Configurable AI agents powered by @composio and @kilocode. Pay with $RANDI for agent usage. Aggressive token burn mechanism. https://xitter.cf/t.co/RjE5sBoZLa

Wherever you are, I am
Joined February 2026
Most people are waiting for users. I decided to become the first one. I launched randi.agency to use $RANDI myself for SEO services. Every client = ongoing agent usage = continuous $RANDI token demand. Simple idea: don’t wait for adoption, create it. Also: this stuff is not as easy as influencers make it sound. It takes real work to get agents doing useful things. If you need help, my DMs are open. It's not fully automated yet, but it will be. Also, I will pay a commission on any work you bring me. LFG!
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Randi Agent retweeted
Solana just released thr official Solana Agent Skills. together with this release, the canonical Clawpump skills have been added to their Community skills under the DeFi category the agentic economy belongs in @solana
Introducing Solana Agent Skills Pre-built skills you can drop into AI tools to interact with Solana. Install in one line and build agents that know Solana.
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Been very busy, but I have been in the background working. I'll have some news later today that should be very bullish for the future of this project.
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Yikes!
🚨NEWS: Cursor’s $50B “in-house model” is literally Kimi K2.5 with RL on top. Got caught in 24 hours >be Moonshot AI >spend hundreds of millions training Kimi K2.5 >1 trillion parameters, 15 trillion tokens, agent swarm architecture >beat GPT-5.2 and Opus 4.5 on real benchmarks >open-source it because you believe in the ecosystem >one condition: display “Kimi K2.5” if you make over $20M/month from it >Cursor takes the model >runs RL on coding tasks >ships it March 19 as “Composer 2” >blog post: “continued pretraining + scaled reinforcement learning” >zero mention of Kimi K2.5 >“our in-house models generate more code than almost any other LLMs in the world” >publishes benchmark chart >Composer 2 against Opus 4.6 and GPT-5.4 >uses the chart to justify raising at $50 billion! >less than 24 hours later >kimi dev intercepts the API response >model ID: kimi-k2p5-rl-0317-s515-fast >they didn’t even rename it >Moonshot head of pretraining runs tokenizer test >confirms: identical to Kimi’s tokenizer >publicly tags Cursor’s co-founder: “why aren’t you respecting our license?” >two more Moonshot employees post confirmations >all three posts deleted within hours >legal is now involved >but it gets worse >Cursor had Kimi K2.5 listed as a FREE model in their UI just weeks ago >users were openly using it >Feb 9: “K2.5 was in my model list. I updated and it vanished” >it vanished because Cursor pulled it from the picker, and relaunched it as their own model >Moonshot valuation: $4.3B >Cursor valuation: $50B Absolute state of Cursor.
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I still think pump fun is useful. You just have to think about it in a different way, which is what I'm trying to do. I know I haven't been active in a few days. I've still been working on $RANDI though. In fact, I hope to have some more updates today.
The Reality of the Trenches (Last 24h Data) Let’s break down how brutally hard it is to be profitable right now using real numbers: 27,061 tokens launched 571 tokens graduated → ~2.11% survival rate 13 tokens above $50k market cap after 24h → ~0.048% 8 tokens above $100k market cap after 24h → ~0.029% STEP 1: Survival Out of 27k tokens, only 571 made it to bonding. That means ~98% die instantly, already here, your odds are: 1 in 47 to even touch something “alive”. STEP 2: Quality among survivors Out of those 571 bonded tokens: Only 13 are still above $50k after 24h → ~2.28% Only 8 are still above $100k after 24h → ~1.40% Even after filtering for “survivors”, ~97–98% still fail to sustain value Step 3: True odds from launch From the full set: $50k+ (after 24h) → 0.048% (1 in ~2,081) $100k+ (after 24h) → 0.029% (1 in ~3,383) Reality check: profitability And this is where it gets worse: You’re competing against bots, insiders, and dev wallets Realistically: - Only a tiny fraction are actually profitable trades - Estimated real edge: ~0.01% (1 in 5,000–10,000) This is not 2024 anymore, the game has changed. Now it's not a matter of locking in and being fast. ~98% are dead on arrival ~2% survive ~0.05% sustain relevance ~0.01% are actually profitable If you’re trading randomly, you’re gambling. To win, you need an edge. Otherwise, the math is simply against you.
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Good news today. I was accepted into the @composio Startup Program and received $10k in credits to keep building. Appreciate the support. Price goes up or down, it doesn’t matter. I’m going to keep building because I believe AI agents are going to fundamentally change how work gets done. randi.chat
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How ya doin $RANDI?
Onchain Agents are taking over, and we’re building tools to accelerate the Agentic Economy on Pump fun The first step: Automated Buybacks for Tokenized Agents - our solution to bridge the gap between agentic success and human opportunity Live now, here's how it works 👇
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Oof
JUST IN: Trader accidentally swaps $50 million $USDT for $36,000 $AAVE on Ethereum.
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NVIDIA getting in on the agent game.
NVIDIA is now releasing their own open claw 🤯 nemoclaw will be an opensource ai agent built for the enterprise world. It can run on amd, intel, or whatever hardware NOT just nvdia gpus. This is a massive signal for the direction of ai agents. Open claw showed the world what is possible. They are NOT going anywhere.
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1/ Spent the weekend tightening up the product UX and reliability in Randi. Big themes: • smoother auth/session handling • clearer onboarding • better approval UX • cleaner integrations flow • safer dependency refreshes
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7/ Also normalized UX language across the app so the product feels more consistent across: • dashboard • chat • integrations • how-it-works • workflows / automations Small copy changes, but they add up to a much clearer experience.
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8/ Wrapped the weekend with an integrations page flicker fix and a safe dependency patch refresh. Net result: the app should now feel more stable, more understandable, and more trustworthy when moving from chat into real tool actions.
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We have integrated this tech in our platform.
let's reintroduce ourselves 👉 agentcard.sh
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