How Frédérick Tubiermont Built a Profitable SaaS in Just 2 Weeks Using AI
Who is Frédérick Tubiermont?
Frédérick Tubiermont, the founder of AI Jingle Maker, is a Belgian entrepreneur with a diverse background in music, radio, and tech. He learned to code in his late 40s, utilizing AI tools like ChatGPT and GitHub Copilot, which enabled him to rapidly develop his SaaS product.
What problem does AI Jingle Maker solve?
AI Jingle Maker solves the hassle of creating professional audio ads by letting businesses quickly generate catchy jingles and intros without technical skills, saving time and cost.
How did Frédérick come up with the idea for AI Jingle Maker?
The founder of AI Jingle Maker combined his passion for radio and voice acting with his newly acquired coding skills to solve a problem he had observed in the audio production world. He noticed the inconvenience of creating jingles and audio ads using traditional software, which could be complex and costly for small businesses and indie radio stations. Driven by this observation, he envisioned a simpler, more accessible way for anyone to generate high-quality audio content.
Before embarking on this project, he explored the possibilities of using AI coding tools like ChatGPT and GitHub Copilot to accelerate development, believing these could offer the flexibility and efficiency needed for his idea. He began coding with Flask and treated it as an opportunity to test and validate his idea by engaging potential users and adapting the tool based on feedback. Throughout this journey, he learned the importance of persistence and adaptability, refining his technical skills and leveraging AI to overcome challenges in the ideation phase. His experience exemplifies how embracing new technologies can transform creative ideas into tangible products.
How did Frédérick build the initial version of AI Jingle Maker?
The AI Jingle Maker was developed using a streamlined tech stack involving Python with Flask for the backend, leveraging AI tools such as ChatGPT+ and GitHub Copilot, which greatly accelerated the development process. The project utilized HTML/CSS and vanilla JavaScript for the frontend, with a deployment setup on Railway using MySQL for database management and S3 for storage.
The initial version of the SaaS product was remarkably developed and shipped within just five days, showcasing the rapid iteration made possible by AI assistance. The founder, Frédérick, faced the challenge of transitioning from no prior coding experience to mastering these technologies, aided by resources like Programming with Mosh and Tech with Tim, making the experience both intense and gratifying.
What was the growth strategy for AI Jingle Maker and how did they scale?
Direct Outreach to Indie Radio Stations
AI Jingle Maker primarily attracted signups by reaching out directly to independent radio stations. The founder, who has a 25-year background as a radio DJ, leveraged his connections and knowledge of the radio industry to promote the service. By targeting a niche segment that frequently requires jingle production, he reached an audience likely to benefit from and adopt the platform.
Why it worked: The direct outreach strategy worked because it targeted a specific niche with a genuine need for the product. Indie radio stations often operate on tight budgets and schedules, making a quick and affordable jingle production tool very attractive. The founder's background and credibility in the radio industry helped build trust and facilitated seamless engagement.
Engagement with Small Businesses and Podcasts
Another significant growth avenue involved attracting smaller businesses like coffee shops, hotels, and apparel brands, along with podcasts that utilized the platform for creating various audio content such as intros and jingles. This was achieved through word-of-mouth and the inherent viral nature of the content itself, which often gets shared across networks.
Why it worked: Small businesses and podcasts are always on the lookout for cost-effective and easy-to-use marketing tools. AI Jingle Maker's straightforward interface and AI-driven capabilities offered a low-cost solution for producing professional-quality audio content. The engaging nature of customized audio jingles helped these businesses differentiate themselves, making the product valuable beyond the initial purchase.
Continuous Feature Updates
AI Jingle Maker maintained user interest and engagement by consistently rolling out new features. Weekly updates included options like readymade jingle packs, voice recorders with effects presets, and promo makers for longer recordings.
Why it worked: Constantly updating and adding features helped retain existing customers by continually enhancing the value proposition of the platform. This strategy ensured that users had fresh tools to explore, reducing churn and encouraging word-of-mouth promotion, as satisfied users recommended the service to others.
What's the pricing strategy for AI Jingle Maker?
You don't pay for jingle generation. You only pay for the custom AI voiceover generation (US$39 (+ sales tax where it applies) for 100 credits with extra discounts on quantities. NO SUBSCRIPTION.). You can generate an infinity of jingles per voiceover.
What were the biggest lessons learned from building AI Jingle Maker?
- Leverage AI Tools for Speed: The use of AI coding tools like ChatGPT+ and GitHub Copilot accelerated the development process, allowing a functional SaaS product to be launched in just two weeks. This highlights the importance of integrating AI to enhance speed and productivity in business building.
- Continual Feature Development: Regular updates post-launch, such as adding new features like readymade jingle packs and voice effects, demonstrate the importance of ongoing product refinement to meet customer needs and maintain engagement.
- Targeted Outreach Strategy: Effective outreach to specific customer groups, such as indie radio stations, can significantly boost signups and usage. This underscores the value of knowing and targeting your niche audience for business growth.
- Adaptability & Flexibility: Transitioning from backend to frontend development and adapting to new tools show the critical need for flexibility and adaptability in entrepreneurship, allowing founders to pivot and continuously improve their product.
- Embrace Lifelong Learning: Starting coding from scratch and launching a product within a year showcases resilience and the importance of being open to new skills, proving age or background isn’t a barrier to entrepreneurial success.
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More about AI Jingle Maker:
Who is the owner of AI Jingle Maker?
Frédérick Tubiermont is the founder of AI Jingle Maker.
When did Frédérick Tubiermont start AI Jingle Maker?
2023
What is Frédérick Tubiermont's net worth?
Frédérick Tubiermont's business makes an average of $/month.
How much money has Frédérick Tubiermont made from AI Jingle Maker?
Frédérick Tubiermont started the business in 2023, and currently makes an average of .
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