Can’t find that post, but here is a breakdown of claims from an interview she conducted a few months ago: https://www.reddit.com/r/Supplements/comments/1jo8pk8/my_top...

I'd really love to see last week's information. Especially since you launched on a Monday, I'd love to have a new-user experience that shows me last week's info.

Other misc feedback:

1. Upon launching the app, I didn't see any data. Had to go into the gear menu -> approve health data sharing. I think it'd be better to push the user to this approval flow on their first session? (Edit: Aha, after watching the video: settings -> time period -> last 7 days)

2. Neither here nor there, but I wanted to download this so searched the app store on my phone for "heart rate zones plus" and this app was #16. I'm curious if anyone in the discussion knows -- how is this search rating determined? Is there anything the author can do to improve the ranking?

> that's a great use case! the aria snapshot that browser mcp generates is enough to write tests for playwright using its role-based locators, but i may add a get_page_html tool in the same way that they're considering: https://github.com/microsoft/playwright-mcp/issues/103

https://x.com/roadtoramen/status/1909356255866733044

Great article, congrats on releasing!

Agreed on migrations!

1. You wrote "For example, schema validation and migrations just sort of fall out of the design for free." - very curious to read about what you've found to work well for migrations! I feel like there's a lot of nice stuff you can build here (tracking schema version as part of the doc, pushing migration functions into clients, and then clients can live-update) but I never got the chance to build that.

2. Do you have a recommendation for use-cases that involve substantial shared text editing in a TCR system? I'd usually default to Yjs and Tiptap/Prosemirror here (and am watching Automerge Prosemirror with interest). The best idea I've come up with is running two data stores in parallel: a CRDT doc that is a flat key/value identifying a set of text docs keyed by UUID, and a TCR doc representing the data, which occasionally mentions CRDT text UUIDs.

I’d be curious to know about memory usage, too.

Are there any alternatives you’d also suggest evaluating, and any particular strengths/weaknesses we should consider?

I’m also curious about doing quality metrics, benchmarking, regression testing, and skew measurement. I’ll dig further into Langfuse documentation (just watched the video so far) but I’d love any additional recommendations base on that.