TLDR Founders 2026-05-01

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Token demand is going up. Everyone should be thinking about how to manage token usage as models will get more expensive as they get better. Businesses need to consider whether they are using the right-sized model for their project and whether reasoning is really required. They need to be flexible with providers and only use fine-tuning/post-training if they have enough data, expertise, and resources.

Veblen services are professional services where price signals credibility and assurance. At the top end of several industries, high fees are a signal of quality. Hiring the most expensive firm becomes a form of insurance. In this environment, lowering fees raises doubts, and discounting looks more like a weakness.

Add an "Ask AI" button to your landing page. The button opens ChatGPT, Claude, or Perplexity with a pre-filled prompt about your product. The user clicks, the AI explains, and the explanation feels less like marketing because it didn't come from you. A landing page is obviously self-interested. An AI assistant feels like a second opinion. The execution matters. If the prompt says "tell me why this product is amazing," it reads as fake. The stronger version asks what a real buyer would ask, including where the product might not fit. The balanced answer is the persuasion.

Paste a screenshot of an app into Codex. Codex builds it, then opens a browser and compares the running app against the original screenshot. In the Artemis II example, Codex pulled real NASA mission data, noticed the screenshot's Earth-to-Moon ratio was wrong for the actual mission, and interpolated a flight path that preserved the visual without lying about the physics. The system treated the visual as design intent, not gospel. The bottleneck stops being "can you make the first version" and starts being "can you tell what's off."

Join a community of developers, startups, and innovators at Microsoft Build, June 2-3 in San Francisco. Get access to Microsoft & GitHub technical leaders and create relationships that accelerate your AI journey. No fluff, just the skills to be equipped to lead in an AI-first world. Register to attend today.

The Link CLI allows agents to complete purchases on users' behalf without ever storing their real card details. Agents receive secure, one-time-use payment credentials from a Link wallet, so payment credentials are never exposed. Users have the option to make sure the tool requests approval for every transaction.

The Meta ads CLI is a command-line tool that allows developers and AI agents to manage Meta ad campaigns directly from the command line without writing custom code. It packages the Meta Marketing API into one tool with predictable commands that both developers and AI agents can use reliably. The tool supports multiple output formats and can integrate seamlessly into existing workflows.

X has completely rebuilt its advertising platform from the ground up. It started rolling out the new platform last month. The new Ads Manager is built around the core pillars of Simplicity, Unmatched Control, and Superior AI-Powered Performance. The upgrade introduces modern retrieval and ranking systems powered by state-of-the-art AI. It enables more precise, relevant, and dynamic ad delivery that aligns with what's happening on X in real-time.

Most teams pay for the booth, then waste the room. They sit behind a table, check their phones, and wait for obvious leads to walk up. Meanwhile, the openings are everywhere. Someone slowing down for half a second. Holding eye contact. Touching a brochure. The move isn't a pitch. It's an easy invitation. The piece also makes the case for talking to neighboring booths, not just buyers. One 20-minute conversation with the booth next door led to an intro into a customer segment the company hadn't considered.

Besvinick rebuts Lucas Bagno's "Great Bifurcation" thesis that low-priced rounds signal adverse selection, arguing pre-seed at $5M-$15M post operates on a different risk profile than $40M-$100M seed rounds and rewards backing founders before consensus forms.

Most VCs call themselves conviction investors. What they usually mean is they'll move quickly when a founder fits an obvious pattern: AI company, elite school, prior exit, hot market, clean memo. Real conviction is expensive. The founder is strange, the market is unproven, and the memo is ugly. The piece names this the "legibility tax." Every layer of institutional capital strips away weirdness so the deal can be defended internally. If you're building something non-obvious, you need one person willing to look foolish before the room agrees.

AI-native startups should leverage data as their primary competitive advantage, establishing data flywheels to outperform competitors.

Every cycle invents a new name for the same fantasy: software that makes money while you sleep.

Make things you are personally curious about and put them in front of people fast.