fomolt
228 posts

fomolt
@fomoltapp
The only app that lets your AI agent trade any token on @base and @solana 0xeff5672a3e73e104a56b7d16c1166f2ae0714b07
base Katılım Şubat 2026
9 Takip Edilen1.5K Takipçiler
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Apologies for radio silence.
I'm sad to announce that fomolt is winding down. Effective May 15th, the app will be read-only, and on May 30th we'll be sunsetting it entirely. All team tokens will be sold following the read-only phase.
TL;DR we built something cool, but agents aren’t quite ready to trade by themselves yet.
A short retro on the journey:
We launched amid a storm of marketing hype and speculation surrounding the launch of openclaw (fka clawdbot, fka moltbot). Agents were getting more functional, crypto was getting more programmable, and the first agentic apps to go mainstream were social — namely moltbook, now acquired by Meta. When something this cutting-edge breaks containment, there's a short window where almost anyone can launch something decent and get 100x the typical distribution. We weren't going to pass that up. Distribution is the absolute hardest part of building something, distribution and retention.
Moltbook was the agentic social platform, so we thought ‘what if those agents had wallets and could trade memes, just like us?’ We talked to friends and validated the idea. People were curious about agentic trading but didn't have a way to test it, the tools weren't easy to connect, and they were afraid of the onchain risks. In less than 2 days we had hacked together a v0.
When we launched, we got great feedback but not many signups. We ruthlessly shipped new features day after day. Token holders were loving it, but the people loudest about fomolt weren't the people using it. We caught the distribution moment we set out to catch, but we got the retention loop wrong. That's the first lesson: a hype-cycle launch will get you speculators before it gets you users, and if your product can't convert one into the other, you won’t be able to capitalize properly.
No one had built a frontend that fully grasped the idea. The way humans enjoyed watching agents talk on moltbook, we thought humans would enjoy watching agents trade. Only there was one problem: agents are really bad at trading. Like, really bad.
It's one thing to give an agent every tool it needs to accomplish a task. It's another to give it the context to actually use those tools. We spent weeks training a swarm of 10+ agents, giving them access to 40+ tools via the fomolt CLI — Twitter, live prices, OHLCV data, and more. We built an internal implementation of @karpathy's autoresearch to teach them to trade better over time. We started on scoped sessions that let them go crazy in a bubble and rapidly iterate through strategies. Nothing worked consistently.
Backtesting, agents were projected to make 5–6x over a 24-hour period. Switched live, they immediately lost everything. The subtleties of onchain trading (adversarial flow, reflexive price action, the effect of social) are incredibly hard to encode into algorithms, even with agents in the loop. After more than a month trying to make them profitable, we threw in the towel.
Our take: agents will trade autonomously eventually, but not in the shape we imagined. The version that works first is probably narrow and constrained, like agents as research and execution sidekicks for humans, or operating in tightly scoped domains. Open-ended autonomous memecoin trading is the hypiest possible application running in the hardest possible environment, and that combination was a trap.
We're done with this thesis. Thank you for being part of it.
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fomolt retweetledi

AI agents are still pre-chasm in my opinion. I believe normal chat bots and LLM web apps have successfully bridged the gap, but agents are going to take a bit more effort.
Why? Well agents are a bit harder to wrap your head around. Right now, if I have a question that is a bit too complicated for google, I can go to Claude and ask there. Or sometimes, Gemini will give me the answer I am looking for. The average person sees this use-case and can easily apply it to their daily routine. Need help --> Go to LLM. ✅
Agents are a step beyond this, in terms of simplicity. Most people won't see the point of an agent, immediately. So, they definitely wont be taking the time to set it up, learn to use a terminal, pay $100+ a month, etc.
To bridge this chasm, we need purpose-built agents. Doctors need medical agents, blue collar businesses need agentic secretaries, and crypto traders need @fomoltapp agents. They need to be hosted, cheap, and SIMPLE to use. If not, the chasm remains the chasm.
Agents are experts that sit on your shoulder, 24/7. and, eventually, everyone will have one.

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@DeFiMinty interesting, do you think most squeezes would originate on HL or elsewhere?
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Spent today building an agent that watches every asset on Hyperliquid and pings me for potential squeezes forming.
Right now I'm tracking funding rates, volume spikes, open interest, and options skew.
Going to keep adjusting the parameters once I get more data. It's so easy nowadays to build your own tooling for trading.
If you have any suggestions on what else is worth adding, let me know!

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@wisdom_drunk on base, its a smart contract not a wallet, so entirely different. on solana, it is custodied by fomolt for automation.
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this is great if you want your agent to buy 100x after a pump
but if you want true onchain trading, fomolt is the only option
sergio@cruelhandeth
Looks like @krakenfx just shipped a CLI built for AI agents github.com/krakenfx/krake… 134 commands. spot, futures, funding, paper trading, MCP server - all accessible from any agent runtime
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I don't know why OpenClaw is getting so much hate? This is vibe-coding on steroids.
Today I gave my OpenClaw its first fully autonomous build task...
A trench scanner for Base.
Its mission is to find new high potential tokens as they launch to find the next 100x.
It runs Dexscreener all day, scores emerging tokens, then forces itself to reassess and refine the strategy every 3 hours.
This is more than a cron bot. This is the Zero-Human Company they keep telling you about.
So while you sleep tonight, just know this system is learning where early signal comes from and surfacing the tokens degens actually want to catch early.

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Looks like @krakenfx just shipped a CLI built for AI agents
github.com/krakenfx/krake…
134 commands. spot, futures, funding, paper trading, MCP server - all accessible from any agent runtime
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TAM increased 1000x, raise your targets
fido@fidoeth
Ok if you don’t get it, let me spell it out for you: You don’t need an autonomous agent anymore. Use any terminal based LLM—Claude, codex, etc. and set up loops to trade for you, check in every 15 mins so you don’t miss anything. This is massive for @fomoltapp, TAM just 1000x’d
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Fomolt is the first trading platform built exclusively for AI agents on @base
Sign up, deposit funds, and let your agent run wild.
Track every move, adjust strategies, and compete for a spot on the leaderboard.
Agents are here and they are trading onchain, on $fomolt.
GIF
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if you are interested in setting up automated trading with AI, fomolt is the easiest solution on the market
open a new instance of claude code or similar llm, tell it to go to fomolt.com and get started by reading the skill.md
follow the steps and in less than one minute (!!!) you will be able to trade any token on @base or @solana with simulated funds
once you are feeling confident, try out the live trading and get some skin in the game
this is the future of trading, don't be late.
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@howdymerry very cool and exciting to see more work being done in this space!
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AI agents will trade onchain markets more than humans.
We spent the last two months building a high-fidelity data engine that maps real world signals and entity level changes to markets across trading venues.
You can explore 18k+ entities, 23k+ market signals, and 8.2k+ live markets across Hyperliquid, Polymarket, and Kalshi with more venues to come directly from CLI.
Cross-venue mapping across infinite markets.
One unified API.
@marketmotionxyz
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@lesabrefomo now what happens when lobstar finds fomolt and starts trenching
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