MUSE

@KalshiGirls @Kalshi @Kalshi_Music @Kalshi_Culture @luanalopeslara @toystory @loveislandusa @taylorswift13 @tkelce @mansourtarek_ @KalshiNewsroom 👀

Predict the answer to unlock @Kalshi odds and see how your knowledge stacks up against the wisdom of the crowd! Who wants a feed of engaging stories like this?

Prediction markets are ultimately about aggregating diverse perspectives. Spoke in Las Vegas @predictionconlv about the barriers, opportunities, and practical steps needed to bring more women into the industry. youtu.be/nUVNy9u4T0U

Every purchase decision starts with a question: Is this worth buying? MUSE turns shopping into a real-time focus group. See what trends are rising, what aesthetics are gaining momentum, and what’s actually resonating with consumers.

One of the best panels we have attended this NY @Techweek_ Particularly enjoyed hearing from @yarden Horwitz, co-founder of @spatenyc that predicts consumer trends with unmatched accuracy for brands as we are looking to do that for consumers!

We’re attending the Fashion @TechWeek_ event at FIT and couldn’t have higher conviction in what we’re building at MUSE. The need for trend intelligence has never been more apparent

@BlondiePredicts The most valuable data isn’t what people bought yesterday. It’s what they’re likely to buy tomorrow. That’s the problem we’re solving with MUSE: a trend intelligence layer for fashion and beauty

Almost nobody talks about the data… Companies are sitting on enormous amounts of prediction data and most don’t know what to do with it yet. The real value will be the applications built on top of the data

My favorite week in NYC. Looking forward to attending 20+ events, hosting a prediction markets mixer with @fiftyonealpha, and having hundreds of great conversations with founders, investors, builders, and friends old and new. Happy NY @Techweek_ nerds

> Universities are designed to understand the past > Prediction markets are designed to forecast the future > One accumulates knowledge > The other continuously updates it The future needs both

Feeling a little Elle Woods at NYU Law: Enforcement in Prediction Markets

Prediction is more valuable than observation

Really enjoyed this interview with @BlondiePredicts discussing @musemarketsco, @fiftyonealpha, @KalshiGirls, and the growing role of women in prediction markets. Prediction markets are expanding far beyond finance and sports into culture, trends, media, and community building. tradehandle.com/prediction-mar… #PredictionMarkets #MuseMarkets #Kalshi #WomenInTech

@pmarca That’s why I’m building @musemarketsco . Ranking tastemakers in fashion & beauty by correctly predicting the next product launches

🎙️ New Episode Alert 🎙️ In this episode of Prediction Markets Report, I speak with @BlondiePredicts, founder of @KalshiGirls, MUSE Markets, and Fifty One Alpha. 🎧 Listen here: open.spotify.com/episode/5yesZu…

Prediction powered commerce coming soon

Great speaking at the first prediction markets conference @predictionconlv with @0xgingergirl and @GerlacherC

@BlondiePredicts 🤚

Curious who’s actually building here… Drop your startup name if you’d pitch!

Bernstein sees prediction market size reaching $1 trillion by 2030:

@NickPreszler MUSE won’t be a trading terminal, but think gamified shopping powered by probabilities. Stay tuned

Two types of prediction market terminals will be successful: 1. Consumer focused, presenting markets in a fun, gamified way. (Low volume per user, many users) 2. Trader focused, optimizing execution and giving the best tooling natively in the terminal (Few users, high volume per user) The first is easier for a new app to break into. New, creative ideas will win out, which can come from anywhere. The app may be able to charge a seperate fee on top of the pm platform's fee because users will use the app for fun and are less price sensitive. (Robinhood, Fomo) The second is most likely to come from an existing trading platform, or a team with a background in trade execution. The winner in this category will monetize off builder codes, taking no additional fees over what the platform natively charges, and integrates new features at no/low additional cost to users. (IBKR, Axiom)

Been quietly building something I’m really excited about @musemarketsco Prediction-powered commerce (demand layer) Waitlist is live: musemarkets.co

We are building a market layer for demand