The article highlights the emergence of “probabilities changing over time” graphs as a new meme format that gained traction around the mid-2010s. These visualizations became popular during elections, sports events, and financial markets, capturing a compelling narrative about expectations versus realities. They convey stories of collapse, redemption, and underdogs overcoming challenges, effectively compressing complex information into easily shareable formats. The author points out that while these graphs tell powerful stories, their application has been largely limited to specific contexts like politics and sports, as they rely on accepted predictive odds. Shifting focus, the article discusses future trends shaping 2025 and beyond. It suggests that Google’s dominance in search might be challenged by AI-native search engines that provide personalized, ad-free experiences. The compliance sector is also highlighted as ripe for disruption, with opportunities for new software to simplify and streamline processes. In the realm of fintech, pricing strategies are a significant concern for founders, who often struggle with monetization paths. The article stresses that simplicity is key, especially for early-stage companies. On the topic of executive equity compensation, the text emphasizes the importance of thoughtful decisions in the early stages. It suggests that equity shouldn’t be predominantly vested, as this can lead to high-performing executives losing motivation once their shares vest. Double-trigger vesting is proposed as a strategy to incentivize retention and performance, tying the vesting process to both continued employment and notable liquidity events, like an IPO. The article also touches on the challenges of understanding new software infrastructure technologies, particularly in the context of generative AI. The a16z infrastructure team has found that hands-on experience is essential for grasping these technologies. They point out the lack of effective frameworks for quick project initiation in this space, noting that many projects require extensive boilerplate code, making the learning process cumbersome.