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This week, I'm sharing behind-the-scenes choices that allowed Podscan's growth from a small experiment to a thriving business. I'll delve into the choices I've made and how some have worked better than others. I'll explore the key decisions that have driven our success, such as selecting the right tools and technology, and utilizing AI to enhance the efficiency of our processes. Join me to learn how these choices, along with important upgrades and strategic partnerships, have contributed to our achievements.
The blog post: https://thebootstrappedfounder.com/one-year-of-podscan-reflecting-on-tech-business-decisions/The podcast episode: https://tbf.fm/episodes/386-one-year-of-podscan-reflecting-on-tech-business-decisions
Check out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvid
You'll find my weekly article on my blog: https://thebootstrappedfounder.com
Podcast: https://thebootstrappedfounder.com/podcast
Newsletter: https://thebootstrappedfounder.com/newsletter
My book Zero to Sold: https://zerotosold.com/
My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/
My course Find Your Following: https://findyourfollowing.com
Here are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw
In this episode, Arvid reflects on the first year of developing Podscan, a podcast database that transcribes every episode shortly after its release. He discusses his initial expectations, the growth of the platform from an experiment to a profitable business, and key decision points in both technology choices and business strategy.
Arvid shares insights into the technology stack behind Podscan. He chose PHP and the Laravel framework for its robustness and ease of use, highlighting the supportive ecosystem around Laravel's components. He discusses the benefits of using established technologies and how this has facilitated more efficient development and integration.
The podcast dives deeper into database choices, where Arvid discusses his decision to use MySQL. He points out challenges with full-text search capabilities and the need for external search solutions. The discussion includes reflections on potential alternative choices, such as PostgreSQL, and the implications of handling massive amounts of data with the existing schema.
Arvid highlights the importance of error tracking in maintaining system reliability. He talks about using Centri for JavaScript and Flair for PHP to help quickly identify and resolve errors, along with the significant role of AI-enhanced scraping solutions. He also reflects on service migrations and leveraging third-party services to streamline business operations.
In his reflections, Arvid stresses the importance of payment processing in building a reliable revenue stream. He emphasizes the ease of use and reliability of Paddle as a payment provider and how it has significantly contributed to Podscan's financial success. He also touches on the overall business ecosystem, including email solutions and bookkeeping services.
Looking forward, Arvid aims to continue evaluating technology and business choices regularly. He acknowledges that learning from past decisions is critical and expresses excitement about potential future advancements, particularly in AI and its applications within Podscan.
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