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In this podcast, the speaker shares their journey of building a new SaaS from day one. They discuss their market, early tech stack choices, and financials of the business. They also talk about setting deadlines and gathering feedback. Additionally, they highlight the integration of AI in the coding process and the challenges of working with audio data in a voicemail system for podcasts. They delve into their choice of Laravel framework, exploring open source libraries, and monetization options. Lastly, they touch upon the option of selling a SaaS business to maximize its value.
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Quick takeaways
- Podline.fm is a new SaaS project aiming to provide voice messaging services to podcasters and audio-centric businesses, addressing the lack of efficient tools in the market.
- AI tools such as Google Co-Pilot and Chat GPT significantly enhance coding processes by providing accurate code suggestions and helping with debugging, resulting in a five to ten times increase in development speed.
Deep dives
Building a New Software as a Service Business
The host announces their unexpected decision to start a software as a service business after years of writing. They discuss their passion for coding and the excitement of AI tools becoming more widely available. They explain their approach of building businesses around problems they understand and introduce their new SaaS project called Podline.fm, which aims to provide voice messaging services to podcasters and audio-centric businesses. The host discusses the lack of efficient tools in the market and highlights the importance of capturing high-quality audio and managing messaging data effectively. They dive into the technical challenges of recording audio through browsers, storing large amounts of audio data, and server-side processing for transcription and summarization. The host shares their choice of Laravel PHP framework for building the SaaS backend and praises its ecosystem and monetization model. They outline their future plans, including targeting serious podcasters, launching in January 2024, and gathering user feedback.
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highlights
Listen to the best highlights from the podcasts you love and dive into the full episode