The "indie apps" phenomenon has always selected for applications that are relatively simple in scope. If you're doing something that has a large scope, you either need a team large enough to start a business, or you need to go open source and take advantage of community contributions (either directly or by integrating yourself into a larger system that allows your particular application to have a narrower scope). However, simple applications are generally pretty easy to implement with AI, making it hard to justify paying for them.
Theoretically, there should be a gap of applications that are too niche to start a business off of and, prior to AI, too complex for an individual to write on their own, which is probably where any future for indie apps lies. I don't know of any examples of that sort of software though, does anyone know any?
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[ 8.9 ms ] story [ 59.7 ms ] threadKey takeaways: People don't like subscriptions for on-device apps, and people really don't like telemetry.
Theoretically, there should be a gap of applications that are too niche to start a business off of and, prior to AI, too complex for an individual to write on their own, which is probably where any future for indie apps lies. I don't know of any examples of that sort of software though, does anyone know any?
Applications built using deterministic code to work might just not be a thing people need to pay for anymore.
Maybe work relating to training ML can still have value? The compute cost and time involved in it add to the moat.