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I made something similar but a bit more random. https://randomdomain.benbristow.co.uk https://randomdomain.benbristow.co.uk Keeps taking a random word from an

I made something similar but a bit more random. https://randomdomain.benbristow.co.uk https://randomdomain.benbristow.co.uk Keeps taking a random word from an English dictionary and a random popular domain extension (com/net/org etc.), pings it and returns the first one that responds. Quite fun once you sift through the parking pages. I need to work on something to detect those.

ALittleLight 6y ago
Ah, now that really is random! One idea for sifting parking pages that comes to my mind is using image recognition. I can easily tell when something is a parking page by looking at it, I bet you could get an ML model to do so with pretty good accuracy too. There is a class called fast.ai [1] which I personally found to be an amazing introduction to machine learning / deep learning. The first hour and a half course gets you using their library to make an image classifier that can differentiate dog and cat breeds. I bet by simply gathering training data (sites that are and are not parking pages) and reusing the same architecture used in that first class you could train a model that does a pretty good job of it. Once you could classify pages you could just pre-compute a large list, classify, throwaway all the parking pages, and make the remainder available to your user. 1 - https://www.fast.ai/ https://www.fast.ai/
- benbristow 6y ago
  Haha, cheers. That sounds pretty fun. Knowing myself though I'd just make a manual checker as most of the parking sites are ran by a few companies (e.g. GoDaddy etc.) so they'd be pretty easy to pick-up.
  - claymav 6y ago
    That plus a keyword search for words like parked, parking, buy now, etc. Might have similar effectiveness!
trungdq88 6y ago
Cool idea but the first 3 websites I get are all parking sites. I'm pretty sure with a simple keyword check, you can eliminate most of them. A small amount of fasle positives are ok in this case I guess.

ALittleLight 6y ago

Ah, now that really is random! One idea for sifting parking pages that comes to my mind is using image recognition. I can easily tell when something is a parking page by looking at it, I bet you could get an ML model to do so with pretty good accuracy too. There is a class called fast.ai [1] which I personally found to be an amazing introduction to machine learning / deep learning. The first hour and a half course gets you using their library to make an image classifier that can differentiate dog and cat breeds. I bet by simply gathering training data (sites that are and are not parking pages) and reusing the same architecture used in that first class you could train a model that does a pretty good job of it. Once you could classify pages you could just pre-compute a large list, classify, throwaway all the parking pages, and make the remainder available to your user. 1 - https://www.fast.ai/ https://www.fast.ai/

benbristow 6y ago
Haha, cheers. That sounds pretty fun. Knowing myself though I'd just make a manual checker as most of the parking sites are ran by a few companies (e.g. GoDaddy etc.) so they'd be pretty easy to pick-up.
- claymav 6y ago
  That plus a keyword search for words like parked, parking, buy now, etc. Might have similar effectiveness!

trungdq88 6y ago

Cool idea but the first 3 websites I get are all parking sites. I'm pretty sure with a simple keyword check, you can eliminate most of them. A small amount of fasle positives are ok in this case I guess.