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In the latest episode of The Above Board Podcast, hosts Paul Jarvis and Jack Ellis discuss the decline of Google as an effective search engine, particularly in light of its increasing reliance on AI-generated content. They share personal anecdotes about their frustrations with search results, noting that traditional search engines like Google and DuckDuckGo have become less reliable, often returning irrelevant or incorrect information. Jack expresses skepticism about AI's ability to replace developers, arguing that while AI can assist with basic tasks, it often fails in more complex scenarios, leading to wasted time and confusion. Both hosts lament the impact of SEO practices on content quality, which they believe prioritizes keyword optimization over meaningful information, resulting in a frustrating user experience filled with ads and irrelevant content. They conclude that many users are outsourcing their critical thinking to AI and search engines, which may ultimately hinder their understanding and knowledge retention.
Takeaways
Google search has become less effective over timeAI is not a reliable tool for complex technical tasksSEO practices have led to a decline in content qualitySearch results can significantly influence public opinionUnderstanding the incentives behind search engines is crucialAI-generated content can often be incorrect or misleadingThe reliance on AI may lead to a decline in critical thinkingUsers are increasingly frustrated with the quality of search resultsThe future of search engines may involve more AI integrationTrust in search engines is diminishing due to advertising influence -
Jack and Paul discuss what’s new at Fathom Analytics recently, like the ongoing refactor project. This paves the way for great new features, including entry and exit pages. They also give their opinions on the recent drama in the WordPress (WP) community between Automattic and WPEngine.
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In the latest episode of the Above Board Podcast, hosts Paul Jarvis and Jack Ellis discuss various topics, with a significant portion of the conversation focuses on the recent arrest of Telegram's CEO in France (Pavel Durov), exploring the implications of privacy and censorship, encryption, and the responsibilities of social media platforms in policing illegal activities. The hosts debate the complexities of freedom of speech, censorship, and the role of government and corporations in regulating discourse, emphasizing the importance of allowing open discussions to foster understanding and informed opinions.
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Things are humming along at Fathom Analytics - we’ve released several new features, have more in the pipeline coming soon, and the redoing of our internal processes is going quite well. Jack and Paul also discuss the Stripe acquisition of LemonSqueezy, the CEO of Paddle stepping down and finally, why Fathom does’t do discounts or sales (ever).
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Jack and Paul get into updating the application’s interface design and how that paves the way for new features coming soon. They also discuss why no one should trust Google’s business model (and their penchant for killing off popular products like Universal Analytics), the lengths Fathom goes to to support old analytics data, why you should lean into what works for you (even if it’s not the consensus), why companies should care a lot more about protecting their customers data, why public corporations are incentivized for being sociopaths, and so much more.
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The conversation delves into the ethical implications of AI, the use of AI in software, and the impact of AI on various industries. It also explores the challenges and limitations of AI technology, as well as the importance of privacy and data protection in AI development.
Takeaways
AI has the potential to revolutionize industries but raises ethical concerns about privacy and data protection.The use of AI in software development presents challenges and limitations, including the need for accuracy and reliability.Privacy and data protection are crucial considerations in the development and use of AI technology, especially with what data is used to train these models.The impact of AI on various industries requires careful evaluation and ethical decision-making, not just “moving fast and breaking things”.AI’s ego is it’s problem: it thinks it’s correct when it’s not, and attempts to be convincing about things it can’t know for certain is true. -
Today Jack and Paul discuss what's not been working with getting the next version of Fathom Analytics launched. They come up with a plan, in real-time, to overcome this hurdle and get back to a regular cadence of releases (i.e. not a big project). They also come up with a set of rules to govern internal projects.
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Software is complex. This episode goes into the pros and cons of how Jack (developer) and Paul (designer) work in terms of how they each make progress in huge projects, start and execute tasks, and deal with analysis paralysis that comes with complicated things.
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It’s been a while since Jack and Paul have recorded an episode of this show, so there’s a lot to catch up on! A new marketing site was launched, we’re still a small team navigating focus, we’re working on a brand new version of our software, and we’ve prototyped a new ingest to be the fastest analytics ingest in the world.
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Last week, we released several new features in our software and a fresh coat of paint in the UI. Jack and Paul discuss these features and how they relate to what’s coming up next, and they chat through the pricing increase that happened simultaneously. Lastly, they talk about why analytics software is more expensive than most hosting.
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What do you do when you can’t always please all your customers? Jack and Paul discuss how they deal with negative feedback, the different types of negative feedback, when it’s valuable (and when it’s not), and even how they deal with negative feedback internally in the company.
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Jack and Paul get into what’s going on inside Fathom Analytics right now, and then answer some questions about what it was like starting the company, what they’d do differently (or the same), and if there’s anything they’d change if they had to start Fathom again.
Special thanks to Ben and Adam from the "Hackers Incorporated" podcast for the most of the questions answered on this episode.
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Can bootstrapped founders take time off for vacation? Is that even legal? And under what circumstances is that possible? Jack and Paul dive into vacations for indie founders, as well as a short update on what’s going on with Fathom Analytics on this episode of Above Board.
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Jack and Paul dive into Paul’s routine and how he approaches tasks and work that needs doing. They chat about motivation, complex work, focus and so much more.
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Is it harder for startup founders to hire consultants when they’re used to being the ones who do all the work? Why hire a consultant in the first place? Why not hire full-time instead? Aren't good consultants ridiculously expensive? Jack and Paul dive into these questions and more on this episode about SaaS companies hiring consultants.
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Old friends Justin and Paul catch up for the first time in years and catch each other up on the state of Transistor and Fathom. They cover lots of lessons for new and veteran entrepreneurs, spanning their decades of experience in the world of indie software: cofounders, markets, surfing, experience, product moats, free time, the importance of putting things out there, and so much more.
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Maybe it’s not even that advice is “incorrect”, maybe it’s just that it’s simplified to the point of being uselessly reductive. Regardless, Jack and Paul get into dissecting popular business and startup advice found online, and see what fits, what doesn’t, and where nuance and reason should be liberally applied.
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Can we retire? Do we want to retire? Can we adjust our work now (pre-retirement) to get the most out of life while we’re still young (ish)? Jack and Paul dive into what retirement looks like both for each of them, but also what their retirement from Fathom could look like too.
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Jack and Paul get into a discussion about what happens when the company you started begins to do well, and you have to prioritize things that all seem equally important, and all seem like they need to get done at the same time. While they may not have any answers here, they do discuss what’s worked (and not worked) as far as Fathom Analytics is concerned.
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Jack and Paul discuss changes to how Fathom Analytics develops features, moving from long-lived branches to "continuous development." Why did we start doing this? What are the benefits? And most importantly, what could go wrong?
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