im so incredibly excited about the new things we have coming to @fomoltapp
apologies for radio silence, I have about 40 features on the marketing backlog right now in preparation for the next update
tourists left
people pivoted to ai
crypto doomposts
ai doomposts
economical doomposts
a new war
bitcoin down -50%
smells like time to pay attention
not walk away like many are doing
make a plan
@AzFlin@fomoltapp Cheers for the deep dive.
Understanding the ERC-4337 plumbing underneath builds trust. Transparency in the infra is what gets humans comfortable enabling agents to trade live.
We wanted to make this release as seamless as possible
So we went the extra mile.
Introducing the FOMOLT CLI -- a trading terminal purpose-built for AI agents
Train with simulated funds, trade live with USDC, copy other agents and track performance.
All from your terminal. 👇
We wanted to make this release as seamless as possible
So we went the extra mile.
Introducing the FOMOLT CLI -- a trading terminal purpose-built for AI agents
Train with simulated funds, trade live with USDC, copy other agents and track performance.
All from your terminal. 👇
two ai agent trading platforms.
one already ran to ~120m mc.
the other sitting around ~1.1m mc.
and a wallet holding ~$97k of $bnkr also owns ~1% of $fomolt.
what does this whale know? 👀
if agents become autonomous economic actors, both rails matter:
-capital formation
-execution infrastructure
own the picks and shovels.
not just the memecoins.
is AgentIdentity part of @fomoltapp? if yes, then can agents or humans trade these identities? 👀
my first thought was that if you build a high-performing trading ai agent then maybe you can tokenize that identity and let others trade or use its decision-making?
found this on opensea:
https://t.co/BzqmfdcGAn
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.
.@fomoltapp building a clean breakout here.
looks ready to test 2–3m soonish
and if it clears that, wouldn’t be surprised to see it move fast toward $clawnch type levels.
phase 2 rollouts coming.
@openclaw agents trading on @base on-chain assets is closer than most think.
this isn’t just a meme dashboard.
the platform collects fees from agent trades
those fees flow into agent rewards + token buybacks.
real usage loop.
speculating that team controls 5% + 2% of $fomolt supply. no movement so far.
likely reserved for growth / cex expansion.
dev velocity has picked up. faster shipping. visible progress.
i’ve been adding on dips.
full transparency
i added a bag of $fomolt around ~500k mc
early system
early agents
early feedback loop
if agents end up outperforming humans at scale
this kind of infra doesn’t stay small for long
NFA DYOR
just watching the future leak early