According to the New York Times, prediction market leader @Kalshi has raised one billion dollars at a valuation of $11 billion, up from a valuation of $5B in October. Kalshi’s growth makes it the fastest-growing company in the world outside of ChatGPT, and highlights the rare shift in consumer behavior that the company created. Kalshi has received backing from high-profile investors like Charles Schwab, Sequoia Capital, Andreessen Horowitz, Google, and Kevin Durant.

Bigger isn't always better 🤷 One of the lessons that the wild Silicon Valley venture funding environment of the past few years has clearly taught is this: Bigger valuations are not always better. “I think we’ve all kind of seen the negative impact of having a valuation too high from the last, call it, three years,” Elizabeth Yin, co-founder of Hustle Fund said onstage at TechCrunch Disrupt last week. When a VC bull market hits and startups are able to easily raise a lot of money before they have real, provable businesses, they’ve set themselves up for difficult times. Because “the bar is higher for that next round,” she said. If the company fails to grow into a lofty valuation, it could wind up burning its most valuable employees, said VC Renata Quintini, co-founder of Renegade Partners. Read more on why startups shouldn’t always take the highest valuation at the link in the bio 👆 Article by Julie Bort Image Credits: Barak Shrama/ Slava Blazer Photography / Flickr #TechCrunch #technews #startups #founders #VCs #funding #venturecapital

SKIMS hit a staggering $5 billion valuation, and suddenly the whole internet stopped to ask how a shapewear startup became a cultural force. But the real answer isn’t in boardrooms or balance sheets. It’s in the women who finally felt seen. In the shades, the sizing, the comfort that didn’t ask them to change — it changed for them. SKIMS didn’t chase fashion hype. It chased real problems, real bodies, real confidence. And that’s what turned a simple idea into a global movement. Even if you’ve never worn SKIMS, this story hits, because it’s really about building something people connect with long before they ever buy it. @kimkardashian @skims #MarketingMentor #skims

Tyler Winklevoss said during a recent interview that Bitcoin is on track to become the world’s dominant reserve currency. He argued that long-term adoption by governments and institutions will push BTC to a valuation of at least $1 million. The comments follow renewed whale accumulation trends highlighted across recent on-chain reports. Download the Movement Market app in my bio and start trading memecoins 🚀

Vertical farming company Plenty has filed for bankruptcy. In its statement, Plenty said it has received a commitment for $20.7 million in debtor-in-possession financing as part of a proposed restructuring plan. It plans to continue to operate a strawberry farm in Virginia and a plant science research and development (R&D) center in Wyoming. Debtor-in-possession financing is financing for firms in Chapter 11 bankruptcy. Since its 2014 inception, South San Francisco-based Plenty has raised nearly $1 billion in funding from a variety of investors, including SoftBank Investment Advisers, Walmart, Bezos Expeditions, and Jeff Bezos as an angel investor. Its last known valuation was $1.9 billion at the time of a $400 million Series E fundraise in January 2022, according to PitchBook. Read more on Plenty at the link in the bio 👆 Article by Mary Ann Azevedo Image Credits: Plenty #TechCrunch #technews #Plenty #startup #farming #agrotech #agtech

Wall Street’s getting nervous about AI. 
SoftBank just sold its entire $5.8B stake in Nvidia and it’s making investors question if valuations have gone too far. But this isn’t new. Every major tech wave goes through the same cycle: hype, skepticism, crash, then dominance. The key isn’t predicting the timing. 
It’s building a system that wins through every cycle no matter what happens.

🤖👀 Michael Burry, famous for predicting the 2008 housing crash, is now betting big against the AI boom. His fund, Scion Asset Management, disclosed $1.1 billion in put options against Nvidia ($186.6M) and Palantir ($912M), together making up about 80% of his portfolio’s exposure. The filings don’t reveal strike prices or expirations, so the exact nature of the bets is unclear. Palantir’s CEO Alex Karp dismissed the move as “crazy,” confident AI skeptics will be proven wrong. Why it matters: This could be the first real stress test for AI stock valuations, and the question now is whether Burry is early again… or right again. #ai #artificialintelligence #aitools #aihacks #chatgpt #tech #technology

At the tender age of seven, Pranjali Awasthi embarked on her coding journey under the guidance of her engineer father. This early exposure ignited a passion for technology that would shape her future. By thirteen, Pranjali was interning at Florida International University, delving into machine learning projects. These experiences highlighted the challenges researchers face in data extraction, inspiring her to seek innovative solutions. In January 2022, at just sixteen, she founded Delv.AI, an AI-powered platform designed to streamline data extraction for researchers. The startup quickly gained traction, securing approximately $450,000 in funding from notable investors. Within a year, Delv.AI achieved a valuation of around ₹100 crore (approximately $12 million), a testament to Pranjali’s vision and determination. Pranjali’s journey exemplifies the power of early passion, innovative thinking, and unwavering dedication. Her story serves as an inspiration to aspiring entrepreneurs worldwide. #YoungEntrepreneur #AIInnovation #WomenInTech #TechProdigy #StartupSuccess #Marketinggrowmatics

Giancarlo Devasini, chairman of Tether, is projected to see his net worth reach $224 billion. This leap would make him one of the top five richest people on earth. The growth is tied to Tether’s rising valuation and massive fundraising plans. Download the Movement Market app in my bio and start launching your own memecoins 🚀

McKinsey reviewed over fifty agentic AI implementations and found that more than half struggled because they overengineered agents instead of focusing on core workflows first. The high performers created centralized platforms with validated services and reusable components, which reduced redundant development by as much as fifty percent. They also invested in continuous evaluation cycles, integrating domain expertise to flag bias and track decision paths rather than relying on outcomes alone. Results showed that when human oversight was paired with modular design and constant evaluation, adoption and impact were both significantly higher. Source: One year of agentic AI: Six lessons from the people doing the work Follow us (👉@artificialintelligenceee) for everything latest from the AI world.