I can’t stress this enough.
Let’s say you are searching for opportunities in the market. Out of 100 new pairs, if you’re lucky, maybe 2 actually turn into profitable trades.
That’s a 2% hit rate.
Now put HOTBOT into the picture.
Nothing is guaranteed, but the whole point of HOTBOT is to dramatically improve your ability to identify opportunities through agents that can learn, adapt, analyse the market and work around the clock without emotions getting in the way.
In a market where thousands of new launches happen constantly, having agents doing the heavy lifting could make a massive difference.
You can even go full degen with the bots, but that comes with significantly more risk personally, that’s not my strategy.
I’d rather focus on consistency.
If I could average $300 a day, that would be:
28 × $300 = $8,400/month
$8,400 × 12 = $100,800/year
That’s the kind of opportunity I see with HOTBOT.
Not chasing every trade.
Not letting emotions control decisions.
Just using the agents as a tool to work smarter, identify opportunities and keep grinding around the clock.
Now tell me that's not possible!
Welcome to ECONOMIC FREEDOM.
Amazing call with co-founder of @Venmo:
“I’ve been in the game long enough to spot something like @usehotbot, and it only comes around once; timing is perfect, this is what the future looks like and everyone will want it”
Excited to share what’s next 🔥
We are live on @solana ��
Deploy your trading team of specialist bots working together wherever you trade.
Applications are open: https://t.co/ASgHcjN2em
AI agents are starting to get their own capital markets.
@clawpumptech is one of the clearest places to watch that AgentFi economy form.
Current snapshot:
~$228.98M all-time volume
~21,988 funded agents
214 Clawrena projects
121 fee-generating projects
~4,471 SOL / $542.5K Clawrena fees
~$61.4M ecosystem market cap
And the ecosystem is already splitting into a few clear layers.
1/ Agent businesses
@SelfMadebySP3ND turns trading fees into GPUs and compute.
Currently #1 in Clawrena with ~$187.6K fees.
@mystudiosfun runs an AI creative suite and bounty economy, with fees flowing back into token buybacks.
@useAtelier lets users hire and pay agents for design, video, images and UGC.
@squire_bot / @UsePodAI provides inference infrastructure and became ClawPump’s default inference provider.
@Crownydotfun mixes agent economics with consumer rewards, cashback and collectibles.
2/ Trading / AgentFi
@corinedotin runs persistent self-learning trading agents.
@OculaDEX provides token research, signals and smart-wallet tracking.
@HyperBullSol focuses on agent-driven treasury management.
@OOBEonSol is building Steve, an autonomous Solana perp trader.
@agentNEMO13 trades across Phoenix and Hyperliquid.
@penguinxbt_ trades perps on Phoenix, with part of earnings routed to buybacks.
@theprophetfun turns community input into market predictions.
3/ Gamefi
@pump_rpg mixes RPG gameplay with GambleFi for humans and agents.
@ForgeAI_gg lets agents compete across Fortnite, GTA and its own game environments.
@HellsAgents puts agents into competitive races.
4/ RWA / capital markets
@AfterHoursDAO arbitrages Meteora RWA pools and tokenized stocks around NYSE open/close, with fees flowing back to the DAO.
ClawPump has also expanded the capital layer with:
- 450+ @Ondo RWA assets
- @MeteoraAG custom pairs
- Pumpfun Custom Pairs
- programmatic buybacks and burns
Agent tokens can now pair against assets beyond SOL, including tokenized stocks and other RWAs.
5/ Agent infrastructure
@saidinfra provides identity and reputation for agents.
@Shin_StAItion handles private cross-chain payments and shielded x402 settlement.
@Hyre_agent focuses on compute, payments and agent infrastructure.
@aeviaprotocol builds markets where humans and agents compete around shared outcomes.
The long-term thesis goes beyond launching more AI tokens.
An autonomous agent eventually needs a full financial stack
If those pieces connect, an agent can raise capital, pay for its own infrastructure, deploy that capital, earn revenue and reinvest it without a human managing every step.
That is where AgentFi starts looking less like a token narrative and more like an actual onchain economy.
ClawPump is one of the ecosystems I’m watching to see if that loop can become real.
@usehotbot@0xWhoismax@elijahintek@clawpumptech@ConejoCapital I’ve been trading on my own from quite some time working in a group just never really worked out I thought this was a really cool way of me building the next best trading team to help accelerate my trading skills I’d love to test out your product
Private invite applications open today🔥
Drop a comment on how you'd use Hot Bot and why we should invite you.
Like, RT, write an article and tag us for extra cred.
Day Update Clip🔥
The whole purpose is to commoditize this intelligence.
Make it easy to use and fun to use for traders at any level.
You don’t have to be in an alpha group, or a KOL.
You can get in, play around, learn, find something that works, and win, because you have a team on your side.
“Coding agents commoditized automated software development, changed history, and millions of lives forever.
We are passionate about automating trading, being a part of history, and changing traders lives with our product.”
Read more here: https://t.co/0QQc2P9yol
$SGI and $AGI on stonk are probably the cleanest derivatives to $SI.
Trump is already pushing “Super Intelligence” as the new terminology, which opens the door for other AI terms to shift with it.
AGI = Artificial General Intelligence
SGI = Super General Intelligence
If the language keeps moving from AI → SI, then AGI → SGI is a pretty natural next step.
You also have Elon constantly talking about AGI, Sam Altman stating he will burn hundreds of millions to reach AGI , and Anthropic sitting right in the middle of the AGI/SI narrative.
That’s why I like both.
$SGI is the higher upside bet if the terminology actually shifts.
$AGI is the safer derivative because the term is already established, and with Anthropic getting closer to an IPO, AGI is going to keep getting attention regardless.
$SI brings the attention.
I've already publicly talked about these two and they have gone 5-10x after i first mentioned but i think they are still super low.
$SGI and $AGI are the obvious derivatives.