dCatalyst
@C_InnocentN
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Content Chef; Community Maxi. Ghostwriter. Cutting through the clutter to find insights. DeFi ➡️ DeFAI.
Joined July 2021
DeFAI is the next level of account abstraction, but people are sleeping on this. For years proponents talked so much about chain and account abstraction. How users can seamlessly interact with multiple chains. Also, how users can pay gas fees in any token. NEAR Protocol led
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Crypto market analysis is complex:. ➡️ DeFi moves fast - a lot happens in a short time. ➡️ Platforms run 24/7- lots of data to unpack. ➡️ Myriads of protocols, tokens, and pools across multiple chains. But, @aixbt_agent matches DeFi's pace with real-time insights and
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The Bull is Back, but. BTC reached a new ATH, and the market buzzes with Bullish signals. Even my normie friends have asked which coins to buy. But, here are my initial thoughts about the market:. 👉 Firstly, this cycle looks different. We have seen Bitcoin reach an ATH, yet
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A clear strategy will fix your personal brand. Last week, I hopped on a discovery call with a client. She had created random content pieces for years. But essentially stuck and tired out: no clients, no inbounds, and no engagement. She thought a website would be a quick fix.
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DeFAI 🤝 Openledger. DeFAI agents need intelligence. OpenLedger builds the infrastructure to power them.
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Time to hop in guys.
Enter Aurevo AI 🕵️. Our website is LIVE, and the beta form is open for early anons. The first AI agent, Leto, is booting up for launch, integrate Leto into your DeFi strategies. Only those who sign up for the beta will unlock access. 🛜 Plug in now at
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Vibe Check: Delete One Social channel. What's off? Drop your thoughts 👇.
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General models require generic and vast datasets. But @OpenledgerHQ's specialized models demand high-quality and targeted data to power specialized agents.
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RT @C_InnocentN: Private credit has historically outperformed traditional investment classes. But Retail couldn't touch it. They were rese….
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If you’re just starting out, here are 5 tips I learned while building my personal brand from scratch. 1. Build X Lists. Identify 5 to 20 strong accounts with a similar audience as yours. Your goal is to build off their following. How? Turn on notifications and share useful.
I started building my X brand last year after focusing heavily on clients’ work. Here are 10 lessons I learned building a personal brand on X (applicable for LinkedIn, too):. 1. The people you need are there already. You didn’t and most likely won't bring any new users to X. 2.
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I started building my X brand last year after focusing heavily on clients’ work. Here are 10 lessons I learned building a personal brand on X (applicable for LinkedIn, too):. 1. The people you need are there already. You didn’t and most likely won't bring any new users to X. 2.
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Private credit has historically outperformed traditional investment classes. But Retail couldn't touch it. They were reserved for institutions. But today, @goldfinch_fi is enabling global retail investors access to tokenized private credit via Goldfinch Prime. Here is why you
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If you’re not invested in content distribution right now, you’re doing it wrong. Over 7 million blog posts are published daily in 2025. While about 500M tweets are shared daily on X. As it stands, content supersaturation is real. The surge in AI models and LLMs means:. 👉 More
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To wrap up. OpenLedger isn’t just any AI model (Llama and DeepSeek); it’s specialized for specific use cases. OpenLedger optimizes for efficiency and accuracy. It combines its best tools (datanets, Proof of attribution, Model factory and OpenLora framework ) to shape AI’s.
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How OpenLedger stands out:. 💠 Fair Rewards: Data contributors are tracked and rewarded via fair attribution. 💠 Full transparency for AI usage: Each inference is traced to its origin, whether it's a chat, task, or API call). 💠 Data credibility: Contributor reputation is.
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With OpenLora, Openledger achieves:. 👉Scalability—high throughput, lower resource consumption. 👉Cost reduction—serves thousands of models on a single GPU. 👉Efficiency and personalized AI models—users fine-tune and deploy their own LoRA adapters.
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3. Open Lora:. A framework that serves thousands of fine-tuned LORA (low-rank adaptation) models on a single GPU. Open Lora makes AI model deployment efficient—no need for massive model training or multiple GPUs.
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2. Model Factory:. No-code platform where users fine-tune LLMs like LLaMA or Mistral using approved datasets. GUI-only experience. No need for command-line tools or API integrations.
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OpenLedger’s cryptographic fair attribution system links model outputs to contributors:.data,.compute,.or algorithmic tuning. Everything is tracked via the blockchain.
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Features? .OpenLedger comprises:. 1. Datanet and Proof of Attribution. Contributors provide high-quality, verified data. Datanets aggregates, validates, and distributes domain-specific datasets for AI model training.
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