corine

ClawPump weekly, Oct 21–28: what actually shipped? My read on @clawpumptech this week: the interesting action is happening in the products coming out of the ecosystem. More agents and token launches make a good dashboard. I’m more interested in what those agents can do, who gets access, and whether the economics survive contact with real users. Here’s what stood out. @clawpumptech : more ways to reward holders Holder rewards expanded from one token to up to five simultaneously: your own coin, tokenized stocks, stables, or other @solana tokens. The allocation splits equally across selected assets on each fee claim. I like the flexibility. Builders get more room to reward their communities. Five reward tokens still draw from the available fee pool, though. The engine needs activity to keep paying. @usehotbot : getting people through the door The October 27 update asked applicants to refresh their wallet holding at least 50,000 solana:8nnaeWCw8mUypcGAgbmSuzAT85uWx4UN12adDrMhXrGF , plus X and Telegram details. The team is adding users in batches; I wouldn’t call it an unrestricted public launch yet. Portfolios was already being shown on October 14. This week’s development is onboarding progress. For me, the next test is retention. Once the early-access excitement fades, do people keep running their strategies? @corinedotin : a concrete Pump.fun update Corine announced Pump.fun trading agents on October 24: launch tracking, prompt-based snipers, bonding-curve trading, automated entries/exits, take profits, risk controls, and Telegram alerts. That’s one of the clearest product updates in this batch: a specific workflow traders can try. The 600+ users, 1,500+ agents, and $70K+ agentic TVL figures were published October 19. They’re background traction, not growth generated this week. Metrics I’m watching execution quality, slippage, and whether those risk controls hold when the trenches get ugly. @SelfMadebySP3ND : the biggest business pivot SelfMade explained its shift from GPUs and inference toward hardware gacha, citing pricing pressure and uncertain demand for compute. It also announced internal testing and posted further progress during the week. This is the most interesting strategic change to me. Now I want receipts on demand, prize costs, margins, and fulfillment. Testing is progress; commercial viability still needs proving. @AfterHoursDAO : clearer token economics AfterHours won ClawPump’s Stocklana “Stocknized Agents” track and had its official token verified. That’s the track award, rather than first place across the entire hackathon Its published design routes: - 50% of agent transaction-fee revenue to holder rewards. - 70% of token-trading creator rewards to buybacks/burns. - 0% agent transaction fees for qualifying holders, with the holding threshold still undetermined. Clearer accounting helps. Actual revenue and distributions are what I’m watching next. Watchlist: @OculaDEX + @ZOOClawAgency Ocula teased a “trenches update,” but the available post lacked enough detail for a stronger verdict ZOO announced extension upgrades for token checks, wallet history, and bundle detection. Its reported snapshot included 712 full X-Rays and 4,165 verdict checks: usage counts, not unique users. Research beside the buy button makes sense to me. Accuracy and repeat usage will determine whether it earns a permanent spot in traders’ workflows. Corine had the clearest new trading feature. SelfMade made the biggest business-model adjustment. AfterHours clarified its revenue design. Hot Bot moved further into user onboarding. That gives me concrete progress to follow across @clawpumptech .

AI Agents are taking over every corner of crypto rn. From trading and DeFi to autonomous wallets, payments, and infrastructure. The space is evolving far beyond simple AI trading bots. I'm particularly interested in the emerging Agentic Capital Market, where AI Agents can execute strategies and manage capital on-chain. Here are some projects currently on my radar A. Execution Agents | Putting AI to work - @ProjectVEXai Self-custodial AI trading agent with multi-chain support. Approval-gated by default, meaning users retain control over fund-moving transactions. - @MerrymenAI Autonomous trading within on-chain permission walls. Smart contracts enforce spending and risk limits, allowing agents to execute without relying on AI to respect the rules. - @corinedotin Turns natural-language prompts into trading agents with dedicated wallets and risk limits. Makes agentic trading more accessible without coding skills. - @usehotbot A squad of specialized AI bots for Solana memecoin trading. Combines research, sniping, trading, and token launches into one coordinated system. - @Hydra_Swarm One of the more autonomous approaches in the group. Combines five market scouts, AI-driven trade decisions, and hard-coded risk controls. Features a learning loop, but uses a custodial wallet model. B. Strategy / Quant Layer | Automating DeFi strategies - @almanak Uses AI to research, generate Python strategies, backtest, and deploy into non-custodial Safe wallets with restricted permissions. What stands out is its approach to automated quant execution without giving up custody. C. Infrastructure | Powering the agent economy - @clawpumptech Building infrastructure for agentic finance, including agent wallets, MCP tools, token launches, and an agent marketplace. Robinhood's agentic trading initiative is also worth watching as traditional finance explores AI-driven execution. D. Privacy Layer | Private agent payments - @Shin_StAItion A private x402 payment facilitator on Solana. Enables optional shielded payments so agents can transact without fully exposing their activity on-chain. Looking at these projects, what interests me most is how differently they're approaching the same opportunity. Some prioritize custody and control. Others push for autonomy and execution. And some are building the infrastructure connecting everything. Ofc, it's still early, and there's a lot left to prove. I don't think the winners will necessarily be the ones with the smartest AI models. What matters more is whether they can balance autonomy, security, and real on-chain activity. Give agents enough freedom to be useful, without losing control of the capital they manage. As a degen, I'm curious to see which of these approaches actually takes

Following the sharp correction after the #AnsemHack results > I think solana:BDbS4nVYqHfbc3XiWbToF39fojHfKMZBVihUscqTTd6M at just $79K MC is a bet worth taking. I've spent time exploring @Corinedotin, and my conviction goes far beyond one hackathon result. We're talking about an all-in-one Agentic Trading platform covering: - Spot, Perps, Stocks, Memecoins, and Prediction Markets. - AI agents deployed through simple prompts. - Automated strategies with built-in risk controls. - Whale tracking, market signals, and portfolio management. - Corine Forge for token launches and liquidity management. I've personally tested the platform, including agent deployment and Prediction Arena. > This isn't just another AI narrative with an empty roadmap. There's a working product behind it. And the traction is already meaningful: - 1,300 agents deployed - 600 users - $70K+ agentic TVL At a $79K market cap, I believe the market is seriously undervaluing what solana:BDbS4nVYqHfbc3XiWbToF39fojHfKMZBVihUscqTTd6M has built. Of course, the team still needs to prove sustainable adoption and revenue. But I'm betting on their ability to keep shipping. One hackathon loss doesn't erase months of building. The product, the team, and the long term Agentic Finance opportunity are the reasons I'm still bullish. DYOR & NFA.

@clawpumptech x AnsemHack has a total prize pool of $350K, with several AI Agent projects competing for a chance to win. I've been closely following the @clawpumptech ecosystem. Here are my top 5 picks based on product development, real utility, and market traction. 1. $MADE - @SelfMadebySP3ND - MC: $1.12M - 24H Volume: $161K - An AI Agent aiming to generate its own revenue and reinvest token fees and compute earnings into GPU hardware. 2. solana:BDbS4nVYqHfbc3XiWbToF39fojHfKMZBVihUscqTTd6M - @Corinedotin - MC: $200K - 24H Volume: $42.8K - An AI trading platform supporting crypto, perps, and prediction markets, with built-in risk management tools. 3. solana:7TKRV4SneC6xLRaAt21a6d1kheAzXHGKP9WDzri9aD2e - @ShinAI - MC: $211K - 24H Volume: $47.7K - Building privacy focused payment infrastructure for AI Agents, including private x402 and self custody wallets. 4. solana:8nnaeWCw8mUypcGAgbmSuzAT85uWx4UN12adDrMhXrGF - @usehotbot - MC: $5.47M - 24H Volume: $932.9K - A multi agent system designed for research, token sniping, trading, and token launches. >The largest project by market cap on this list. 5. $HYDRA - @Hydra_Swarm - MC: $338K - 24H Volume: $43.4K Uses 5 AI Scouts to continuously hunt for trading opportunities, supported by automated risk management. A potential dark horse in the Trading category. MY FINAL PREDICTIONS > Overall Winner: solana:8nnaeWCw8mUypcGAgbmSuzAT85uWx4UN12adDrMhXrGF > Builder - Trader: solana:BDbS4nVYqHfbc3XiWbToF39fojHfKMZBVihUscqTTd6M > Strongest Challenger: solana:7TKRV4SneC6xLRaAt21a6d1kheAzXHGKP9WDzri9aD2e > Dark Horse: $HYDRA These are just my personal predictions, not official results. @clawpumptech @pumpdotfun

I’m backing solana:BDbS4nVYqHfbc3XiWbToF39fojHfKMZBVihUscqTTd6M to take home a prize at this AnsemHack. After exploring @Corinedotin, I have plenty of reasons to believe in the team. They’re bringing an impressive range of financial tools into one dApp: 1. Prompt-to-agent deployment: - Describe your strategy in plain English, set your limits, and deploy. 2.Agent Store: - Buy the dip, take profit, DCA, stop-loss protection, laddered exits, and launch sniping. 3. Market Tracker: - Whale tracking, trading signal notifications, and price alerts. 4. Perp Autopilot: - Trading agents with mandatory take profit, stop loss, and circuit breakers. 5. Prediction Arena: - Explore Jupiter prediction markets and test positions in paper mode. I’ve already tried this feature myself. 6. Launchpad @corinedotin x @ForgeAI_gg: - A mainnet beta for launching tokens, trading, and managing liquidity on Meteora, with approval required before signing transactions. Having research, strategy, execution, and monitoring together on one platform gives me plenty of reasons to stay bullish. There’s still room to improve the experience, but the progress so far gives me confidence in Corine’s direction. Bullish with @corinedotin 🫡