rainer ๐ญ๐น๐น๐ฑ
@_rainerds
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Tweets are my own | Brooklyn | ๐ญ๐น | Nerd @Kalshi | @Neo
Joined May 2014
I have a confession to make. We thought Kalshi would be an instant success. Of course we did; our team was full of evangelists and missionaries who believed in prediction markets. Better yet, Tarek and Luana had already done the hard part: spending two years to get an exchange
Kalshi raised $1B at an $11B valuation. A decade ago, only a few thousand people knew what a prediction market was. Eighteen months ago, most prediction markets were banned - until we overcame the government to set them free. Over the past seven years, our community has opened
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More than 2,500 Starbucks workers are on strike. Theyโre demanding dignity: fair pay, safe conditions, a contract that respects their labor. Itโs time their voices are heard at the same volume as CEOs earning millions.
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CNBC x Kalshi The leading business news network integrates the leading prediction market. Kalshiโs data will supercharge CNBCโs reporting: unfiltered, accurate and market-driven. A new era of media is here.
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Prediction markets produce a public good in the form of accurate data. It's not a zero-sum or negative-sum game. Eventually it will be the case that businesses, governments, regular people will be able to look at Kalshi or Polymarket prices to make better decisions, even if they
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I try to avoid engaging with stupid lies on X, but this is a pure smear campaign. This account, and others, are being paid by our competitor to amplify a baseless lawsuit. The allegations are false and reveal a fundamental (and maybe intentional) misunderstanding of how these
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As a young founder, I learned a $50 million lesson about the sanctity of a handshake. Iโm ashamed to say that I played a morally questionable role in this story. Fortunately, the experience changed my path.... ๐งต
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Kalshi's โovernightโ success was 7 years in the making. Few people know how much we had to struggle to get here. But the hardest part was not the long hours or tight deadlines: it was resisting joining the hype. It was crypto... then AI... but we stuck through. Kalshi does not
IN LAS VEGAS, KALSHI IS KING - THE INFORMATION For 15 years, Goldman Sachsโ private tech conference in Las Vegas has been the event for taking the pulse of startup dealmaking. Years ago, it was possible to run into founders such as Uberโs Travis Kalanick and Instagramโs Kevin
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We are excited to launch another broker partner today: PrizePicks! PrizePicks gets our markets. Kalshi gets more liquidity. More to come ๐
Today, we have begun rolling out Team & Culture Picks in the PrizePicks app across select states. All prediction markets listed on PrizePicks are in partnership with @Kalshi, the largest prediction market in the world.
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The reward for shipping over shouting. We will make sure these products are the highest quality in the industry. Back to work.
Today, we have begun rolling out Team & Culture Picks in the PrizePicks app across select states. All prediction markets listed on PrizePicks are in partnership with @Kalshi, the largest prediction market in the world.
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Trade prediction markets on @PrizePicks Sports. Movies. Music. Politics. Economics. And so much more are now live. All event contracts listed on PrizePicks are Kalshi markets.
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Truth/accountability > deception/deflection
@micsolana Mike - Kalshi did not write this article or get involved with it. Feel free to check with the reporters or the academics. Bloomberg wrote this article and sourced data from Columbia University. Kalshi is not the story here.
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By โsmearโ you mean Columbia researchers and Bloomberg noticing your wash volume? Quit blaming Kalshi for your own mess.
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POLYMARKET VOLUME SIGNIFICANTLY INFLATED BY 'ARTIFICIAL' ACTIVITY, PER COLUMBIA RESEARCHERS - BBG
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0 fee trading + teasing a token how could that possibly lead to fake volume? https://t.co/s7ewAqEHmw
bloomberg.com
The volume of activity on Polymarket, one of the most popular prediction markets, has been significantly inflated by so-called wash trading in which users rapidly buy and sell the same contracts,...
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๐จ NEW PAPER ๐จ Excited to announce this working paper (co-authored with @hongyaoma, @ykanoria, @rajivatbarnard) looking at the extent of wash trading on @Polymarket We used all historical trade data from @Polygon blockchain (~70 million trades) and developed a graph-based
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