5 Painful SaaS F*ckups You Should Avoid

The most costly early SaaS mistake is getting pricing wrong—especially when it’s set far below the market without a plan for support costs and growth. Simon Høiberg describes launching his own social media marketing tool, FeedHive, at $5 per month because he assumed a lower price plus a “better product” would automatically pull users away from competitors. That logic failed on multiple fronts: even a low-touch product still depends on third-party platform integrations, which means bugs and failures are inevitable and customer support costs money. Growth also can’t realistically rely on organic demand alone in a crowded category. Most importantly, an unusually low price can backfire psychologically—many buyers interpret it as a signal of low quality, so the “better” claim doesn’t land. The fix isn’t simply raising prices blindly; Høiberg warns against “SaaS gurus” who treat price hikes as a universal cure. Instead, he recommends “lean pricing”: start near (slightly below) the biggest competitor, then increase average revenue per user gradually—targeting about a 5% lift per month—until resistance appears. Resistance shows up as stagnating sign-ups, churn, or customers saying the product is too expensive compared with alternatives. He also stresses that pricing experiments should be paired with a spreadsheet model to track churn tolerance and revenue impact.

From there, the transcript shifts to execution habits that repeatedly derail startups. A common failure mode is “analysis paralysis,” where founders get stuck in research—collecting public data and trying to craft a comprehensive plan—without running experiments that test the idea in their own context. Another is “overbuilding,” especially among technical founders who move straight into coding after a few quick checks, then spend weeks or months building an MVP before any real users see it. A third variant is “overexecution,” where teams launch quickly to test demand, but if results disappoint they restart from scratch rather than iterating based on what the market signals. The alternative is the Lean Startup loop—build, measure, learn—using shallow initial research, clear hypotheses, and rapid delivery to users, then adapting based on whether outcomes beat or miss the original assumptions.

The transcript also pushes back on several founder myths. One is the belief that success requires groundbreaking innovation. Høiberg argues that existing competitors are often a sign of real demand and saved validation effort—especially for “small SaaS” businesses that can still reach meaningful revenue without disrupting an entire industry. Another trap is staying in a comfort zone: developers polishing features while neglecting marketing, designers endlessly tweaking landing pages while the core product underperforms, or marketers running complex funnel experiments while the product itself doesn’t solve the main problem. The cure is to do the hard work outside one’s expertise—learn adjacent skills or recruit a co-founder to cover gaps.

Finally, he targets the most persistent growth failure: believing marketing isn’t necessary. As no-code and modern front-end tools make it easy to build high-quality products, distribution and go-to-market strategy become the differentiator. A clear long-term plan for channels and scaling matters more than “we’ll launch on Product Hunt.” Høiberg closes by noting that he made these mistakes on his first attempt, then applied the lessons to FeedHive, reaching $1,000 MRR in the first 30 days and continuing from there.