MoDaCo – Charitable Projects – 10K for £10k for Childhood Leukemia

MoDaCo are trying to rise £10,000 for Cancer Research, to help with the donations people have donated items for people to win. Everyone that donates to Cancer Research has a chance to win something.

The following details are from the MoDaCo post.

10K for £10K for Childhood Leukaemia

Help us raise £10,000 for Cancer Research and be in with the chance to win something cool for yourself!

If every follower donates just £1 on the Cancer Research site, we’ll hit the £10k target!

What is the ’10K for £10K for Childhood Leukaemia’ campaign?

Since the very early days of MoDaCo back in 2002, we have been involved with raising money for Cancer Research. When we’ve held our face-to-face events over the years proceeds have always been donated to CR and other fundraising efforts since have always contributed to this extremely worthy cause. Just recently I noticed that my follower count on Twitter was heading towards 10,000 and this got me thinking about whether I could use this following to do some good. This in turn led me to wonder if we could raise £10,000 for the MoDaCo Cancer Research ‘My Project’ in aid of Childhood Leukaemia, which equates to a donation of £1 per Twitter follower.

Of course, the best reward of donating to such a worthy cause is the knowledge that your are contributing to helping the most vulnerable of Cancer sufferers, but there’s no reason there can’t be an extra carrot of a gadget or two up for grabs is there…, hence we have a prize pool, the recipients of which will be chosen at random the end of the donation effort from those who have donated.

What are the prizes?

I have started the ball rolling by donating some of my personal tech to the prize pool and I have also invited some friends of MoDaCo to offer prizes too. I hope that the list below will grow as the effort gets publicised.

Donated by @paulobrien: The winner’s choice of either my personal Dell Streak or my personal Apple iPad

Donated by Clove Technology: 1 x Samsung WEP210 Bluetooth Headset, 2 x Samsung GT-E11080 Mobile Phones, 2 x £10 Voucher off ANY Clove order
Donated by DSL Developments: 1 x Brodit passive holder and the corresponding ProClip / Windscreen mount
Donated by HTC: 1 x HTC HD Mini
Donated by HTCCode: 5 x SIM unlocks
Donated by 1 x Blackberry 8520
Donated by MoDaCo member Mysterious Stranger: 1 x HTC Smart
Donated by ALK: 5 x CoPilot Live 8 (Pan Europe Maps Edition) for Android / Windows Mobile


More details here

Looks like we all wrong about IRC

I went to the Irssi website to grab the latest copy and saw this on the home page. It seems people who use and know what IRC is got it all wrong.

I was shocked at how wrong numb3rs go it. While people who know about IRC will laugh at how wrong it is, anyone watching it who doesnt know what IRC is now has completely the wrong idea about IRC.

I think this video response says it all.

TinEye – reverse image search engine

I was browsing the internet the other day and I came across this site and thought it was very useful so I thought I would post it up here

TinEye –

its search engine however instead of typing text of what you want to search for you upload or provide a link to an image you want to look for and it will find images based on that image

for example you see someone has posted a picture of their desktop that you like the back ground image to however it has icons, etc on it, you can upload it to TinEye and if an image that looks the same is in its database then it will show you list of results.

so say I saw this and wanted to to find the original image.


I could upload it to TinEye and get the original image


or put this in


and get this


its also useful if you have an image and want to see if you can get it in a higher resolution.

From the TinEye website

    What is TinEye?

TinEye is a reverse image search engine. You can submit an image to TinEye to find out where it came from, how it is being used, if modified versions of the image exist, or to find higher resolution versions. TinEye is the first image search engine on the web to use image identification technology rather than keywords, metadata or watermarks.