No Code SaaS & App Ideas

"Text Behind Image’s MVP was very different. I used Cursor AI, an AI tool that helps you code to build the MVP. And in three hours, I already had a working prototype. This is really the pinnacle of moving fast, breaking things and launching fast."

Louis built the initial version of AudioPen using no code tools. He designed the product in Figma and developed it using Bubble, a no code platform.

Michael had the website's MVP up and running within just three days by utilizing Replicates AI model API, allowing them to quickly spin up new tools and services for their customers without building from scratch with code.

Fernando built aiCarousels using no-code tools, specifically using Outseta to handle authentication, billing, and ticket support, along with OpenAI's API for AI features, allowing him to focus on other aspects without extensive coding.

"Thibault and his team initially prototyped the business using no code tools like Carrd and Bubble, which allowed them to validate their ideas quickly. This approach enabled them to iterate rapidly before moving on to more traditional coding frameworks."

"Scalenut was initially built using a combination of scrappy tools. They launched their marketing website using Webflow, a no-code tool, to quickly establish an online presence. This approach allowed them to focus on validating their idea and gathering user feedback without extensive initial coding."

Pat started the business with no code tools. He spun up the landing page with Umso, utilized Rewardful for referrals, and hosted on Vercel, among other tools. Despite initially writing the Clipbot app in vanilla JS, CSS, and HTML, the overall approach involved using various platforms and services that minimized the need for extensive custom coding.

Adrian built the initial version of Cleanvoice using scrappy methods to avoid traditional code-heavy development. He created a simple web app with a single .html file and used Gumroad for billing integration, eliminating the need for complex web development frameworks and a custom billing system.

As a self-taught programmer, Malcolm built the entire application without outsourcing, enabling him to develop a no-code solution that lowers costs and increases flexibility.

Sanskar launched the blurweb app with a website created using pure HTML, CSS, and JS and deployed it with Firebase hosting. This implies that the project involved custom coding rather than using no code, low code, or AI tools specifically designed for non-coders to develop. "no"

"In our first year of operation, we didn’t yet have an app. Initially, we had only a half-working website and an email newsletter! So we focused on getting the website working and relied on the emails as a way to stay relevant and engage our future users. So we operated as an agency, so to speak. We could have just done nothing and waited for the app to be done. But it was invaluable to try to operate a SaaS company minus the web app because we learned so much about the marketing processes we were striving to help."

Ching and the team initially considered leveraging the no-code movement to build a storytelling tool. They ended up focusing on video editing without prior experience in the video field, indicating that the initial phases were likely scrappy and possibly involved low-code or no-code solutions to quickly prototype and iterate on their product.

"Jens initially built FeedLetter using a simple Javascript stack and hosted it on Netlify. This no-code or low-code approach allowed him to quickly spin up the first version of the app for personal use. Netlify functions were used as a backend, simplifying the launch process without needing extensive coding."

Ruben Hassid built EasyGen by harnessing his expertise in AI and prompt engineering to create a practical content generation tool. The development began from his personal need to manage content efficiently, resulting in a system of "language models talking to each other," which he iteratively refined over several months.

RambleFix was developed using AI tools to convert speech into structured text, relying on machine learning algorithms for natural language processing. The initial version was created based on personal need and refined through user feedback, which is indicative of a no-code or low-code approach.

Submagic was initially built using AI technology by its co-founders in just a month, focusing on rapid execution and iteration. The MVP was quickly developed, showcasing an innovative solution to automate video captioning, a task typically requiring more manual coding efforts.