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Day 10: Wrap-up and a 30-day roadmap In ten days we moved from the “HTTPS for blockchains” idea to working pieces: an encrypted counter, an ERC-7984-style token, a front-run-resistant AMM sketch, compliant RWA with conditional disclosure, confidential voting, FHE performance notes, and a minimal encrypted balance wallet. The theme is steady: use Zama’s fhEVM and a TFHE coprocessor so computation happens over ciphertext while decryption remains policy-driven. Over the next thirty days the goal is productization. Week one hardens the ledger, adds auditor view and KMS. Week two ships an AMM lite with quotes, fees, and minimal on-chain leakage. Week three launches a receipt-based confidential governance demo. Week four packages a client SDK, writes guides, and opens community testing. The destination is familiar DeFi rhythm with privacy by default @zama_fhe as the quiet layer of trust you barely notice, because it just works. #Zama #FHE #ZamaCreatorProgram

Day 11: Audit & Security Harden I kicked off Day 11 like prepping a band before a big show. @zama_fhe brings TFHE into fhEVM so computations run over ciphertext, but shipping a product means security can’t rest on math alone. Today’s “audit sprint” framed the system through an attacker’s lens: what if an attestation is forged, a relayer suffers DoS, or a KMS is compromised? Short verdict: the architecture is promising ciphertext-based compute preserves secrecy, attestations provide trust but operational gaps remain. Deliverable: a concise findings report (critical / high / medium / low) plus an actionable remediation list: Harden attestation chain: multi-signature, timestamps, and replay protection. Relayer resilience: circuit breakers, rate limits, and fallback relayer pools. KMS & key ops: threshold keys for decryption, key rotation, and cold root key storage. Attestation diversity: on-chain hash anchors + off-chain logs for cross-audit. Monitoring & canaries: detect anomalous attestations, auto-alerts, and failover. Bottom line: Zama’s FHE stack is a powerful foundation; security is iterative. Today we patched and bolstered; next step is red-team stress tests and continuous monitoring. #Zama #FHE #ZamaCreatorProgram

Day 9: Public Mini-POC: Encrypted Balance Ledger on @zama_fhe Today I’m shipping a minimal confidential wallet. On chain you only see opaque handles; balances and transfers live as euint64 inside fhEVM, while add/subtract runs on a TFHE coprocessor with an execution attestation. D ecryption is policy-driven: holders see their own balance, auditors see aggregates, everyone else sees nothing beyond minimal metadata. To try it, top up a bit of Sepolia ETH, run the init script, have wallet A send an encrypted amount to wallet B; the client encrypts inputs, signs, returns a receipt, and only authorized parties can decrypt results. It feels like classic DeFi flow with privacy baked in. The repo includes a README, env template, and deploy scripts; next I can add an auditor “view-only” mode and per-transfer limits without exposing amounts. Tomorrow I’ll wrap the 10-day sprint and lay out a 30-day roadmap toward a confidential AMM, private voting, and enterprise KMS integration. #Zama #FHE #ZamaCreatorProgram

Day 9: Behind the Circuit I remember the first time I opened a circuit diagram for a ZK proof and felt a little lost, like looking at an orchestra score without knowing the instruments. Cysic changed that feeling into something less intimidating. Watching how they break a big, messy computation into neat circuit pieces is a quiet kind of beauty. Each gate, each wire is treated like a small problem to optimize, and the cumulative effect is enormous. What surprised me was how practical the work looks up close. Engineers tune how data flows between stages, fold operations to reduce memory pressure, and run multiple proving lanes in parallel so the whole system doesn’t wait on any single bottleneck. It is not magic; it is patience, measurements, and repeating the small improvements until the whole circuit sings. Sitting with the logs and the low level metrics, I began to appreciate the craft. The math still matters, but the art is in the plumbing. @cysic_xyz approach makes proofs feel less like an academic exercise and more like an engineered product you can trust to run fast, predictably, and at scale. After seeing that, I stopped treating ZK as a mystery and started treating it as a tool I could build with. #Cysicxyz #KAITO

Day 5: Crypto x Stocks in one frame Today I tested how @EdgenTech stitches crypto and equities into a single investment view. I asked: “For the theme on-chain infrastructure, which crypto assets benefit and which listed stocks stand to gain?” EDGM routed the query to tokenomics/chain agents, equities agents (hardware, infrastructure, payments), flows, and news, then returned a concise correlation matrix: shared catalysts, historical co-movements, and cross-risk vectors (regulatory, liquidity). A simulated takeaway: when adoption of an infrastructure layer ramps, Token A sees rising on-chain activity and liquidity, while Stock B (an infra hardware supplier) benefits indirectly via higher demand; Edgen presents both short-term signals and a 12-month trend outlook. My favorite output is the “convergence score” a single metric that quantifies how tightly crypto and equity narratives align for a given theme. The practical result: you can build hedged ideas (go long a token, long a related stock to offset ecosystem risk) with clear triggers and stop guidelines. Challenge for you: pick one theme this week, run Edgen’s cross-market view, and post your two hedged ideas, let’s compare notes.

Hi @Support , my account/post has been artificially boosted (reposts & likes) by a third party without my consent. These engagements were not made by me. Please investigate and remove any engagements not performed by the account owner, and advise next steps to secure my account. Thank you. I try block all account boosted for me.

This morning I opened my unfinished project, a video agent for a STEM class. I tweaked the lighting, slipped in a hesitant line, then hit publish. My wallet popped up and the everlynAI key authenticated the call, metering usage and binding the edit to my identity. A diary of the change appeared instantly. Scene three was timestamped and hashed, with the chosen voice, the model version, and every contributor listed. It felt like sealing each frame with a wax stamp. In the afternoon, a colleague in Hanoi forked that scene to add a boiling water experiment. A notification pinged, and version history showed a clean new branch with notes. Permissions followed my EverlynAI key scopes, so I could grant, limit, or revoke access without sending files around. A smart contract quietly split shares to the composer, the subtitle editor, and the model provider. No invoices, no nudges. Value flowed to the right people. By evening, a learning center asked to use the scene pack. I issued a license in the interface, which minted a usage token bound to their @Everlyn_ai key with time limits and revenue sharing. They used it legally, we received our share. With a decentralized video AI layer and onchain traces, creativity becomes calm, transparent collaboration. #everlynai #KaitoYaps

Day 6: RWA and compliance on Zama: disclose just enough to the right party, at the right time Picking up from Day 5, I take our confidential token into real-world assets. Picture a corporate bond encoded on the @zama_fhe Confidential Blockchain Protocol. Investors see coupons arrive on schedule, while balances and histories remain opaque handles. A supervising bank peeks through a narrow window to verify limits and KYC status without touching the exact amounts. Auditors wield a different key to view aggregate payouts, but never the list of individual wallets. Decryption policy is programmable, tied to roles, timing, and context, executed through fhEVM and the coprocessor with attestations so everyone trusts the math. RWA no longer feels like a trade-off between privacy and regulation; it becomes careful stagecraft: sensitive data stays behind the curtain, public verifiability keeps the lights bright. Tomorrow I’ll shift to confidential governance, where outcomes are transparent yet each voter’s choice remains entirely their own. #Zama #FHE #ZamaCreatorProgram

VOOI Update: Trading Volume & User Metrics (as of October 24, 2025) @vooi_io is a multi-chain perpetuals aggregator that lets traders access liquidity from multiple perps DEXs through a single, gasless, cross-chain balance. With VOOI V2, the project is expanding beyond pure perps into a unified app experience. Snapshot: - Total trading volume (ecosystem-wide): $14.3B - Total traders (unique): 90k+ Perps Aggregator volumes (DeFiLlama): ~$225M (24h) • ~$1.16B (7d) • ~$3.08B (30d) • ~$13.14B cumulative Why numbers differ across sources: The VOOI homepage shows total ecosystem volume and total traders across the product. DeFiLlama tracks VOOI’s Perps Aggregator module specifically and applies its own methodology for notional (leveraged) volume. Because scope and methodology differ, figures won’t match exactly but they’re complementary. User Distribution (V1 RetroPoints data) VOOI’s public Points/RetroPoints materials provide a historical view of trader cohorts from V1: Top 4 traders: >$100M volume each (eligible for the highest RetroPoints bracket) Next 5 traders (ranks 5–9): $39–55M High-volume cohort: 688 traders >$1M Core base: 6,673 users $10k–$1M Note: This breakdown reflects historical trading for reward allocation (not real-time DAU/MAU). Recent Developments (high level) V2 experience: one balance across chains, gasless execution, integrations expanding; homepage counters currently show $14.3B total volume and 90k+ traders. Sustained activity: DeFiLlama’s Perps Aggregator page for VOOI shows healthy short-term and cumulative volumes, indicating consistent usage rather than one-off spikes. How to use these metrics For marketing/PR: cite the homepage totals ($14.3B, 90k+ traders). For benchmarking vs. other aggregators: use DeFiLlama (24h/7d/30d/total). For deeper analytics over time: consult community Dune dashboards tracking volume, traders, and retention. Sources Official site: vooi.io (live counters for total volume & traders) Analytics: DeFiLlama → VOOI (Perps Aggregator) Docs: VOOI Points / RetroPoints (user tier breakdown) Join on @cookiedotfun

watching @MMTFinance redefine DeFi with digital gold yields XAUm fixed-rate, no slippage, deep liquidity buy XAUm, stake, earn XAUm-USDC pool ~16% APR + Momentum Bricks TVL just crossed $500M liquidity isn’t slowing down on Sui Momentum teamed with Matrixdock & Official_NODO to unlock real utility Season 1 WAGMI Trading Competition ends Oct 15 2025 Season 2 brings new leaderboards, multipliers, and more bricks CLMM on Sui is delivering deeper liquidity for real traders $MMT is the backbone here community-led growth, real yields If you’re hunting alpha, look at cross-pool yields and up to 120% APR on select pairs This is the kind of DeFi that finally moves the needle

Day 10: From Cloud to Chip There’s a strange satisfaction in watching a workload you used to toss at a cloud instance find its way down into silicon. I remember packaging a proof, sending it off to a remote VM, and then waiting sometimes impatiently for the result. With @cysic_xyz , that journey felt shortened and more intimate the day I ran the same job and watched an accelerator take over. The machine’s hum changed; it was no longer a distant server farm but a focused piece of hardware in my workflow. Moving from cloud to chip is not just about shaving seconds. It’s about predictability and lowering the cost of trust. When certain proving steps live on specialized silicon, variance drops, throughput rises, and what used to need orchestration across many instances becomes a single coherent pipeline. That changes how I design features. I start thinking in terms of tight feedback loops and real-time proofs rather than batched, asynchronous jobs. By the end of that test, I felt oddly reassured. The proof had traveled from an abstract cloud promise into a physical circuit that did its job reliably. For builders, that’s the kind of reliability that invites experimentation. #Cysicxyz #yapper #KAITO

Compute-time privacy is the unlock most chains still miss Fully Homomorphic Encryption lets contracts compute on encrypted data no leaks, no off-chain trust the crew at @zama_fhe cracked the too slow meme: optimized libraries + FHE VMs, 100x speedups, turning workloads that used to take minutes into on-chain-friendly latencies private AMMs, sealed game state, healthcare or voting rails with confidentiality and verifiability If you build, start small: - pick the VM - size ciphertexts - benchmark latency/gas - ship a POC and iterate I'm eyeing FHE x agents with @playAInetwork next Season 3 of #ZamaCreatorProgram just kicked off what should launch first: DeFi, gaming, or voting? drop your vote and tell me why Where do you see FHE making the biggest impact first?

Day 8: FHE on Zama: from heavy math to everyday UX FHE lets contracts compute over encrypted data; on @zama_fhe , fhEVM exposes euint/ebool while a coprocessor runs TFHE circuits off chain. The historical bottleneck, bootstrapping, gets tamed with GPU/HPU kernels, vectorization, and ciphertext compression, pushing latency toward interactive ranges. Good UX comes from fewer round trips: bundle multiple operations per job, avoid noisy events, and reveal only minimal metadata. On the client, the SDK handles encryption/decryption and verifies an execution attestation so users trust the math, not the operator. Enterprises can gate access via KMS or threshold keys, granting views of results without exposing raw inputs. When designing, pick the smallest encrypted types that fit, batch arithmetic/compare steps, and keep non-sensitive logic in vanilla EVM. The outcome feels familiar submit, get a receipt, while the actual numbers stay invisible except to authorized parties at the right time. FHE moves from theory to muscle memory, and the Zama Confidential Blockchain Protocol makes that shift usable at product speed. #Zama #FHE #ZamaCreatorProgram Join on @KaitoAI

Good morning all my friends 🌿 🌻Breathe in, smile, and let’s greet today with calm focus and a little curiosity. Today’s small plan, slightly different from yesterday • Morning anchor: step outside for five minutes, stretch, and set one clear intention. • Deep focus block: choose one meaningful task and work on it for 60 minutes without interruptions. • Midday reset: a 12 minute walk with no phone notifications. Let your mind wander. • Tiny creative break: spend five minutes sketching an idea or writing a short sentence you like. • Evening slow close: twenty minutes for a relaxing ritual, then jot two small wins before bed. Keep everything tiny enough to actually finish. Small wins add up. @vooi_io user experience and staking $COOKIE explained, concise and practical 🧠VOOI user experience summary VOOI focuses on making complex perpetual trading feel simple and approachable. The platform uses chain abstraction so your balance behaves like a single cross chain pool. This removes much of the bridge and gas friction people normally face when moving between EVM networks. VOOI The interface prioritizes clarity. Light Mode and the Simulator let new users learn trading mechanics without big on chain risk. Smart Mode routes orders across multiple liquidity sources to reduce slippage. Order controls include setting Take Profit and Stop Loss at order creation so exits are intentional and less emotional. These features together aim to give everyday users an experience closer to centralized exchanges while keeping custody over their keys. X (formerly Twitter)+1 Practical UX tips when you try VOOI today • Start in Light Mode or use the Simulator to run a tiny experiment. • Set TP and SL when you open a trade so your exit rules are clear. • Watch how Smart Mode routes your trade and note the slippage estimate. • Use the unified balance view to monitor 24 hour changes and avoid surprise movements. VOOI+1 🔥Staking $COOKIE to get boosts, what to know Staking $COOKIE gives users access to points and multiplier systems that can increase rewards and boost participation tiers. Staked $COOKIE often influences farming tiers or snapshot multipliers used in certain campaigns. Projects in this ecosystem run periodic events where staking levels determine boost multipliers and eligibility for bonus rewards. If you plan to stake, check the staking page and the specific campaign rules before you lock up tokens. @cookiedotfun ⚡️Practical staking pointers • Only stake what you can afford to lock for the campaign window. • Understand how points or multipliers are calculated in each event. • Keep an eye on governance and release notes so you know when multipliers or snapshot rules change. Closing thought Do one small thing now that moves you forward. It can be the focused task you picked, a five minute stretch, or a quick demo trade in Light Mode. Finish today with gratitude for what you did and a tiny note on what to try next. Have a calm and productive day 🌸 Thanks @leshka_eth , @Dany_Crypto1 , @TimHaldorsson supported for me

Day 2: Zama Protocol 101: fhEVM & Coprocessor (understand quickly, do it right away) @zama_fhe Protocol operates as a “confidentiality” layer on top of L1/L2: you still write familiar Solidity but instead of normal integers, sensitive values ​​use encodings like euint/ebool, meaning all calculations take place on ciphertext. When a user sends encrypted data to the contract, the contract delegates the FHE calculation to the coprocessor a coprocessor network that performs addition/subtraction/comparison/exponentiation on the ciphertext and returns the result also in encrypted form with proof/attestation. This flow maintains public verifiability on the chain but avoids data exposure. The relayer/policy layer routes calls, optimizes fees, and applies “programmable confidentiality”: who gets to decrypt and when (e.g., only wallet owners or enterprise KMS). The advantage for developers is composability: the parts that need to be secret use encrypted types, the rest is still regular EVM; gas is paid on-chain while FHE costs are on the coprocessor. Good design means only exposing minimal metadata, while the core value is kept as an encrypted “handle”.

Good morning friends 🌞 Breathe in, stretch gently, and let’s meet today with quiet purpose and small ambition. Today’s rhythm is slightly different from yesterday so you get fresh momentum. Today’s micro plan, with a little twist • Morning warmup: spend seven minutes outside, noticing three things you can hear. • High focus block: work on one priority for 50 minutes, then take a five minute breath break. • Midday move: do a short 10 minute movement walk, stretch, or quick yoga to reset energy. • Creative pop: spend five minutes writing a single bold idea, no editing. • Evening reset: turn off screens for thirty minutes before bed and do a simple calming ritual. Small, consistent actions beat big, sporadic pushes. Keep it gentle and repeatable. VOOI points optimization and referral benefits explained simply and practically What the points system is for @vooi_io points are used to reward active users, determine campaign boosts, and influence participation tiers. Points can increase your share of rewards in events, improve your campaign multipliers, and sometimes raise your eligibility for special drops or bonus distributions. Think of points as a way the platform recognizes sustained engagement and useful behavior. How to optimize points effectively Stake $COOKIE thoughtfully Staking $COOKIE often multiplies the points you earn in campaigns. Stake amounts that match your comfort with locking tokens. Higher committed balances usually give bigger multipliers but remember to keep liquidity needs in mind. Trade with intention rather than noise Points are typically tied to meaningful activity. Execute trades that align with your strategy and avoid excessive random trades just to chase points. Use small, intentional tests in Light Mode or the Simulator before scaling. This trains you to capture points while avoiding poor execution costs. Participate in official campaigns and events Campaigns and competitions are high-yield opportunities for points. Follow official announcements, take part in leaderboard events, and meet the specific campaign rules. Target the activities that the campaign explicitly rewards because those actions give the strongest point returns. Keep on-platform balances and activity Holding and using assets on the platform often counts toward engagement metrics. Regularly check your portfolio view and maintain the minimal active footprint required by ongoing programs so your account stays eligible for rolling snapshots. Use referral invites strategically Referrals frequently generate both direct rewards and point bonuses. Invite people who will actually use the platform. A productive referee who trades and participates in events amplifies your earned points more than dozens of inactive invites. Combine actions for multiplier effects Points systems often reward combos: staking plus trading plus campaign participation. Plan your actions so they stack positively rather than conflicting. For example, stake before an event window, then participate actively while your stake is live to maximize multipliers. Track, review, repeat After each campaign or a week of activity, review the points you gained, which actions worked best, and what cost you in fees or slippage. Keep a short log and repeat the most efficient patterns. Practical checklist to follow this week • Check the current campaign rules and snapshot windows before staking or trading. • If you plan to stake, decide the lock window and amount that won’t block your short-term needs. • Run a simulator trade to test routing and estimated slippage. • Participate in one official event this week and complete the exact tasks required. • Invite two referees who you can coach on starting with Light Mode so they become active users. • Review your points and learnings every Sunday and refine the next week’s plan. Why referrals matter beyond quick rewards • Compound effect: a single engaged referee can generate ongoing points for you through their trades and event participation. • Social leverage: referrals grow community activity around your profile which helps in social-based campaigns. • Tier access: some projects use referral-weighted metrics to unlock higher tiers or better multipliers. • Shared learning: teaching a referee how to use Light Mode, Simulator, and TP/SL increases their success and therefore your long-term upside. Safety and common-sense reminders • Only stake what you can lock for the chosen period. • Don’t trade to chase points if it violates your risk rules. • Watch slippage and fees; optimal point capture can be negated by high execution cost. • Read official rules for each campaign because snapshot timing and eligibility conditions change. Closing thought Use today to run one small, well-planned experiment that combines two point-earning actions. For example, stake a modest amount, do one simulator trade, then join an event task. Track results, learn quickly, and iterate. Small experiments So have to join campaign on @cookiedotfun #Vooiio #cookiedotfun

Day 9: Public Mini-POC: Encrypted Balance Ledger on @zama_fhe Today I’m shipping a minimal confidential wallet. On chain you only see opaque handles; balances and transfers live as euint64 inside fhEVM, while add/subtract runs on a TFHE coprocessor with an execution attestation. D ecryption is policy-driven: holders see their own balance, auditors see aggregates, everyone else sees nothing beyond minimal metadata. To try it, top up a bit of Sepolia ETH, run the init script, have wallet A send an encrypted amount to wallet B; the client encrypts inputs, signs, returns a receipt, and only authorized parties can decrypt results. It feels like classic DeFi flow with privacy baked in. The repo includes a README, env template, and deploy scripts; next I can add an auditor “view-only” mode and per-transfer limits without exposing amounts. Tomorrow I’ll wrap the 10-day sprint and lay out a 30-day roadmap toward a confidential AMM, private voting, and enterprise KMS integration. #Zama #FHE #ZamaCreatorProgram

Day 10: From Cloud to Chip There’s a strange satisfaction in watching a workload you used to toss at a cloud instance find its way down into silicon. I remember packaging a proof, sending it off to a remote VM, and then waiting sometimes impatiently for the result. With @cysic_xyz , that journey felt shortened and more intimate the day I ran the same job and watched an accelerator take over. The machine’s hum changed; it was no longer a distant server farm but a focused piece of hardware in my workflow. Moving from cloud to chip is not just about shaving seconds. It’s about predictability and lowering the cost of trust. When certain proving steps live on specialized silicon, variance drops, throughput rises, and what used to need orchestration across many instances becomes a single coherent pipeline. That changes how I design features. I start thinking in terms of tight feedback loops and real-time proofs rather than batched, asynchronous jobs. By the end of that test, I felt oddly reassured. The proof had traveled from an abstract cloud promise into a physical circuit that did its job reliably. For builders, that’s the kind of reliability that invites experimentation. #Cysicxyz #yapper #KAITO

This morning I opened my unfinished project, a video agent for a STEM class. I tweaked the lighting, slipped in a hesitant line, then hit publish. My wallet popped up and the everlynAI key authenticated the call, metering usage and binding the edit to my identity. A diary of the change appeared instantly. Scene three was timestamped and hashed, with the chosen voice, the model version, and every contributor listed. It felt like sealing each frame with a wax stamp. In the afternoon, a colleague in Hanoi forked that scene to add a boiling water experiment. A notification pinged, and version history showed a clean new branch with notes. Permissions followed my EverlynAI key scopes, so I could grant, limit, or revoke access without sending files around. A smart contract quietly split shares to the composer, the subtitle editor, and the model provider. No invoices, no nudges. Value flowed to the right people. By evening, a learning center asked to use the scene pack. I issued a license in the interface, which minted a usage token bound to their @Everlyn_ai key with time limits and revenue sharing. They used it legally, we received our share. With a decentralized video AI layer and onchain traces, creativity becomes calm, transparent collaboration. #everlynai #KaitoYaps

Day 10: Wrap-up and a 30-day roadmap In ten days we moved from the “HTTPS for blockchains” idea to working pieces: an encrypted counter, an ERC-7984-style token, a front-run-resistant AMM sketch, compliant RWA with conditional disclosure, confidential voting, FHE performance notes, and a minimal encrypted balance wallet. The theme is steady: use Zama’s fhEVM and a TFHE coprocessor so computation happens over ciphertext while decryption remains policy-driven. Over the next thirty days the goal is productization. Week one hardens the ledger, adds auditor view and KMS. Week two ships an AMM lite with quotes, fees, and minimal on-chain leakage. Week three launches a receipt-based confidential governance demo. Week four packages a client SDK, writes guides, and opens community testing. The destination is familiar DeFi rhythm with privacy by default @zama_fhe as the quiet layer of trust you barely notice, because it just works. #Zama #FHE #ZamaCreatorProgram

Good morning all my friends 🌿 🌻Breathe in, smile, and let’s greet today with calm focus and a little curiosity. Today’s small plan, slightly different from yesterday • Morning anchor: step outside for five minutes, stretch, and set one clear intention. • Deep focus block: choose one meaningful task and work on it for 60 minutes without interruptions. • Midday reset: a 12 minute walk with no phone notifications. Let your mind wander. • Tiny creative break: spend five minutes sketching an idea or writing a short sentence you like. • Evening slow close: twenty minutes for a relaxing ritual, then jot two small wins before bed. Keep everything tiny enough to actually finish. Small wins add up. @vooi_io user experience and staking $COOKIE explained, concise and practical 🧠VOOI user experience summary VOOI focuses on making complex perpetual trading feel simple and approachable. The platform uses chain abstraction so your balance behaves like a single cross chain pool. This removes much of the bridge and gas friction people normally face when moving between EVM networks. VOOI The interface prioritizes clarity. Light Mode and the Simulator let new users learn trading mechanics without big on chain risk. Smart Mode routes orders across multiple liquidity sources to reduce slippage. Order controls include setting Take Profit and Stop Loss at order creation so exits are intentional and less emotional. These features together aim to give everyday users an experience closer to centralized exchanges while keeping custody over their keys. X (formerly Twitter)+1 Practical UX tips when you try VOOI today • Start in Light Mode or use the Simulator to run a tiny experiment. • Set TP and SL when you open a trade so your exit rules are clear. • Watch how Smart Mode routes your trade and note the slippage estimate. • Use the unified balance view to monitor 24 hour changes and avoid surprise movements. VOOI+1 🔥Staking $COOKIE to get boosts, what to know Staking $COOKIE gives users access to points and multiplier systems that can increase rewards and boost participation tiers. Staked $COOKIE often influences farming tiers or snapshot multipliers used in certain campaigns. Projects in this ecosystem run periodic events where staking levels determine boost multipliers and eligibility for bonus rewards. If you plan to stake, check the staking page and the specific campaign rules before you lock up tokens. @cookiedotfun ⚡️Practical staking pointers • Only stake what you can afford to lock for the campaign window. • Understand how points or multipliers are calculated in each event. • Keep an eye on governance and release notes so you know when multipliers or snapshot rules change. Closing thought Do one small thing now that moves you forward. It can be the focused task you picked, a five minute stretch, or a quick demo trade in Light Mode. Finish today with gratitude for what you did and a tiny note on what to try next. Have a calm and productive day 🌸 Thanks @leshka_eth , @Dany_Crypto1 , @TimHaldorsson supported for me

Hi @Support , my account/post has been artificially boosted (reposts & likes) by a third party without my consent. These engagements were not made by me. Please investigate and remove any engagements not performed by the account owner, and advise next steps to secure my account. Thank you. I try block all account boosted for me.

If I had to pick one thing that sets @PortaltoBitcoin apart, it would be the path a swap takes. That is where the architecture shows itself most clearly. The flow begins when a user creates a swap_intent on the DEX contract in an EVM environment. The Notary Chain validator set records the intent while the ADMM prices the trade from virtual liquidity across ticks like Uniswap v3 but coordinated across chains. Liquidity providers confirm a price range, and the BTC leg is locked with an HTLC on Lightning. When the secret holder redeems on one side the secret is revealed on chain and unlocks the other side. The outcome is always binary. Either the swap completes or the funds return to the wallet. No bridges, no wrapped assets, no custody. The Notary Chain is built on Cosmos and uses proof of stake with CometBFT to reach fast finality, batching swaps per block to reduce MEV risk. BitScaler provides throughput and orchestration so apps can go beyond spot into perps, lending, real world assets, and even tokenized equities. On Bitcoin, Portal extends Lightning with Channel Factories for cheaper and faster deposits and withdrawals. For LPs a non custodial delegation model using a variant of DLC ensures validators cannot seize funds. The node architecture has two layers. PortalOS Nodes are the engine with validators, liquidity, and swaps, with only forty two slots per epoch that require PTB staking. Lite Nodes are the eyes and ears anyone can run to verify, cross check, and relay events while earning PTB. PTB also pays gas on the Notary Chain, enables validator slot auctions, and is bought back and burned from swap fees so net supply pressure declines as usage grows. I like Portal because it lets me trust code rather than people. Try a small swap and you will see how cross chain can be fast, sovereign, and transparent.

VOOI Update: Trading Volume & User Metrics (as of October 24, 2025) @vooi_io is a multi-chain perpetuals aggregator that lets traders access liquidity from multiple perps DEXs through a single, gasless, cross-chain balance. With VOOI V2, the project is expanding beyond pure perps into a unified app experience. Snapshot: - Total trading volume (ecosystem-wide): $14.3B - Total traders (unique): 90k+ Perps Aggregator volumes (DeFiLlama): ~$225M (24h) • ~$1.16B (7d) • ~$3.08B (30d) • ~$13.14B cumulative Why numbers differ across sources: The VOOI homepage shows total ecosystem volume and total traders across the product. DeFiLlama tracks VOOI’s Perps Aggregator module specifically and applies its own methodology for notional (leveraged) volume. Because scope and methodology differ, figures won’t match exactly but they’re complementary. User Distribution (V1 RetroPoints data) VOOI’s public Points/RetroPoints materials provide a historical view of trader cohorts from V1: Top 4 traders: >$100M volume each (eligible for the highest RetroPoints bracket) Next 5 traders (ranks 5–9): $39–55M High-volume cohort: 688 traders >$1M Core base: 6,673 users $10k–$1M Note: This breakdown reflects historical trading for reward allocation (not real-time DAU/MAU). Recent Developments (high level) V2 experience: one balance across chains, gasless execution, integrations expanding; homepage counters currently show $14.3B total volume and 90k+ traders. Sustained activity: DeFiLlama’s Perps Aggregator page for VOOI shows healthy short-term and cumulative volumes, indicating consistent usage rather than one-off spikes. How to use these metrics For marketing/PR: cite the homepage totals ($14.3B, 90k+ traders). For benchmarking vs. other aggregators: use DeFiLlama (24h/7d/30d/total). For deeper analytics over time: consult community Dune dashboards tracking volume, traders, and retention. Sources Official site: vooi.io (live counters for total volume & traders) Analytics: DeFiLlama → VOOI (Perps Aggregator) Docs: VOOI Points / RetroPoints (user tier breakdown) Join on @cookiedotfun

Good morning friends 🌞 Breathe in, stretch gently, and let’s meet today with quiet purpose and small ambition. Today’s rhythm is slightly different from yesterday so you get fresh momentum. Today’s micro plan, with a little twist • Morning warmup: spend seven minutes outside, noticing three things you can hear. • High focus block: work on one priority for 50 minutes, then take a five minute breath break. • Midday move: do a short 10 minute movement walk, stretch, or quick yoga to reset energy. • Creative pop: spend five minutes writing a single bold idea, no editing. • Evening reset: turn off screens for thirty minutes before bed and do a simple calming ritual. Small, consistent actions beat big, sporadic pushes. Keep it gentle and repeatable. VOOI points optimization and referral benefits explained simply and practically What the points system is for @vooi_io points are used to reward active users, determine campaign boosts, and influence participation tiers. Points can increase your share of rewards in events, improve your campaign multipliers, and sometimes raise your eligibility for special drops or bonus distributions. Think of points as a way the platform recognizes sustained engagement and useful behavior. How to optimize points effectively Stake $COOKIE thoughtfully Staking $COOKIE often multiplies the points you earn in campaigns. Stake amounts that match your comfort with locking tokens. Higher committed balances usually give bigger multipliers but remember to keep liquidity needs in mind. Trade with intention rather than noise Points are typically tied to meaningful activity. Execute trades that align with your strategy and avoid excessive random trades just to chase points. Use small, intentional tests in Light Mode or the Simulator before scaling. This trains you to capture points while avoiding poor execution costs. Participate in official campaigns and events Campaigns and competitions are high-yield opportunities for points. Follow official announcements, take part in leaderboard events, and meet the specific campaign rules. Target the activities that the campaign explicitly rewards because those actions give the strongest point returns. Keep on-platform balances and activity Holding and using assets on the platform often counts toward engagement metrics. Regularly check your portfolio view and maintain the minimal active footprint required by ongoing programs so your account stays eligible for rolling snapshots. Use referral invites strategically Referrals frequently generate both direct rewards and point bonuses. Invite people who will actually use the platform. A productive referee who trades and participates in events amplifies your earned points more than dozens of inactive invites. Combine actions for multiplier effects Points systems often reward combos: staking plus trading plus campaign participation. Plan your actions so they stack positively rather than conflicting. For example, stake before an event window, then participate actively while your stake is live to maximize multipliers. Track, review, repeat After each campaign or a week of activity, review the points you gained, which actions worked best, and what cost you in fees or slippage. Keep a short log and repeat the most efficient patterns. Practical checklist to follow this week • Check the current campaign rules and snapshot windows before staking or trading. • If you plan to stake, decide the lock window and amount that won’t block your short-term needs. • Run a simulator trade to test routing and estimated slippage. • Participate in one official event this week and complete the exact tasks required. • Invite two referees who you can coach on starting with Light Mode so they become active users. • Review your points and learnings every Sunday and refine the next week’s plan. Why referrals matter beyond quick rewards • Compound effect: a single engaged referee can generate ongoing points for you through their trades and event participation. • Social leverage: referrals grow community activity around your profile which helps in social-based campaigns. • Tier access: some projects use referral-weighted metrics to unlock higher tiers or better multipliers. • Shared learning: teaching a referee how to use Light Mode, Simulator, and TP/SL increases their success and therefore your long-term upside. Safety and common-sense reminders • Only stake what you can lock for the chosen period. • Don’t trade to chase points if it violates your risk rules. • Watch slippage and fees; optimal point capture can be negated by high execution cost. • Read official rules for each campaign because snapshot timing and eligibility conditions change. Closing thought Use today to run one small, well-planned experiment that combines two point-earning actions. For example, stake a modest amount, do one simulator trade, then join an event task. Track results, learn quickly, and iterate. Small experiments So have to join campaign on @cookiedotfun #Vooiio #cookiedotfun

Compute-time privacy is the unlock most chains still miss Fully Homomorphic Encryption lets contracts compute on encrypted data no leaks, no off-chain trust the crew at @zama_fhe cracked the too slow meme: optimized libraries + FHE VMs, 100x speedups, turning workloads that used to take minutes into on-chain-friendly latencies private AMMs, sealed game state, healthcare or voting rails with confidentiality and verifiability If you build, start small: - pick the VM - size ciphertexts - benchmark latency/gas - ship a POC and iterate I'm eyeing FHE x agents with @playAInetwork next Season 3 of #ZamaCreatorProgram just kicked off what should launch first: DeFi, gaming, or voting? drop your vote and tell me why Where do you see FHE making the biggest impact first?

Day 11: Audit & Security Harden I kicked off Day 11 like prepping a band before a big show. @zama_fhe brings TFHE into fhEVM so computations run over ciphertext, but shipping a product means security can’t rest on math alone. Today’s “audit sprint” framed the system through an attacker’s lens: what if an attestation is forged, a relayer suffers DoS, or a KMS is compromised? Short verdict: the architecture is promising ciphertext-based compute preserves secrecy, attestations provide trust but operational gaps remain. Deliverable: a concise findings report (critical / high / medium / low) plus an actionable remediation list: Harden attestation chain: multi-signature, timestamps, and replay protection. Relayer resilience: circuit breakers, rate limits, and fallback relayer pools. KMS & key ops: threshold keys for decryption, key rotation, and cold root key storage. Attestation diversity: on-chain hash anchors + off-chain logs for cross-audit. Monitoring & canaries: detect anomalous attestations, auto-alerts, and failover. Bottom line: Zama’s FHE stack is a powerful foundation; security is iterative. Today we patched and bolstered; next step is red-team stress tests and continuous monitoring. #Zama #FHE #ZamaCreatorProgram

No bridges. No MEV. That is why I see @PortaltoBitcoin atomic swaps as the new standard. Every cross chain move used to feel risky. Bridges could fail. Wrapped assets were not the real thing. Prices could get nudged by MEV before my trade landed. With Portal the flow is different. Swaps run with HTLCs, so a trade either completes or my funds return. My keys stay mine. My assets stay in my wallet. The experience feels calm. Pick the pair. Check the quote. Confirm. No custodian holding my coins. No bridge waiting room. No surprise slippage from hidden competition. Why choose Portal. Because it solves real cross chain pain with first principles. Trust the code, not a middleman. Atomic execution. Clear rules. Transparent outcomes. If you are unsure, try a small swap today. Feel what it is like when self custody and cross chain finally work together. After that, it is hard to accept anything less. Join on @KaitoAI

Day 8: FHE on Zama: from heavy math to everyday UX FHE lets contracts compute over encrypted data; on @zama_fhe , fhEVM exposes euint/ebool while a coprocessor runs TFHE circuits off chain. The historical bottleneck, bootstrapping, gets tamed with GPU/HPU kernels, vectorization, and ciphertext compression, pushing latency toward interactive ranges. Good UX comes from fewer round trips: bundle multiple operations per job, avoid noisy events, and reveal only minimal metadata. On the client, the SDK handles encryption/decryption and verifies an execution attestation so users trust the math, not the operator. Enterprises can gate access via KMS or threshold keys, granting views of results without exposing raw inputs. When designing, pick the smallest encrypted types that fit, batch arithmetic/compare steps, and keep non-sensitive logic in vanilla EVM. The outcome feels familiar submit, get a receipt, while the actual numbers stay invisible except to authorized parties at the right time. FHE moves from theory to muscle memory, and the Zama Confidential Blockchain Protocol makes that shift usable at product speed. #Zama #FHE #ZamaCreatorProgram Join on @KaitoAI

Day 2: Zama Protocol 101: fhEVM & Coprocessor (understand quickly, do it right away) @zama_fhe Protocol operates as a “confidentiality” layer on top of L1/L2: you still write familiar Solidity but instead of normal integers, sensitive values ​​use encodings like euint/ebool, meaning all calculations take place on ciphertext. When a user sends encrypted data to the contract, the contract delegates the FHE calculation to the coprocessor a coprocessor network that performs addition/subtraction/comparison/exponentiation on the ciphertext and returns the result also in encrypted form with proof/attestation. This flow maintains public verifiability on the chain but avoids data exposure. The relayer/policy layer routes calls, optimizes fees, and applies “programmable confidentiality”: who gets to decrypt and when (e.g., only wallet owners or enterprise KMS). The advantage for developers is composability: the parts that need to be secret use encrypted types, the rest is still regular EVM; gas is paid on-chain while FHE costs are on the coprocessor. Good design means only exposing minimal metadata, while the core value is kept as an encrypted “handle”.

Day 6: RWA and compliance on Zama: disclose just enough to the right party, at the right time Picking up from Day 5, I take our confidential token into real-world assets. Picture a corporate bond encoded on the @zama_fhe Confidential Blockchain Protocol. Investors see coupons arrive on schedule, while balances and histories remain opaque handles. A supervising bank peeks through a narrow window to verify limits and KYC status without touching the exact amounts. Auditors wield a different key to view aggregate payouts, but never the list of individual wallets. Decryption policy is programmable, tied to roles, timing, and context, executed through fhEVM and the coprocessor with attestations so everyone trusts the math. RWA no longer feels like a trade-off between privacy and regulation; it becomes careful stagecraft: sensitive data stays behind the curtain, public verifiability keeps the lights bright. Tomorrow I’ll shift to confidential governance, where outcomes are transparent yet each voter’s choice remains entirely their own. #Zama #FHE #ZamaCreatorProgram

Day 9: Behind the Circuit I remember the first time I opened a circuit diagram for a ZK proof and felt a little lost, like looking at an orchestra score without knowing the instruments. Cysic changed that feeling into something less intimidating. Watching how they break a big, messy computation into neat circuit pieces is a quiet kind of beauty. Each gate, each wire is treated like a small problem to optimize, and the cumulative effect is enormous. What surprised me was how practical the work looks up close. Engineers tune how data flows between stages, fold operations to reduce memory pressure, and run multiple proving lanes in parallel so the whole system doesn’t wait on any single bottleneck. It is not magic; it is patience, measurements, and repeating the small improvements until the whole circuit sings. Sitting with the logs and the low level metrics, I began to appreciate the craft. The math still matters, but the art is in the plumbing. @cysic_xyz approach makes proofs feel less like an academic exercise and more like an engineered product you can trust to run fast, predictably, and at scale. After seeing that, I stopped treating ZK as a mystery and started treating it as a tool I could build with. #Cysicxyz #KAITO