Mihai Grigore ๐
@Tech_Metrics
To the point. Data-driven
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High valuations in digital assets? Where to look for value? Turns out the only sector in digital assets where ๐๐ซ๐ข๐๐-๐ญ๐จ-๐๐๐ฅ๐๐ฌ (๐/๐) ๐ซ๐๐ญ๐ข๐จ๐ฌ ๐ก๐๐ฏ๐ ๐๐๐๐จ๐ฆ๐ ๐ฆ๐จ๐ซ๐ ๐๐ญ๐ญ๐ซ๐๐๐ญ๐ข๐ฏ๐ lately is Decentralized Physical Infrastructure Networks (DePINs).โฆ
๐๐ข๐ช๐ฎ๐ข๐๐ข๐ญ๐ฒ ๐ข๐ฌ ๐ค๐ข๐ง๐ โ it drives valuations of digital assets. So is the case for decentralized networks. ๐๐ก๐๐ญ ๐๐จ๐๐ฌ ๐ญ๐ก๐๐ญ ๐ฆ๐๐๐ง? Despite similar revenues, certain decentralized networks have higher fully diluted valuations (FDVs) and price-to-salesโฆ
๐ VC Panel @ETHBucharest_ ๐ท๐ด โLetโs get ugly quickly & make mistakes early.โ ๐ง AI x Blockchain = coordination power ๐ฉโ๐ Founders: obsession > code. Being technical isnโt a must anymore! ๐ฎ GameFi: big potential, but weโre early. Gamers resist switching games or adoptingโฆ
How profitable is it to run decentralized infrastructure? Looked at profit margins for Decentralized Physical Infrastructure Networks (DePINs): For ๐๐ถ๐ด๐ถ๐๐ฎ๐น ๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ ๐ก๐ฒ๐๐๐ผ๐ฟ๐ธ๐ (๐๐ฅ๐ก๐), reward based profit margins range from 0% to 200%. ๐๐ฅ๐ก๐ ๐๐ต๐ฎ๐โฆ
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 ๐งต
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:
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 ๐งต
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 ๐
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 ๐งต
gm gm โ๏ธ๐จ๐ญ seems that thereโs quite a small world after all, even here at @cfcstmoritz ๐๐๐ค
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 ๐
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