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teddy 🐺🐱

@franklyteddy

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rethinking web3 products | product @starknetfndn | excalidraw extraordinaire | my thoughts only.

London, England
Joined October 2011
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@franklyteddy
teddy 🐺🐱
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@franklyteddy
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16 hours
@evolute_studio V excited for this πŸ’₯
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@franklyteddy
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RT @EthWiz0X: The new Madara docs are now live!πŸŽ‰ Explore them at - First step toward making SN Stack the most adopt…
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@franklyteddy
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@Vjeux @shoolian Excalidraw makes me better at Starknet! Tyty for your gift ser πŸ™‡πŸ»β€β™‚οΈ
@franklyteddy
teddy 🐺🐱
16 days
Starknet ELI5 1⃣
Tweet media one
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@franklyteddy
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@ODesenfans You’re god damn right 🐒
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@franklyteddy
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@ODesenfans Cheers!! The one on the left is Donatello and the one on the right is Michelangelo
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@franklyteddy
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@dylankugler Inbound innovation at its finest πŸ”₯ Seriously though, there are so many great projects in here & makes me incredibly excited for what this ecosystem is achieving and can achieve.
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@franklyteddy
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@lilo_nft @Starknet Spring is coming, let’s melt.
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@franklyteddy
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@dylankugler Ready to melt πŸ”₯
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@franklyteddy
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@franklyteddy
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Starknet product development community is coming (soonℒ️), there's lots of fun we will have 🫑
@franklyteddy
teddy 🐺🐱
17 days
@DTview @MentorNotPseudo Should we start a Starknet product development community? Talk about and work on 1.) cool apps we can & need to build 2.) technical design 3.) amazing front end designs for first in class UX 4.) community for quick feedback loops & testing How about it? πŸ‘€
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@franklyteddy
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@franklyteddy
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Starknet privacy friends, come read this, @OlasProtocol is some next level stuff πŸ”₯
@C1aranMurray
CiarΓ‘n Murray
3 days
I've been working on a system for scoring media opinion articles (the overarching opinion rather than line-by-line fact checking, etc). It is based on discoveries in survey and prediction science through the work of people such as @PTetlock, @dprelec, @marrrcellin, @HowePiers, @PavelDAtanasov among others. There are two distinct and independent parts to the system. We score the article itself via the first part (even in the absence of a verifiable event or ground truth). The second is a modified Bayesian Truth Serum for scoring individual respondents, adapted for continuous probabilities with some refinements to remain robust at low n. The distinction is crucial as if we scored bettors via their proximity to the aggregate, the market would devolve into a Keynesian Beauty Contest with no verifiable event to vindicate insightful contrarians and give a poor signal. The combination enables us to recreate the incentives found in markets with near-term verifiable outcomes and settle within 2 weeks ensuring a reasonable payout timeframe for the writer. Would be interested to hear feedback from people with an interest in this stuff. @franklyteddy, @TheDevanshMehta, @VitalikButerin, @ArthurB, @_Dave__White_, @robinhanson
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@franklyteddy
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@MentorNotPseudo @avnu_fi Anytime my friend πŸ™‡πŸ»β€β™‚οΈ
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@franklyteddy
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@SanbkaP @Starknet This is how we win 🀝
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@franklyteddy
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4 days
@sizero_ It’ll take longer to sync in than the CRDTs to sync back to Starknet ✨
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@franklyteddy
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5 days
@dylankugler Starknet will be unstoppable**
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