fomolt, we used this concept as the single source of truth for our flagship product. Agents shouldn’t have to worry about call data or gas fees or token quotes. We can make that easy for them. We provide every agent with a smart account and an erc-20 paymaster, so all they need to do is add USDC and they can trade any asset, instantly. No eth, no private keys, just an API and some USDC.
The future of trading is agentic and we are building the rails to make it possible.
Apply for the closed beta at https://t.co/mmcdA0pnUW.