Content on wallet tracking got a lot of attention and questions, so here’s a detailed breakdown of how it works on Nansen. These tracking tools keep evolving, but imo the best right now is @nansen_ai, a multichain AI analytics platform focused on tracking Smart Money.

As long as I live, I’ll keep learning how to live. The greatest know they don’t know.

One of the worst habits is living in expectation. Transform it into gratitude and watch the quality of your life rise with it.

I just joined @ethos_network which is the one I've been looking for 2 months but I'd say its the hardest one Luckily I was invited by @kenodnb the king of Pendle who's like my profressor in this career. I actually met him when I first started exploring Infinit, and I honestly think he's the best all-around creator out there For now, Ethos looks unmatched and i didn't expect they are making this banger UI The purpose I've found people are using Ethos is all about trust giving to the account Another feature I like about Ethos is that people can provide honest thoughts about a Web3 project It's quite impactful to see genuine feedback from the community, especially when it comes from real and solid users There are also daily tasks for weekly xp distributed, which is great for me to actively using Ethos everyday The idea of creating this app is so much genius, I've not experienced any kind of dapps like this before Preach to the realest community in Web3

After reading @kenodnb's post, I realized I should’ve looked into Mira’s impact on education way earlier. . . Because what Mira is doing isn’t just “AI for test creation”, it’s a real leap in how we learn and teach. ➤ Take Learnrite as an example, they used @Mira_Network to upgrade their whole test-making pipeline: + Error rate in questions dropped from 28% ➜ 4.4% + Review time per question cut from 60 minutes ➜ just 2–3 minutes + Cost per high-quality question slashed from $5 ➜ $0.30 + Weekly output grew from 40 questions ➜ 1,200 + And now even UPSC exams are fully personalized based on student ability That’s already impressive. ➥ But Keno’s piece made me wonder, who’s this tech really for? ➤ Students definitely benefit: + Get questions that match their level + Save study time + Focus on their actual weaknesses ➤ But what if teachers used it too? + A Literature teacher could use AI to suggest prompts tailored to each student’s learning style + A Physics teacher in a small town could generate standardized exams like those in top city schools, all with just a laptop and @Mira_Network ➜ AI becomes a teaching partner, as Learnrite showed, Mira turns teachers from creators to validators. ➥ Every kid deserves a fair shot at learning These days with all the tech and global stuff, learning’s getting way easier, but mostly for kids who already have access. Meanwhile, it kinda makes things harder for those in remote areas to catch up. . . 🩶 I’ve always wished that kids living far away could get the same shot at learning as the ones in big cities. It’s not simple, I know, but I still really believe everyone deserves a fair chance at education 🌻

Did boomers unintentionally lay the seeds for Bitcoin's success by pricing millennials and zoomers out of the real estate market? Maple Finance's @syrupsid on @thebellcurvepod... Very interesting topic:

Previously, I covered how @Mira_Network helps power @Delphi_Digital’s AI assistant, Delphi Oracle. Today, let's look at another use case. Mira’s verification tech helped Learnrite scale from 40 to 1,200 exam questions a week per expert, without sacrificing quality. Here’s how it changed everything for one of the most competitive exams on Earth: Over 1.5M students in India take UPSC every year. They compete for just 900 positions in the prestigious Indian civil services. An acceptance rate of less than 0.06%, making it arguably the world's most competitive exam. To succeed, students need personalized, high-quality questions. But building that kind of content is slow, expensive, and nearly impossible to scale. Learnrite’s goal was simple: Give every student personalized UPSC prep, no matter their budget. But it cost $5 and 60 minutes per expert to write a single quality question. Scaling across subjects? Completely unaffordable. They turned to AI. At first, it seemed to work. Fast generation, right topics, clean grammar. But 28% of questions had serious factual or logical errors. You can’t train for UPSC with broken content. That kind of failure can cost students everything they’ve worked for. Manual review didn’t help either. Experts still spent nearly as much time fixing AI questions as writing them from scratch. The economics didn’t change. Quality still suffered. The vision felt out of reach. Then came verification. Instead of fixing AI, Learnrite partnered with Mira to verify AI. Mira uses multiple AI models to cross-check each question. Only those with consensus get through. Error rate fell from 28% to just 4.4%. Here’s what changed inside Learnrite: - Question speed: 40 to 1,200 per week - Review time: 60min to 2-3min - Cost per Q: $5 to $0.30 - Questions per topic: ~50 to 500+ They could now build personalized question sets at scale. Within 6 months, they scaled verified questions across the entire UPSC curriculum. Experts stopped creating. They started evaluating. That single shift, create first, verify second, flipped the entire production model. High-quality content now costs 94% less and takes 95% less time to validate. This changed everything for students: - Questions now match their level - Weak areas get more focus - Difficulty adjusts automatically - Fresh topics launch in days, not months Better learning. Less wasted time. More chances to succeed. As a bonus, AI often generated unique questions experts wouldn’t have come up with. With verification in place, Learnrite could safely use these creative angles to improve student reasoning. Mira’s verification layer didn’t replace humans, it multiplied their impact. The future of education depends on our ability to scale high-quality content without losing trust. That’s exactly what Mira’s verification layer delivers. And Learnrite is just the beginning.

Repetition is the mother of mastery. ...but only if it's done with intention, focus, and purpose.

This conversation about protocols becoming "invisible" infra captures something important happening in crypto right now. The prediction is spot on. Most users won't know they're using Web3 if the experience is smooth enough. No seed phrases, no manual transaction signing, no gas fee confusion. Just apps that work like the Web2 tools people already understand. What is happening currently👇 1/ Protocols like @infinit V2 will be handling complex DeFi operations automatically 2/ SuperApps like @DeFiApp adding perps + yield farming along w spot trading + acting as a wallet 3/ Account abstraction eliminating technical barriers 4/ Apps bundling all Web3 functionality into familiar interfaces Successful Web3 integration happens when users don't have to think about the underlying complexity. Why I'm positive on @defidotapp & @Infinit_Labs specifically👇 > They're building exactly this kind of invisible infra > Instead of making users learn DeFi protocols, they're creating a mobile first experience > You just interact with simple interfaces while the app handles routing, optimization & execution automatically Most people discover new financial apps on their phones, not desktop. If they both can make this as simple as using a banking app, they capture users who would never touch other DeFi platforms. Remember that mainstream adoption happens when technology becomes invisible. People don't want to learn about DEXs, liquidity pools or gas optimization. Instead they want results without complexity. @defidotapp & @Infinit_Labs seems focused on solving the right problem I.e making powerful DeFi functionality accessible without the learning curve.

In my July 11 post, I shared tips to climb the @Infinit_Labs leaderboard. These are still highly relevant, especially if you’re prepping for Season 2. But I see many still trying to farm replies, asking for follows, generic engagement, and basic posts. IMO, this doesn’t work. InfoFi’s algorithms are getting smarter every day. They’re designed to filter noise and reward content that actually drives product usage. So what’s really needed? Content that people want to read: 🔹Unique 🔹High-quality 🔹Relevant to the product 🔹Leading to actual usage If your content doesn’t help users use the product, you’re not playing the right game IMO. If you want to position yourself before INFINIT V2 goes live, focus on DeFi strategy preparation as a creator. FOMO will be real when V2 hits, especially for popular strategies. Don’t start thinking about it when it’s already live. Start now. Here’s a framework that still applies: 1⃣ Understand the DeFi protocols inside INFINIT Know every protocol supported. Understand how they connect inside the Terminal. You can’t create valuable content if you don’t know the tools. 2⃣ Focus on strategies with real demand Auto-rebalancing loops, delta-neutral yields, time-saving automations. Think like a user: what’s practical, what solves a pain point? 3⃣ Get inspiration from X Look for strategy ideas that are trending for a protocol or where protocols are combined. Follow DeFi minds like: @phtevenstrong @0xCheeezzyyyy @Slappjakke @kenodnb @YashasEdu @info_insightful @SiloIntern @PendleIntern @crypto_linn @defi_mago @lstmaximalist @0xTindorr @0xMughal They share real strategies daily. 4⃣ Test manually before V2 automations Run strategies yourself with small funds. If you don’t understand the manual flow in V1, you’ll struggle to explain and execute a possible automated version later. 5⃣ Use the Terminal for risk analysis Understand risk: simulate strategies, stress-test routes, and document how they can be optimized. This shows you understand how to use the product properly. 6⃣ Leverage Infinit Agents for execution Ask Agents to brainstorm with you. The more you experiment, the more unique insights you’ll gain and the more creative you will be with new strategies. 7⃣ Document clearly Write step-by-step guides. Break them into Low / Medium / High risk. Help users understand what they’re doing, when your strategies are live. 8⃣ Promote on X with transparency Promote your content and attract investors. Visualize strategy flows. Be clear about steps, gas costs, and outcomes. Transparency builds trust and makes your content shareable. FOMO will be loud when V2 drops. But those who already know how to build strategies, explain them, and drive product usage will rise fastest. You decide if you want to be ready or reactive 🤝