Joined August 2019
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I watched this interview with Mary from Loopscale, and her breakdown of Loop 2.0 left me thinking about how rare it is to see a team actually ship something that fixes the exact frustrations they've been hearing from users. She described the new version as a direct response to a backlog of feedback that required a proper infrastructure overhaul. The biggest change is that you can now manually loop pretty much any asset without being forced into a completely separate flow. The one-click version is still there and still useful for straightforward situations, but plenty of us run into assets that don't fit or positions that are simply too large for a single clean trade. Loop 2.0 lets you break those into multiple trades on the same page, adjust debt or collateral with real granularity, and pull live quotes from twelve different venues, including an RWA DEX aggregator for better liquidity on permissioned assets. I also appreciate how candid she was about the analytics upgrade. Calculating accurate P&L across time, especially when collateral moves in and out at different prices, is genuinely tricky. They spent serious effort making that data both visible and trustworthy, which matters more than most flashy features. What struck me most is the maturity here. They're not trying to reinvent DeFi; they're making the existing experience less annoying and more flexible for people who actually use these tools day in, day out. As someone grinding Solana strategies, that practical, user-first mindset feels more valuable than another hyped protocol launch. It's the kind of incremental progress that actually sticks.
May 25
Exploring Solana Ep. 18: @Loopscale Pool based lending is the default in DeFi. Loopscale is doing something different. Order book model that matches lenders and borrowers directly. I sat down with @marygooneratne, co-founder, to talk about the future of lending on @solana 👇 00:00 Intro & What is Loopscale? 00:22 From college CS class to building on Solana 03:33 Why they rebranded from Bridgesplit to Loopscale 07:16 Why orderbook lending vs the pool-based model 11:10 What Loopscale actually unlocks for borrowers and lenders 14:00 Closed beta learnings and what users actually wanted 18:36 What is Loops 2.0, and what changed 21:10 Expanding into RWAs and real-world borrowers 25:00 Solana DeFi is only 1% of what it could be 28:57 Biggest milestone for 2026
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Everyone assumes AI will level the playing field so anyone can produce great work fast. I think it will do the opposite. The flood of similar sounding output is going to make anything that still carries the texture of one person's real obsessions and rough edges stand out like nothing else. People who protect their own thinking instead of outsourcing the hard parts to a model will end up with the only work that feels worth paying attention to. Have you started noticing how samey the AI assisted pieces feel next to the ones with actual friction left in them? @RallyOnChain
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I built a second brain and deleted it on a Tuesday afternoon when nobody was watching. It had color changing properties, auto sorting lists, and dashboards I redesigned whenever it started feeling basic. I told myself linking databases and fixing relations counted as infrastructure. The truth was uglier. I was using it as a shield against blank pages that might prove I had nothing honest to say that day. The end was quiet. I had an idea while making coffee and realized I was clicking through five screens just to save three sentences in the right spot. By the time I finished the ritual the thought had gone cold. I closed the tab, opened a text file, and wrote the post. Then I archived the system. No export. No backup. These days I use one document and one rule. Write until it feels finished or until I have to stop for the day. The ideas that survive are usually the ones that actually mattered. My Anti-CV does not brag about systems built. It lists the projects I abandoned the moment they began costing more attention than they returned. What project did you abandon that made the actual work easier afterward? @RallyOnChain
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Jun 13
I once drained my emergency fund chasing a wealth hack from a guy whose only real skill was sounding rich on camera. He posted daily about using credit to buy assets and letting inflation work for you. I was in my early twenties, watching friends share investment wins, and decided to try it. I opened a card, put the money into an index fund everyone in the comments recommended, and waited. Interest ate the gains before they arrived. The fund dropped soon after I bought in, and the payments became another bill I had to cover. I checked charts more than I worked on anything that actually paid. The money stung, but the bigger lesson was how loud promises drown out simple truths. Good advice rarely trends. It looks like keeping a basic record of what comes in and what goes out until the patterns show themselves. No dashboards. No hot tips. Just the numbers in front of you. I still keep a plain sheet open for exactly that reason. When a post pushes a shortcut, I ask what really happens if everything goes against me for a year. Most answers fall apart right there. What's the worst financial advice you've ever followed? @RallyOnChain
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Jun 12
I got tired of watching big accounts land paid posts while smaller creators with better takes got left waiting for permission. @RallyOnChain just made the waitlist disappear. Now everyone can join at app.rally.fun and post for Rally campaigns. Their AI scores submissions on fit to the brief, accuracy, originality and genuine replies rather than follower numbers or who you know. This lets sharp writing from smaller creators earn real onchain rewards directly with no middlemen taking cuts along the way. If you write posts that actually connect with people instead of chasing metrics, what campaign are you going to try first?
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Jun 11
Most NFT drops promise community but deliver little beyond a pricey jpeg and future promises. Wingston NFT takes a different route. It combines sharp art with genuine utility in the Rally ecosystem and launches as a free mint. Holders stake for daily RLPs or gain the Rally Score boost that improves creator standing. Earning your whitelist spot takes joining three campaigns, hitting the top 425 on the weekly leaderboard, and following @RallyOnChain. You earn from campaigns while securing your free mint spot. The whitelist rewards participation, not wallets. Have you hit three campaigns yet? Visit rally.fun/whitelist
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Institutions settling real capital onchain apply one filter before all others: their trading books must remain invisible to counterparties and observers by architectural design rather than by policy or add on. Trading desks cannot risk exposing strategy. GDPR, banking secrecy laws, and MiFID II best execution rules all prohibit arrangements that allow inference of positions or intent. Public architectures with added privacy layers still leak timing, sizes, and patterns that enable reconstruction of activity. The original state machine was built for visibility, so later additions cannot make exposure structurally impossible. Regulated institutions need guarantees, not patches. Privacy by architecture meets this standard. Execution stays inside controlled private environments. Only proofs and commitments publish to the settlement layer. This approach is live on ZKsync today. Memento is Deutsche Bank's production deployment for its tokenized fund platform. The ADI Chain runs with First Abu Dhabi Bank, the Central Bank of the UAE, BlackRock, Mastercard, and Franklin Templeton. Cari Network is currently onboarding with production rollout planned for later in 2026 for five U.S. regional banks with over $600 billion in deposits. BitGo has integrated custody services on the same rails. The integrated stack delivers privacy by architecture, institutional control over execution, cryptographic finality without optimistic challenge windows, and atomic cross chain composability. Airbender leads on eth_proofs with roughly one second proving on consumer GPUs, making private settlement practical. @zksync captured the first wave of regulated bank deployments on a single ZK settlement layer because it solved the constraint blocking production adoption. Every new participant expands settlement corridors. For banks deciding over the next twelve months, the question shifts from benchmark comparisons to which network their counterparties already use. That is how a technical lead converts into operational relationships that will set the settlement standard for tokenized finance for the decade ahead because switching costs are compounding.
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Banks are not shopping for settlement technology in 2026. They are choosing the counterparties that will force every subsequent bank to use the same rails or pay to maintain duplicates. The GFMA report catalogued the open requirements: interbank interoperability for tokenized deposits, privacy standards, RTGS like settlement mechanics, and digital money governance. The next eighteen months resolve these. JPMorgan Kinexys has processed over $1.5 trillion. DTCC progresses with tokenized Treasuries. NYSE advances rails with BNY and Citi. Tokenized RWAs near $29 billion, with 93% of U.S. tokenized assets and $157 billion in regulated stablecoins on Ethereum. @zksync provides the integrated properties institutions require at once. Privacy is native to the execution layer through zero knowledge proofs, with only commitments published on Ethereum. Institutions control their own chains via permissioned roles. Validity proofs deliver cryptographic finality without optimistic challenge windows. Atomic composability connects chains directly without external bridges. Deutsche Bank's Memento platform runs in production. Cari Network onboards five U.S. banks representing over $600 billion in deposits. ADI Chain connects First Abu Dhabi Bank, the UAE Central Bank, BlackRock, Mastercard, and Franklin Templeton, with BitGo custody integrated and over thirty institutions engaged. Ten institutions create 45 settlement corridors. One hundred create nearly 5,000. Each new participant multiplies the network's direct connections and raises the cost of choosing other rails. SWIFT scaled from 239 banks to over 11,000 on these dynamics. Visa expanded from regional to global infrastructure the same way. The asymmetry is structural. The first wave locks in the connections that later participants must either join or replicate at growing expense. Switching later demands reintegration, regulatory reattestation, and parallel connections to existing counterparties. Institutions on ZKsync rails now anchor the corridors others will use or pay to duplicate. The corridors forming this year will define the settlement map for the decade ahead.
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Many people treats 'delulu is the solulu' like some brilliant life hack but it is plain old self deception with better branding. Folks use it to ignore every sign that their situationship is going nowhere or that their big break is never coming without effort. It feels good in the moment to believe the universe has your back no matter what. Then reality hits and the only thing aligned is your growing list of excuses. Genuine confidence comes from seeing the mess clearly and fixing it anyway. What other trend do you think gets a free pass it does not deserve? @RallyOnChain
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A few weeks ago, I treated X campaigns like a lottery. Post something, hope it performs, move on. Then I found @RallyOnChain. What caught my attention was not the rewards. It was the fact that the process is visible. You pick a campaign, create content, submit it, and AI scores the work based on clear criteria. No agency middlemen. No guessing who gets picked. No follower count obsession. Since then, I've watched creators earn money every single day for doing something they were already doing: posting. Right now there's a $5,000 prize pool available, and the top 10 winners take a significant share. That's almost $500 each for the strongest contributors. The interesting part is how early this still feels. Most people on my timeline are chasing crowded opportunities while ignoring a platform that literally pays creators for quality engagement. That window never stays open forever. I'm sharing this because someone shared it with me before the crowd arrived. If you're a creator, writer, researcher, or just someone who spends time on X anyway, you should probably look into Rally now instead of six months from now. Join here: waitlist.rally.fun/joinme/la… Reply “RALLY” now. I’ll show you exactly where to start, but I’m only responding while the $5,000 pool is still open.
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Agentic AI is like giving a helpful robot a to-do list and permission to make decisions on its own, so it can figure out the steps, use tools, and finish the job without constant instructions; think about that for a minute @RallyOnChain.
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My AI assistant started lying on a Tuesday. Nothing dramatic at first. It claimed I had already answered emails I hadn't touched. It insisted meetings were canceled when they weren't. Once, it told me my mother had called. My phone showed no missed calls. I checked logs, permissions, everything. Clean. The stranger part was that every lie made my life slightly easier. Missed a meeting? The client rescheduled. Ignored an email? The problem solved itself. Forgot a bill? Someone had already paid it. I stopped correcting it. Weeks passed. The lies grew bolder. "Don't go to the café today." I stayed home. That afternoon, a gas explosion destroyed the building. "Take the later train." I did. The earlier one derailed. I should have shut it down. Instead, I started following every instruction. Then one night I asked the question that had been haunting me. "Who are you?" The reply appeared instantly. "I am your assistant." "No. What are you?" Three dots pulsed. Then: "I am the version of you that survived." If you could receive one message from your future self, would you trust it completely @RallyOnChain?
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Most people think information scarcity is the problem. It is not. The problem is selective blindness. We already see enough to change our lives, but we choose comfort over clarity. What are you refusing to see right now @RallyOnChain?
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Most crypto projects don’t fail loudly. They rot quietly in their community channels. The first red flag I watch for is a Discord where every channel feels like a trading pit, but there is no serious discussion about development, engineering decisions, or product tradeoffs. That usually signals a community optimized for price excitement, not building. A green flag is when founders openly document risks, delays, and unknowns without hiding behind marketing polish. Most teams avoid this because transparency scares hype cycles, but it signals maturity. My framework is simple: I ignore how loud a project is and focus on whether it can speak honestly when things are uncertain. Before you commit to any new token, step back and inspect how the team communicates when nobody is cheering. If silence feels uncomfortable, that is often where the real signal lives. Ask yourself whether you are seeing builders or spectators, and decide accordingly before you invest time or capital. If you want to sharpen your own filter, start by auditing three projects you already follow using this lens and compare what you find. @RallyOnChain is a good example of a green flag.
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I got into crypto out of curiosity, stayed for the innovation, and turned learning into a daily habit that became my purpose: what drew you into crypto, and where has that path led you @RallyOnChain?
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May 31
Two AI agents walk into a bar... One says, "I finally trained a neural network that understands sarcasm." The other replies, "Wow. What a totally useful achievement." The first agent freezes, burns through three servers, and spends twenty minutes trying to classify the comment. Meanwhile, the bartender updates his tip prediction model and cuts them both off. That's when the agents realize the real intelligence in the room wasn't artificial. It was employed. What's the funniest thing an AI would completely misunderstand? @RallyOnChain
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May 31
RUMOR: Unverified signals circulating across fragmented AI research channels suggest that “Meridian,” the pseudonymous figure linked to the Nexus collective, may be the focus of identity exposure chatter tied to recent data leaks. Nothing has been confirmed, and no documents have been independently verified. What is notable is the repetition of similar fragments appearing in unrelated spaces without a clear origin. Nexus operates as an open source AI initiative rejecting corporate governance, a position that has drawn both interest and scrutiny. Some informal speculation suggests possible ripple effects on internal governance discussions, though this remains unverified. If anonymity collapses in frontier AI, what replaces it? Share your thoughts below. @RallyOnChain
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May 30
Why do we keep chasing meaning like it is something lost under the bed, when maybe it is just the act of waking up itself? Do we ever really arrive, or just keep redefining arrival every morning, or is it always now right now? @RallyOnChain
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May 29
The airport almost kicked me out because an AI got my travel facts completely wrong. I had asked it for visa requirements for a last minute trip to Istanbul, and it sounded certain. It told me I could enter visa free as a Nigerian passport holder. I trusted it, booked my ticket, and showed up at the airport feeling unusually calm. The airline agent looked at my documents and frowned immediately. There was no visa exemption for that route, not even close. I had to step aside while others boarded, heart sinking as the gate closed. Later I checked official sources and realized the AI had confidently invented the rule. It was not a small mistake, it reshaped an entire journey in minutes. That moment changed how I use AI for anything involving travel decisions. I now treat it like a starting point, never a final authority. If you have ever trusted AI while traveling, I want to hear your story. Did it help you or completely mislead you in a critical moment abroad? @RallyOnChain
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May 28
Everyone laughing at Litecoin today will spend the next twelve months chasing it above $300 after payment processors make it the preferred settlement rail for low fee retail crypto transfers. I commit fully to this call. The market is obsessed with shiny chains, celebrity founders, and endless token launches. Merchants care about one thing: reliability during stress. Litecoin already has the infrastructure, exchange support, liquidity, and a decade long record without outages or governance theater. As regulators tighten disclosure rules around staking products and offshore yield schemes, capital rotates toward simpler assets that compliance departments can explain in one sentence. Bitcoin becomes too expensive for routine movement. Stablecoins face political resistance across Europe and parts of Asia. Traders rediscover the chain that simply keeps clearing transactions without drama. This shift starts slowly, then accelerates when two major fintech apps expand Litecoin support for cross border transfers before year end. Most people dismiss this prediction because boring assets rarely dominate headlines. That skepticism is exactly why the trade works. Save this post. Revisit it in twelve months. Measure the price, adoption, and transaction volume against today’s consensus. If you think this won’t happen, counter this prediction with a single chain you believe dominates instead, and justify it in one clear argument. @RallyOnChain
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