Usually at Dapper, we don’t do a big song and dance every time we introduce a new feature or fix a bug, if only because we introduce features and bug fixes daily. Today, however, we’re introducing a big release – MagicBox – of which we’re especially proud.
One of MagicBox’s important features is that it also listens to what you don’t want. If it highlighted too much, you can click on the extraneous items and MagicBox will suggest a new configuration that better suits your needs.
Our main goal with MagicBox was to simplify the experience, and using our new learning engine and the ability to “deselect” elements we’ve managed to get rid of the more cumbersome tools that we had before, such as the “sensitivity slider” and the “isolate” option. Now, to use Dapper, the only thing you need to be acquainted with is your mouse’s left button. Just give it a try and click away. If MagicBox didn’t highlight enough, click on the missing stuff and you’ll see how rapidly MagicBox corrects itself. If it highlighted too much, just click on the unwanted stuff and MagicBox will get rid of it in an instant. Don’t worry – just play with it – we promise that eventually MagicBox will always get you what you want (we have a strict money back guarantee policy :).
The second major update in MagicBox concerns Dapper’s backend engine. It just got faster, in some cases much faster (up to 10-15 times), more robust and more scalable. In particular our new backend will allow us to introduce new algorithms and abilities to Dapper much faster, and you’ll start experiencing it very soon.
Here is a list of the major updates in MagicBox:
– Clicking interface overhauled. Clicking page elements behavior completely changed, slider eradicated, new adaptive learning algorithm implemented. Result is that when you click something and it grabs too much, you just click the extraneous instances, if it removes something you want, you just click it. The algorithm learns with each click and approximates accurately what you’re looking for. This increases usability and robustness.
– Backend algorithmic infrastructure overhauled. This will make it easier for us to release algorithmic updates in the future. On some sites, we’re also seeing a 15x improvement in speed in Dapp execution.
– New algorithms implemented improving ability to extract content reliably.
– Bugs with back links improved.
– Borders in Dapp Factory switched to inner rather than outer, eliminating the case where you can click on the border accidentally.
Some known issues remain and we’re working hard to resolve them. We can’t do it without you, so please let us know when you encounter an issue.