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🧩 What makes SoDEX unique? Not just another DEX — it runs on ValueChain, a modular blockchain with “HostChain + AppChains” design. ⚡ Spot & Perps each run on their own chain ✅ Deterministic execution (no gas wars, no failed txs) 🔗 Full EVM interoperability So… here’s the question...

26,654 次观看 • 10 个月前 •via X (Twitter)

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Today, we’ve successfully launched Band Oracle v3 Testnet Phase 2 — our biggest upgrade yet. This release makes BandChain faster, more transparent, and more interoperable than ever. Let’s break down what’s new👇 What did we achieve? — 3x Faster blocktime from 3s —> 1s — 10x symbols cap expand from 100 —> 300 symbols — 10x Higher Throughputs: 40k to 400k TX/day — 3x Max TXs Support/ Day: 7.2M TXs —> 21.6M TXs 🌐 New Data Tunnel routes are LIVE We’re expanding Band’s oracle reach across the multi-chain world: —> Cosmos - The Interchain ⚛️’s IBC-Hook: seamless interchain contract querying —> Router Protocol: Bridging & EVM chains & Soon on Solana —> Axelar Network: ongoing collab for cross-chain verified feeds Interoperability is no longer a wishlist — it’s real. 🛠️ Minor upgrades with major impact: — Cylinder CLI runs standalone — Signal times are now block-based (not machine time) — Auto-select TSS groups — Yoda now auto-bumps gas to avoid TX failure — Telemetry for BeginBlock/EndBlock durations It’s all about smoother ops for devs and validators. 🧪 What’s next? ✅ Recap + docs for Testnet Phase 2 ✅ More Data Tunnel stress testing ✅ Backend + validator-side optimizations 🚀 Mainnet Launch in Q3 2025 We’re almost there. Band Oracle v3 is becoming the go-to open data oracle for all ecosystems. Fast. Transparent. New standard for Multi-chain native. Thanks to the validators, devs, partners, and Band community for building this with us. Let’s keep going. Read the full announcement here:

Band

17,921 次观看 • 1 年前

Phase 2 is now complete ✅ Sei v2 mainnet beta is officially here and It’s the most performant EVM blockchain ever built. The future starts here, read more about the Sei vision and the journey ahead here: One thing is clear since the recent launch of the first parallelized EVM: deployments and on-chain activity are up and to the right. Looking ahead, the Foundation’s focus will truly be on builders; we invite developers and innovators to join us on this journey. If you are an EVM builder, you are a Sei v2 builder. To get started, check out the recently revamped Sei docs here: Explore some of the teams and projects that are live and building on Sei v2 👇 DeFi 🏦 🚜 Liquid staking with Silo 👂 Borrow and Lending with Yei Finance 🐉 Exchange ERC20 & CW20 tokens with DRAGONDEX ツ Create & trade memes on Sei with no coding experience with ツmeme.trade (🟩,🟩) 🗿 Orderbook like DEX with Bancor & Carbon DeFi 🪼 Provide liquidity and trade a diverse range of assets with jellyverse 🦄 Bridge, trade, and deploy positions on Uniswap v3 contracts through Oku Trade 🐼 🎰 Explore prediction markets, sports books and PvH games with @gamblino_app 🌬️ Gain early access to projects on Sei and launch tokens without the need of any developer experience with TAILWIND LABS 🟩 Cross-chain aggregator, enabling seamless swaps with on-chain providers with Rubic 🌟 Decentralized trading with AMM swaps, limit orders, and perpetual swaps with XEI 🍲 Options and fixed lending strategies with MYSO 🪸 Aggregate swaps for optimized rates with OpenOcean - An EVM + Solana DeFi Aggregator ✨ Participate in AI-powered prediction markets and trend analysis with PredX | Staked Media ⚡️ Launch, trade, and explore new tokens with @seiyandotfun NFTs 🎨 🌊 Leverage rapid finality and high throughput for NFTs with OpenSea 🟠 Buy, Sell, and trade your favorite NFTs on Sei with Pallet Exchange | The Sei Marketplace 🕺 Utilize tools and standards for easy NFT creation, management, and distribution, all via Lighthouse by WeBump Bridges 🌁 ⭐ Explore seamless interoperability and efficient cross-chain transactions with Stargate 🐙 Bridge from the wider EVM ecosystem with Symbiosis 0️⃣ Deploy applications on Sei v2 with LayerZero Labs 🦑 Swap tokens and access apps across EVM and Cosmos with squid in just one click 🌉 Bridge ETH from EVM chains to save on gas fees while exploring Sei's ecosystem with Merkly Wallets 👛 🔐 Stay secure with encrypted chats, track NFT drops, connect with DeFi communities, and share your insights— all with @SeiChats 💸 Manage assets with decentralized custody using Protofire | Token Utility Engineering, a multi-sig wallet utilizing Gnosis Safe 🐰 Ensure safe and seamless EVM interactions with the open-source Rabby Wallet Wallet 🧑‍💻 Unlock with Face ID/fingerprint and enjoy auto-token/NFT indexing with @Seif_Wallet 🧭 Connect to both EVM & Wasm based apps with Compass Wallet | Sunset on 28th May 🪄 Seamlessly onboard users and empower ecosystem developers with Magic Labs 🔓 Utilize a comprehensive MPC wallet platform and web3 gateway with FORDEFI Analytics & Data 🤓 🏦 Track and analyze your tokens, NFTs, and assets with DeBank 🔮 Access 500+ real-time feeds and on-chain randomness with Pyth Entropy on Sei v2 with Pyth Network 🔮 🏗️ Enjoy fast & reliable data for your Sei dapps. Build subgraphs with The Graph in Subgraph Studio 👣 Track the Sei blockchain with the comprehensive explorer from Seitrace 💧 Access NFT data, create and fill NFT orders, and build trading into your app with Reservoir 📊 Access on-chain data and learn through the Sei Academy with Flipside 📈🤖 💜 Get a high-level view of key metrics with the Sei ecosystem page by 👉 follow @Artemis 💪 Ensure proactive security and risk prevention with HypernativeLabs 🌟 Sei Creator Fund to support v2 growth with Gitcoin Charts for Sei V2 ​💹 🎯 Defined 🦅 DEX Screener 🦎 GeckoTerminal ⛓️ Chainspect This is just the beginning for Sei v2. With new teams joining daily, we're parallelizing the future. Stay tuned as we push the boundaries of innovation and fulfill the Sei vision of scaling the EVM 🔴💨

Sei

186,627 次观看 • 2 年前

I just built a Meta Ads diagnostic in Claude Code that tells you WHY your account broke, not just what changed 🤯 It spins up a team of agents that each investigate a different reason performance dropped, then argue against each other to kill the wrong answer before it ever reaches you. All inside Claude Code. Perfect for DTC brands and agencies who panic-kill creative the second CPA spikes. If you've watched ROAS fall off a cliff and opened Ads Manager with ten tabs going, you already know what happens next. Your gut says "creative fatigue." You kill your best-performing ad. A week later performance is still broken, because that was never the problem. Guessing wrong is the most expensive move in paid social. This workflow ends the guessing: → One agent investigates each competing theory — creative fatigue, budget and delivery changes, traffic quality, offer and seasonality → Each one is blind to the others, reasoning only from its own slice of the data so they can't bias each other → A refuter agent then attacks every surviving theory and tries to kill it → A theory only stands if the data can't disprove it → You get a ranked diagnosis: the real cause, the evidence for and against it, and the one move to make this week No anchoring on the first obvious answer. No killing winning creative on a hunch. No "here's what happened" reports that never tell you why. What you get: → Every theory tested in parallel instead of one biased guess → An adversarial pass that kills the wrong answer before you act on it → A ranked diagnosis with confidence levels and evidence both ways → A reusable workflow you drop next month's export into and re-run Built 100% in Claude Code with the new dynamic workflows. The first account I ran it on looked like textbook creative fatigue. The workflow disagreed, and traced the real cause to a budget change that had doubled spend and flooded delivery with junk traffic. I put together a full playbook with the exact workflow, the prompt, and how to run it on your own account. Want it for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)

Mike Futia

12,729 次观看 • 1 个月前

Claude Fable 5 + Claude Design is f*cking insane 🤯 Anthropic just dropped its most intelligent model ever, and the first thing I pointed it at was email design. I built a complete email campaign design in Claude Design, and the difference is night and day: tighter layouts, cleaner hierarchy, on-brand from the first generation. All inside Claude Design with Fable 5. Perfect for DTC brands and agencies who are still paying email agencies $3-5K/month for campaign designs that take 2 weeks to ship. If your campaign calendar is packed but every new email means briefing a designer, waiting on mockups, sending notes, and waiting again... This workflow eliminates the entire bottleneck: → Load your brand design system into Claude Design once (colors, fonts, logo, button styling) → Switch the model to Claude Fable 5 — Anthropic's new state-of-the-art model with the best vision of any AI → Prompt the campaign email section by section: header, hero, headline, offer block, CTA → Fable 5 nails layout and brand details that older models fumbled → Iterate inline — swap images, adjust styling, color-pick directly in the canvas → Export the finished email and hand off to your ESP No briefing a designer. No 2-week turnaround on a single campaign. No paying an agency $4K/month for 4 emails. What you get: → Campaign emails designed in minutes, not weeks → A reusable design system every new email pulls from automatically → Noticeably smarter design decisions from Fable 5's upgraded vision → Full inline editing before anything touches your ESP Built 100% with Claude Design + Claude Fable 5. I recorded a full walkthrough showing exactly how this works. Want it for free? > Like this post > Comment "FABLE" And I'll send it over (must be following so I can DM)

Mike Futia

42,824 次观看 • 1 个月前

What would you have done? Merge right and let it play out? Hold your ground? Exactly what a Preventable Crash Really Looks Like. You’re driving a semi. Three-lane highway. You're in the center lane. Left lane is ending. Right lane is completely empty. Convex mirror shows no one beside you on the right. Three cars are pacing you in the left lane… and they’re about to run out of road. So Why are you still in the center lane? You’re not boxed in. You’re not blind. And you’ve already seen the sign telling you the left lane ends. You could’ve merged right a half-mile ago and cruised on. Instead, you’re now stuck in the lane of most resistance. That car flying up on your left? It’s doing what 80% of cars do when the lane end, they punch it. They try to get ahead. Not smart. Not courteous. But absolutely predictable. And that’s the point. You’re the professional. They're not. You know how this goes. You should know exactly what to expect. Textbook behavior. So when that car forces a merge in front of your bumper with 20 feet left of asphalt, are they wrong? Yep. But when you don’t lift off the gas, don’t merge right, and don’t anticipate what’s clearly unfolding, that’s no longer just their problem. Now it’s yours. And it’s preventable. What happens next👇 ✅ You plow into the car. ✅ You get to sit roadside for 3 hours explaining it to law enforcement and doing paperwork. ✅ You spend another 3 months Data Q’ing it, defending it in court, or arguing it with claims adjusters. ✅ It’s on your CSA now. ✅ Your insurance premium goes up. ✅ The carrier eats the deductible. ✅ And you get labeled as someone who “could’ve avoided it but didn’t.” Being a truck driver isn’t just turning a wheel. It’s a chess match. It’s anticipating the next three moves. When you choose not to play defense, you’re the one who loses, even when you’re “not at fault.” Some stats to chew on👇 👉Lane change/merge crashes account for nearly 10% of all large truck crashes. 👉FMCSA's Large Truck Crash Causation Study consistently shows "decision error" and "recognition error" as top contributing factors in preventable crashes. 👉The average post-crash litigation process? 3–6 months minimum, and that’s before settlements, audits, or nuclear verdicts.

Rob Carpenter

16,777 次观看 • 6 个月前

I took this lesson a few days ago,one of the clearest breakdowns of how Jupiter Swap works. Let me walk you through it. So first,what even IS a Swap? Think of it like Spot Trading in traditional finance. You’re just trading one currency for another at the current market rate, except here it’s digital assets. USDC for SOL. Instant. On-chain. Simple enough. But here’s where it gets interesting…... The moment you go to swap, Jupiter doesn’t just grab the first price it sees,it aggregates liquidity from major sources. That's where Ultra V3 kicks in — think of it like an institutional trading desk firing up behind the scenes. It scans the ENTIRE market, aggregates liquidity from every major source, and routes your trade through the most efficient path possible. You’re not just getting A price for your trade. You’re getting THE best price. But it doesn’t stop there….. 🎯 Real-Time Slippage Estimation (RTSE) is running simultaneously — monitoring slippage live so your swap tolerance stays as tight as possible. No surprises. No overpaying. And on qualifying pairs? Jupiter covers the gas entirely. You just swap. That’s the Gasless feature, look for the icon when you’re executing. 📚 Two concepts you need to understand 💧 Liquidity —> How deep the market is. Deep liquidity means you can make large trades without moving the price against yourself. Jupiter taps the deepest pools on the network. 📉 Slippage —> The gap between what you were quoted and what you actually get. Volatile markets cause this. Ultra V3’s RTSE exists specifically to close that gap. ━━━━━━━━━━━━━━━ 🚀 Ready to swap? Here’s all you do ━━━━━━━━━━━━━━━ 1️⃣ Open the Trade tab → pick your Sell & Buy assets 2️⃣ Check the Execution Path — Jupiter shows you exactly how it’s routing your trade 3️⃣ Spot the Gasless icon if it applies 4️⃣ Hit Swap. Done. On-chain in seconds. And this is why the saying exists — If you want to swap smarter, Just Use Jupiter.

Sam || Jupiter Legion 😺😺

34,354 次观看 • 3 个月前

hey if you have a 3060, or any GPU with 8GB or more sitting in a drawer right now, that thing can run 9 billion parameters of intelligence autonomously. and you don't know it yet. 2 hours ago i posted that 9B hit a ceiling. 2,699 lines across 11 files. blank screen. said the limit for autonomous multifile coding on 9 billion parameters is real. then i audited every file. found 11 bugs. exact file, exact line, exact fix. duplicate variable declarations killing the script loader. a canvas reference never connected to the DOM. enemies with no movement logic. particle systems called on the class instead of the instance. fed that list as a single prompt to the same Qwen 3.5 9B on the same RTX 3060 through Hermes Agent. it fixed all 11. surgically. patch level edits across 4 files. no rewrites. no hallucinated changes. game boots. enemies spawn, move, collide. background renders. particles fire. and here's what nobody is talking about. this is a 9 billion parameter model running a full agentic framework. Hermes Agent with 31 tools. file operations, terminal, browser, code execution. not a single tool call failed. the agent chain never broke. most people think you need 70B+ for reliable tool use. this is 9B on 12 gigs doing it clean. the model didn't fail. my prompting strategy did. the ceiling is not the parameter count. the ceiling is how you prompt it. this is not done. bullets don't fire yet. boss fights need wiring. but the screen that was black 2 hours ago now has a full game rendering in real time. iterating right now. anyone with a GPU from the last 5 years should be paying attention to what is happening right now.

Sudo su

683,576 次观看 • 4 个月前

Exciting News Alert: Catalyst Joins opBNB Network! 🚀 Hold onto your hats, because Catalyst is back in action, stirring up the world of cross-chain liquidity! We're thrilled to unveil our latest expansion: Catalyst now supports the opBNB network and BNB Chain. This means smoother and more efficient transactions across all chains are now within reach through Catalyst. Let's dive in! 🌊 Catalyst Meets opBNB Our mission to drive interoperability takes another big step as Catalyst teams up with Binance to launch on its domains. The opBNB Testnet deployment will initially support cross-chain swaps with BNB Chain. But wait, there's more! In the coming weeks, more chain connections will be added. Connecting the BNB Chain ecosystem to Catalyst's network is where the magic begins. 🪄 Get ready for a blockchain match made in heaven! Catalyst's prowess in cross-chain liquidity meets opBNB's optimization of the BNB Chain ecosystem. Picture this: high-throughput applications on BNB Chain, supercharged by Catalyst's seamless cross-chain capabilities. It's not just a partnership; it's a gateway to unlocking BNB Chain's full potential! 🚀 opBNB is a Layer-2 superstar built to amplify BNB Chain's might. Powered by the OP Stack, opBNB boasts a block size of 100M, ensuring stable and pocket-friendly gas fees. Whether you're diving into decentralized exchanges, gaming, or everyday transactions, opBNB's got your back with exceptional performance. 🌟 One of opBNB's standout features is its seamless compatibility with the EVM. For developers already well-versed in the EVM world, this means a smooth transition to building and deploying applications on the opBNB network. It's all about making life easier for the crypto community! 🛠️ Catalyst's cross-chain AMM expertise perfectly aligns with opBNB's quest for optimized Layer-2 solutions. The result? Effortless, cost-effective, and high-throughput transactions that benefit users, developers, and the entire BNB Chain ecosystem. Talk about a win-win! 💡 opBNB-Specific Mission Awaits Ready to embark on a thrilling journey within the opBNB Testnet? Whether it's swapping, yield generation, or portfolio management that tickles your fancy, Catalyst on opBNB has got you covered. Get set to explore a world filled with endless possibilities! 🌐 We've crafted an opBNB-specific mission on Catalyst Missions. Completing this mission isn't just rewarding – it also opens doors to the Catalyst community, granting you points and on-chain credentials for a deeper connection. Time to dive in and level up! 🚀 🔗 The integration of Catalyst: Lynx Testnet with the opBNB network is a game-changer. It's a leap toward redefining cross-chain liquidity solutions. Ready to explore endless cross-chain potential? Undertake the opBNB-specific mission and be part of crafting the future of decentralized finance with Catalyst. 🌌

Catalyst

72,222 次观看 • 2 年前

We all remember. We all remember when blockchain was pitched as the next big thing. And today, we feel like we’ve been waiting and waiting. Until recently, Blockchain was too expensive, slow under load, and hard to integrate for most businesses. So enterprises ignored it. It didn’t solve their business problems. That’s changed. Why blockchain, why now? Businesses don’t care about the tech, they care about cost and performance. They’d ask a simple question “Does it save or make me more money?” For a long time, blockchain didn’t clearly do this. That’s no longer true. Blockchain is proving real business cases, especially on Avalanche. On Avalanche, transactions cost fractions of a cent. settle in about a second. And instead of forcing everything onto one shared chain, businesses can launch their own Avalanche L1s with their own rules. To understand this let’s identify the problem and then provide the solution in a way that's easy to understand. Where Businesses Lose Money Most large industries lose money due to operational inefficiencies. Data lives in different systems. Teams spend hours reconciling records that should already match. Intermediaries sit in the middle, taking fees to coordinate all of it. Individually, each step looks small. Together, they create real cost: > Labor spent on manual processes > Capital locked up during settlement delays > Fees paid to intermediaries > Risk introduced by time gaps and mismatched data This is where businesses actually lose money. Not in big, obvious ways. In constant, compounding friction. Take Private Credit, for Example Private credit is loans held outside of traditional banks. It’s a multi-trillion dollar market, and much of it still runs on spreadsheets and weekly reconciliation processes. Loan data is tracked across systems. Teams manually process requests. Funds move on traditional rails, often on delayed cycles. It doesn’t have to be this way Entire teams exist just to keep systems in sync. Now move that system onto Avalanche. Loan data updates in real time. Transactions settle in about a second. Every participant sees the same state instantly. Reconciliation isn’t a separate step because the system itself is the source of truth. The impact is straightforward. > Reduced manual work > Shortened settlement cycles > Fewer layers of coordination between parties Avalanche is Infrastructure for Real Businesses Avalanche is designed to match how businesses actually operate. Instead of sharing a single chain, they can launch their own Avalanche L1s with custom rules, built-in compliance, and predictable performance. They control the system. Avalanche’s Moment For the longest time, blockchain naysayers said this could all be done better with spreadsheets or existing systems. They were right. That’s what the technology allowed. Now it’s changed. Avalanche can replace many of those systems with real-time settlement, shared data, and automated execution. For the first time, the economics work. Built for business. 🔺

Avalanche🔺

13,068 次观看 • 4 个月前

I just built a Claude skill that writes 20 Meta ad hooks in 60 seconds 🤯 Give it your product, your audience, and your best-performing angles → it writes hooks across 10 proven frameworks, each one targeted at a specific customer pain point. All inside Claude Cowork. Perfect for DTC brands and agencies who are still writing hooks from scratch every time they need new creative — staring at a blank doc, scrolling competitors for inspiration, and recycling the same 3 angles because you ran out of ideas two weeks ago. If you're launching Meta Ads and your hook writing process looks like this — open a Google Doc, try to remember what worked last time, write 5 hooks that all sound the same, run them, 4 flop, go back to the doc, repeat ... This skill replaces the entire process: → You give it your product name, key benefits, and target customer → It writes hooks across 10 frameworks: problem-solution, curiosity gap, bold claim, social proof, before/after, us vs them, question, contrarian, urgency, and storytelling → Each hook targets a specific pain point — not generic "Shop now" copy → Generates 2 variations per framework so you have options to test → Outputs everything organized by framework with notes on when to use each one → Takes about 60 seconds No blank page. No recycling the same 3 angles. No writing 5 hooks that all sound like the same ad. What you get: → 20 hooks across 10 proven frameworks, ready to drop into your ads → Each hook written for a specific customer pain point, not a generic audience → Framework labels so you know which hook type you're testing → A reusable skill — run it for every new product, every new campaign, every new angle sprint → Works from a product brief — no API connection, no CSV export, no setup beyond installing the skill One product brief. 20 hooks. 60 seconds. I put together the full skill file plus a playbook showing how to install it, customize the frameworks, and run your first hook sprint. Want it for free? > Like this post > Comment "HOOKS" And I'll send it over (must be following so I can DM)

Mike Futia

16,997 次观看 • 4 个月前

So Cluely is getting 400k+ views with AI TikTok slideshows. And I just automated the entire system 🤯 AI selfie hook → listicle slides → soft CTA on the last slide. Rinse. Repeat. Scale. And now my n8n + Airtable system runs it on complete autopilot. Perfect for e-comm brands & SaaS companies who want to test this format without the manual grind. Here's why this format is blowing up: → AI-generated "selfie" as the hook image → 5-8 slides with tips, hacks, or advice → Text overlays generated automatically → Promotes product on the final slide → Music added automatically on publish 362k views. 462k views. 492k views. Same playbook, multiple accounts, fully automated. Here's what my system does: → Define your niche, tone, and content style in Airtable → AI generates slide text and hooks automatically → Nano Banana creates every image with text overlays → Preview and approve before anything goes live → Blotato publishes to TikTok on your schedule—with music No manual Canva work. No writing slides one by one. No posting by hand. What you control in Airtable: * Niche and content direction * Hook style and tone * Image aesthetic and reference images * Posting schedule (days + times) * Approval before publish Set it up once. Let it run daily. I recorded a full step-by-step tutorial showing exactly how to build this system. Want access for free? > Like this post > Comment "SLIDES" And I'll send it over (must be following so I can DM)

Mike Futia

181,371 次观看 • 6 个月前

Claude Code + Google Stitch 2.0 is f*cking cracked 🤯 Google just dropped a free AI design agent that solves Claude Code's biggest weakness: frontend design. One screenshot of a high-converting landing page → a production-ready site for your brand in minutes. All inside Google Stitch + Claude Code. Perfect for DTC brands and agencies who are building advertorial pages and product launch pages for Meta but burning days on designer back-and-forth. If you're running Meta ads and need 5-10 different landing pages testing different hooks, angles, and offers — each one targeting a different audience and pain point — you know the bottleneck isn't the ads. It's the pages. Briefing designers, waiting for revisions, paying $2-5K per page. Stitch eliminates the design bottleneck: → Find a high-converting advertorial that's scaling on Meta → Screenshot it and drop it into Stitch (powered by Gemini 3.1) → Stitch redesigns it with your brand's colors, fonts, and imagery using Nano Banana 2 → Edit sections visually — headlines, CTAs, layouts — without touching code → Export the code and paste it into Claude Code → Claude builds the full production site and deploys to Vercel or Netlify in 60 seconds No designer. No $3K per landing page. No Claude Code frontend that looks like a template from 2019. What you get: → Designer-quality landing pages and advertorials built in minutes, not weeks → Visual editing so you actually see the design before you code it → Nano Banana 2 generating on-brand product imagery and hero shots → A repeatable system — new angle, new page, same pipeline Built 100% with Google Stitch 2.0 + Claude Code. I put together a full playbook showing the exact workflow: how to find winning pages, redesign them in Stitch, and deploy with Claude Code. Want it for free? > Like this post > Comment "STITCH" And I'll send it over (must be following so I can DM)

Mike Futia

125,786 次观看 • 4 个月前

how to build Polymarket "always buy NO" bot +$200-400/day PnL if you pick the right markets​ everyone overcomplicates this. the "NO-maxi bot" strategy is literally: buy NO on outcomes that are structurally overpriced, wait for reality to catch up.​ the part that matters isn't "genius insight", it's picking the right markets plus execution.​ where the +$200-400/day comes from it's not betting "no" everywhere. it's selectively loading up NO on multi-outcome ladders (FDV ranges, price targets, user metrics) where the top brackets are CT dreams priced way too rich.​ if you're consistently capturing 5-15% edge per cycle across 20-30 outcomes and actually getting fills, +$200-400/day is just position sizing plus discipline.​ first, the edge (why this isn't a meme) polytrackhq research shows $40M+ arb profits from 86M trades came from exploiting pricing errors. "NO-maxi" is the retail version of the same logic on overhyped brackets.​ so the goal is simple: find multi-outcome markets with fat tails, skip the base case, load NO on the fantasy brackets, let time and reality work.​ what you actually need (minimal) Python plus official py-clob-client (standard for Polymarket orders). Telegram bot for alerts (don't stare at screen). VPS so it runs 24/7 (don't run from laptop). where people mess up: they try "always NO" on everything and get wrecked by the one outcome that hits. pick markets with obvious "dream vs reality" skew.​ the bot loop (in plain English) Pull multi-outcome markets (FDV ladders, price targets). For each outcome: check if YES price exceeds realistic probability.​ Buy NO on 3-5 fattest tails (skip base case).​ Log market, outcomes, expected edge, fills. Repeat on new ladders. that's it. no AI, no news scraping, no predictions. just "overhype vs fundamentals".​ where to get real references (not vibes) PolyTrackHQ arb guide. exact logic for multi-outcome pricing errors.​ py-clob-client PyPI. official client (no wrappers). Polymarket Agents GitHub. framework for outcome looping plus orders.​ r/arbitragebetting Reddit. discussions on non-atomic multi-order risk.​ two real-world gotchas (that decide profit vs loss) Outcome blowout: one crazy top bracket hitting wipes the basket. always skip the most likely 1-2 outcomes.​ Resolution risk: ambiguous wording equals instant edge killer. read rules before loading up. how to make it feel "pro" fast Run only on high-volume ladders (FDV, price targets). fills matter more than theory.​ Start with $50-100 per outcome until logs prove fills work, then scale.​ Use official libs only. treat GitHub bots as hostile until audited.

0xCryptoGirl

22,686 次观看 • 6 个月前