App Store 2026 in numbers: AI, pricing, abandoned apps

Is a "recent orders" or "reorder" feature not enough to meet this demand if you frequently order the same thing from the same place? I don't quite understand the need for a middleman LLM here.

When you're asking for suggestion, is that a completely random suggestion to try new dishes or a pre-selected range to randomise from a choice of things you've already pre-screened?

I may be completely out of the loop here, so forgive me if I'm missing details, but I always have and continue to believe that the coding prowess of LLM agents more-or-less comes down to the sheer abundance of data it has trained off of on the web, and that code itself is ideal for LLM by the way it is discrete and syntax-bound, same as the way LLM can write very well provided they've read more-or-less the same sequence of text before in abundance. For the speed advantages it provides in coding, and for the accuracy it has for well-established information, LLM is a very useful technology.

I just don't follow how they are going to do the same thing with such granular telemetry data, such as datasets from a day of nutrition or a workout. The values are continuous, minute, and are so parallel to noise in the way they are provided. Take running. If you dumped a .fit file from a Garmin or other watch with a series of heart rate values, paces, elevation levels, GPS co-ordinates, respiration rate, vertical oscillation etc, and you trained on a bunch of files like this, the values are so discrete that I can't understand how it would connect them and tokenize them across different people or even the same person's various workouts, with the high degree of factors (nutrition, climate, illness/injury state and severity) that can alter those values. It's no longer about just tokenizing text, but with advanced calculations.

I've seen second-hand through friends in running with apps like Runna that it produces plans that aren't suited for them at all. There's simply too many small variables that these things don't seem to be able to map. It gets caught up on summaries of runs. It can give general advice about things, but it doesn't have the level of detail or understanding necessary to give good guidance. Strava "AI" and Garmin "AI" just make a 2-3 line summary from the average data from the entire run or workout.

Perhaps this is something that is already being worked on, and I would be happy if it was, but I just can't personally see how LLM can work with such datasets in a detailed way, beyond the useless summaries Garmin and Strava give "You ran 10km in 35:00, with a pace of 3:30/km. This shows that your speed is improving". I would love an explanation/links on how LLM can get around this if anybody is willing to spend the time providing it. Happy to have my mind changed.

Is that really true outside of the HN bubble? I'd like to see some studies that back it up.

I wonder how open these services will be to data storage if they do become a "universal app". If I used LLM to make an app for tracking training for endurance running, and I slapped an 800kb .fit file in there each day, the storage for all of these files would probably be fine, but without condensing each run down to a textual summary like Garmin/Strava currently does ("You ran 10km in 35:00, at a pace of 3:30/km. This improved your speed/{vague motivational LLM quote}"), wouldn't the context become enormous after a pretty short duration, causing huge costs? Genuinely curious.

a) I won't trust booking's own assistant or "AI" and it will be garbage if/when they introduce it (despite fact that in order to handle it correcly it would need to have amount of information about me and my family and my trip that im not comfortable to provide them)

b) They will block 3rd party/independent assistant via CF or other measures - they want you to be on their property browsing on their terms upselling you features, not access via API/MCP

c) chat interface and general UI clunkiness related to AI and this kind of use case - when browsing booking I'm able to narrow to offers I want quickly, where accommodations are located on the map etc, lol, just thinking about doing all of that via chat UI and even more via voice interface makes me tired