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I love this product. Earlier I was using onetab (https://www.one-tab.com/) to de-clutter my tabs and revisit later (this product doesn't sync across) devices. But in different occasions - Chrome Browser Crash, MackBook Crash I have lost 2K+ links. After that incident I came across raindrop, and that made my life easier. I have tried Brave Browser Sync Chain to sync tabs and data across devices. But I still went back to FireFox - I tried xBrowserSync(https://www.xbrowsersync.org/) to sync the data across browsers, but lost the key after one browser update and left it.


is it better than prophet from meta?


I imagine they're both worse than good old exponential smoothing or SARIMAX.


Depends on use case. Hybrid approaches have been dominating the M-Competitions, but there are generally small percentage differences in variance of statistical models vs machine learning models.

And exponentially higher cost for ML models.


At the end of the day, if training or doing inference on the ML model is massively more costly in time or compute, you'll iterate much less with it.

I also think it's a dead end to try to have foundation models for "time series" - it's a class of data! Like when people tried to have foundation models for any general graph type.

You could make foundation models for data within that type - eg. meteorological time series, or social network graphs. But for the abstract class type it seems like a dead end.


These models may be helpful if they speed up convergence when fine tuned on business-specific time series.


so this TimesFM is also in the same category as TimeGPT from nixtlaverse?


is there a ranking of the methods that actually work on benchmark datasets? Hybrid, "ML" or old stats? I remember eamonnkeogh doing this on r/ML a few years ago.


Prophet was pretty bad so yes, but it doesn't seem much better than ARIMA


what about neuralprophet came after prophet? some companies like mixpanel mentioned in their documentation that they are using prophet for forecasting/anomaly detection


my colleagues' mbp m2 got into recovery mode after sonoma 14.3 update. it is mdm managed and the recovery key got from the IT is not able to decrypt the disk. login accounts tied to the drive also not able to unlock the disk. IT reached out to apple support and waiting response. because of silicon no other methods like in intel, getting into the machine works. does that mean no way of getting the data back? is it possible to install a fresh mac installation on a external disk and access mbp internal disk for decrypting?


Why does your IT department MDM devices but not have backups and/or why is any substantial amount of data not synced to servers, in repos, etc?

Given how fast networks and storage and processors are these days - if something takes more than an hour or two of diagnostic time and rarely happens, you just nuke the machine and re-image.


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