The founding team's ethos was to meet early customers in person, which built deep relationships and product insights. This hands-on approach was crucial for the first 10 customers but proved unscalable. Hitting 50 customers forced them to hire their first designer specifically to automate and systematize the onboarding process.
The popular pursuit of massive user scale is often a trap. For bootstrapped SaaS, a sustainable, multi-million dollar business can be built on a few hundred happy, high-paying customers. This focus reduces support load, churn, and stress, creating a more resilient company.
Embed engineers directly with customers to hear feedback and ship solutions, often on the same day. This radical structure eliminates layers of communication (Product Managers, Customer Success) and scales the 'founder energy' of talking to users and immediately building what they need.
Assembled initially replaced a manual spreadsheet process. Their success came from understanding the spreadsheet was a symptom of deeper pains like headcount planning, real-time dashboards, and agent utilization. The real value was in solving these complex operational problems, not just digitizing a spreadsheet.
Resist hiring quickly after finding traction. Instead, 'hire painfully slowly' and assemble an initial 'MVP Crew' — a small, self-sufficient team with all skills needed to build, market, and sell the product end-to-end. This establishes a core DNA of speed and execution before scaling.
Conventional scaling crushes founders by making them hold everything. Instead, invert the model: create a supportive architecture where your frameworks hold your work, which in turn holds you. This 'nesting bowl' approach enables scaling without feeling responsible for holding everything yourself.
A one-size-fits-all onboarding process is ineffective. Customers have varying levels of technical proficiency; a power user may find excessive handholding annoying, while a novice needs it. The process must be flexible and tailored to the individual to avoid creating a frustrating experience.
Initially, being the "AI guys" led to endless custom requests across departments. The scalable breakthrough was shifting their model from doing the work to teaching customers how to use their platform to build agents, empowering them to solve their own problems.
Founders often fear scaling a service business because they believe only they can provide the 'personal touch.' This is an ego-driven bottleneck. The correct approach is to hire, accept that mistakes will happen, fire underperformers, and use sincere apologies and refunds to repair client relationships. Service failures are a predictable cost of scaling.