High valuations in digital assets? Where to look for value? Turns out the only sector in digital assets where 𝐏𝐫𝐢𝐜𝐞-𝐭𝐨-𝐒𝐚𝐥𝐞𝐬 (𝐏/𝐒) 𝐫𝐚𝐭𝐢𝐨𝐬 𝐡𝐚𝐯𝐞 𝐛𝐞𝐜𝐨𝐦𝐞 𝐦𝐨𝐫𝐞 𝐚𝐭𝐭𝐫𝐚𝐜𝐭𝐢𝐯𝐞 lately is Decentralized Physical Infrastructure Networks (DePINs). Why this trend? DePINs have experienced a combination of 𝐝𝐞𝐜𝐥𝐢𝐧𝐢𝐧𝐠 𝐟𝐮𝐥𝐥𝐲 𝐝𝐢𝐥𝐮𝐭𝐞𝐝 𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧𝐬 (𝐅𝐃𝐕𝐬) 𝐚𝐥𝐨𝐧𝐠𝐬𝐢𝐝𝐞 𝐬𝐭𝐞𝐚𝐝𝐲 𝐫𝐞𝐯𝐞𝐧𝐮𝐞 𝐠𝐫𝐨𝐰𝐭𝐡, resulting in a compression of P/S ratios over the past years. Where is the contrast? This trend is in contrast to other major crypto sectors like base infrastructure (L1, L2s, and L3s) and decentralized finance (DeFi): - 𝐇𝐢𝐠𝐡𝐞𝐫 𝐏/𝐒 𝐫𝐚𝐭𝐢𝐨𝐬: 𝐛𝐚𝐬𝐞 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 (L1, L2s, and L3s) - 𝐋𝐨𝐰𝐞𝐫 𝐏/𝐒 𝐫𝐚𝐭𝐢𝐨𝐬: 𝐃𝐞𝐅𝐢, including perpetual protocols, decentralized exchanges (DEXs), lending platforms, and agent-based and liquid staking protocols. Based on transaction fee revenues, 𝐏/𝐒 𝐫𝐚𝐭𝐢𝐨𝐬 𝐟𝐨𝐫 𝐛𝐚𝐬𝐞 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐧𝐞𝐭𝐰𝐨𝐫𝐤𝐬 (𝐋𝟏, 𝐋𝟐, 𝐚𝐧𝐝 𝐋𝟑), 𝐃𝐄𝐗𝐬 𝐚𝐧𝐝 𝐥𝐞𝐧𝐝𝐢𝐧𝐠 𝐩𝐫𝐨𝐭𝐨𝐜𝐨𝐥𝐬 𝐡𝐚𝐯𝐞 𝐡𝐞𝐥𝐝 𝐬𝐭𝐞𝐚𝐝𝐲, reflecting the relative re-rating of DePINs within the broader market. Read my full analysis w/ @KoschigRobert of @1kxnetwork and @dylangbane of @MessariCrypto 👇 messari.io/report/depin-toke…

“The Scale Play: When DePIN Goes Industrial” by Mihai Grigore (@Tech_Metrics), Jakob Linus Stammler, Daniel Ammann, Raphael Knechtli Panel diving into the friction between Web3 speed and Web2 reliability in industrial DePIN.

𝐋𝐢𝐪𝐮𝐢𝐝𝐢𝐭𝐲 𝐢𝐬 𝐤𝐢𝐧𝐠 — it drives valuations of digital assets. So is the case for decentralized networks. 𝐖𝐡𝐚𝐭 𝐝𝐨𝐞𝐬 𝐭𝐡𝐚𝐭 𝐦𝐞𝐚𝐧? Despite similar revenues, certain decentralized networks have higher fully diluted valuations (FDVs) and price-to-sales (P/S) ratios than their peers. 𝐇𝐨𝐰 𝐬𝐨? We looked at Decentralized Physical Infrastructure Networks (DePINs) with publicly available data. The primary driver of this valuation premium appears to be deep token liquidity, especially when tokens are listed on major exchanges. This liquidity premium aligns with the valuation trends of the broader market. 𝐄𝐱𝐚𝐦𝐩𝐥𝐞𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐜𝐡𝐚𝐫𝐭 We segmented DePIN protocols based on liquidity depth and exchange listing status. A diagonal trend line effectively separates most listed from non-listed projects. Bubble sizes reflect current liquidity depth. 𝐅𝐢𝐧𝐝𝐢𝐧𝐠: Exchange listings tend to correspond to larger bubbles, indicating deeper liquidity. 𝐄𝐱𝐩𝐥𝐚𝐧𝐚𝐭𝐢𝐨𝐧: - Projects situated in the upper-right quadrant, those combining deep liquidity with exchange listings, command significantly higher valuations relative to their revenues. - Projects in the lower-left quadrant, which lack such listings and exhibit thinner liquidity, are valued more conservatively despite comparable revenue profiles. Wanna look into the details? Read my full analysis w/ @KoschigRobert of @1kxnetwork and @dylangbane of @MessariCrypto: messari.io/report/depin-toke…

🚀 VC Panel @ETHBucharest_ 🇷🇴 “Let’s get ugly quickly & make mistakes early.” 🧠 AI x Blockchain = coordination power 👩‍🚀 Founders: obsession > code. Being technical isn’t a must anymore! 🎮 GameFi: big potential, but we’re early. Gamers resist switching games or adopting asset portability 📉 Tokenomics won’t save weak products @cleanunicorn @lior_eth @vicimikul @EthanPierse @tech_metrics #ETHBucharest #Web3 #GameFi #CryptoVC #AIxBlockchain

How profitable is it to run decentralized infrastructure? Looked at profit margins for Decentralized Physical Infrastructure Networks (DePINs): For 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀 (𝗗𝗥𝗡𝘀), reward based profit margins range from 0% to 200%. 𝗗𝗥𝗡𝘀 𝘁𝗵𝗮𝘁 𝗼𝗳𝗳𝗲𝗿 𝗱𝗲𝗹𝗲𝗴𝗮𝘁𝗲𝗱 𝘀𝘁𝗮𝗸𝗶𝗻𝗴 𝘁𝗲𝗻𝗱 𝘁𝗼 𝗵𝗮𝘃𝗲 𝗵𝗶𝗴𝗵𝗲𝗿 𝗽𝗿𝗼𝗳𝗶𝘁 𝗺𝗮𝗿𝗴𝗶𝗻𝘀, e.g., Livepeer, The Graph, Filecoin, and Covalent. In contrast, 𝗣𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀 (𝗣𝗥𝗡𝘀) typically achieve: • ~𝟱𝟬% profit margins 𝗳𝗼𝗿 𝗟𝗼𝘄-𝗖𝗼𝘀𝘁 𝗡𝗼𝗱𝗲𝘀: e.g., Dimo, Helium, or Arkreen where nodes cost several hundred dollars at most. • ~𝟮𝟬𝟬% 𝗮𝗻𝗱 𝗮𝗯𝗼𝘃𝗲 profit margins 𝗳𝗼𝗿 𝗛𝗶𝗴𝗵𝗲𝗿-𝗖𝗼𝘀𝘁 𝗡𝗼𝗱𝗲𝘀: e.g., Helium Mobile, XNET, WeatherXM, Hivemapper, and GEODNET, where the nodes start at $400. For details and assumptions, check my full research w/ @KoschigRobert (@1kxnetwork ) and @dylangbane (@MessariCrypto) on token rewards in DePINs: messari.io/report/depin-toke…

Today, we @1kxnetwork release Part 2 of our DePIN Tokenomics Series with @dylangbane and @tech_metrics from @MessariCrypto. We analyzed the reward mechanisms of 27 DePINs - here's what the data reveals 🧵

Most DePINs require "skin-in-the-game": - Digital Resource Networks primarily use a Stake for Access token incentive model; - Physical Resource Networks primarily use a Node-Purchase model. Check my research w/ @KoschigRobert (@1kxnetwork) & @dylangbane (@MessariCrypto) below:

After a full day with @ethereumJoseph l, glad to meet those 2 legends @StefanDGeorge from @GnosisDAO @GnosisVC and @tech_metrics from @MessariCrypto at @cfcstmoritz, always learning a ton 👏

We @1kxnetwork just published our first report on DePIN tokenomics with @dylangbane and @tech_metrics from @MessariCrypto, starting with an analysis of incentive mechanisms on 100 DePINs 🧵

gm gm ☀️🇨🇭 seems that there’s quite a small world after all, even here at @cfcstmoritz 😎😎🤓

Published research has a problem: if experiments cannot be reproduced, the results cannot be truly verified. DeSci aims to solve for transparency of data sets & methodologies. Bullish DeSci 🚀