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Who’s really fastest in 2026? F1’s new rules are confusing the pecking order — and the drivers
Done with the dunk: Mac McClung’s quest for full-fledged NBA recognition
2026 NFL draft: Every prospect with a first-round grade
Reranking the 2023 ESPN 300 college football recruiting class

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Who’s really fastest in 2026? F1’s new rules are confusing the pecking order — and the drivers 01
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Done with the dunk: Mac McClung’s quest for full-fledged NBA recognition
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2026 NFL draft: Every prospect with a first-round grade
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Reranking the 2023 ESPN 300 college football recruiting class
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Super Bowl runner-up rings: What NFL players really think
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Best of the NFL postseason: Snow, chaos, trickery and more

Coinbase misses Q4 estimates as transaction revenue falls below $1 billion

Coinbase (COIN) missed fourth-quarter earnings forecasts on Thursday, thanks to weaker trading activity and lower crypto asset prices. The U.S.-based crypto exchange posted total revenue of $1.78 billion against estimates for $1.83 billion. Adjusted EPS of $0.66 was well lower than the consensus $0.86. Total transaction revenue of $983 million was below forecasts for $1.02…

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Who’s really fastest in 2026? F1’s new rules are confusing the pecking order — and the drivers

Laurence EdmondsonFeb 14, 2026, 05:47 AM ET Close • Joined ESPN in 2009• An FIA accredited F1 journalist since 2011 Multiple Authors Formula 1’s new era was always going to bring questions, but its first week of serious running has raised more than most. Preseason testing in Bahrain has offered flashes of performance and plenty of data,…

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BTC set to thrive amid AI and other innovations, says Cathie Wood

New York — Bitcoin BTC$69,210.75 isn’t just a hedge against inflation, according to ARK Invest CEO Cathie Wood, but against something more disruptive: deflation driven by technological acceleration. In a conversation with Anthony Pompliano at Bitcoin Investor Week in New York, Wood argued that traditional financial systems are unprepared for a coming “productivity shock” powered…

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A Stanford grad student created an algorithm to help his classmates find love; now, Date Drop is the basis of his new startup

As Valentine’s Day approaches at Stanford, some students may be gearing up for first dates — not with people they met on Tinder or Hinge, but with matches from a service called Date Drop, designed by Stanford graduate student Henry Weng. Date Drop pairs students with potential dates once per week based on their responses…

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