Building a Privacy-First Client Reporting SaaS with Malith Gamage of Zapdigits

Fifteen years building SaaS across European scale-ups, including the unicorn Brevo, compressed into two words. Malith Gamage bootstrapped Zapdigits, a client-reporting tool for marketing agencies, and his survival advice is not a framework. It is do not die. Stay alive three or four years and you are fine. Everything else in this episode is the operational discipline that makes that possible.

Key takeaways

• Survival is the strategy, not a precondition for one. No in-house hires, infrastructure scaled only when needed, and a year of AWS credits used as a cash-flow cushion.
• White labelling sits on every plan, not the top tier. Agencies have to look more put-together than a client’s internal marketing team, so branding is the product rather than an upsell.
• He ships AI visibility reporting and openly doubts it. Ask the same question five times and get five answers pulled from five places.
• Domain authority did not predict who got cited. His own unpromoted, zero-authority domain was the source models pulled from, while the promoted one was not.
• A lifetime deal run as a feedback engine. The value was buyers who kept sending feature requests, not the one-off revenue.

On this page

• Do not die
• Your AI is only as smart as your schema
• Shipping a feature he does not fully trust
• White labelling, and a lifetime deal as a feedback engine
• Chapters and timestamps
• People, ideas and sources mentioned
• Questions this episode answers
• Go deeper

Do not die

Some main advice is don’t die. Like as long as you can stay for like three, four years alive, then you’re good.

— Malith Gamage

Unromantic, and more useful than most strategy. The failure mode for a bootstrapped tool is almost never being out-competed on features. It is running out of runway during the years when nothing is visibly working.

So the discipline is structural: no in-house hires, infrastructure scaled only when demand actually arrives, and a year of cloud credits treated as a cash-flow buffer rather than free compute to burn.

Your AI is only as smart as your schema

Your AI is smart as your schema. As long as you give the correct data and the correct description, then you will get good answers back.

— Malith Gamage

He draws the parallel to MCP without prompting, and it is the reason he pipes context in before asking anything: pull the Analytics data first, describe it properly, then ask the question. The quality ceiling is set at the data-description step, not at the model.

Shipping a feature he does not fully trust

I don’t even know sometimes if you ask the same question five times you get five different answers they pull out from five different places.

— Malith Gamage

Zapdigits aggregates brand visibility across several models and averages it into a score for agency clients. He will tell you the underlying signal is unstable while the feature is live, which is rarer than it should be.

His sharpest example is his own: a throwaway landing-page domain with no authority and no promotion behind it was what the models surfaced when asked about his brand. The domain he had actually promoted was not.

White labelling, and a lifetime deal as a feedback engine

Competitors gate white labelling behind the most expensive plan. Zapdigits puts it on every plan, and the reasoning is about who the customer is rather than about pricing psychology. An agency has to look more together than the client’s internal marketing team, so its own branding on the dashboard is not a premium feature, it is the thing being sold.

The lifetime deal was run the same way. Buyers came in through live webinars and stayed in a private group, on a public roadmap where they add feature requests directly. Many bought partly to back a founder who was starting out, and then kept sending ideas.

Which is the actual return: people who tell you something useful, rather than people who tell you it was good but too expensive.

Chapters

People, ideas and sources mentioned

Questions this episode answers

• What is the single most important thing for an early-stage SaaS?
• Should I bootstrap or raise venture capital?
• Is AI visibility reporting reliable yet?
• Why does domain authority not seem to matter for AI citations?
• Should white labelling be a premium feature?
• How do I get useful product feedback rather than complaints about price?
• How do I keep infrastructure costs down as a two-person team?

Go deeper

Every link above goes somewhere different. These are the ones not already mentioned above.

• the same narrowness argued from Lagos, where the funding constraint is what makes solving one market properly possible at all.
• building a tool for the operator you already are, which is founder-market fit doing the job a roadmap usually does.
• the full transcript of this episode in machine-readable form, speaker-labelled on every turn and written to be pasted into an assistant.

Find Malith Gamage

zapdigits.com.

Cite this episode

Gamage, Malith. Interviewed by Jeremy Rivera. “Do Not Die: On SaaS Survival.” Unscripted SaaS, 4 August 2026. https://unscriptedsaas.com/do-not-die-malith-gamage-on-saas-survival/