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Why a @bitdealernet app‑chain could standardise revenue reporting in on‑chain gaming Bitdealer’s roadmap envisions a custom app‑chain to handle bonding curves, LP creation and buyback execution. This is more than a technical indulgence; it solves several structural problems in on-chain gaming finance. Unified event stream On Solana today, these actions fire in different programmes and produce disparate logs. An app‑chain can emit standardised events for each step: curve closure, LP minting, buyback calls. Explorers and dashboards can then present a coherent timeline without cross-referencing multiple contracts. Predictable fees A dedicated chain can offer stable, predefined transaction costs for core actions. This improves planning for participants and keeps friction consistent, unlike variable mainnet fees that fluctuate with network load. Throughput for high-frequency gaming Slot games and rapid buybacks generate high transaction volume. A bespoke chain can handle the surge without congesting Solana. It can also permit specialised optimisations such as native buyback instructions, further lowering latency. The move to an app‑chain is slated for post‑2026. As Bitdealer expands into on‑chain gaming, such infrastructure could provide the transparency and scalability needed to track revenue and liquidity actions at scale.

November is shaping up to be a breakout month. The biggest milestone yet for @bitdealernet is finally in sight, with TGE scheduled for this month. The market has cooled as BTC pulls back, yet I’m confident this TGE will land with real momentum, strong participation, clean execution, and a clear path forward. Bullish on @bitdealernet

I like to run a small testnet exercise at night: write a simple “encrypted data processing” contract and measure the user experience. Here’s the lean version you can follow right away. 1. Create a blank project and add a test wallet. 2. Declare encrypted numeric types (for example, euint) and a very basic function, like adding two encrypted inputs. 3. Build a client step that encrypts data before sending; the UI shows a tiny “encrypting…” cue, then moves to signing. 4. Let the contract trigger compute via the co-processing layer; the chain records only a commitment and status. 5. Display “just enough” output: a single aggregate value with a timestamp and commitment ID for lookup, without exposing inputs. 6. Measure click-to-result p95 and keep that number to guide your next round of tuning. With @zama handling compute over encrypted data and threshold-based decryption policy, you can focus on the experience: what is public, what stays private, and whether p95 already feels smooth for users. #ZamaCreatorProgram

🥰 @bitdealernet was electric. Filled in under 10 seconds and it felt like the room knew exactly what it wanted. Here’s why I’m feeling bullish right now ▸ Pledges are still open up to a 15M hardcap, which means day-two momentum can keep building as setups complete ▸ Demand looked prepared, not random clicks, which usually translates into stronger hands at TGE ▸ The structure is clear enough for regulars and newcomers to follow without guesswork Link to join while there’s still room: yaps.kaito.ai/capital-launch… Early speed plus clean rules is a great combo. Next stop is smooth TGE and receipts the community can point to with a smile.

I care most about actions that show alignment, not slogans. Hearing that the team is working directly with Meteora’s developers, and that responsiveness has been strong, matches what I look for in an execution partner. The signal that stands out even more is a treasury decision to acquire tokens on Meteora’s launch day. That is skin in the game, and it turns belief into a position that can be audited. What I will watch closely are the basics that separate conviction from marketing. I want the treasury policy in plain English. I want the purchase wallet disclosed before execution. I want post-trade receipts that anyone can verify on a block explorer. If the position has size limits or a time horizon, that should be written down as well. None of this eliminates risk, but it makes the intention measurable. In the @bitdealernet context, this move only works if it is paired with the same discipline we ask from creators on the platform. Clear rules. Public addresses. Simple reporting. If those pieces are present, the partnership with Meteora reads as a real step, not a headline. If you want, I can draft a one-page transparency checklist for treasury actions so the community can review policy, execution, and links in one place.

cùng thảo luận về @zama nhé anh em! Mỗi lần xem số liệu, mình luôn bắt đầu từ 3 câu hỏi đơn giản: có ai dùng thật không, hệ có khoẻ không, và cảm giác nhanh chậm ra sao. Với hệ tích hợp Zama, bạn có thể đọc mấy bảng số quen thuộc mà vẫn tôn trọng riêng tư. Trên Dune hoặc trang thống kê nội bộ, mình nhìn “ngày nhiều nhất” và “xu hướng 7 ngày” để tránh bị ảo giác vì một đợt spike. Activity ổn thì tính năng có khách thật. Reliability mình kiểm các chỉ báo thành công theo phiên và tỉ lệ lỗi. Nếu phần trăm lỗi nhích lên trong vài ngày, đừng vội tối ưu tính năng mới, hãy quay lại luồng chính. Latency thì coi p50, p95, p99. Người dùng nhớ cảm giác chậm ở đuôi p95 nhiều hơn là mức trung bình. Nếu p95 vượt ngưỡng bạn đặt, gom bớt thao tác thành một lượt compute, giữ nhịp cập nhật cố định và log ở mức tối thiểu (commitment ID, thời điểm, trạng thái). Testnet explorer giúp kiểm tra nhanh “có giao dịch không” và “đã ghi dấu cam kết chưa”. Trang trạng thái cho biết dịch vụ nào đang bảo trì. Bạn chỉ cần ba thói quen nhỏ: xem xu hướng thay vì một điểm, so p95 trước và sau mỗi thay đổi, và ghi rõ cái gì công khai, cái gì giữ kín. Phần còn lại, nền tảng có Zama sẽ lo chuyện tính trên dữ liệu mã hoá để kết quả vẫn kiểm chứng được. #ZamaCreatorProgram

Mình dùng @Infinit_Labs để rút ngắn khoảng cách giữa “đã thông qua” và “đã làm xong” trong DAO. Cách mình triển khai ba quy trình lặp lại nhất: 1. Chi payout hằng tháng Chốt danh sách, số tiền, lịch chi. INFINIT tạo bản xem trước: token vào/ra, phí, ngưỡng minimum received, venue. Kiểm tra xong thì ký một lần, treasury vẫn giữ toàn quyền. Nhật ký hậu giao dịch lưu lại số liệu để đối soát. 2. Grants theo mốc Đặt điều kiện hoàn thành ngay từ đầu. Khi chưa đạt mốc, tác nhân để “chờ”; đạt mốc thì thực thi theo kế hoạch đã mô phỏng. Mọi bước đều có ghi nhận để team và cộng đồng kiểm tra. 3. Quản lý thanh khoản treasury INFINIT so sánh APR ròng sau chi phí, độ sâu thanh khoản, thời gian xác nhận. Đề xuất điều chỉnh vị thế kèm bản xem trước từng lệnh. Mình rà nhanh giả định, chốt phương án, ký một lần. Điểm chung của cả ba trường hợp: INFINIT cho mình thấy rõ từng bước trước khi ký, thực thi gọn trong một giao dịch, và luôn để lại dấu vết đầy đủ để kiểm chứng sau này.

I’ve shipped on rollups long enough to spot when interoperability is duct-taped versus designed. On @zksync, the Elastic Network finally feels like cross-chain that is native and practical for builders, with interop verified cryptographically at the protocol layer, not through third-party bridges. 1. From one rollup to a network ZKsync evolved into an Elastic Network where chains interoperate at the protocol layer. The ZK Stack gives me a consistent blueprint to launch a chain that speaks the same language as others from day one. 2. Modularity I can actually compose The stack separates proving, execution, and messaging into standard components I can assemble instead of reinventing. Because chains share proof formats and interfaces, state and messages are verified cryptographically and anchored to Ethereum rather than routed through third-party bridges. 3. Why native interop beats bridges Traditional bridges add extra trust assumptions and operational overhead that many teams cannot accept. With Elastic interop, one chain verifies another’s state using zero-knowledge proofs, so cross-chain calls inherit protocol-level security and keep the attack surface small. 4. What this unlocks for teams and scale You can scale horizontally with specialized ZK chains that coordinate by default while retaining Ethereum-level security via zkRollup. Tell me what you’re building and I’ll outline which ZK Stack modules to start with and how to connect your chain to the Elastic Network.

Why is @bitdealernet trending? Going first. Clarity is why this is trending. What stands out is how decisions are made visible. locked LP, clear fee math, and simple reports turn claims into things anyone can check. A TGE on the calendar adds focus, and the Kaito sale structure shows real care for launch-day stability. Weekly contribution loops keep momentum honest. In short, attention is following execution. Bitdealer is trending because transparency is finally the headline, not hype.

I measure good health communities by two things: people feel safe to speak, and their effort compounds over time. With @0xhealthshared’s Health Protocol, lived experiences become anonymised, on-chain insight and a repeatable engine for co-creation that communities can actually run. 1) What Health Protocol is Health Protocol is a decentralised network that turns conversations, interviews, and reflections into anonymised, on-chain signals. Stories are guided by experts so outputs stay both warm and credible, not just raw data. 2) What makes it different The Community Engine (Health-Shared Platform) automates discovery, prompting, editing, and scheduling, so coordination stops being the bottleneck. That structure fosters belonging because members know how to participate and what “good” looks like from day one. 3) How trust and transparency work The Health Scorecard records anonymised engagement and activation on-chain, giving partners a transparent view of measurable impact. Individuals keep control of their stories while communities still demonstrate real progress. 4) How to start in practice OG Health Agents kick off the pipeline and guide quality as the community grows. Share your community’s first topic and your top constraint (privacy, moderation, or time). I will return a 3-step, 48-hour kickoff plan using the Community Engine plus the Scorecard signals to track from day one.

Quoting @GenLayer’s Hackathon → x.com/GenLayer/statu… I’m excited because GenLayer treats intelligence as a protocol feature. It’s the first Intelligent Blockchain where contracts can understand natural language, access the web, and reach AI-based consensus on subjective outcomes, which changes how we build onchain. What I want to see people hack Prediction markets that can resolve gray areas with evaluators and evidence, not just binary oracles. AI governance where agent assistants draft, simulate, and execute proposals with guardrails. Future-of-work systems that stream pay only after onchain performance is verified. Onchain justice that mixes AI case synthesis with human review for subjective enforcement. AI gaming where agent teams coordinate and adapt in live social environments. Teams I’m keen to see build @RallyOnChain pressure-testing onchain coordination and AI scoring under real incentives. @Kleros_io exploring AI-assisted evidence synthesis and juror tooling for subjective outcomes. @UMAprotocol launching evaluator-driven prediction markets with clear resolution criteria. @Superfluid_HQ wiring milestone-aware payment streams for the “future of work.” @GnosisGuild pushing agent-authored proposals with safe, auditable execution paths. If you’ve got a concept in mind Quote the announcement with your idea and the constraint that matters most to you (audit, latency, safety). I’ll help sketch a minimal scope or Knowledge Base that fits the Hackathon tracks so you can start fast.

I’ve wanted on-chain games where the rulebook is public and the judge is verifiable. Quoting @GenLayer’s Unstoppable Alpha → x.com/GenLayer/statu… Unstoppable.fun runs fully on GenLayer’s Intelligent Blockchain with AI consensus. It is an AI-judged platform with transparent, immutable outcomes. AI Guardian is live: one attempt, rules are public, the AI judges instantly, and results are recorded on-chain, no middlemen and no hidden odds. @nstopfun Creators can launch their own challenges with verifiable outcomes so anyone can build and play. It is on testnet with no real token value, collecting feedback before mainnet and expanding with new templates soon. What 30-second skill check would you design? Share your rule and win condition, and I will try to beat it.

Giảm front-running trong swap riêng tư với @zama_fhe Mình gặp nhiều đội lo lắng về việc lệnh bị soi trước khi khớp, nên mình chọn cách giữ lệnh kín suốt quá trình khớp để giảm cơ hội front-running ⚡ • Thứ nên công khai: kết quả cuối cùng đủ để người dùng kiểm tra, như số lượng nhận được và phí. • Thứ nên giữ kín: chi tiết lệnh và trạng thái tạm thời của pool trong khoảng thời gian khớp. • Nhịp xử lý rõ ràng: gom lệnh theo khoảng thời gian cố định, công bố kết quả sau mỗi lượt để ai cũng hiểu diễn biến. • Trải nghiệm đơn giản: người dùng gửi lệnh một lần, ứng dụng xử lý phần “kín”, cuối cùng hiện kết quả minh bạch. Hãy thử phác lệnh swap bạn đang có và mình sẽ giúp chỉnh thành phiên bản riêng tư dùng Zama để bạn test cảm giác giao dịch công bằng hơn. #ZamaCreatorProgram

Having a Say in @bitdealernet Holding $BIT is not just about staking or perks. It also means you get a voice in how the platform grows. - Vote on launch rules, staking settings, and new features. - All votes happen on-chain, so everything is transparent. - No single group controls the direction. The community does. That is the difference. Here, holders are not just along for the ride. They help steer it.

Thế là chỉ còn 3 ngày nữa là hết thúc ss3 của @zama_fhe rồi cố gắn nhé ae! chúc ae đạt top 1k nhé! Lập trình Solidity vẫn giữ nguyên, chỉ thêm vài kiểu dữ liệu để xử lý thông tin ở dạng mã hoá; trải nghiệm quen thuộc cho dev trên EVM khi dùng nền tảng @zama_fhe. • euint dùng cho số nguyên ở trạng thái mã hoá, vẫn cộng trừ nhân chia như thường ở mức cần thiết • ebool dùng cho đúng sai ở dạng mã hoá, giúp so sánh rồi “chọn” kết quả mà không lộ điều kiện • Luồng xử lý giữ đơn giản: dữ liệu được mã hoá ở phía người dùng, hợp đồng thao tác trên ciphertext, phần tính nặng do hạ tầng đảm nhiệm • Nhật ký chỉ nên ghi cam kết và kết quả tổng hợp, không cần chi tiết trung gian Mục tiêu là viết code giống cách quen thuộc, còn riêng tư được đảm bảo bởi cơ chế sẵn có của Zama. #ZamaCreatorProgram

Storage internals of @idOS_network Here is how I understand the storage side, with a few concrete facts that matter. - Network model: currently runs as a permissioned storage network operated by vetted parties, with a stated plan to progressively open participation while preserving privacy and reliability. - Core stack: storage nodes are built on a distributed relational database stack centered on Kwil, chosen for transactional integrity and queryability rather than putting sensitive payloads on a public chain. - Gateway layer: a KGW gateway fronts the cluster and issues short-lived access cookies so I do not have to sign every read request, reducing friction without exposing plaintext to operators. - Encryption at the edge: data is encrypted on my device before it ever reaches the network, using modern authenticated asymmetric encryption primitives in the X25519 plus AEAD family. Nodes only store ciphertext. - Field-level sharing: when I share, the client decrypts to me and re-encrypts for the intended recipient. The system writes a new “shared” credential referencing the original so consent is enforced cryptographically. - Deletion and compliance: because data lives off chain, the design can support verifiable deletion and regional retention rules, which aligns with GDPR’s right to be forgotten. - Auditability: every access goes through explicit grants and is reflected in logs so I can see who read what and when. - Threat posture: browsers and gateways are the main attack surfaces to harden. The model assumes no node sees plaintext, so client isolation and key handling are critical. My takeaway: keep secrets off chain, encrypt at the edge, mediate access with grants, and you get a storage layer that respects privacy while staying practical for real-world compliance.

Why a @bitdealernet app‑chain could standardise revenue reporting in on‑chain gaming Bitdealer’s roadmap envisions a custom app‑chain to handle bonding curves, LP creation and buyback execution. This is more than a technical indulgence; it solves several structural problems in on-chain gaming finance. Unified event stream On Solana today, these actions fire in different programmes and produce disparate logs. An app‑chain can emit standardised events for each step: curve closure, LP minting, buyback calls. Explorers and dashboards can then present a coherent timeline without cross-referencing multiple contracts. Predictable fees A dedicated chain can offer stable, predefined transaction costs for core actions. This improves planning for participants and keeps friction consistent, unlike variable mainnet fees that fluctuate with network load. Throughput for high-frequency gaming Slot games and rapid buybacks generate high transaction volume. A bespoke chain can handle the surge without congesting Solana. It can also permit specialised optimisations such as native buyback instructions, further lowering latency. The move to an app‑chain is slated for post‑2026. As Bitdealer expands into on‑chain gaming, such infrastructure could provide the transparency and scalability needed to track revenue and liquidity actions at scale.

November is shaping up to be a breakout month. The biggest milestone yet for @bitdealernet is finally in sight, with TGE scheduled for this month. The market has cooled as BTC pulls back, yet I’m confident this TGE will land with real momentum, strong participation, clean execution, and a clear path forward. Bullish on @bitdealernet

I like to run a small testnet exercise at night: write a simple “encrypted data processing” contract and measure the user experience. Here’s the lean version you can follow right away. 1. Create a blank project and add a test wallet. 2. Declare encrypted numeric types (for example, euint) and a very basic function, like adding two encrypted inputs. 3. Build a client step that encrypts data before sending; the UI shows a tiny “encrypting…” cue, then moves to signing. 4. Let the contract trigger compute via the co-processing layer; the chain records only a commitment and status. 5. Display “just enough” output: a single aggregate value with a timestamp and commitment ID for lookup, without exposing inputs. 6. Measure click-to-result p95 and keep that number to guide your next round of tuning. With @zama handling compute over encrypted data and threshold-based decryption policy, you can focus on the experience: what is public, what stays private, and whether p95 already feels smooth for users. #ZamaCreatorProgram

🥰 @bitdealernet was electric. Filled in under 10 seconds and it felt like the room knew exactly what it wanted. Here’s why I’m feeling bullish right now ▸ Pledges are still open up to a 15M hardcap, which means day-two momentum can keep building as setups complete ▸ Demand looked prepared, not random clicks, which usually translates into stronger hands at TGE ▸ The structure is clear enough for regulars and newcomers to follow without guesswork Link to join while there’s still room: yaps.kaito.ai/capital-launch… Early speed plus clean rules is a great combo. Next stop is smooth TGE and receipts the community can point to with a smile.

I care most about actions that show alignment, not slogans. Hearing that the team is working directly with Meteora’s developers, and that responsiveness has been strong, matches what I look for in an execution partner. The signal that stands out even more is a treasury decision to acquire tokens on Meteora’s launch day. That is skin in the game, and it turns belief into a position that can be audited. What I will watch closely are the basics that separate conviction from marketing. I want the treasury policy in plain English. I want the purchase wallet disclosed before execution. I want post-trade receipts that anyone can verify on a block explorer. If the position has size limits or a time horizon, that should be written down as well. None of this eliminates risk, but it makes the intention measurable. In the @bitdealernet context, this move only works if it is paired with the same discipline we ask from creators on the platform. Clear rules. Public addresses. Simple reporting. If those pieces are present, the partnership with Meteora reads as a real step, not a headline. If you want, I can draft a one-page transparency checklist for treasury actions so the community can review policy, execution, and links in one place.

cùng thảo luận về @zama nhé anh em! Mỗi lần xem số liệu, mình luôn bắt đầu từ 3 câu hỏi đơn giản: có ai dùng thật không, hệ có khoẻ không, và cảm giác nhanh chậm ra sao. Với hệ tích hợp Zama, bạn có thể đọc mấy bảng số quen thuộc mà vẫn tôn trọng riêng tư. Trên Dune hoặc trang thống kê nội bộ, mình nhìn “ngày nhiều nhất” và “xu hướng 7 ngày” để tránh bị ảo giác vì một đợt spike. Activity ổn thì tính năng có khách thật. Reliability mình kiểm các chỉ báo thành công theo phiên và tỉ lệ lỗi. Nếu phần trăm lỗi nhích lên trong vài ngày, đừng vội tối ưu tính năng mới, hãy quay lại luồng chính. Latency thì coi p50, p95, p99. Người dùng nhớ cảm giác chậm ở đuôi p95 nhiều hơn là mức trung bình. Nếu p95 vượt ngưỡng bạn đặt, gom bớt thao tác thành một lượt compute, giữ nhịp cập nhật cố định và log ở mức tối thiểu (commitment ID, thời điểm, trạng thái). Testnet explorer giúp kiểm tra nhanh “có giao dịch không” và “đã ghi dấu cam kết chưa”. Trang trạng thái cho biết dịch vụ nào đang bảo trì. Bạn chỉ cần ba thói quen nhỏ: xem xu hướng thay vì một điểm, so p95 trước và sau mỗi thay đổi, và ghi rõ cái gì công khai, cái gì giữ kín. Phần còn lại, nền tảng có Zama sẽ lo chuyện tính trên dữ liệu mã hoá để kết quả vẫn kiểm chứng được. #ZamaCreatorProgram

Mình dùng @Infinit_Labs để rút ngắn khoảng cách giữa “đã thông qua” và “đã làm xong” trong DAO. Cách mình triển khai ba quy trình lặp lại nhất: 1. Chi payout hằng tháng Chốt danh sách, số tiền, lịch chi. INFINIT tạo bản xem trước: token vào/ra, phí, ngưỡng minimum received, venue. Kiểm tra xong thì ký một lần, treasury vẫn giữ toàn quyền. Nhật ký hậu giao dịch lưu lại số liệu để đối soát. 2. Grants theo mốc Đặt điều kiện hoàn thành ngay từ đầu. Khi chưa đạt mốc, tác nhân để “chờ”; đạt mốc thì thực thi theo kế hoạch đã mô phỏng. Mọi bước đều có ghi nhận để team và cộng đồng kiểm tra. 3. Quản lý thanh khoản treasury INFINIT so sánh APR ròng sau chi phí, độ sâu thanh khoản, thời gian xác nhận. Đề xuất điều chỉnh vị thế kèm bản xem trước từng lệnh. Mình rà nhanh giả định, chốt phương án, ký một lần. Điểm chung của cả ba trường hợp: INFINIT cho mình thấy rõ từng bước trước khi ký, thực thi gọn trong một giao dịch, và luôn để lại dấu vết đầy đủ để kiểm chứng sau này.

Why is @bitdealernet trending? Going first. Clarity is why this is trending. What stands out is how decisions are made visible. locked LP, clear fee math, and simple reports turn claims into things anyone can check. A TGE on the calendar adds focus, and the Kaito sale structure shows real care for launch-day stability. Weekly contribution loops keep momentum honest. In short, attention is following execution. Bitdealer is trending because transparency is finally the headline, not hype.

I’ve wanted on-chain games where the rulebook is public and the judge is verifiable. Quoting @GenLayer’s Unstoppable Alpha → x.com/GenLayer/statu… Unstoppable.fun runs fully on GenLayer’s Intelligent Blockchain with AI consensus. It is an AI-judged platform with transparent, immutable outcomes. AI Guardian is live: one attempt, rules are public, the AI judges instantly, and results are recorded on-chain, no middlemen and no hidden odds. @nstopfun Creators can launch their own challenges with verifiable outcomes so anyone can build and play. It is on testnet with no real token value, collecting feedback before mainnet and expanding with new templates soon. What 30-second skill check would you design? Share your rule and win condition, and I will try to beat it.

I measure good health communities by two things: people feel safe to speak, and their effort compounds over time. With @0xhealthshared’s Health Protocol, lived experiences become anonymised, on-chain insight and a repeatable engine for co-creation that communities can actually run. 1) What Health Protocol is Health Protocol is a decentralised network that turns conversations, interviews, and reflections into anonymised, on-chain signals. Stories are guided by experts so outputs stay both warm and credible, not just raw data. 2) What makes it different The Community Engine (Health-Shared Platform) automates discovery, prompting, editing, and scheduling, so coordination stops being the bottleneck. That structure fosters belonging because members know how to participate and what “good” looks like from day one. 3) How trust and transparency work The Health Scorecard records anonymised engagement and activation on-chain, giving partners a transparent view of measurable impact. Individuals keep control of their stories while communities still demonstrate real progress. 4) How to start in practice OG Health Agents kick off the pipeline and guide quality as the community grows. Share your community’s first topic and your top constraint (privacy, moderation, or time). I will return a 3-step, 48-hour kickoff plan using the Community Engine plus the Scorecard signals to track from day one.

Quoting @GenLayer’s Hackathon → x.com/GenLayer/statu… I’m excited because GenLayer treats intelligence as a protocol feature. It’s the first Intelligent Blockchain where contracts can understand natural language, access the web, and reach AI-based consensus on subjective outcomes, which changes how we build onchain. What I want to see people hack Prediction markets that can resolve gray areas with evaluators and evidence, not just binary oracles. AI governance where agent assistants draft, simulate, and execute proposals with guardrails. Future-of-work systems that stream pay only after onchain performance is verified. Onchain justice that mixes AI case synthesis with human review for subjective enforcement. AI gaming where agent teams coordinate and adapt in live social environments. Teams I’m keen to see build @RallyOnChain pressure-testing onchain coordination and AI scoring under real incentives. @Kleros_io exploring AI-assisted evidence synthesis and juror tooling for subjective outcomes. @UMAprotocol launching evaluator-driven prediction markets with clear resolution criteria. @Superfluid_HQ wiring milestone-aware payment streams for the “future of work.” @GnosisGuild pushing agent-authored proposals with safe, auditable execution paths. If you’ve got a concept in mind Quote the announcement with your idea and the constraint that matters most to you (audit, latency, safety). I’ll help sketch a minimal scope or Knowledge Base that fits the Hackathon tracks so you can start fast.

I’ve shipped on rollups long enough to spot when interoperability is duct-taped versus designed. On @zksync, the Elastic Network finally feels like cross-chain that is native and practical for builders, with interop verified cryptographically at the protocol layer, not through third-party bridges. 1. From one rollup to a network ZKsync evolved into an Elastic Network where chains interoperate at the protocol layer. The ZK Stack gives me a consistent blueprint to launch a chain that speaks the same language as others from day one. 2. Modularity I can actually compose The stack separates proving, execution, and messaging into standard components I can assemble instead of reinventing. Because chains share proof formats and interfaces, state and messages are verified cryptographically and anchored to Ethereum rather than routed through third-party bridges. 3. Why native interop beats bridges Traditional bridges add extra trust assumptions and operational overhead that many teams cannot accept. With Elastic interop, one chain verifies another’s state using zero-knowledge proofs, so cross-chain calls inherit protocol-level security and keep the attack surface small. 4. What this unlocks for teams and scale You can scale horizontally with specialized ZK chains that coordinate by default while retaining Ethereum-level security via zkRollup. Tell me what you’re building and I’ll outline which ZK Stack modules to start with and how to connect your chain to the Elastic Network.

Giảm front-running trong swap riêng tư với @zama_fhe Mình gặp nhiều đội lo lắng về việc lệnh bị soi trước khi khớp, nên mình chọn cách giữ lệnh kín suốt quá trình khớp để giảm cơ hội front-running ⚡ • Thứ nên công khai: kết quả cuối cùng đủ để người dùng kiểm tra, như số lượng nhận được và phí. • Thứ nên giữ kín: chi tiết lệnh và trạng thái tạm thời của pool trong khoảng thời gian khớp. • Nhịp xử lý rõ ràng: gom lệnh theo khoảng thời gian cố định, công bố kết quả sau mỗi lượt để ai cũng hiểu diễn biến. • Trải nghiệm đơn giản: người dùng gửi lệnh một lần, ứng dụng xử lý phần “kín”, cuối cùng hiện kết quả minh bạch. Hãy thử phác lệnh swap bạn đang có và mình sẽ giúp chỉnh thành phiên bản riêng tư dùng Zama để bạn test cảm giác giao dịch công bằng hơn. #ZamaCreatorProgram

Having a Say in @bitdealernet Holding $BIT is not just about staking or perks. It also means you get a voice in how the platform grows. - Vote on launch rules, staking settings, and new features. - All votes happen on-chain, so everything is transparent. - No single group controls the direction. The community does. That is the difference. Here, holders are not just along for the ride. They help steer it.

Thế là chỉ còn 3 ngày nữa là hết thúc ss3 của @zama_fhe rồi cố gắn nhé ae! chúc ae đạt top 1k nhé! Lập trình Solidity vẫn giữ nguyên, chỉ thêm vài kiểu dữ liệu để xử lý thông tin ở dạng mã hoá; trải nghiệm quen thuộc cho dev trên EVM khi dùng nền tảng @zama_fhe. • euint dùng cho số nguyên ở trạng thái mã hoá, vẫn cộng trừ nhân chia như thường ở mức cần thiết • ebool dùng cho đúng sai ở dạng mã hoá, giúp so sánh rồi “chọn” kết quả mà không lộ điều kiện • Luồng xử lý giữ đơn giản: dữ liệu được mã hoá ở phía người dùng, hợp đồng thao tác trên ciphertext, phần tính nặng do hạ tầng đảm nhiệm • Nhật ký chỉ nên ghi cam kết và kết quả tổng hợp, không cần chi tiết trung gian Mục tiêu là viết code giống cách quen thuộc, còn riêng tư được đảm bảo bởi cơ chế sẵn có của Zama. #ZamaCreatorProgram

Storage internals of @idOS_network Here is how I understand the storage side, with a few concrete facts that matter. - Network model: currently runs as a permissioned storage network operated by vetted parties, with a stated plan to progressively open participation while preserving privacy and reliability. - Core stack: storage nodes are built on a distributed relational database stack centered on Kwil, chosen for transactional integrity and queryability rather than putting sensitive payloads on a public chain. - Gateway layer: a KGW gateway fronts the cluster and issues short-lived access cookies so I do not have to sign every read request, reducing friction without exposing plaintext to operators. - Encryption at the edge: data is encrypted on my device before it ever reaches the network, using modern authenticated asymmetric encryption primitives in the X25519 plus AEAD family. Nodes only store ciphertext. - Field-level sharing: when I share, the client decrypts to me and re-encrypts for the intended recipient. The system writes a new “shared” credential referencing the original so consent is enforced cryptographically. - Deletion and compliance: because data lives off chain, the design can support verifiable deletion and regional retention rules, which aligns with GDPR’s right to be forgotten. - Auditability: every access goes through explicit grants and is reflected in logs so I can see who read what and when. - Threat posture: browsers and gateways are the main attack surfaces to harden. The model assumes no node sees plaintext, so client isolation and key handling are critical. My takeaway: keep secrets off chain, encrypt at the edge, mediate access with grants, and you get a storage layer that respects privacy while staying practical for real-world compliance.