Products I use that integrate AI perfectly (use regularly) -Notion AI -Spotify (AI DJ) -Whoop -Slack (Slackbot) -X (Grok) The ones that failed (never use): -Instagram (Meta AI) -Apple Intelligence -DoorDash (AI chatbot) -Gmail "Help me write -Google Meet "take notes for me” What else?

Products that get misread the most are where the user TG is kids or senior citizens, but the buyer TG is different. The buyer in these cases is a caretaker acting out of anxiety or love, and those feelings are very good at ensuring acquisition. But the acquisition pitch does very little for retention of the actual users. The child / parent has to want the product every day, and that gets shaped by their peers + what they see online far more than by whatever moved the caretaker to pay.

"Our products are not dependent on any export control. No other country needs to approve an export of our products.” STARK Founder & CEO Uwe Horstmann sits down with @bloombergtv’s @TomMackenzieTV to discuss European defense sovereignty, strategic autonomy, and scaling globally. #BloombergTech# Watch the conversation here⏯️

Financial products have always been built market by market. Stablecoins make it possible to start global. At Monday’s Ethereum Stablecoin Summit at @money2020, @privy_io's @debsoon laid out the new money stack bringing fiat and crypto together.

Chinese products have captured an estimated 24% market share in emerging markets—an indication of the scale and speed of their global expansion. Trina Chen of Goldman Sachs Research discusses the trend on Exchanges:

Many products fail not because the technology doesn’t work, but because they solve problems users don’t actually have Before building, identify your target users, understand how they currently solve the problem, and find out what’s missing Without real demand, even a fully functional product may struggle to create commercial value Validate the problem before writing the code

Building products requires testing, and every iteration can involve costs To support the TapeOut × X Layer Developer Competition, TapeCode has announced an update to its recharge policy • 50% bonus on computing Token credits • No recharge amount limit stated in the announcement • Available through the end of 2026 For example, a recharge worth 100 credits receives 50 additional credits More available credits give developers additional resources for prototyping, testing, and iteration Lower experimentation costs. More opportunities to validate ideas