Archive : August 2008

9 posts

It’s been worth the wait

Author: Charlotte Hillenbrand

A few of us at MxM have waited several weeks for O2 to sort out their supply issue with iPhones for business users (we nearly gave up and bought them as ordinary punters from Carphone Warehouse, but the Free of Charge thing seemed worth hanging on for…).

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Getting email around spam filters

Author: Alex MacCaw

Sending email programmatically can be tricky, especially if you’re sending it in bulk.

Unless you’re careful it tends to get marked as spam, and the problem is exacerbated by the fact you’re unlikely to know about it – users rarely trawl through their spam folder – and rarer still let you know your email has been caught there.

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Rails Security Auditing

Author: Alex MacCaw

I’ve recently been doing a bit of Rails auditing, and I thought that I’d just run through the main things I check; all fairly generic attacks that aren’t specific to particular Rails websites.

SQL injection
Actually, I haven’t seem much of this, probably because it’s one of the more well known attacks and people generally seem to be aware of it.

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Tutorial: Easy Rails recommendations with 'acts_as_recommendable'

Author: Stuart Eccles

Following up on Alex MacCaw‘s post on collaborative filtering. The plugin we recently released acts_as_recommendable allows Rails developers to quickly add some user-driven recommendations of items to their latest great millionaire-making startup. At Made By Many we’ve been developing some great niche social-media Ruby On Rails sites recently with New Bamboo and Headshift. The new edge of social media is in the maths, commenting and rating is so old-school, it’s what you do with that data that counts.

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Why we’re working with Rails

Author: Stuart Eccles

A few weeks ago I was quoted in a New Media Age article about Ruby On Rails and the London agency market (available online for subscribers) and it’s worth following up a few things, especially on Made By Many’s involvement with Rails.

At Made By Many we like to remain technology agnostic, which is why we don’t have a large team of developers. We feel this benefits us and our clients more by not overly invested in one thing that limits our creative output and may not be the best solution for our clients. This enables us to consult on the whole range of technology strategies and lets us play with best technologies around.

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Recommendations & collaborative filtering

Author: Alex MacCaw

Data-based recommendations have really revolutionized marketing and web services, making patterns out of the massive amount of information collected about people in order to give them relevant ads, products, friends and music as well as whole host of other things.

Amazon, for example, tracks my browsing history and buying habits to give me a list of products that I’d hopefully be interested in, and usually their algorithm is spot on. I’ve no doubt that recommendations have contributed greatly to their success.

Likewise, Last.fm indexes my music collection and tracks what I listen to in order to give me recommendations about music I haven’t listened to. Like Amazon, they’re usually give pretty good recommendations

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