Here is the #1# performing stock in the S&P 500 every single year since 2000: 2000: $DYN Dynegy +223% 2001: $ODP Office Depot +160% 2002: $BSX Boston Scientific +76% 2003: $AV Avaya +379% 2004: $AAPL Apple +199% 2005: $VLO Valero Energy +127% 2006: $ICE Intercontinental Exchange +196% 2007: $AMZN Amazon +140% 2008: $DLTR Dollar Tree +61% 2009: $XL XL Capital +395% 2010: $NFLX Netflix +216% 2011: $EXPE Expedia +184% 2012: $REGN Regeneron +203% 2013: $NFLX Netflix +298% 2014: $SWKS Skyworks Solutions +159% 2015: $NFLX Netflix +133% 2016: $NVDA Nvidia +224% 2017: $NRG NRG Energy +132% 2018: $AMD AMD +81% 2019: $AMD AMD +148% 2020: $TSLA Tesla +743% 2021: $DVN Devon Energy +194% 2022: $OXY Occidental Petroleum +119% 2023: $NVDA Nvidia +239% 2024: $PLTR Palantir +340% 2025: $WDC Western Digital +283% 2026 YTD: SanDisk +526% What's your pick for 2027?

I’ve had a lot of conversations with people who want to finance and trade compute as an infrastructure asset. One question I keep coming back to: once you’ve financed a GPU server for five to ten years, how do you actually know what you own—and what condition it’s in—throughout those five years? How do you independently verify which physical GPUs and components are actually there? How do you know those servers are being properly operated and maintained when they may sit in a data center thousands of miles away? And how do you know the equipment you financed on Day 1 is still performing as expected on Day 1,000? Physical inspection doesn’t scale. Self-reporting isn’t enough. You need third-party verification. That’s what we’re building with SiliconMark. We work with infrastructure providers to track machines down to component-level UUIDs—GPU, CPU and the broader system—and build a persistent identity and performance history for the asset. You can know what the machine is, its expected depreciation curve, how it is actually performing, its thermal behavior and quality history, with timestamped records over its lifecycle. And because our tests are open-sourced, the results are reproducible and independently verifiable. Think of it as a digital service record for compute infrastructure, maintained by an independent third party. For equipment financing, knowing the original purchase price isn’t enough. You need to continuously know what the asset is, that it exists, how it has been treated, how it is performing, and ultimately what it is worth. If GPUs are going to become a financeable and tradable institutional infrastructure asset class, this verification layer is a fundamental building block. Third-party verification is the trust layer between the physical GPU and the financial asset.

Looks like the community is very thrilled about having a Chinese name 中文名 for @solana! (thank you core Solana team for the s/o to this community effort @toly @calilyliu @akshaybd) Given such community enthusiasm, Trends is organizing a competition for community members to give a Chinese name to @solana with a prize pool of 100 SOL Simply quote retweet this post with your proposed Chinese name for Solana to enter the competition the best performing proposal tweet gets 66 SOL, and the second best performing proposal tweet gets 33 SOL, with 1 random participant gets 1 SOL (best performing can mean social media stats, traction on Trends, and many other things 👀) The competition will start from now and ends at October 17, 2025 6am UTC. 让我们一起建造 世界的Solana 人民的Solana

Sui Hashi Testnet is performing way beyond expectations @SuiNetwork reports having processed more than 1.1M $BTC deposits and 165K withdrawals on its Hashi testnet in just 21 days since it went live. Over 25 institutional participants have started stress testing the system, which currently accounts for over 50% of $BTC Signet transactions over the past 14 days.

1. We have not disappeared, nor will we. 2. There are many rumors, including alleged disclosures and screenshots supposedly provided by former or current employees. Please do not believe unverified claims. 3. Our core team is still conducting an inventory and consolidation of assets, as well as performing system maintenance. Our goal is to ensure an orderly wind-down. Please wait for official announcements and updates. 4. We have not misappropriated any assets, nor have we taken any steps to withdraw funds early or evade our responsibilities. We are considering involving the courts and independent third-party auditors to provide a transparent report. Thank you all for your trust.

the #1# piece of advice for founders trying to run UGC on their own as a creator who's done millions of views across different niches and pages and then millions of views running ugc campaigns: most people run UGC backwards and end up in 400 view jail forever they front load the pages with very product forward, salsey, CTA videos because they saw a few reaction + demo videos going viral on X and want to copy it in the early days you need to focus on broad, high-view video in your product's niche (AKA warm up videos but on steroids) that puts you on many people's feed that won't necessarily convert but will get them to engage with it (watch it all the way through, share it, like it). THEN when you make your more product forward videos they'll come up in these people's feed as a page they've seen and interacted with multiple times consistently from campaign to campaign the best performing videos are these high virality low intent videos that eventually are the ones that end up driving the most clicks to your app here's an example of one of those videos thats low intent + highly organic looking and pushes all her subsequent more product focused converting videos into higher range of views to an audience that's already engaged with her content