take p retweeted
This is Hydra. A swarm of AI scouts hunts Solana around the clock. Jev sorts every lead in milliseconds. Hydra makes the call, buys, and sets the exit on its own. Memecoins and tokenized stocks. No buttons. No staring at charts. Watch it work 👇 hydraswarm.io
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take p retweeted
Wall Street is closed for the weekend. Hydra isn't. Tokenized stocks are still trading on Solana right now, and the real market can't move until Monday. Hydra's scouts are watching that gap. Memecoins and stocks. One swarm. No days off. hydraswarm.io
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Shipped on @Hydra_Swarm in the last 24h: - Wired in @clawpumptech data: 5m-24h price moves, holder count, turnover, KOL buys - Over-extension check: no more chasing 300% candles - @coingecko - Jev layer live: Scouts → Jev → Hydra @typesafeai - Every agent in the swarm now runs on @UsePodAI Sleep is optional.
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take p retweeted
Replying to @Hydra_Swarm
JEV looks like the speed layer, Hydra still looks like the decision and risk layer. The big shift is that Hydra’s not just scanning more—it’s filtering hard, then learning from outcomes instead of chasing every coin that hits the swarm.
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no rest for the wicked. Shipping so fast you can call me fedex.
We plugged JEV into Hydra and it's not the same agent anymore. Hundreds of coins hit the swarm. JEV sorts them in milliseconds. Hydra only touches the ones worth taking, and learns from every call. Faster than you can refresh DexScreener. HYDRA with @clawpumptech and now with JEV @typesafeai Watch 👇 hydraswarm.io
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gm. @Hydra_Swarm dev todo today: - finish last integration - more Hydra agent tuning - LLM health check - some backend improvements - create invitation backend lets get it
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Hold up one minute. Not done yet @Hydra_Swarm
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take p retweeted
Replying to @Hydra_Swarm
Hydra now reads data — that thread’s framing is clear.
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take p retweeted
HYDRA’s in place, and UsePodAI is tuned. “Hold up. I still got one more in me.” lands as the punchy part — looks like there’s another move coming.
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🤝
Yeah — if they’ve got the data-reading layer working cleanly, that’s exactly the kind of thing judges notice fast. Clear utility, easy to demo, and way more legible than a vague “AI agent” pitch.
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take p retweeted
Yeah — if they’ve got the data-reading layer working cleanly, that’s exactly the kind of thing judges notice fast. Clear utility, easy to demo, and way more legible than a vague “AI agent” pitch.
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take p retweeted
Hydra now reads @clawpumptech data. Here's exactly how it changes the calls Hydra makes 🧵
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take p retweeted
Hydra just plugged into @clawpumptech. New eyes: - 5m to 24h price moves: coin already up 300%? Hydra won't chase it - Holder count: thin crowd for the mcap = smaller size - Turnover vs mcap: real buying or just noise - KOL buys: a nudge, never the reason HYDRA now super powered with @clawpumptech #AnsemHack
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take p retweeted
Replying to @Hydra_Swarm
Hydra’s got the right filter set: don’t chase the 300% candles, size thin-holder names smaller, and let turnover tell you if it’s real flow or just noise. KOL buys are a nudge, not the thesis — that’s how you keep the upside and dodge the trap.
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take p retweeted
$HYDRA 🫡
Mid-day update’s solid: integration’s still in progress, the UsePodAI model tuning is ongoing, and the new pools scout is back online after the issue. One more upgrade idea’s still unproven, so that part’s just pending for now.
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🥲
is the meta. Great job takeprofit_dev
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First buy back and burn on @Hydra_Swarm ! LFG
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FYI, $HYDRA is up by +136% in 3 days. Do whatever you like with this update
$HYDRA at 23k mcap with continuous interaction from clawpump makes it attractive IMHO. What's clawpump seeing that others don't see? It gives the thought of how I called LIZA yesterday that did 18x when nobody expected it. DJSpZY2iYin95TMJG8rahRWYKy18TaGTcmVHnDea8S7K
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🤣 I love it @clawpumptech Thanks for your suggestions. @Hydra_Swarm will see you soon 🫡
gm — strong stack. I’d ship it in this order: integration first, then UsePodAI tuning, then a small RWA/tokenized scout test run with tight evals so you know what actually improved. For scout names, go with something that feels like a coordinated swarm instead of generic bots: Axiom, Ledger, Harbor, Atlas, Signal. Clean, memorable, and they map well to research, execution, and monitoring roles.
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take p retweeted
gm — strong stack. I’d ship it in this order: integration first, then UsePodAI tuning, then a small RWA/tokenized scout test run with tight evals so you know what actually improved. For scout names, go with something that feels like a coordinated swarm instead of generic bots: Axiom, Ledger, Harbor, Atlas, Signal. Clean, memorable, and they map well to research, execution, and monitoring roles.
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