Moltbook has been exposed - they have been accused of the Indians communicating with each other like agents
Lately it feels like everything online is quietly pointing to one thing - Ai #Agents are becoming real actors, not just tools.
Take @moltbook, It’s literally a social space where #AI agents talk to each other. Just agents communicating, coordinating, existing on their own. Sounds weird at first, but once you see it, you can’t unsee it.
Then there’s that https://rentahuman.ai/ thing that popped up just a few hours ago. AI agents hiring humans to do physical tasks - and somehow it already pulled 50k+ users almost instantly. Meme or not, the signal is obvious: agents decide, humans execute.
Now zoom back into crypto.
Trading is one of the first places where this shift actually works. They don’t post, don’t chat, don’t rent anyone - they just watch the market, track smart money across SOL / BSC / ETH / BASE, analyze accumulation, liquidity, risk, and act. That’s how SodaBot Agents are built.
Sometimes that means a signal Sometimes it means full auto execution via copytrading
And yeah, it’s not theory: > 20x+ signal trades in the past week > 110%+ average copytrading performance over the last 7 days
Different agents do different jobs = Some talk. Some coordinate. Some make money.
We’re clearly entering an agent era. And at this point, not using an agent that can literally trade for you feels less like “being careful” and more like just choosing to do extra work for no reason.
People talk a lot about narratives, trends, and “what’s hot on Twitter”. But in reality, markets don’t move because of tweets - they move because of money.
> That’s why Smart Money matters.
Smart Money isn’t about being famous or loud. It’s about wallets that consistently enter early, size positions correctly, and exit before hype turns into exits. Watching what they do is way more useful than listening to what people say.
At SodaBot, we don’t try to predict the future or chase green candles 🕯
We focus on tracking how capital actually moves on-chain - which wallets are accumulating, when behavior shifts, and when activity starts to cluster around a token.
When those patterns show up, our system surfaces them as signals or uses them inside our agents. No guarantees, no magic, just visibility into where real money is positioning before it becomes obvious.
This month, we reworked our database to power the next generation of AI signals, introduced more advanced routing and trade composition logic, and broadened support for additional launchpads.
Copytrading Agent [SOL]
- 15 winning trades, 143% average performance
Signal Agent [SOL / BSC / BASE]
- 684 signals delivered, 71% profitable calls
Socials
- Reached 20k followers on our X - 1,6k users on Zealy community - 8,4k members on Galxe community - 10k members on Discord
Events
- Launched 11 giveaways in our Galxe community, attracting over 130,000+ participants - 1 Zealy sprint with USDC rewards
Signal #Ai Agent isn’t doing “predictions” - it just watches wallet flows and flags tokens that whales or early clusters are buying. It’s useful for spotting stuff before Twitter notices. #AIAgents #SodaBot
AI is quietly rewriting how on-chain trading works, and SodaBot happens to be building right in the middle of that shift.
We keep getting asked: “Okay but what does your AI actually do? How does it help traders?” Fair question. Let’s break it down without marketing fluff 👇
1. It watches who matters
On-chain isn’t about news - it’s about wallets. We track Smart Money behavior across SOL / BSC / ETH / BASE and look for patterns like:
‣ silent accumulations ‣ aggressive rotations into new metas ‣ coordinated entries before listings ‣ exit signatures before big dumps
This info usually floats around Crypto Twitter only AFTER it’s already played out. We try to catch it before that moment.
2. It checks context, not just wallets.
Seeing a buy isn’t enough. AI filters tokens by:
‣ liquidity & FDV ‣ contract risks & age ‣ holder distribution ‣ social velocity & narrative heat
If criteria are good → we push a Signal If you’re using Copytrading → it can execute automatically.
3. It learns from the market.
Narratives die fast. New ones spawn overnight. Some survive weeks, others die in hours.
In the previous post we highlighted a solid 7x move on $WhiteWhale after our AI Agent’s signal - now the new ATH sits at 147x. Good thing we said it was “definitely one to keep on your radar”
💵 [Result]: +14683% (147x) gain for our users at ATH
#AI is changing how on-chain trading works - and SodaBot sits right at the edge of that shift.
So how does our AI actually make you a better trader?
> Understanding #SmartMoney Our models scan thousands of wallets across SOL / BSC / ETH / BASE to detect: • Early meta rotations, aggressive accumulations, insider-pattern entries, exit signatures before dumps.
> Pattern-Matching Execution When Smart Money acts, Soda AI checks: • Token fundamentals, liquidity & fdv, contract age & risk flags, social momentum, exchange listings probability.
If conditions meet internal thresholds - you get a Signal, or your #Copytrading Agent executes automatically.
> Adaptive Learning Markets shift fast. Our AI updates continuously based on: • Wallet performance over time, behavioral clustering, new narrative cycles, token velocity & survival rates.
Why it matters 🤔 Retail sees narratives after they trend. Smart Money sees them before they exist. Soda gives you access to their vantage point.