
Robert Koschig
@KoschigRobert
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DePIN remains the one sector where revenues continue to climb. yet prices are down as everywhere else and hence P/S ratios trend down. More in the latest @ournetwork__ on DePINs:
JUST IN: DePIN Part 1 π | OurNetwork #352. π Sector Update | @KoschigRobert.πΉ @Livepeer | @petkanics.π€« @silencioNetwork | @danielferraros .π‘ @helium | @ofernau . Link to read π½.
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good summary of Defillama's revenue numbers - but can someone explain to me how tether/circle are onchain revenue?.
β Which crypto protocols generate the most revenue? . β Which verticals are showing the strongest revenue growth?. In our latest article, we analysed the revenue data of crypto companies in detail. Hereβs a sneak peek. π
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ICNT is live, trading around 270-290 M FDV. If you like some anchor points:.@DePINPulse shows a 3.7M ARR for ICN, which makes the P/S ratio 73-78.DePINs median P/S ratio for June was 115.
π¨ ICN Official Links . Mainnet and $ICNT are officially live!. To stay safe and secure, always use official links only when interacting with the ICN ecosystem. Verified links, docs, contract addresses, dashboards & communities.
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Big shoutout to @tokengineering and @akrtws for gathering the Token Engineering Community at EthCC for the 3rd time now!.
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And there was a bonus: a full day workshop diving into experiments of ecosystem funding and DAO decision-making.
Yesterday was a great day at #EthCC β we explored ecosystem funding and DAO decision-making through four of the most exciting experiments in the space. Big thanks and kudos to.@thedevanshmehta @dwddao @noturhandle @akrtws .for sharing their work so openly, offering thoughtful
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@williamhwgeorge from @Kleros_io explaining what schelling point oracles are and how they help with dispute resolution in peer prediction.
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@MBRichardson87 with TEUnplugged session#3: connecting the previous talks from Vasily's macro view to the concrete engineering decisions of 20squares framework with scrutinizing questions:.
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@vasily_sumanov from @valueverse_ai sharing his ongoing work on AI-driven utility classification: even meme-coin connoisseurs should understand the origin of values and value capture mechanics of their tokens - now you get a chat interface explaining these:.
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@philipp_m_zahn from 20squares explaining the design principles, stack and components for debt tokenization:.
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The 2nd Unplugged session diving into Franklin's and Tanisha's talks with @akrtws how to create systemic fairness and market efficiency via incentive mechanisms in staking and ZK prover markets:.
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@governingweb3 providing a validator reputation model to improve the concentration natural to staking reward mechanisms and how that was/is tested @0xPolygon and @AvailProject (skip first 4mins as there were some issues):.
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Franklin from @lagrangedev explaining how the Double Auction Resource Allocation mechanism helps optimizing costs for proof requesters, maximizing revenue for provers, and ensuring the marketplace operates fairly and profitably:.
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A deep dive into Achim's and Duncans talks where we dissect the principles for the post-web era with @david_enim tapping into his research and experience building with @autonolas.
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@drcryve on how to think about agentic token systems in the post-web era, summarized with the 10 principles for the post-web at the end:.
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@duncancmt of @0xProject with an entertaining summary of all the things we don't understand about ERC20:.
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Complaining about how "tokenomics are broken" gets all the attention whenever it pops up every other week. TokenEngineering track @EthCC gave you an excellent opportunity to understand what the experts are working on to improve our industry - time to spend attention hereπ.
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Here is a more comprehensive list of >100 protocols that did 1M+ in June (data by @DefiLlama and @tokenterminal , which still isn't all, e.g. misses @clankeronbase ):.aave.aerodrome.aethir.astherus.axiom.banana-gun.base.binance-staked-eth.bitcoin.bitlayer.bloom-trading-bot.
Full list of protocols that have >$1M in generated monthly revenue. Just 36 names. Read this as a map of protocols that achieved a product-market fit. Source: @tokenterminal.
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