Sakshi Mishra

Sakshi Mishra

1,957 Twitter followers

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Web3 researcher| VP @AM_IGDTUW| scribbler @scribble_dao| ex @thebinaryhldgs @avowallet | @shefiorg 10| shitposter

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ahaha Pakistan is surprising

are you climbing a mountain for the world to see you or for you to see the world?

Built a Stablecoin Wars dashboard on @Dune Some things I found digging through $228B of stablecoin data: → USDC grew 7.8% in 30 days, USDS grew 22% → Base now rivals Ethereum on stablecoin transfer volume → USDC on Base turns over 26x/day. For context: USDe on Ethereum: 0.09x Velocity and concentration are the two most underrated metrics in stablecoin research. Most dashboards ignore both. Link below 👇

whenever i see these posts like > be xyz > did abc at 18 each successful person is so different from the other but you can easily spot a few common patterns of having huge audacity and a never give up attitude point of this tweet is you can never "be xyz" - if you are good at recognising patterns and adapting them in your life you can "be you" and that is the only way to find success not in trying to be anyone else, which is also not possible

The only way to make insane amount of money after 10 years will be > < > < > < > gambling

October 10th was the day crypto reminded everyone who’s in charge. But, It also showed how different perp DEXs behaved under real stress. Some held up. Some broke. Some disappeared completely when traders needed them most. We spent weeks digging into it at A1 Research: 328 orderbook snapshots across 8 platforms and the results surprised us: twitter.com/sakshimiishra/stat...

We just launched our newsletter series: DeFi In Five. A weekly breakdown of the most important DeFi developments with context on what happened and why it matters which you can read under 5 minutes. We put our best efforts into it to offer not just generic recap but a lot more with it. If you want signal without the noise, this is for you. Subscription link in the article below👇 twitter.com/sakshimiishra/stat...

Spent the past weeks studying prediction markets their growth, infrastructure, and structural limitations. Conclusion: product-market fit is real. The trillion-dollar outcome is possible, but its not that easy with the current infrastructure Here’s the full research ↓ twitter.com/sakshimiishra/stat...

AI can now look human, talk human, act human. And most platforms still rely on trust, not proof. This video shows why we need a Trust Layer for the internet and how @Humanityprot is building it.

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