A stock-analysis and investor-education SaaS that turns financial statements into simple traffic-light decisions.
3.8% churn · $15/mo or $99/year base plan · $50/mo or $400/year premium plus
A boring spreadsheet became a product when the founder automated the decision he was already making repeatedly.
Fewer bars = easier, cheaper, or faster for an AI-assisted solo builder. Editorial judgments based on the case details.
Sean Tepper built Ticker from an Excel system that evaluated stocks through a green, gray, and red traffic-light framework. He used the sheet for four years and says his own returns were between 15% and 50%, with results closer to the upper end; those returns are not guaranteed and are founder-reported. After sharing the system with retail investors in 2019, he turned it into a SaaS product, launched the first version in 2020, and says Ticker later crossed 13,000 customers in 50 countries. The business combines financial-statement analysis, education, watchlist alerts, portfolio tools, and an AI-assisted 4M confidence booster. It took about 2.5 years to find product-market fit, with churn moving from about 11% to 6% and then to an average of 3.8% since 2023. The story is disciplined validation, not a promise of investment returns.
Ticker’s first users came from Sean sharing his Excel analysis with retail investors, who told him to turn it into a SaaS product. The founder also emphasizes listening to customers and asking detailed questions about their pain points.
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Data credibility: Founder-reported interview. Sean Tepper states the customer count, pricing, churn history, personal return range, and product timeline; no audited financials, independent retention data, or verified patent record is supplied in the transcript.
Ticker’s path to payment followed a pricing test. Sean says the base plan began at $30 per month, then moved to $19, and eventually settled near $15 per month or $99 per year.
Ticker’s flywheel is customer feedback, clearer education, and a tool that makes repeated stock research faster. Users ask questions about buying, selling, risk, and portfolio decisions; those questions shape onboarding emails, calculators, alerts, and product improvements.
Ticker took about 2.5 years to find product-market fit, and Sean says earlier versions struggled with churn. That is the useful survival lesson: he kept a day job for 3.5 years, bootstrapped the product, and iterated around customer feedback rather than assuming the first version was right.
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