Adam's founder found that a 60/40 positive-to-negative reaction ratio was effective. The negative engagement from "haters" who disagree with your opinionated product amplifies your reach to the audience who will love it, creating a powerful viral loop.
Instead of relying on a single "best" foundation model, the winning strategy will be creating "harnesses" that combine multiple models. This approach leverages the unique, exponential advantages of each lab—for instance, using Google's Gemini for multimodal tasks and Anthropic's Claude for code generation.
If your product is built on a contrarian belief that challenges the status quo, its marketing will naturally be opinionated and divisive. This isn't a manufactured tactic; it's an authentic reflection of your product's core philosophy, which inherently sparks the debate needed for virality.
Instead of saving up for major announcements, treat every feature release as a launch. This "Always Be Launching" philosophy creates constant excitement, surfaces surprising user favorites, and provides continuous feedback loops. Even a 10-minute demo can generate massive engagement.
Launching with a waitlist after a successful viral moment is a mistake. It fails to capture user excitement at its peak and introduces avoidable technical problems like warming up email inboxes for mass sending, which can lead to your launch announcement landing in spam.
When selling AI tools, management often requests flashy, high-level features that sound impressive but don't solve the core problems of individual contributors. This creates a disconnect, leading to shelfware. Successful adoption comes from a bottoms-up approach focused on IC workflows.
Adam's team discovered their internal, general-purpose agent (built for tasks like PR management) produced better CAD models than their highly specialized, domain-specific AI. This suggests that a more generally powerful AI with basic primitives can outperform a narrowly focused one.
A viral launch generates a flood of inbound demo requests, but the conversion rate is often very low because most are not your ideal customer profile (ICP). To avoid wasting sales cycles, intentionally add friction to the demo booking process to filter for only the most interested and qualified leads.