Pricing a First Product When You Have No Data

Setting the Initial Number

Determining how to price your first product requires balancing perceived value against the cost of maintaining the infrastructure that serves it. You need a figure that covers your time and server costs while remaining low enough that users do not hesitate at the checkout.

When building GamingCap, we did not have user data to justify a premium tier. We looked at the cost of running a single VPS with 12GB of RAM and a 193GB disk. Since GamingCap is a static build served directly from disk by Caddy, it has no server process and no database overhead. This architectural simplicity means the marginal cost of serving one more user is negligible. The price point was therefore set based on the time required to maintain the code, not on the electricity bill. A low entry price reduces friction for the first hundred users, who provide the feedback needed to refine the tool.

Infrastructure Costs and Pricing Logic

Your hosting setup dictates your floor price. If your product runs as a heavy Node.js process, you are paying for memory and CPU cycles regardless of traffic. In our stack, one Next.js process serves four sites by host-based routing, including the admin panel. This shared resource model means that pricing must account for the aggregate load of all products, not just the one being sold.

Instalaz runs as its own separate Node process on port 3050, proxied by Caddy. It shares a single PostgreSQL 16 database with the Next.js app. Because database queries consume CPU and I/O, a spike in Instalaz users can affect the performance of the film publication, PracandyFlix. Pricing must reflect this shared risk. If a product is a static build, like Invoiceful, which is free and requires no account, the cost is purely in the initial development and minor DNS management. DNS is handled at Spaceship, not Cloudflare, keeping overhead low. The price for static tools is often zero, while dynamic tools must cover the complexity of state management.

Adjusting for User Feedback

Once users start paying, or refusing to pay, the data replaces the guesswork. A refusal rate above a certain threshold indicates the price is too high or the value proposition is unclear. A high conversion rate might suggest the price is too low, leaving revenue on the table.

For GamingCap, which offers a 24-hour free trial with no card needed, we monitor how many trials convert to paid subscriptions. If the conversion is low, the issue is often the price or the feature set, not the traffic. If the infrastructure is stable, the price can be increased gradually. However, if the product is free, like Invoiceful, the goal is not revenue but utility. The value lies in the brand recognition it provides for the paid products. The price of a free tool is the time spent supporting it, which is a real cost that must be factored into the overall studio budget.

Long-Term Sustainability

Pricing is not a one-time decision. It must adapt as the product matures and the infrastructure scales. As the user base grows, the cost of the shared PostgreSQL database and the Next.js process will increase. The price of the dynamic products must rise to cover this increased load.

Scheduled work runs as systemd oneshot services with timers, not cron, which ensures reliability but requires monitoring. If the system becomes unstable, the price must reflect the additional effort required to maintain it. The goal is a sustainable model where the revenue covers the infrastructure and the time spent on maintenance. This allows the studio to continue shipping new features without compromising the stability of the existing products. The price is a signal of value, but it is also a tool for managing the resources that keep the product alive.