The hottest Tech Stocks Substack posts right now

And their main takeaways
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Top Business Topics
The Honest Broker 11835 implied HN points 03 Feb 26
  1. Major AI-related tech stocks reached all-time highs and have fallen sharply since, signaling a possible bubble top.
  2. Companies are still pouring enormous sums into AI—hundreds of billions and potentially trillions—but this cash flow hasn’t restored investor confidence or lifted share prices.
  3. The near-term outlook is uncertain: big investments could sustain growth, yet changed market sentiment means good news may no longer send prices higher.
Marcus on AI 12173 implied HN points 04 Feb 26
  1. OpenAI presented GPT-5 as AGI-capable, but the release showed it wasn’t and that claim undermined confidence in promises of imminent AGI.
  2. Belief that scaling alone would create AGI helped drive Nvidia and GPU stocks skyward, but after the GPT-5 disappointment those stocks have stalled, showing the ascent has lost steam.
  3. Investors are rotating out of hyped LLM plays as models prove expensive, unreliable, and commoditized, which means smaller profits and price wars but also creates space for newcomers and new AI approaches.
The Honest Broker 10106 implied HN points 20 Nov 25
  1. There are growing concerns that a backlash against AI could seriously hurt big tech, with Meta seen as especially vulnerable.
  2. Meta’s stock has plunged roughly $180 per share since early August and the NASDAQ has dropped about 1,400 points in the same period, showing a sharp market pullback.
  3. This sudden decline raises urgent questions about what happens next for investors and the broader market, so close attention and caution are warranted.
Marcus on AI 2410 implied HN points 20 Nov 25
  1. Nvidia reported excellent earnings that briefly lifted the stock, but the opening gains evaporated and the share price was down later in the day.
  2. The market reaction was highly volatile and uncertain, and nobody knows whether the stock will head up, down, or stay sideways next.
  3. Even with strong results, lingering concerns about outlook or valuation persist, so investors remain cautious.
Software Snack Bites 21 implied HN points 19 Jan 26
  1. AI-native startups will be able to build and maintain custom software more cheaply and could disrupt incumbents, but real-world issues like trust, ongoing maintenance, and company adoption still limit immediate wholesale replacement.
  2. The recent drop in many software stocks is driven largely by market flows, hedging, and correlated selling with semiconductors and datacenter names, not a fundamental ‘end of software’ story.
  3. Top-quality software companies are relatively resilient, but founders of legacy or pre-AI products need to add clear AI-driven growth hooks to earn premium multiples as markets reprice.
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Newcomer 255 implied HN points 06 Feb 24
  1. Readers can submit burning questions for a reader mailbag in 2024
  2. The world of venture capital and startups has seen major changes in the new year
  3. Options given for submitting questions include leaving a comment, tweeting, or using a Google form
Quant Trading Rules 79 implied HN points 02 Jun 24
  1. Peter Thiel emphasizes the importance of future cash flows in valuing technology companies, projecting significant value from profits generated well into the future.
  2. Interest rates, linked to Treasury bond yields, affect stock valuations by altering discount rates for future cash flows, particularly impacting tech stocks with high growth expectations.
  3. Implementing trading strategies based on spreads and RSI signals between tech stocks (like QQQ) and Treasury bonds (like TLT) can show variations in returns, with opportunities for leveraging and rule adjustments to potentially improve performance.
QTR’s Fringe Finance 43 implied HN points 08 Dec 25
  1. Michael Burry has spoken publicly about Palantir, Nvidia, and the AI bubble.
  2. If you own Palantir, Nvidia, AI-heavy ETFs, big-cap tech, or broad index funds, you should spend about ten minutes listening to his interview.
  3. His perspective is seen as important for investors in those stocks and for broader market exposure, so it’s worth paying attention.
Achee Alpha 6 implied HN points 08 Feb 26
  1. Microsoft's stock plunged despite solid revenue because investors doubt its AI strategy and fear AI will compress software profit margins.
  2. Microsoft's consumer AI products have fallen behind competitors and only a small share of Office users have adopted Copilot, suggesting businesses don't yet see enough value.
  3. Big cloud players are pouring money into AI infrastructure and investors are demanding clear paths to profit, which has put pressure on companies like Microsoft and Google amid heavy capex and uncertain monetization.
Mule’s Musings 122 implied HN points 11 Aug 25
  1. Hyperscalers are large tech companies that significantly impact the market. They are key players in the tech industry.
  2. AMD (Advanced Micro Devices) is a prominent company in semiconductor technology. They create powerful processors and graphics cards.
  3. Companies like ALAB and ANET are also notable in the tech space, focusing on different innovations and solutions.
Irrational Analysis 99 implied HN points 23 Mar 24
  1. Broadcom is heavily invested in the semiconductor industry, focusing on AI infrastructure, disclosing that opinions expressed are personal, based on public info and not financial advice.
  2. The market is transitioning to Network Interface Cards (NIC) being tiny computers with CPUs, logic, and accelerators, a shift away from Broadcom's current direction.
  3. Broadcom presents debates on Ethernet vs. Infiniband, criticizes Infiniband, and shares potentially misleading information, contributing to confusion in the market.
QTR’s Fringe Finance 30 implied HN points 11 Nov 25
  1. People are becoming more skeptical about AI technology. This change in attitude could lead to big reactions from investors later on.
  2. When regular investors start to realize the risks in AI, it might create a rush to pull out money. This could cause a chaotic market situation.
  3. It's important to watch for signs of trouble in AI investments. Being aware of these warning flags can help avoid potential losses.
Technology Made Simple 119 implied HN points 22 Jul 22
  1. Blitzscaling in tech leads to high valuations and rapid growth without immediate profitability, creating potential for massive crashes when unsustainable models are exposed.
  2. Tech companies often lack clear paths to profitability, growing on funding alone. When market conditions shift, these companies can implode quickly, impacting investors.
  3. Investing in tech involves a game of passing the hot potato, where VCs aim for profitable exits even if the invested companies are unsustainable. This dynamic can lead to losses for unsuspecting retail investors.
The Last Bear Standing 116 implied HN points 30 Jun 23
  1. The recession that has been expected is delayed, and there are indications that the economy continues to grow.
  2. Inflation is decreasing, and the Federal Reserve aims to maintain this trend through its monetary policy.
  3. The technology sector has seen a resurgence in 2023, particularly in big tech companies and AI developments.
The Security Industry 16 implied HN points 16 Feb 24
  1. Cybersecurity stocks have seen significant growth in just a year, with some major stocks more than doubling.
  2. The rise of AI, particularly large language models, is predicted to have a greater impact on human development than past technological advancements like the internet and electricity.
  3. Investors, security buyers, and industry pundits need to adapt to the technological expansion ahead and be prepared for significant changes in various sectors.
Clouded Judgement 3 implied HN points 29 Nov 24
  1. Big Tech companies showed mixed performance last week, with some like Amazon and Google doing well, while others like Nvidia and Tesla fell. It seems hard to predict a solid trend right now.
  2. Valuation for software companies often relies on revenue multiples, especially since many aren’t profitable yet. This helps investors compare companies within the same industry.
  3. Growth metrics matter a lot; high-growth software firms have higher valuations compared to slower-growing ones. This shows how investors are willing to pay more for potential future success.
Musings on Markets 0 implied HN points 12 Aug 15
  1. Valuation is important: Understanding a company's worth helps you make smarter investment decisions. It's key to know when to buy or sell based on value, not just price movements.
  2. Flexibility in investment strategies: Don't stick to strict rules about which stocks to buy. Being open to investing in different sectors, even risky ones, can lead to good opportunities at the right price.
  3. Timing matters: Instead of just holding onto great companies forever, sell when their price goes too high compared to their value. Staying aware of market changes can help you maximize profits.
Musings on Markets 0 implied HN points 17 Feb 17
  1. Snap focuses on online advertising, which means most of its money will come from ads rather than selling products. They aim to keep users engaged to boost ad revenue.
  2. The main audience for Snap is younger users who like visual content. They plan to continue tailoring their app to be attractive for this demographic.
  3. Snap wants users to spend more time on their platform instead of just growing their user numbers. They believe that keeping users engaged is more valuable than simply having a lot of users.
Global Markets Investor 0 implied HN points 04 Apr 24
  1. The analysis of US technology stocks being in a bubble is crucial as historical data showed the tech sector's previous dramatic drop, which took over 15 years to recover from, making it a significant risk for investors.
  2. The current market scenario, with factors like Quantitative Easing and heavy government intervention, makes a complete repeat of the past bubble unlikely. However, even a 20-30% drop could be painful for investors, given the high levels of capital at risk.
  3. US households now hold nearly 50% of equities in their portfolios, similar to the levels seen in the early 2000s, raising concerns about the amount of capital exposed. Examining historical measures and leading indicators will be key to determine if US tech stocks are overvalued or in a bubble.