Dropbox in action

I’ve been running dropbox on my home laptop and work desktop for a few days now. It seems to be working amazingly well. Very user friendly, very quick. I have moved my data folder for Things (a GTD application) to the dropbox folder and after pointing the application to where its data had moved to it has worked flawlessly. My home and work machines are perfectly in sync. Now there are many other sync options but this one has the advantage of not having to remember to do anything, ever. The application at home and work are always in sync. I do not have to remember to press “sync” or close an application or anything. Remembering to sync before going home has be the cause of the failure at all previous sync strategies using a variety of sync software. Dropbox syncs continuously though in realtime.

I have also synchronised my Journler application. It has worked flawlessly again, even though I have the application open on 2 machines simultaneously (although I am only modifying one at a time obviously).

Papers has not been so smooth. I still need to investigate whether it is syncing properly or whether I am just imagining that some things are not updated. It could be that the application doesn’t write some data until it is quit, that would certainly cause problems I guess. More experimentation required.

I have also moved my folder of perl scripts to the dropbox folder. Not only does this sync between home and work but includes a versioning protocol. So if I modify a file I can go back and examine previous versions of that file and revert to one if I have messed things up. I know that svn etc do something similar but this has been idiot proof and has not required all the messing around to install that subversion seems to take.

Parsers

Parsers is a graphical user interface for text parsing operations. Developed by the same guy as produced the excellent Journler software is is likely to progress well. Although much of the functionality is usually accomplished by scripting and langages like perl manage this very well that approach isn’t for everyone. The GUI is nice and the functionality looks good. The application is described like this

Parses is “drag and drop text parsing and data mining”. The app is designed to help you preprocesses data so that you’re left with only the information you need in a format you can easily apply elswhere. In a visual environment you create and test re-usable, rules based documents for parsing well formatted text.

For example, let’s say you want to download your local weather information from an online feed. The temperature, conditions and forecast change by the hour but the html in which that information is contained otherwise stays the same. That is, the relevant information or variables change but the format remains constant. Parsers helps you extract the temperature, conditions and forecast from the feed so that you can use the information elsewhere, in a widget, your own webpage or a spreadsheet for example.

I haven’t had much chance to play with it yet, but it looks interesting for small repetitive tasks.