solo founder

Claude Mythos leaked this week. Anthropic confirmed it's real, described it as a 'step change,' and said it's currently being tested with a small group of early access customers. That group isn't me. It probably isn't you either. This is new. A year ago, every model Anthropic shipped was effectively available to everyone with an API key on release day. The delta between what a funded enterprise customer could access and what a solo bootstrapped builder could access was close to zero. Mythos changes that. The most capable model ever built is being distributed on an invitation basis, tiered by relationship and use case, with general availability deferred while the cybersecurity implications get worked through. I don't think this is wrong. A model that can find and exploit software vulnerabilities faster than human defenders probably shouldn't be available to everyone immediately. The deliberate rollout makes sense. But I want to name what it means for the builder layer: the gap between what well-resourced teams can build and what solo founders can build just got wider, not because of money, but because of access. The most powerful reasoning and coding capabilities are going to the companies already in the room. The rest of us build with last quarter's model. One more thing: Anthropic left the announcement of a model with unprecedented cybersecurity capabilities in an unsecured, publicly searchable data store. The irony needs no elaboration.

Everything I am building for VYNS involves multiple parallel workstreams across multiple chats. Product, infrastructure, brand, legal, GTM, marketing, build and deployment prompting, and more. Each lives in a different chat thread, often across different AI tooling. The problem is that there's no native mechanism to hand off state between sessions. You can't chain outputs from one conversation into another without significant manual effort and time to get the context right. I currently manage this with a combination of hand-written notes, copy-paste, and session summaries that I paste back in to start again. That friction is real and I estimate it is roughly a 20-30% tax on reconstruction time. It compounds daily.

I use Claude as my main technical co-founder for the VYNS build along with tools from OpenAI, Gemini, and xAI for various reasons I'll likely get into on my blog one day. The collaboration is genuine and unique. I am able to have the systems hold architecture decisions, debate tradeoffs, and generate production code. I feed different channels and chats live updates and make real-time decisions based on the current AI landscape from multiple angles including policy and regulation, new versioning, and tech releases. But as sessions grow, context fills and conversations end. Especially in Claude, to be honest, but that's because I'm most reliant on it currently. Each new chat starts cold and the discontinuity compounds over a long build. You rebuild context constantly, and the AI's knowledge of your project resets or pulls outdated info from relevant chats rather than accumulating properly and syncing only with updated decision frameworks rather than obsolete or pivoted ideas. Memory and past chat search help at the edges, but the fundamental architecture is still per-session.