Ramsri Goutham Golla did not begin Questgen.ai with a polished SaaS launch. In 2019 and 2020, while exploring AI and edtech ideas from Singapore, he and an early team worked on Aurora, an AI-assisted quiz concept. The opportunity looked real enough to secure pre-seed funding and even attract a potential seed lead, but co-founder conflict ended the company. Ramsri moved back to India, returned remaining investor money, and kept the question-generation idea alive as research rather than a venture.

That slow path became the advantage. He wrote Medium posts about AI-generated quizzes, shared code prototypes, trained question-generation models with interns, open-sourced related work, and packaged the learning into a Udemy course that made about $10,000 over a little more than two years. By the time Questgen.ai became a SaaS, the topic already had search demand, educational buyers understood the pain, and Ramsri had content assets that could send qualified visitors to the product.

The first Questgen.ai product was deliberately modest: a simple two-text-box Bubble.io app where users pasted content on one side and received generated quiz questions on the other. He launched on LinkedIn and Twitter, linked the SaaS from his old blogs, course material, and GitHub repositories, and kept improving the product instead of waiting for a single launch spike. The first revenue came from pay-per-use credits because subscriptions were not yet implemented. Later, as Ramsri learned the full-stack tools he needed, he rebuilt Questgen in Next.js, moved toward subscriptions, and added formats for teachers, students, HR teams, publishers, and edtech companies.

By February 2025, the solo product was reported at about $4,000 MRR with roughly 230 paying customers across B2C and B2B, plus API plans starting around $299/month. Ramsri's own Medium post a few months earlier described Questgen as oscillating between $3K and $4K MRR with around 70% profit margin and very little maintenance. The lesson is not overnight virality. It is a compounding, education-market version of founder-market fit: build in public around a technical niche for years, convert those assets into SEO, and keep the SaaS small enough that a solo founder can operate it sustainably.