Bootstrapper Details $128k SaaS Exit
In a recent video, founder Derrick Reimer shared his playbook for bootstrapping a SaaS product to a $128,000 exit while still employed. Key tactics included validating demand with a landing page before coding, shipping a lean MVP, and documenting processes with an eye toward a future acquisition.
Derrick Reimer's $128,000 exit was for Codetree, a project management tool for GitHub Issues that he built and ran as a side project. At its peak, Codetree was generating over $4,000 in monthly recurring revenue while Reimer was simultaneously co-founding and building the marketing automation platform Drip. He dedicated about 8-10 hours per week on nights and weekends to the project before selling it to focus on his primary venture. This "side-project-to-exit" path is a documented route for many developers. One engineer reported selling two side projects while employed full-time: a course builder tool for $6,750 and a screenshot API for $15,000, the latter of which reached $127 in MRR in under three months. Legal experts advise developers to check their employment agreements for clauses on intellectual property and to work on personal equipment outside of office hours. For those looking to make the leap, New York's startup scene is rapidly expanding, particularly in AI. The city is home to 35 AI unicorns that have raised a collective $17B, and 10% of all U.S. AI tech jobs are now based in New York. VC firms like Lux Capital, Two Sigma Ventures, and ff Venture Capital are actively funding AI companies in the city, with a notable focus on enterprise applications over consumer-facing products. Engineers building on the side can leverage open-source AI agent frameworks to accelerate development. Microsoft's AutoGen is designed for creating multi-agent applications, while LangChain offers a modular approach for building LLM-powered apps. Other popular frameworks include CrewAI for role-based agent orchestration and Dify as a low-code platform for creating AI agents. Vertical SaaS, which targets specific industries, presents a significant opportunity, with companies in this space trading at an average revenue multiple of 12.3x, substantially higher than the broader SaaS market's 7.6x average. AI is a key trend, with 70% of employees wanting AI solutions to assist with tasks, driving the integration of AI functionalities into existing vertical SaaS products. For consumer and social apps, user acquisition strategies often revolve around a multi-channel approach. Common tactics include paid advertising on platforms like TikTok and Google, influencer marketing, and App Store Optimization (ASO) to improve visibility in search results. Early-stage fundraising in AI has seen a surge, with AI startups commanding a 42% valuation premium at the seed stage compared to non-AI companies. In 2024, AI startups attracted about one-third of all global venture capital. In New York, the average AI seed round in 2026 is between $2.5M and $4M, higher than non-AI SaaS, reflecting investor understanding of compute costs.
