Good conversations, better memories.

BUDDYBUILDER retweeted
Following back the first 100 followers today 👀🔥
131
8
176
694
BUDDYBUILDER retweeted
Most projects pick one chain and call it a strategy. Here's why we didn't. Glunity supports five chains from launch, Ethereum, Solana, BNB Chain, Base, and Arbitrum. Not because more chains sounds impressive, but because limiting the platform to one chain would limit which users could ever use it. $GLUN, the token itself, launches on BNB Chain specifically. That's a separate decision from platform chain support, the app works across all five chains regardless of which one the token lives on. Here's the distinction that matters. Glunity doesn't run its own blockchain or consensus mechanism. We're chain agnostic by design, connecting to existing networks through standardized APIs, SDKs, and indexing infrastructure. Every security guarantee of the underlying chain stays intact. Five is where we start, not where we stop. Security, adoption, developer activity, and user demand, that's the bar every chain gets measured against, at launch and every time after. As ecosystems grow and new networks meet that bar, they get added. This isn't a fixed list, it's a floor we build on. This is also why our market sizing isn't based on one chain's user base. It's built bottom up from the combined active wallet count across all five, roughly 150 to 200 million wallets today, a number that only grows as the chain list does. One platform. Five chains today. No new consensus layer added on top. $GLUN is the token. Web3 without switching apps. That's GLUNITY.
218
9
258
2,897
BUDDYBUILDER retweeted
Anyone can say their contract is safe. Here's what makes ours actually checkable. The GLUN smart contract is fixed and immutable. 1,000,000,000 tokens minted once at deployment, nothing more can ever be minted after that. Ownership has been renounced, permanently set to address zero. No admin key. No privileged wallet that can pause, freeze, or override anything. No backdoors. No taxes, no fees, no blacklists, no transfer limits, no upgrade logic hiding anywhere in the code. What you see deployed is what runs forever. Self burn only. Users can burn their own tokens, nobody can burn tokens on someone else's behalf, no delegated burn function exists. Right now, the contract has already been run through SolidityScan, scoring 93 out of 100, with no critical or high risk issues detected. That's an automated analysis, and it's live, you can verify it yourself on BscScan today. Separately, a full independent audit performed by a named third party firm is committed and scheduled to complete before TGE, with the full report published publicly in advance. That one hasn't happened yet, and we're not going to imply it has. Two different things, two different timelines, both stated exactly as they stand. Nothing here relies on trust. Every claim is either already verifiable on chain right now, or has a stated deadline for when it will be. $GLUN is the token. Web3 without switching apps. That's GLUNITY.
119
6
183
3,257
BUDDYBUILDER retweeted
Most platforms make you build an audience first, then figure out monetization later, if ever. Glunity built the requirement in from day one. Here's exactly how it works. Reach 1,000 followers. Hit a qualifying Trust Score tier. That's it, you're eligible to earn, paid directly in GLUN. Why both requirements, not just one. Follower count alone can be bought, botted, or inflated. It measures reach, nothing more. Trust Score can't be faked the same way, it's built from real on chain activity, quality weighted engagement, and account longevity. Requiring both means you need actual reach and actual credibility, not just one or the other. This isn't a vague promise sitting in a roadmap. It's funded directly from the Community Growth and User Incentives allocation, 30% of total supply, the largest single bucket in our entire tokenomics. Compare that to platforms where creator payouts depend on ad revenue splits that change without notice, or engagement farming that rewards volume over substance. Here, the bar is set once, transparently, and it doesn't move based on what benefits the platform that quarter. Build real reach. Build real trust. Get paid for both, not just one. $GLUN is the token. Web3 without switching apps. That's GLUNITY.
166
5
216
2,940
BUDDYBUILDER retweeted
I stopped reading about Axis Robotics and actually tried contributing myself. Here is what surprised me. No hardware. No robotics background. No download. Just opened the browser, picked up a simulated task, and started teleoperating a virtual robot arm through basic manipulation tasks like grasping and placing objects. The tasks are short, a few minutes each, and the interface tells you exactly what motion is expected. Every session you complete becomes real training data that gets scored and fed into their model pipeline. It genuinely felt more like a game than "work," but the output is real data powering actual robots. What stood out most is how deliberate the scoring feels. It is not paying you for volume. Task difficulty, precision, and diversity all factor in, so lazy repeated motions score lower than genuinely careful ones. This is the part most people overlook when they judge a project only from the outside. Axis is not asking you to believe in a roadmap. It is asking you to spend ten minutes and see the product for yourself. If you have not tried it yet, you are judging Axis without actually using it. Try it asap: s.kaito.ai/Gq76idj
Scale AI built a multi billion dollar business doing one thing: labeling data for AI models. It became essential infrastructure, and investors who understood that early made outsized returns. Axis Robotics is doing the same thing for Physical AI, except the stakes are higher. Robots don't just need labeled images. They need millions of real human movement trajectories, hand poses, and physical interactions that simply don't exist on the internet. The playbook is familiar. Build the data layer everyone else needs. Become the infrastructure the entire industry depends on. Scale AI proved this model works for language and vision models. Axis is proving it works for embodied AI, with a global browser based contributor network instead of a centralized labeling workforce. The difference is Axis is doing this in the open, with a token, published research alongside UC Berkeley and Georgia Tech, and real industry partners already using the data. If you understood why Scale AI mattered, you already understand why Axis matters. The category is the same. The opportunity is earlier. @axisrobotics complete your task : s.kaito.ai/Gq76idj
114
3
196
956
BUDDYBUILDER retweeted
Most token projects never explain how they actually plan to stay alive long term. Here's ours, stated plainly. Glunity doesn't depend on printing more GLUN to fund itself. Supply is fixed at 1 billion, zero inflation, zero minting after launch. So the real question becomes, where does sustainability actually come from. Platform service fees, generated as the ecosystem gets used. Premium AI subscription revenue, paid monthly or annually in GLUN for deeper research access. Launchpad participation fees, starting once our integrated launchpad goes live in Phase 7, this is a Glunity revenue line, not a token utility. Sponsored placements, clearly labeled, never inserted into AI research output, never allowed to influence signals or rankings. A sponsored post can appear in the feed. It can never appear inside or alter a research card. That separation is a confirmed policy, not a suggestion. The long term goal is straightforward. As platform revenue grows, reliance on token emissions to fund development shrinks. Sustainability funded by actual usage, not by continuously diluting holders. Real product, real revenue, real funding. $GLUN is the token. Web3 without switching apps. That's GLUNITY.
164
6
223
2,961
BUDDYBUILDER retweeted
A few weeks ago I started sharing why I was paying attention to Axis Robotics. Today feels like the right moment to bring it full circle. I looked at the research, published alongside UC Berkeley and Georgia Tech, showing real benchmark results, not just claims. I looked at the Booster Robotics case study, where crowdsourced data outperformed an out of the box model by 2.3x on someone else's actual hardware. I compared it to Scale AI, because the playbook of becoming the data layer an entire industry depends on is not new, it is proven, just earlier here. And then I stopped analyzing and actually tried the platform myself, 10 minutes, no hardware, real data generated. Every piece points to the same conclusion. Physical AI is not short on ambition or capital right now. It is short on real world data, and Axis is quietly building the infrastructure that solves exactly that problem, with contributors, researchers, and industry partners all pulling in the same direction. This is not a narrative I am hoping plays out. It is one I have spent weeks verifying for myself. If you are only now paying attention, you are not late. You are early. Explore: s.kaito.ai/Gq76idj @axisrobotics
I stopped reading about Axis Robotics and actually tried contributing myself. Here is what surprised me. No hardware. No robotics background. No download. Just opened the browser, picked up a simulated task, and started teleoperating a virtual robot arm through basic manipulation tasks like grasping and placing objects. The tasks are short, a few minutes each, and the interface tells you exactly what motion is expected. Every session you complete becomes real training data that gets scored and fed into their model pipeline. It genuinely felt more like a game than "work," but the output is real data powering actual robots. What stood out most is how deliberate the scoring feels. It is not paying you for volume. Task difficulty, precision, and diversity all factor in, so lazy repeated motions score lower than genuinely careful ones. This is the part most people overlook when they judge a project only from the outside. Axis is not asking you to believe in a roadmap. It is asking you to spend ten minutes and see the product for yourself. If you have not tried it yet, you are judging Axis without actually using it. Try it asap: s.kaito.ai/Gq76idj
50
2
103
774
BUDDYBUILDER retweeted
Team tokens don't unlock overnight. Ours don't touch anything for 6 months. Then they release slowly, over 24 monthly unlocks, one piece at a time. No cliff drop. No early exit ramp. No quiet dump the week after listing. If the team wants their full allocation, they have to stick around for two years of actual building, not two weeks of hype. Compare that to Presale, which unlocks 20% at TGE with just a 1 month cliff before the rest follows over 3 monthly unlocks. Or Liquidity, which releases 37.5% immediately to support real market depth from day one. Every allocation has a different vesting logic, matched to what that allocation is actually for. Team gets the longest runway because building takes the longest time. Liquidity gets released fast because trading needs it fast. None of this is a marketing line. It's written directly into the vesting contracts, published, on chain, and checkable by anyone who wants to verify it themselves. Most teams talk about alignment. Ours is timestamped. $GLUN is the token. Web3 without switching apps. That's GLUNITY
178
3
190
1,777
BUDDYBUILDER retweeted
Every major AI wave has been bottlenecked by the same thing: data. Language models exploded once the internet gave them enough text. Image models took off once billions of labeled images became available. Now Physical AI, robots that can see, move, and act in the real world, is stuck at the same wall, except this time the data doesn't exist yet. You can't scrape the internet for how a human hand picks up a coffee cup. It has to be generated. That's the problem @axisrobotics is actually solving. Not building another robot. Not training another model. Building the data layer everything else depends on: a global, browser based network turning ordinary people into the source of the training data robotics companies desperately need. Analysts already project the humanoid and embodied robotics market to scale into the hundreds of billions over the next decade. Every one of those robots needs to learn from real world interaction data at massive scale. Whoever owns that data pipeline owns the leverage point of the entire industry. Axis isn't betting on a narrative. It's building the infrastructure the next decade of robotics can't function without. complete your task: s.kaito.ai/Gq76idj
Most Physical AI narratives live entirely on Crypto Twitter. Axis Robotics doesn't. Behind the token and the contributor campaigns, Axis is quietly building real partnerships across the robotics industry, working with companies like Booster Robotics, Dexmal, and automotive players like Geely and Lotus Car to supply the training data their robots and embodied AI systems actually need. This matters more than it sounds. Most data infrastructure plays stay theoretical, a whitepaper promise that never touches a real product. Axis is already plugged into companies building physical robots and automotive AI systems today, meaning their data engine isn't hypothetical demand, it's active pipeline. Combine that with peer reviewed research (published alongside UC Berkeley and Georgia Tech) and a 100K+ contributor network already generating usable trajectories, and you get a rare combination in this space: a project with real industry pull, not just retail hype. This is the difference between a "Web3 AI narrative" and a company that robotics firms actually rely on. @axisrobotics
113
3
186
8,771
BUDDYBUILDER retweeted
This is the new alpha if you are still early on $GLUN. Most projects drop a logo collage and call it “ecosystem.” @Glunity_org is actually putting the token in front of real users. Gate DEX BountyDrop: 14,000+ participants, $15,000 worth of GLUN to 1,500 people. KuCoin Web3 Wallet: 1,818,182 GLUN prize pool shared across 3,000 wallets. Huostarter: launchpad support for the token launch. That is distribution. Not decoration. $GLUN is the token. Glunity is the ecosystem, discover, research, trade, connect, build, and govern without bouncing between five apps. The account is still small. The partnerships are already live. This is the window where following early actually matters. Follow @Glunity_org, read the post, and sit on it before the timeline catches up.
$GLUN isn’t built to live in isolation. From community campaigns to token distribution and launch infrastructure, Glunity is already working with established Web3 platforms to put $GLUN in front of real users. Gate DEX Our BountyDrop campaign attracted 14,000+ participants, with $15,000 worth of GLUN allocated to 1,500 participants. KuCoin Web3 Wallet Our latest campaign featured a 1,818,182 GLUN prize pool, with 3,000 wallets selected to share the rewards. Huostarter Supporting GLUN’s token launch and early participation through launchpad infrastructure. These partnerships are more than logos on a website. They represent distribution, access, and real pathways for users to interact with $GLUN. And as Glunity continues to build, we’ll keep adding the infrastructure and strategic partnerships needed to connect the ecosystem. $GLUN is the token. Glu­nity is the ecosystem. The network around both is just getting started. Eliminating fragmentation. Unifying Web3.
1
1
5
199
BUDDYBUILDER retweeted
Vacheron Constantin celebrated its 270th anniversary in 2025 with a series of special releases that brought some subtle celebratory details to several of the brand’s most classical designs. Among them were the Traditionnelle Manual-Winding and Patrimony Self-Winding models featured here. The Traditionnelle pairs its silver-hued dial with either a platinum or pink gold case, while the Patrimony is presented in white gold or pink gold. All four lead with the slim proportions and understated elegance you’d expect from Vacheron, with a subtle Maltese cross textural pattern and refined hands and indices complementing the warm and cool tones of each execution. The anniversary details continue through the movements, where Vacheron revived its historic côte unique finishing alongside a special 270th-anniversary emblem. Much of what makes these watches special is revealed in the details and feels fitting for a milestone like this. Which of these four would you choose?
4
11
215
12,327
BUDDYBUILDER retweeted
37
645
7,122
92,893
This watch allows you to tell the time based solely on sound! 🔊 The Chiming Blancpain Minute Repeater ⌚️
8
17
182
25,712
ついに懐中時計デビューしました!およそ100歳のオーデマピゲ製ギュブランのパーペチュアルカレンダー、ミニッツリピーターです!音を聞いてね。 My first pocket watch! 100 years old Gubelin by Audemars Piguet, Perpetual Calendar Minute Repeater. #audemarspiguet #オーデマピゲ #懐中時計
11
34
257
BUDDYBUILDER retweeted
Omega Seamaster Planet Ocean
1
17
359
29,210
BUDDYBUILDER retweeted
watch collection
14
252
3,281
96,303
BUDDYBUILDER retweeted
Get ready to laugh with the ultimate funny cat videos compilation. From cats wearing hats to hilarious reactions and serious stares, this collection captures the best moments felines have to offer. We have included plenty of playful Sphynx cats and silly antics that any pet
1
1
28
BUDDYBUILDER retweeted
Ten DeFi products running simultaneously is not a portfolio. It's ten tabs open with no overview. Moxio is the layer that turns the suite into a strategy. 🔷 Moxio is Nomisma's portfolio interface and strategy tool. Think of it as the command layer that sits above the other nine dApps: 🔷 Cross-protocol position view — see your SlurpySwap liquidity, PerX perp exposure, CandyLend loan, Zomma options, Guar coverage, and Liqwa ranges in one unified interface 🔷 Strategy routing — define a goal (e.g. "maximise yield while hedging with Zomma") and Moxio maps the optimal path across the suite 🔷 Rebalancing signals — shows when positions are drifting from target; gasless execution means rebalancing costs $0 to act on 🔷 On-chain state in one query — relational architecture means Moxio reads your full cross-protocol status natively, no off-chain aggregation patchwork ❌ Without Moxio: you manually track 10 separate protocol UIs, calculate net exposure by hand, and rebalance manually with gas costs at every step. ✅ With Moxio: one screen shows you the whole picture. The agent economy runs the maintenance. Moxio is also what makes Nomisma legible to larger capital. You can't route institutional size through a protocol you can't monitor holistically. Testnet only, no live TVL, strategy signals are unproven at real scale. This is the designed capability, not live performance data. DYOR — NFA. TGE: H2 2026. Fair launch.
154
13
231
1,755