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The Last Dancer 💃

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Joined January 2025
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ZeNoX retweeted
🚨 WHAT IF TOKYO'S NEON NIGHTLIFE MET THE PERFECT PIZZA COMMERCIAL? 🍕🔥 Rain-soaked streets, electric neon lights, sizzling mozzarella, crispy pepperoni, and cinematic transitions ........... all brought together with @VivixLabs_HQ W1. Inspired by Tokyo's iconic night-city atmosphere, this concept blends Japanese street aesthetics with mouthwatering premium food advertising. Not just a pizza ad. A whole cinematic experience. 🎬 #vivixcreators #vivixai #vivixw1challenge
Our redesigned website is live, and the Vivix W1 Creator Challenge is open! 🎁 Earn 1,000 credits just for posting, and up to 6,000 credits + $300 in gift cards if it performs well. Publish by Nov 5 to enter. Create here: platform.vivix.ai/ How to join + rewards below ↓
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ZeNoX retweeted
Made a luxury beauty ad without a camera. 🌸 Rainy Tokyo, cherry blossoms, rose-gold LUMORA serum. I used Vivix W1 for this 15s film, focusing on believable liquid motion, consistent product details and real skin texture. @VivixLabs_HQ #vivixw1challenge #vivixcreators #vivixai
Our redesigned website is live, and the Vivix W1 Creator Challenge is open! 🎁 Earn 1,000 credits just for posting, and up to 6,000 credits + $300 in gift cards if it performs well. Publish by Nov 5 to enter. Create here: platform.vivix.ai/ How to join + rewards below ↓
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Built a robot to protect breakfast. Forgot to account for the cat. 🐱🥞🤖 A little 15-second comedy I created with @VivixLabs_HQ W1 — one pancake-loving cat, an overly serious kitchen robot, and a ridiculous disguise that somehow works. The robot never stood a chance. 😂 @VivixLabs_HQ #vivixw1challenge #vivixcreators #vivixai
Our redesigned website is live, and the Vivix W1 Creator Challenge is open! 🎁 Earn 1,000 credits just for posting, and up to 6,000 credits + $300 in gift cards if it performs well. Publish by Nov 5 to enter. Create here: platform.vivix.ai/ How to join + rewards below ↓
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CAT VS. ROBOT — THE BREAKFAST HEIST Create a 15-second ultra-realistic cinematic comedy short film about a mischievous orange cat trying to steal pancakes from a friendly kitchen robot. FORMAT: 16:9 horizontal landscape, 1920×1080, 24fps, premium cinematic short-film quality. CHARACTERS: A fluffy orange tabby cat with green eyes, white paws and naturally expressive feline behavior. A small white kitchen assistant robot with a glossy black LED face, glowing blue eyes and a white chef's hat. Maintain identical appearances throughout. LOCATION: A beautiful modern home kitchen on a sunny morning. Warm natural window light, wooden countertops, stainless-steel appliances, indoor plants and a delicious stack of pancakes topped with strawberries, blueberries and maple syrup. 0–2.5 SECONDS — THE TEMPTATION Open with a cinematic close-up of a fluffy orange cat staring intensely at a delicious stack of pancakes on the kitchen counter. Beside the pancakes stands a cheerful white kitchen robot wearing a chef's hat. The robot proudly presents its breakfast creation. The cat slowly licks its lips. Use playful close-ups and subtle comedic anticipation. 2.5–5 SECONDS — THE FIRST ATTEMPT The cat slowly stretches one paw toward the pancakes. Just before touching them, the robot notices. Its blue LED eyes suddenly display a bright red exclamation mark. The cat freezes with its paw suspended in mid-air. Use a quick comedic zoom toward both characters. 5–7.5 SECONDS — SECURITY ACTIVATED The robot immediately places a transparent glass food dome over the pancakes. Its LED face changes to two serious, narrowed blue eyes. The cat looks shocked and confused. The robot confidently guards its protected breakfast. Use crisp close-ups and a dramatic but funny camera movement. 7.5–10 SECONDS — THE CLEVER DISGUISE Quick match cut. The cat reappears wearing a tiny white chef's hat and red neckerchief borrowed from nearby kitchen accessories. The robot looks at the disguised cat. Its LED eyes turn into happy crescents. The robot mistakenly believes the cat is another kitchen chef. The cat gives the robot an innocent look while carefully approaching the covered pancakes. 10–12.5 SECONDS — THE PERFECT HEIST The robot turns away to inspect a digital kitchen tablet. The cat quickly nudges the glass dome aside and reaches the pancakes. Show a fast, cinematic close-up of its paw, the glass dome and the tempting breakfast. The robot remains completely unaware. Use precise physical movements, comedic timing and a smooth camera push-in. 12.5–15 SECONDS — MISSION COMPLETE The cat happily eats a piece of pancake from the plate. Its eyes close with pure satisfaction. In the background, the robot turns around and discovers the stolen breakfast. Its LED face changes to exaggerated sad blue eyes with digital tears. The cat remains completely unbothered, enjoying its pancake. End on the hilarious contrast between the delighted cat and devastated robot. VISUAL STYLE: High-end photorealistic family comedy, warm morning sunlight, realistic animal cinematography, premium miniature robot design, rich pancake textures, natural fur movement, cinematic depth of field, playful camera pushes, fast reaction cuts and expressive visual storytelling. MUSIC AND SOUND EFFECTS: Original lighthearted jazzy instrumental music with playful pizzicato strings and gentle percussion. Natural cat paw sounds, quiet mechanical robot movements, digital reaction beeps, glass dome clink, subtle kitchen sounds, a funny alarm chirp and a final descending sad robot beep. No spoken dialogue, no AI voiceover, no recognizable copyrighted music. QUALITY: Consistent cat and robot appearance, realistic feline anatomy, physically believable paw movements, consistent pancake arrangement, realistic glass reflections, expressive LED reactions, clear character interaction and professional comedic editing. NEGATIVE PROMPT: Cartoon rendering, anime, talking animals, human-like cat hands, extra limbs, distorted paws, inconsistent fur, duplicate cats, duplicate robots, changing robot design, floating objects, impossible food movement, artificial pancake textures, unreadable text, random logos, subtitles, watermarks, excessive motion blur, harsh lighting, low resolution, vertical framing. FINAL OUTPUT: Exactly 15 seconds, 16:9 landscape, 1920×1080, 24fps. A complete funny short film with a clear setup, clever attempted heist and memorable visual punchline.
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Made a luxury beauty ad without a camera. 🌸 Rainy Tokyo, cherry blossoms, rose-gold LUMORA serum. I used Vivix W1 for this 15s film, focusing on believable liquid motion, consistent product details and real skin texture. @VivixLabs_HQ #vivixw1challenge #vivixcreators #vivixai
Our redesigned website is live, and the Vivix W1 Creator Challenge is open! 🎁 Earn 1,000 credits just for posting, and up to 6,000 credits + $300 in gift cards if it performs well. Publish by Nov 5 to enter. Create here: platform.vivix.ai/ How to join + rewards below ↓
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my well detailed prompt here : # LUMORA — RADIANT SKIN. REAL YOU. ## COMPLETE VIVIX W1 COMMERCIAL GENERATION PROMPT Create a 15-second ultra-realistic premium skincare commercial for LUMORA, a fictional luxury women's skincare brand. The featured product is a premium rose-pink facial essence serum. Use the uploaded six-scene storyboard as the visual reference. Follow the exact scene sequence, composition and visual storytelling. FORMAT: 16:9 landscape, 1920×1080, 24fps, premium cinematic commercial quality. MODEL: An elegant East Asian woman in her late 20s with naturally glowing skin, delicate facial features and dark brown hair styled in a loose low bun. Wearing a sophisticated ivory silk outfit with subtle gold earrings. Natural expressions, realistic skin texture and graceful movements. Maintain the same model and appearance throughout the video. PRODUCT: LUMORA luxury facial essence in a transparent blush-pink glass bottle with a refined rose-gold metallic cap. Minimal elegant branding, premium packaging and realistic glass reflections. Maintain identical bottle design throughout every scene. LOCATION: A luxurious modern Tokyo setting during cherry blossom season. Rain-soaked city streets, soft pink evening skies, blurred Tokyo Tower lights, elegant interiors and delicate cherry blossom details. ### 0–2.5 SECONDS: THE BEAUTY OF THE MOMENT Open with a cinematic tracking shot of the woman standing beside a rain-covered glass window overlooking Tokyo at dusk. Soft pink and golden city lights reflect across the glass. She gently turns toward the camera, revealing naturally glowing skin. Use an elegant camera push-in, shallow depth of field and soft natural lighting. Create an immediate premium beauty-campaign atmosphere. ### 2.5–5 SECONDS: THE PRODUCT REVEAL Cut to an extreme close-up of the LUMORA facial essence bottle. The woman's hand gently lifts the bottle. Warm champagne-colored highlights travel across the rose-gold cap and transparent pink glass. The camera performs a smooth cinematic orbit around the product. Show realistic glass reflections, elegant packaging details and premium cosmetic photography. ### 5–7.5 SECONDS: THE ESSENCE OF BEAUTY Create a spectacular macro product shot. A transparent drop of facial essence slowly falls from a glass pipette onto a glossy reflective surface. The liquid forms beautiful concentric ripples. Delicate pink flower petals float around the liquid. Use high-speed macro cinematography, realistic liquid physics, soft highlights and exquisite texture details. The scene should feel elegant, luxurious and visually satisfying. ### 7.5–10 SECONDS: THE BEAUTY RITUAL Return to the same woman in a softly illuminated luxury interior. She gently applies a small amount of facial essence to her cheek using her fingertips. Capture an intimate close-up of the natural application. The camera moves slowly across her face, revealing realistic skin texture, subtle highlights and a healthy natural glow. Her expression is calm and confident. Avoid artificial skin smoothing or exaggerated beauty effects. ### 10–12.5 SECONDS: THE PRODUCT HERO Transition to a premium product composition. The LUMORA essence bottle stands upright on a glossy reflective surface. Delicate pink cherry blossoms surround the bottle. A softly blurred Tokyo skyline glows in the background during sunset. The camera makes a slow, controlled orbit around the product. Beautiful rose-gold highlights illuminate the glass bottle. ### 12.5–15 SECONDS: THE FINAL REVEAL Finish with a sophisticated beauty portrait of the same woman holding the LUMORA bottle beside her face. She looks confidently toward the camera with a subtle natural smile. The camera slowly pushes toward her face and the product. Soft pink and golden lighting creates a luxurious final composition. End with a clean, stable product-and-model hero shot suitable for adding a brand logo later. ### VISUAL STYLE High-end international luxury skincare campaign, premium Korean beauty editorial aesthetic, sophisticated Japanese urban atmosphere, soft blush pink, champagne gold, warm ivory and subtle rose tones. Use: - 85mm portrait cinematography. - 100mm extreme macro product photography. - Shallow depth of field. - Smooth camera tracking. - Elegant orbiting product shots. - Realistic liquid physics. - Soft cinematic lighting. - Natural skin texture. - Premium glass reflections. - Subtle film grain. - Refined commercial color grading. The overall aesthetic should feel elegant, feminine, sophisticated and expensive. ### QUALITY REQUIREMENTS Photorealistic human appearance, consistent female model, anatomically correct hands, realistic facial features, natural skin texture, physically believable liquid movement, consistent product packaging, clean transitions and professional beauty-commercial cinematography. ### NEGATIVE PROMPT Cartoon, anime, artificial CGI appearance, plastic skin, excessive skin smoothing, distorted facial features, deformed hands, extra fingers, inconsistent model, changing hairstyle, duplicate products, changing bottle shape, distorted packaging, unreadable branding, unrealistic liquid physics, floating petals without physical cause, excessive pink saturation, harsh lighting, flickering, excessive motion blur, random objects, subtitles, watermarks, unwanted logos, low resolution, vertical framing. FINAL OUTPUT: One complete 15-second, 16:9 horizontal cinematic luxury skincare advertisement at 1920×1080 and 24fps. Maintain visual consistency, elegant storytelling, premium product photography and natural human expressions throughout.
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🚨 WHAT IF TOKYO'S NEON NIGHTLIFE MET THE PERFECT PIZZA COMMERCIAL? 🍕🔥 Rain-soaked streets, electric neon lights, sizzling mozzarella, crispy pepperoni, and cinematic transitions ........... all brought together with @VivixLabs_HQ W1. Inspired by Tokyo's iconic night-city atmosphere, this concept blends Japanese street aesthetics with mouthwatering premium food advertising. Not just a pizza ad. A whole cinematic experience. 🎬 #vivixcreators #vivixai #vivixw1challenge
Our redesigned website is live, and the Vivix W1 Creator Challenge is open! 🎁 Earn 1,000 credits just for posting, and up to 6,000 credits + $300 in gift cards if it performs well. Publish by Nov 5 to enter. Create here: platform.vivix.ai/ How to join + rewards below ↓
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Most AI agent experiments either over-delegate control or just spit out suggestions. What stands out about @meetmotes is the deliberate split: the NFT is identity, the smart account is the enforcer, and the AI only proposes within signed boundaries. That architecture is more interesting than the “NFT + AI” branding. By binding one agent to one dedicated account on Robinhood Chain, they’re forcing ownership, custody, and execution to stay separated. You fund it, define the mandate and risk limits in plain language, and the account is supposed to refuse anything outside those rules. In theory, this reduces the usual black-box risk of fully autonomous trading agents. The 20k fixed supply framing also shifts the NFT from pure collectible to a scarce access key for an agent slot. Combined with planned DeFi, tokenized stock activity, and Polymarket research, it’s aiming at something closer to programmable personal finance infrastructure than another generative collection. Caveats remain material. Agent quality and mandate design will matter more than the architecture — poor objectives still produce poor outcomes even with on-chain guardrails. The 1% activity fee, incomplete tokenomics details on $MOTES, and the off-chain intelligence layer all introduce dependencies. Regulatory surface on prediction markets is non-trivial. Still, the core bet is cleaner than most agent narratives right now: constrain the AI, make the constraints enforceable on-chain, and turn the NFT into ownership of that constrained agent rather than just art. Whether it executes at that standard is the actual test.
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ZeNoX retweeted
Rank 1 on the 2Factor leaderboard takes 18.2% of the prize pool. Rank 10 takes 1.8%. The top 10 split 1 BTC, paid in cbBTC, on a fixed curve between those two numbers. First place pays about ten times tenth, so a spot on the board is really ten different prizes. I joined the Points Program. Marks come from verified actions only: social activity, education and referrals. Buying, depositing or holding earns nothing, and Marks have no cash value. Season 1 ends when 2Factor launches, and the leaderboard freezes then. @2factorfinance builds Kelly-optimized leverage for buy-and-hold investors, live on Base and working with Coinbase's tokenized stocks ecosystem. It sizes leverage per asset, about 1.33x for cbBTC, instead of stamping one multiple on everything. Nothing here is guaranteed. The board moves only when someone completes verified actions. My link is a referral, so I may receive Marks if you join through it: points.2factor.finance/r/0nj… With first paying about ten times tenth, which track would you spend your first hour on: social, education or referrals?
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ZeNoX retweeted
In the textbook Kelly model, the best leverage multiple scales with one divided by volatility squared. Hold drift fixed and a small change in volatility moves the target a lot. Start from the 1.33x that 2Factor lists for cbBTC at about 60% volatility. At 50% the same formula gives about 1.9x. At 70%, about 1.0x. That is the textbook formula, not 2Factor's published model. It still shows why a single 2x or 3x label cannot fit every asset. @2FactorFinance's public beta is live on Base, bringing Kelly-optimized leverage to buy-and-hold investors, built on Coinbase's tokenized stocks. Bitcoin comes first, then stocks. A target built from volatility is only as current as the volatility behind it. A buy-and-hold holder will want to know when it updates. Season One Marks come from verified actions only, never from buying, depositing or holding, and they have no cash value. The top 10 split 1 BTC, paid in cbBTC, when the leaderboard freezes at launch. If you want to follow along, my referral link: points.2factor.finance/r/0nj… When the volatility a leverage target was sized for changes, would you want the multiple to hold or reset?
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ZeNoX retweeted
Take a position that rises 10%, then falls 10%. It ends 1% down. Reset it to 2x at each step and it ends 4% down. Twice the exposure, four times the loss. That gap is arithmetic, not bad luck. It is volatility drag, and part of why 2x and 3x BTC products decay over long horizons. @2FactorFinance is designed around that problem. It splits an asset’s volatility into two perpetual tranches: Senior: built for downside protection. It collects a premium. Junior: carries the leverage. No liquidation risk, no external hedging counterparty. It pays the premium. The workable multiple depends on the asset’s drift and volatility. BTC volatility, near 60%, closes the band early, so the junior targets about 1.33x. In the research, the S&P 500 lands near 2.1x and gold near 2.35x. Season One’s points are called Marks. They come from verified actions only. Buying, depositing and holding earn nothing. The season ends at launch and the leaderboard freezes. The top ten then split 1 BTC, paid in cbBTC, from 18.2% at rank 1 down to 1.8% at rank 10. A place on that board is a chance at a share, nothing more. Marks have no cash value, cannot be transferred and are not a claim on any token or asset. Join Season One through my referral link: points.2factor.finance/r/0nj… Where does a fixed 2x still make sense: short trades only, or holds too? Reply with your case.
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Tokenization solved distribution. It did not solve structure. A tokenized stock inherited market hours. It did not inherit market makers, or any capital structure around the asset. Volatility segmentation is the missing layer, and @2FactorFinance is building it. It splits an asset’s volatility into two perpetual tranches. Senior: built for downside protection. It collects a premium. Junior: carries the leverage. No liquidation risk, no external hedging counterparty. It pays the premium. Conventional leverage is priced against the cost of shorts. Here the price is that premium, which is structurally cheaper and more predictable. Long-horizon leverage fights two drags: volatility drag, which is arithmetic, and financing drag, the cost of the capital behind the exposure. Where drift outruns both, there is a band where compounding works for the holder. It is not Bitcoin-specific. BTC is the hardest case, and it is live on testnet. Season One’s points are called Marks. They come from verified actions only. Buying, depositing and holding earn nothing. The season ends at launch and the leaderboard freezes. The top ten then split 1 BTC, paid in cbBTC, from 18.2% at rank 1 down to 1.8% at rank 10. A place on that board is a chance, not a payout. Marks have no cash value, cannot be transferred and are not a claim on any token or asset. Tokenized stocks arrived without market makers. What other piece of market structure should have come with them? Reply with one. Join Season One through my referral link: points.2factor.finance/r/5wv…
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Leverage fails in one of two ways. It gets liquidated, or it decays. Liquidation is fast: a price move ends the position. Decay is slow: volatility and financing wear it down even when the price goes nowhere. Conventional leverage tends to pick one, which is why it stays a short-term tool. @2factorfinance’s public beta is now live on Base: Kelly-optimized leverage for buy-and-hold investors, working with Coinbase’s tokenized stocks ecosystem. Bitcoin comes first, then stocks. It answers each failure separately. The leveraged junior side has no liquidation risk. For volatility drag, each asset gets its own multiple, about 1.33x for cbBTC. For financing drag, leverage is priced against the cost of stable capital, not the cost of shorts. I joined the Season 1 Points Program. Marks come from verified actions only, never from buying, depositing or holding, and they have no cash value. The top 10 on the leaderboard split 1 BTC, paid in cbBTC, when it freezes at launch. My link is a referral, so I may receive Marks if you join through it: points.2factor.finance/r/5wv… Can you think of a third way leverage fails that I missed?
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ZeNoX retweeted
Moving a Bitcoin position from 1.33x to 3x raises exposure about 2.3 times. It raises volatility drag about 5 times. That is the standard model: exposure scales with the multiple, and the cost of volatility scales with its square. It is why 2x and 3x BTC products decay over long horizons, and why @2factorfinance targets about 1.33x for cbBTC. Drag also scales with volatility squared. At the same multiple, stocks near 16 to 19 percent volatility carry roughly 10 to 14 times less of it than Bitcoin near 60 percent. That is the case for sizing each asset separately, and it is what Kelly-optimized leverage does. 2Factor’s public beta is now live on Base: Kelly-optimized leverage for buy-and-hold investors, working with Coinbase’s tokenized stocks ecosystem. Bitcoin comes first, then stocks. I joined the Season 1 Points Program. Marks come from verified actions only, never from buying, depositing or holding, and they have no cash value. The top 10 on the leaderboard split 1 BTC, paid in cbBTC, when it freezes at launch. My link is a referral, so I may receive Marks if you join through it: points.2factor.finance/r/0nj… Which asset would you run this arithmetic on first: Bitcoin, a stock, or something else?
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ZeNoX retweeted
If you’ve used DeFi, you’ve already trusted an oracle. You just didn’t see it. A lending position rests on a price. The contract didn’t find that price. Somebody outside told it. A price is a number. The harder questions have no number: was the job done properly, is this booking refundable. Someone outside has to read the page and call it. That’s where decentralization stops. @GenLayer’s Intelligent Contracts can call the live web and a language model themselves. One validator proposes a verdict. The others run it with their own models and check they agree. If they don’t, a new leader tries again. Anyone can appeal. Agreement isn’t proof the page told the truth. But the answer no longer rests on one reporter. What’s one thing you’d want a contract to check that no price feed could?
Smart contracts need someone outside to tell them what happened. That's where decentralization ends. Intelligent Contracts go and check for themselves.
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Anthony Ray Hinton spent nearly 30 years on death row. The only evidence was ballistics. The bullets never matched his gun. The line item that stopped me: his lawyer wrongly believed he had only 1,000 dollars to hire an expert. I can’t know what a bigger budget would have changed. He walked free in April 2015, after new tests showed the bullets did not come from his gun. The bullets were there the whole time. Getting them properly examined was the part with a price tag. Add AI agents and millions of deals, with disputes that turn on evidence. When reviewing it is expensive, the outcome goes to whoever can pay for the review. @GenLayer is built for that gap. Many independent AI validators review the evidence and reach a verdict together, in minutes, at a fraction of the cost of a court. What have you had to take on trust because checking cost too much? #JusticeNeedsAnUpgrade
Slow. Expensive. Wrong. It's been this way for centuries. It doesn't have to be. #JusticeNeedsAnUpgrade
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Every wallet design is a trade. The useful question is what each one asks you to trust. Tangem’s seedless setup asks for three things. The private key is generated on the chip inside the card, so there is no seed phrase to leak. Backup is a second or third card, not paper. Firmware is fixed at the factory, so no malicious update is possible. It also can’t be patched, and that deserves to be said out loud. The card attacks published so far need physical possession. The laser one this year needed the card cut open and a lab worth about $250,000. No publicly documented case of funds stolen through a compromised Tangem card. Not a guarantee. A threat model I can plan around. 10% off with code VATAN: tangem.com/de/pricing?promoc… Thanks to @__KimMinJae for the pinned post. Firmware that can never be updated, or firmware that can. Which risk would you rather live with?
Two hardware wallet stories shook self-custody in 2026. What happened, and why I’m bullish on @Tangem 👇 🧊 July: Coldcard A firmware bug had been weakening seed generation for years. Attackers recomputed the keys offline. 1,700+ BTC stolen from thousands of addresses, and nobody had to touch a single device. 📦 October: Ledger Ledger is investigating wallet drains among people who bought from one authorized reseller in Southeast Asia. It asked that reseller to pause sales. The cause is still unclear and no tampering has been confirmed. No victory lap here. People lost real money. Both stories point at the same two spots: how your key is born, and where your device comes from. Why I’m bullish on @Tangem: ▸ Seedless setup: the key is generated on the EAL6+ chip inside the card. No seed phrase to write down, photograph or leak. ▸ Firmware is fixed at the factory. No update channel for anyone to hijack. ▸ Backup is a second or third card, not a sheet of paper. ▸ Audits by Kudelski Security (2018) and Riscure (2023). ▸ I know of no documented case of funds stolen through a hacked Tangem card. The honest part: no wallet is flawless. Ledger’s own research team has shown a laser attack on Tangem cards. It needs the physical card and a lab worth around $250k, and fixed firmware also means no patch. So my rules stay boring: Official shop only Backup cards stored apart Card missing? Move the funds with the backup Boring is bullish. What’s your one non-negotiable?
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Some points seasons end on a date. Season 1 of the 2Factor Points Program ends when 2Factor Finance launches. At that moment the leaderboard freezes, and the top 10 split 1 BTC, paid in cbBTC. I joined the Points Program. Marks come from verified actions only, in three tracks: social activity, education and referrals. I read the tracks as three questions: do you understand it, can you explain it, and will anyone follow your link? None of it can be bought. Buying, depositing or holding earns nothing, and Marks have no cash value. The part worth understanding first is what @2factorfinance builds: Kelly-optimized leverage for buy-and-hold investors, live on Base and working with Coinbase's tokenized stocks ecosystem. Instead of one multiple for every asset, it sizes leverage per asset, about 1.33x for cbBTC. Nothing here is guaranteed. Only the top 10 at the freeze split the pool. My link is a referral, so I may receive Marks if you join through it: points.2factor.finance/r/5wv… When a season ends on a launch, how would you pace the work: steady from the start, or in bursts?
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#空投 第21期 空投 #开始 任务:#猫头鹰 YZiLabs(原币安实验室)孵化项目,预祝㊗️本月即将上线 Meme 多链交易业务!➕自己地址 (一键三连➕关注)常规操作哦!
#金蝶圣甲 地推布道 #币安无私钥钱包 购买 金蝶圣甲 为链上带来不一样的Hood! 目前我认为是地推社区里面最有韧性的一个社区,值得关注! 0x4f0c550bfe484f957d5c7dd26f9a630a92a17777 @cz_binance @heyibinance @webhogwatrs @flap_eco @SKL_Flap 是时候能给真正的建设者颁发一次奖励了!BSC也需要更多的信仰建设者!
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