𝗪𝗵𝗮𝘁 𝗶𝗳 𝘆𝗼𝘂 𝗰𝗼𝘂𝗹𝗱 𝗽𝗿𝗼𝘃𝗲 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗿𝗲𝘃𝗲𝗮𝗹𝗶𝗻𝗴 𝘁𝗵𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗶𝘁𝘀𝗲𝗹𝗳? Imagine I tell you: "𝗜 𝗸𝗻𝗼𝘄 𝘁𝗵𝗲 𝗽𝗮𝘀𝘀𝘄𝗼𝗿𝗱 𝘁𝗼 𝘁𝗵𝗶𝘀 𝗮𝗰𝗰𝗼𝘂𝗻𝘁" You don't believe me. So you ask me to prove it. The obvious answer is: 𝗚𝗶𝘃𝗲 𝗺𝗲 𝘁𝗵𝗲 𝗽𝗮𝘀𝘀𝘄𝗼𝗿𝗱. Now you've verified that I knew it, but I've also given away the secret. What if I could prove that I know the password 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝘀𝗵𝗼𝘄𝗶𝗻𝗴 𝘆𝗼𝘂 𝘁𝗵𝗲 𝗽𝗮𝘀𝘀𝘄𝗼𝗿𝗱? That's the basic idea behind a 𝘇𝗲𝗿𝗼-𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗽𝗿𝗼𝗼𝗳 (𝗭𝗞 𝗽𝗿𝗼𝗼𝗳). A ZK proof is a cryptographic way of proving that something is true without revealing the underlying information itself. Think of it like this: I claim I know the secret code to a locked room. You can't see the code. You randomly tell me which exit you want me to use. If I actually know the code, I can unlock the room and come out through whichever exit you picked. If I don't know it, I'm guessing. Repeat this enough times and the odds of me successfully faking it become extremely small. That's the intuition. The actual cryptography is obviously much more complicated 😂 𝙎𝙤 𝙬𝙝𝙮 𝙙𝙤𝙚𝙨 𝙩𝙝𝙞𝙨 𝙢𝙖𝙩𝙩𝙚𝙧 𝙞𝙣 𝙒𝙚𝙗3? Because blockchains are incredibly transparent. That's useful when everyone needs to verify what happened. But sometimes you want 𝘃𝗲𝗿𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗲𝘅𝗽𝗼𝘀𝗶𝗻𝗴 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴. And this is where ZK technology gets interesting. I recently came across @OffMarketcx , a privacy-focused prediction trading frontend. The idea is pretty cool: You can interact with prediction markets while using a privacy layer powered by ZK technology on Starknet. Instead of making all your activity as publicly traceable as it would be through a completely transparent setup, cryptographic techniques can help separate 𝗽𝗿𝗼𝘃𝗶𝗻𝗴 𝘁𝗵𝗮𝘁 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗶𝘀 𝘃𝗮𝗹𝗶𝗱 from 𝗿𝗲𝘃𝗲𝗮𝗹𝗶𝗻𝗴 𝗲𝘃𝗲𝗿𝘆 𝗱𝗲𝘁𝗮𝗶𝗹 𝗮𝗯𝗼𝘂𝘁 𝗶𝘁. That is the bigger idea behind ZK. It's not simply: "𝗛𝗶𝗱𝗲 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴." It's: "𝗣𝗿𝗼𝘃𝗲 𝘄𝗵𝗮𝘁 𝗻𝗲𝗲𝗱𝘀 𝘁𝗼 𝗯𝗲 𝗽𝗿𝗼𝘃𝗲𝗻, 𝘄𝗵𝗶𝗹𝗲 𝗿𝗲𝘃𝗲𝗮𝗹𝗶𝗻𝗴 𝗮𝘀 𝗹𝗶𝘁𝘁𝗹𝗲 𝘂𝗻𝗻𝗲𝗰𝗲𝘀𝘀𝗮𝗿𝘆 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝘀 𝗽𝗼𝘀𝘀𝗶𝗯𝗹𝗲." And that's useful far beyond prediction markets. ZK proofs are being used for things like: → privacy → identity → blockchain scaling → proving computations → verifying eligibility You might also hear about 𝗭𝗞 𝗿𝗼𝗹𝗹𝘂𝗽𝘀, where large batches of transactions can be processed and accompanied by a cryptographic proof that the rules were followed. So when you hear “zero-knowledge proof,” don't let the name intimidate you. At its simplest: ➮ 𝗜 𝗰𝗮𝗻 𝗽𝗿𝗼𝘃𝗲 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗶𝘀 𝘁𝗿𝘂𝗲 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗴𝗶𝘃𝗶𝗻𝗴 𝘆𝗼𝘂 𝗮𝗹𝗹 𝘁𝗵𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗯𝗲𝗵𝗶𝗻𝗱 𝗶𝘁. The mathematics is complicated. The idea doesn't have to be. And honestly, that's one of the things I love about Web3. Once you strip away the jargon, some of these seemingly crazy technologies start making a lot more sense. I’ve been enjoying seeing people use @Lid_onchain to create little experiments like this, and this challenge was a good excuse to break down something that usually sounds way more complicated than it is. 🫡

We're partnering with @fablesfi to scale $EARN liquidity. A new EARN/USDG pool is now live on Fables, with LPs earning trading fees, EARN rewards and Fables points. fables.fi/markets/earn

𝗪𝗵𝗮𝘁 𝗶𝗳 𝘆𝗼𝘂 𝗰𝗼𝘂𝗹𝗱 𝗽𝗿𝗼𝘃𝗲 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗿𝗲𝘃𝗲𝗮𝗹𝗶𝗻𝗴 𝘁𝗵𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗶𝘁𝘀𝗲𝗹𝗳? Imagine I tell you: "𝗜 𝗸𝗻𝗼𝘄 𝘁𝗵𝗲 𝗽𝗮𝘀𝘀𝘄𝗼𝗿𝗱 𝘁𝗼 𝘁𝗵𝗶𝘀 𝗮𝗰𝗰𝗼𝘂𝗻𝘁" You don't believe me. So you ask me to prove it. The obvious answer is: 𝗚𝗶𝘃𝗲 𝗺𝗲 𝘁𝗵𝗲 𝗽𝗮𝘀𝘀𝘄𝗼𝗿𝗱. Now you've verified that I knew it, but I've also given away the secret. What if I could prove that I know the password 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝘀𝗵𝗼𝘄𝗶𝗻𝗴 𝘆𝗼𝘂 𝘁𝗵𝗲 𝗽𝗮𝘀𝘀𝘄𝗼𝗿𝗱? That's the basic idea behind a 𝘇𝗲𝗿𝗼-𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗽𝗿𝗼𝗼𝗳 (𝗭𝗞 𝗽𝗿𝗼𝗼𝗳). A ZK proof is a cryptographic way of proving that something is true without revealing the underlying information itself. Think of it like this: I claim I know the secret code to a locked room. You can't see the code. You randomly tell me which exit you want me to use. If I actually know the code, I can unlock the room and come out through whichever exit you picked. If I don't know it, I'm guessing. Repeat this enough times and the odds of me successfully faking it become extremely small. That's the intuition. The actual cryptography is obviously much more complicated 😂 𝙎𝙤 𝙬𝙝𝙮 𝙙𝙤𝙚𝙨 𝙩𝙝𝙞𝙨 𝙢𝙖𝙩𝙩𝙚𝙧 𝙞𝙣 𝙒𝙚𝙗3? Because blockchains are incredibly transparent. That's useful when everyone needs to verify what happened. But sometimes you want 𝘃𝗲𝗿𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗲𝘅𝗽𝗼𝘀𝗶𝗻𝗴 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴. And this is where ZK technology gets interesting. I recently came across @OffMarketcx , a privacy-focused prediction trading frontend. The idea is pretty cool: You can interact with prediction markets while using a privacy layer powered by ZK technology on Starknet. Instead of making all your activity as publicly traceable as it would be through a completely transparent setup, cryptographic techniques can help separate 𝗽𝗿𝗼𝘃𝗶𝗻𝗴 𝘁𝗵𝗮𝘁 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗶𝘀 𝘃𝗮𝗹𝗶𝗱 from 𝗿𝗲𝘃𝗲𝗮𝗹𝗶𝗻𝗴 𝗲𝘃𝗲𝗿𝘆 𝗱𝗲𝘁𝗮𝗶𝗹 𝗮𝗯𝗼𝘂𝘁 𝗶𝘁. That is the bigger idea behind ZK. It's not simply: "𝗛𝗶𝗱𝗲 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴." It's: "𝗣𝗿𝗼𝘃𝗲 𝘄𝗵𝗮𝘁 𝗻𝗲𝗲𝗱𝘀 𝘁𝗼 𝗯𝗲 𝗽𝗿𝗼𝘃𝗲𝗻, 𝘄𝗵𝗶𝗹𝗲 𝗿𝗲𝘃𝗲𝗮𝗹𝗶𝗻𝗴 𝗮𝘀 𝗹𝗶𝘁𝘁𝗹𝗲 𝘂𝗻𝗻𝗲𝗰𝗲𝘀𝘀𝗮𝗿𝘆 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝘀 𝗽𝗼𝘀𝘀𝗶𝗯𝗹𝗲." And that's useful far beyond prediction markets. ZK proofs are being used for things like: → privacy → identity → blockchain scaling → proving computations → verifying eligibility You might also hear about 𝗭𝗞 𝗿𝗼𝗹𝗹𝘂𝗽𝘀, where large batches of transactions can be processed and accompanied by a cryptographic proof that the rules were followed. So when you hear “zero-knowledge proof,” don't let the name intimidate you. At its simplest: ➮ 𝗜 𝗰𝗮𝗻 𝗽𝗿𝗼𝘃𝗲 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗶𝘀 𝘁𝗿𝘂𝗲 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗴𝗶𝘃𝗶𝗻𝗴 𝘆𝗼𝘂 𝗮𝗹𝗹 𝘁𝗵𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗯𝗲𝗵𝗶𝗻𝗱 𝗶𝘁. The mathematics is complicated. The idea doesn't have to be. And honestly, that's one of the things I love about Web3. Once you strip away the jargon, some of these seemingly crazy technologies start making a lot more sense. I’ve been enjoying seeing people use @Lid_onchain to create little experiments like this, and this challenge was a good excuse to break down something that usually sounds way more complicated than it is. 🫡

Second round pookies 💜

That’s a wrap from Europe’s Deal Floor for Digital Assets, @EBlockchainCon. We onboarded solid power users to Lid.pro, kicked off collaboration and partnership conversations, and made the BUIDL at Lid even stronger. On to the next!

18 seconds on what OffMarket is: a privacy wrapper for @Polymarket, built on @Starknet. Same markets, same odds. Your trades are routed so the link back to you is less direct. Try it out: offmarket.cx

ANT FIRST 150 — APPLICATIONS ARE OPEN We’re looking for the first 150 people to test the ANT product before launch. The first 150 selected testers will get early access to the product and an $ANT airdrop on launch day. Fill out the form ASAP. Once the 150 spots are filled, applications close. Form: forms.gle/qtjyghPKKfTzUA7BA After filling the form, drop your ETH wallet address in the comments so we can keep track of eligible testers. Monday. 15:00 UTC. Token + Product launch.

day 4 of 29 every day I share one thing I learned building @Lid_onchain in @colosseum. lid is the creator suite on @solana a few days ago three people who use lid started their own contests, with their own money right now there are four prizes and four people taking part when something is new, there's more room for you, get in early

Most people don't miss Web3 opportunities because they can't find them, they miss them because they find too much noise. 50 projects. 100 narratives. Endless “alpha” threads. So what do you actually investigate? I found a Web3 Early Alpha Research System built around getting deeper into opportunities before they become another recycled CT narrative. FIND → FILTER → VERIFY → EVALUATE → ACT → RELATE → WATCH And its EARLY framework: E — Evidence of Building A — Activity R — Reason to Care Now L — Low Saturation Y — Your Ability to Contribute What I like about this isn't the promise of “finding the next 100x.” It's the process. You get a research workflow, research brief template, early-entry scorecard, opportunity checklist, watchlist framework and a 7-day implementation plan. The goal isn't to find more projects. It's to find better projects to investigate. If you're an alpha hunter, researcher, KOL, contributor, or simply tired of discovering projects after CT has already crowded them, this is worth looking into. Start here 👇 lid.pro/ref/DGa1hRRpHK Would you rather have better research or faster information 🤔?

barcelona, day 2 @EBlockchainCon

MINGLE MORNING CIRCLE nitter.net/i/spaces/1yGBePEjaEkKN

I came across @ANTagents and the first thing that caught my attention was the way they are thinking about AI agents. Most of us already use AI for research, planning, writing, browsing, etc. But imagine being able to give one complex task and have different specialised agents handle the different parts of it for you. That is basically what ANT is building. 🐜 🧵✍️🏽