Recently researching Midnight, I have been quite troubled by numerous technical points. I also watched the official Midnight Developer Academy. @MidnightNetwork has opened this developer training camp to help developers better understand the technology of #night , which is also a preparation for the mainnet launch, with a clear goal: to turn the originally obscure ZK (Zero-Knowledge Proof) development into a skill that even Web2 developers can handle.
The core teaching material of the academy is the Compact language. The smartest aspect of this language is that it completely reuses the syntax habits of TypeScript, but at the bottom, it can automatically convert the code logic into the cryptographic components required for zero-knowledge proofs. During my research, I found that it breaks down the development process into “ledger context,” “circuit context,” and “witness context.” This design allows you to clearly define which data is publicly on-chain and which is locally private when writing code, without needing to struggle with complex cryptographic formulas.
In addition to language learning, the academy also offers a complete practical path. From the most basic development environment setup (including Docker proof server and VS Code plugins) to writing practical contracts like Tug of War or token minting, it almost guides you step by step through the operation logic of the mainnet. What impressed me the most was its teaching of the DUST token model, where it will teach you how to reduce redundant circuit constraints by optimizing code, thereby lowering DUST consumption during transactions. $NIGHT
If you are a Builder aspiring to privacy development, this academy is more like a pass. Through the challenges inside, you can not only earn badges like Midnight Explorer, but more importantly, you can master the business logic of “default privacy, disclosure on demand” ahead of others.
$NIGHT Recently, while keeping an eye on the progress of Midnight's mainnet, I discovered a technology point called ZSwap that has been discussed extensively. Many people simply understand it as a 'privacy version of Uniswap', but after I thoroughly reviewed its technical documentation over the past few days and compared it with the implementation of the Kachina protocol, I found that its ambitions go far beyond that. Let me explain briefly: traditional on-chain transactions are completely exposed to the light of day: your address, trading pair, amount, and even slippage settings are all visible on the chain. This gives MEV bots (commonly known as 'sandwich bots') the opportunity to exploit it, as they can directly front-run your transactions by monitoring the mempool. ZSwap introduces a non-interactive multi-asset exchange mechanism based on an improved version of the Zerocash protocol. Its core logic is: transaction data and signatures are separated. You generate a ZK-SNARKs proof locally that proves 'I have enough assets and meet the exchange logic', but does not disclose to the network how much you exchanged or what you exchanged for.
If you've recently been browsing the technical community of Midnight or, like me, keeping an eye on its mainnet progress, you can't miss the term Midnight City.
Simply put, Midnight City is not a real city; it is a large-scale, highly realistic "mainnet simulation environment" created by IOG@MidnightNetwork in anticipation of the mainnet launch in March 2026. This is a "real-world sandbox" before the mainnet goes live. In this simulation environment, which officially started on February 26, the team has packed in complex business logic and massive concurrency to see if the Kachina protocol can withstand extreme pressure.
What impressed me the most were those few "hard metrics." First is the latency in proof generation, which is the lifeblood of privacy chains. If you buy an asset in the simulation environment and the ZK proof takes 30 seconds to generate, institutional investors will definitely not buy in. I've been testing data under different hardware setups just to see if it can achieve sub-second generation. Unfortunately, with my computer's configuration, it takes over 10 seconds, which is a common issue with privacy proofs: sacrificing performance for privacy. The experience of #night is considered quite good among similar products. Next is that headache-inducing DUST model; I've been repeatedly calling the contract at high frequency to test its regeneration speed and Cap limit, to prevent the mainnet from crashing due to "running out of fuel" as soon as it goes live. $NIGHT
To be honest, don't treat Midnight City as an ordinary Devnet for leading waters, and don't be fooled by its game-like interface. In my eyes, Midnight City is more like a "minefield" before the mainnet. I'm keeping an eye on the response times of federated nodes like Google Cloud and Blockdaemon, observing the real throughput of the "dual mining" logic on the hardware. If your contract logic is too bloated, the DUST mechanism will directly teach you a lesson here.
Looking at the three views of Midnight, how to build a privacy kingdom
In the afternoon, I spent more than two hours studying the Midnight Kachina protocol. I found something interesting; this protocol treats users' privacy as a black box, providing different people with different opportunities to touch the elephant blindfolded. Each perspective gets the desired information, but the information obtained from different perspectives does not provide the full picture. As a developer who deals with ZK constraints all day, I must admit that Midnight's design of 'Selective Disclosure' is indeed very impactful. Many people are unclear about what the 'rational privacy' of @MidnightNetwork really is? I have broken down its underlying logic into three layers of views. From these three views, how does Midnight create a privacy empire?
I have seen many people analyzing Midnight at Binance Square. During this time, I have been studying the official latest development documents for @MidnightNetwork , and combined with my experience from running on the testnet, I have discovered three explosive opportunities:
The first is "Proving SaaS". This is currently the biggest pain point. The generation of ZK proofs is too resource-intensive; ordinary mobile users looking to perform a privacy transfer could be deterred just by the computational power required. I am researching whether we can create a distributed #night proof acceleration layer to help those low-spec devices offload the proof calculations, which is definitely a must-have.
The second is "DiD" (Decentralized Identity). Midnight's underlying support for "selective disclosure" allows for a scenario where users only need to prove they are "certified qualified investors" without having to upload their bank statements to the blockchain. This is the missing piece for institutional-level DeFi participants looking to enter the market now.
The third is "Dark Pools" (private order books). In traditional blockchains, large investors buying coins can be front-run in various ways (MEV). However, on Midnight, the trading logic is private, and only the results are visible. This is a game-changer for protecting large arbitrage strategies.
Many people complain about cross-chain complexities, but I have looked at LayerZero's intervention plan, where they are trying to use "reputation collateral + economic guarantees" to exchange for efficiency. This means that in the future, when playing Uniswap on Ethereum, the backend might be invoking Midnight's privacy logic.
My suggestion is: don't just focus on the secondary market of $NIGHT . Take a look at Compact (Midnight's contract language); it mimics TypeScript and has a very low entry barrier. If you want to share in the privacy wave in 2026, the current testnet is your best training ground.
Midnight Mainnet Launch Countdown: As one of the first developers, why do I keep jumping between Partner Chain and L2?
The genesis block of the last week of March 2026 is getting closer. Recently, I just ran the Midnight Kachina protocol in my local environment. To be honest, this feels completely different from my previous experience running L2 Rollup on Ethereum. Many people ask me, why not directly make it L2, instead of creating a Partner Chain? At first, I thought this was just reinventing the wheel. But when I tried to deploy an application involving "sensitive medical data sharing," I realized IOG's ambition: the security of L2 is tied to the mainnet, but its privacy is often also "transparent."
After discussing the architecture of Midnight, let me talk about something more down to earth: practical experience. Many developers fantasize about running privacy applications on Midnight and then seamlessly bridging to Ethereum for liquidity. I have to pour a bucket of cold water first to help you calm down. A heartbreaking logical paradox: you want to maintain privacy, but the Ethereum mainnet requires verification of your asset sources, how does that work? I have broken down the three cross-chain solutions for @MidnightNetwork , which are also widely used by many blockchain projects, but I can only say that each has its shortcomings, and currently, there seems to be no perfect solution to these problems. Solution A: Bridge nodes directly penetrate privacy. This is the simplest but also the most ironic. Assets are not meant to be hidden away; most people's goal is still to let assets flow and appreciate. You may hide them well in #night , but when you reach the cross-chain bridge, everything leaks out. What to do then? The privacy gained from hard work is completely compromised at one link, and I would also feel a bit overwhelmed. Solution B: ZK recursive proof. Theoretically the best, using proof to prove "the validity of the proof." But reality is harsh; this kind of computational load is outrageous and consumes too many resources. I have practical experience with similar circuits, and if your device is not a top-tier workstation, just generating a proof can heat up your phone. Mobile users can basically forget about it. Solution C: Economic guarantees. This is the path that LayerZero might choose. Not relying on math, but on collateral. As long as the verifier does not lie, you have to trust them. But this is still a "trust game"; where is the pure cryptographic guarantee? What worries me even more is the black box of Proof Generation. IOG has not yet disclosed the specific model. Is it calculated locally on the user's device? Or sent to a server for calculation? If it is sent to a server, before the verifier helps you generate the proof, have they already secretly "pre-recorded" your original data? Such critical technical decisions are surprisingly not clearly stated in the documentation, which is regrettable. Ultimately, it still comes down to trust; people are used to the public transparency of traditional blockchains, which is hard to fake, and will naturally demand higher standards from new projects. Doubts are inevitable; don’t let it become a situation where privacy is preserved, but the assets are lost, that would be too funny. $NIGHT
The Truth Behind Midnight's "Partner Chain": Are You Trying to Escape Surveillance or Working for Google?
These days, I took some time to study Midnight again and figured out its Partner Chain architecture scheme. After watching it, I can only describe it with one word: vacuum spherical chicken—too idealistic. In the past, when people discussed privacy, they always felt it was a cryptography issue. But here at Midnight, it has been transformed into an "administrative management" issue. I found that many people are still too lenient in discussing the architecture of @MidnightNetwork and even have a bit of blind optimism. It did not choose the currently mainstream L2 Rollup, but rather opted for an extremely flashy Partner Chain path. This is not just a technical choice; it's a "big move" in the underlying trust logic.
I tried Midnight's test network. Overall, it has its merits.
In the past few days, I spent a lot of time on Midnight's test network. Getting familiar with the compact language wasn't very difficult, and handling state changes similar to Solidity is also easy. I tried deploying a contract on the test network, which can be completed automatically in the background, saving a lot of time. These are the advantages, but the compiled contract size exceeds 100m, making it a bit inconvenient to manage these resources. I went to the official website to check the documentation, which is still not very complete. The official toolchain often throws some exception messages that are not very clear, making it difficult to locate the issues, which is a bit of a headache for me. Debugging really consumes a person's patience.
Yesterday's #night spot event actually still has more than 70,000 places available
So many people haven't seen it yet?
Maximum 12u, minimum 2u, average 6u, it's basically giving away money for free Trading 500u also allows you to draw a prize in the monthly challenge, it's simply a win
@MidnightNetwork This wave is impressive, various activities are fully loaded, it has a vision
I stayed up all night reviewing the NIGHT project's materials, this is indeed a good project.
$NIGHT is a privacy public chain project, its goal is to subvert the traditional public chain's paradigm and change the current situation where transparency on the chain lacks privacy. It allows institutions and users on the NIGHT chain to take control of information disclosure. Zero-knowledge proofs achieve data encryption from the algorithm's core, so you no longer have to worry about your on-chain behavior being exposed.
Moreover, NIGHT has also designed a dual-token model, with DUST serving as the fuel on the chain, generated by NIGHT, consumed only and non-transferable, ensuring that the cost of on-chain activities is controllable, without the need for gas prices to skyrocket like other public chains when the coin price rises, truly allowing you to trade on the chain without worries.
After reviewing so much of his materials, I feel this is a very promising project, and everyone should pay more attention to it.
Recently, many friends have expressed that this alpha scoring is too tight. Originally, there aren't many airdrops now, and if they tighten it up a bit more, let's not even talk about profits, it could be a loss at any time. As a veteran deeply involved in alpha (I estimate my earnings on alpha to be over 8000 dollars, but I haven't calculated it precisely), I have experienced the ups and downs of alpha all the way, from the initial interactions with random airdrops, participating in TGE with no conditions at all, as long as you have a Binance wallet to get in on the new offering, to the later trading competitions and points system, from previous on-chain trading to future limit order trading, I have done it all and have been researching how to accurately control costs.
The 'deadlock' of privacy and compliance has been unraveled by Midnight's dual-token model.
If I may say, if you are the technical head of a financial institution preparing to move core business onto the blockchain. At this point, you will find yourself in a dilemma: If you choose a traditional public chain like Ethereum, all transaction details and metadata are laid bare on the chain, making it impossible to protect customer privacy; if you choose a privacy public chain, the native tokens are often delisted by exchanges due to anti-money laundering (AML) regulations, and once liquidity dries up, the network's security becomes a house of cards. This awkward situation of 'privacy and compliance cannot coexist' is precisely the core pain point that @MidnightNetwork aims to solve.
It seems there are no airdrops again today. However, there is a TGE for Unitas Labs (UP) at 4 PM. For those who previously completed wallet staking tasks, you can unlock 105 tokens at 6:15 PM. Recently, various activities have been extremely competitive, and I've been caught in the middle while brushing Alpha several times. Instead, why not participate in the square activity for #night ? There are 500 spots available, and you can write a little every day, just go with the flow; at least you won't get reaped.
$NIGHT is a privacy public chain. I think what makes it more interesting compared to other privacy chains is that it has designed two types of tokens, NIGHT and DUST. DUST is generated by holding NIGHT and can only be used during transactions; it has no other purpose and will also depreciate. This approach is meant to keep transaction costs controllable and helps everyone accumulate $NIGHT . The official explanation is that NIGHT is equivalent to a power station, DUST is equivalent to electrical energy; NIGHT is an asset, and DUST is an essential resource for network operation. This description is quite apt, and the design is also very clever. It's worth mentioning that DUST itself cannot be transferred to others, but when generated, you can designate another address to receive DUST by holding NIGHT, achieving indirect gifting. However, once generated at this address, DUST cannot be transferred to another address, making DUST a useful but non-speculative resource. @MidnightNetwork
Saying goodbye to 'naked running' on the chain: How Midnight reshapes data privacy rights
Imagine a scenario like this: 👉 When purchasing alcohol, you only need to prove to the merchant that 'I am of legal age' without exposing your specific birthday or address; 👉 When tokenizing real estate assets, ownership can be verified on the chain, but the owner's identity and transaction details remain private, avoiding the leakage of business secrets; 👉 When participating in DAO voting, the system can prove that you are eligible and have voted, yet no one knows who you specifically voted for. These are not fantasies, but the realistic possibilities brought by the Midnight project. In the current blockchain world, users and businesses often find themselves in a state of 'naked running on the chain'. Most public chains default to disclose all transaction details, and on-chain analysis tools can easily trace the flow of funds, associate identities, and even infer business intentions. This transparency, while ensuring verifiability, exposes users to privacy leakage risks and makes businesses reluctant to put core operations on the chain. This creates a data dilemma: users want control, businesses want to monetize but fear leakage, and innovators are left at a loss.
After missing the creator rewards four times in a row, the new event for $NIGHT has finally expanded the quota to 500. The average reward is less than 100U. Referring to the last XPL event (also with 500 spots), as long as daily updates are maintained, the chances of being selected are very high. The project party of @MidnightNetwork has always been generous; during the Alpha phase, they airdropped 1700 coins of $NIGHT to each of the first 20,000 users.
#night Project positioning: This is a Layer 1 privacy public chain focused on solving the "data dilemma" on-chain. Traditional public chains often struggle to balance user data sovereignty with corporate trade secrets, and they find it difficult to meet enterprise-level requirements in terms of privacy protection, service stability, and cost controllability.
✨Midnight's breakthrough approach: 1️⃣ Build a blockchain network that supports "programmable data protection + selective disclosure." 2️⃣ Developers can build applications without excessive data collection from users; 3️⃣ Effectively protect sensitive business information; Solve the commercial dilemma of not being able to achieve "data protection, ownership, and availability" at the same time.
Midnight is not simply adding privacy features, but fundamentally reconstructing data governance logic—making privacy protection the "default option" in application design, rather than an "additional plugin."
🚀 Three core guarantees for empowering application operators: 1️⃣ Deep privacy protection: Break through the limitations of traditional public chains' "full-chain transparency" and achieve dual protection of data and metadata. Enterprises can securely serve users without disclosing sensitive information. 2️⃣ Cost controllability and stability: Transaction fees are priced based on the stability of $NIGHT token price fluctuations, supporting enterprises in accurately budgeting costs, and even allowing fiat payments. 3️⃣ Compliance-friendly architecture: Supports programmability and selective disclosure. Applications can dynamically adjust data disclosure strategies based on business type, content attributes, and legal jurisdiction, easily meeting regulatory requirements.
Binance Expands AI Agent Skills: New Advanced Trading and Asset Management Capabilities
This is a general announcement, and the products and services mentioned here may not be applicable in your region. Dear users: Binance officially launches 4 brand new AI Agent skills, further extending Binance-level capabilities to derivatives trading, margin trading, Binance Alpha, and asset management. Building on the initial 8 skills, the AI Agent can now access deeper Binance trading infrastructure and a wider range of asset management tools through a unified standardized interface. 4 new AI Agent skills added: Binance Alpha market data: query Alpha market data—token list, trading information, candlestick charts, aggregated trading data, and 24-hour price statistics. Binance Alpha is the platform for discovering and trading popular on-chain assets. This skill allows the Agent to query real-time pricing and trading dynamics of Alpha tokens through the official API. All endpoints are publicly accessible without the need for an API Key.