“What have I done!?”

I’ve gone back to the traditional use of Twitter. The method more than 95% of the userbase uses it for. I now use it to stay in touch with the people I’ve met and know personally, rather than using Twitter as a medium for info aggregation. It’s not possible to use Twitter how I did in the past.

If you know my series on flow (it kicked off here), you know what I was doing and how cool it was. I got the idea partially from Robert Scoble’s entry, The Secret to Twitter. His use was brilliant and it worked amazingly well!

Back in March of ’08 I began following any interesting person I thought to be intelligent and putting out informative tweets. Primarily I found people in the software development, new media, aviation, library science, and management arenas. I ended up following 6,218 people at the high (last week). Everyone’s updates were viewed in IM and I would see an amazing flow of information.

Usually hundreds of tweets per minute, forcing me to read very quickly and get a quick read on the blogging, technology, and media areas in a short period of time. It allowed me to find articles and posts that would have filtered in slowly on RSS (arguably, if I had more than my 632 RSS feeds I’d find more information here, too).

It was great. Flip on iChat over breakfast and watch the flow while eating granola and yogurt. An ideal start to the day.

But in the last week I’ve culled over 4,000. The removed are people who don’t follow me and who I never met in real life. The chance of our interaction is very small, and if we meet I’ll follow.

I’m looking forward to having more intimate interaction with friends and followers. Focus will shift more towards FriendFeed and Google Reader (RSS).

On Twitter, the numbers for friends (people you follow) and followers (people who follow you) are being misreported. The most common tweet today is about one’s follower count dropping off. This is telling of your personality, and not in a good way.

If you’re complaining about your follower count dropping off without your realizing your friend count dropped too, you’ve probably only been paying attention to building numbers. You’re also describing to the world that you didn’t care about losing touch with your friends.

For the record, I first noticed my friend count dropped. Over the year or two on the service, I’ve built up a friend list of ~6200 extremely interesting people (~2100 follow me). When I saw my friend count dropped, I checked my followers to verify. My tweet was, “Wow – number of people I follow and who are following me just dropped by more than 1000 each. Not good!”

While they reboot the service and get your numbers back to normal, take a moment to consider what matters. If you’re that important, they’ll find you again.

Twitter has been having all kinds of scaling challenges. There have been hundreds, if not thousands, of posts on the subject. Dave Winer pushed an idea for a decentralized Twitter (and has since admitted the power of Twitter is in its centrality). There is a single, simple, reason for Twitter’s challenges – Math is against them.

The facility of communication on the Twitter service is absolutely outstanding. I’ve written extensively about using it to receive an amazing amount of quality information in my series on flow.

I originally questioned the scaling ability of the service prior to SXSW, but when the service held up I went back to the drawing board to make sure my numbers were correct.

Before continuing, let’s establish the basics about the service so the math will make sense…

• Each Twitter account can follow any other Twitter account (bear with me and forget those accounts with private updates).
• Messages travel in one direction, from the updater to the follower.
• Each account has updates from other accounts it follows placed in its timeline.
• A Twitter account can selectively receive pushed updates immediately via instant messenger and SMS in addition to having an update added to its timeline.
• An update added to an account’s timeline may or may not be push based (lets assume it’s demand driven, or pull based).
• An update sent to an account from an account denoted as SMS or IM announcement is push based (there is no other way to send an update – it must be actively pushed from the server).
• The mere possibility of an update needing to be pushed requires the system to check with each follower’s settings, thus requiring analysis of each follower for each update.

A warm-up equation

If there are one hundred (100) users and each user follows ten (10) fellow users, and each user sends ten (10) updates per day, assuming all updates are push-based, how many updates are sent?

The answer is 10,000 – each sent update (100 users x 10 updates) is forked out to 10 followers who have requested push updates. This is a very large number of updates to send out via SMS or IM compared to the base of users.

A very important fact: It doesn’t matter if a user follows with the intention of receiving an SMS or IM update. The possibility of an updating needing to be pushed requires Twitter to examine every follower when an update is received.

From 1999 to 2004 I worked as a software engineer at Mplayer (who then changed names to HearMe, who then sold their video technology to LIvVE, who then was bought by GameSpy).

As with any chat room, the scaling is similar to Twitter. We had to restrict rooms to 500 users (and had insanely reduced reliability as we approached 500). As shown with the warm-up, each message is forked out to every user. We capped at 500 in a chat room because each user in a room contributes some amount of messages, and therefore as users join a room the traffic grows exponentially.

Official and unofficial numbers

According to Twitter’s blog post with stats, 50% of the Twitter population has 10 followers. 10% of users have 80 or more followers. According to TechCrunch’s research there were 200,000 active users posting 3,000,000 updates per day (as of the end of April 2008). The average Twitter user posts 15 updates per day (3,000,000 divided by 200,000 = 15).

We’ll use Twitter’s percentages in their blog post and combine them with TechCrunch’s numbers. From this, we know there are 100,000 daily users with 10 followers and there are 20,000 people with 80 or more followers. To keep things simple, we’ll leave the other 80,000 daily users out of the equation for now.

• 100,000 users x 15 updates per day x 10 followers = 15,000,000
• 20,000 users x 15 updates per day x 80 followers = 24,000,000

For laughs, let’s put in the top 10 Twitter accounts with the most followers (beware, there were fights over this).

1. Kevin Rose x 15 updates per day x 46,646 followers = 699,690
2. Leo Laporte x 15 updates per day x 44,948 followers = 674,220
3. Barack Obama x 15 updates per day x 42,201 followers = 633,015
4. Alex Albrecht x 15 updates per day x 30,348 followers = 455,220
5. Jason Calacanis x 15 updates per day x 28,773 followers = 431,595
6. Robert Scoble x 15 updates per day x 28,037 followers = 420,555
7. Mars Phoenix (rover) x 15 updates per day x 26,828 followers = 402,420
8. Veronica x 15 updates per day x 26,199 followers = 392,985
9. John C. Dvorak x 15 updates per day x 24,102 followers = 361,530
10. MacRumors x 15 updates per day x 23,846 followers = 357,690

Total of average users + top 10: 43,828,920 updates delivered per day.

And that’s half of the Twitter user base, mixed with a tiny fraction of the users who have large number of followers. Realistically, my estimate above is less than 10% of actual traffic because I’ve left out the 40% and have not included the thousands of highly popular users with more than 80 followers. Additionally, the number of followers for the people in the top-10 has grown between 50 and 100 percent since the end of April! (Twitterholic)

This puts Twitter’s actual message analysis and possible delivery between 100,000,000 and 1,000,000,000 per day.

This also does not include a single page view or web service call to their servers. Those alone account for a huge amount of Twitter’s traffic.

Compared to IM traffic

Back in 2005 (ZDNet) there were 13.9 billion instant messages sent per day, with estimates of quadrupled traffic by 2009 (46.5 billion). Instant messaging is divided up among a few primary services and IMs are one-to-one. According to Wikipedia, AOL AIM has 53 million users. If Twitter became as widely used as AIM, it would grow 265 times (53,000,000 divided by 200,000).

Take our findings for the number of delivered (or analyzed) updates on Twitter and multiply by this growth and you find Twitter has to be capable of delivering between 26.5 billion and 265 billion updates (probably much closer to the latter).

How can Twitter scale?

Decentralized XMPP is probably the answer, but I don’t really know. I can see the problem though. If they grow to having one million daily users, they have between 500 million and 5 billion messages to deliver. If they grow as popular and as relied upon as AIM, they’re staring straight in to their own exponential order of magnitude.

While doing my typical searches for new and interesting people on Twitter to add to the flow, I noticed something indicative of Spring cleaning. You see, when you search Twitter, you usually get pages of people who haven’t updated in a year or accounts with zero updates – ever – and six months stale.

None of those cases seem to be true for my latest search results. There are a couple accounts with no updates in a year, but they’ve got a lot of updates, so they’d likely not be pruned. Either Twitter created a better search algorithm (unlikely, since the results are haphazard and not chronological) or they pruned the dead accounts (makes a lot of sense – I myself got an old account). When I’ve worked at community driven companies, we’ve done plenty of account trimmings.

Twitter doing prunings makes a lot of sense. This is a benefit to the user base, and a huge benefit to Twitter’s load. If this is truly the case, you might do a search for your favorite name about now… And if it isn’t, at least rejoice in a better mechanism to find the people you’re looking for.

Courtesy NASA Glenn Research Center

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I’ve been using Twitter as a main source of news and entertainment (it’s entertaining and informative to have commentary coming in with links, events, articles, and photos). Most everything pertinent to my areas of interest are discussed, so the latest news is passed around as discussion.

As my series on flow describes, my Twitter stream is received through a GTalk client and I’m receiving about 30 to 40 tweets per minute.

This is a lot of incoming information. A lot more than one could read and keep up with all day. It’s valuable for periods of time… Jump in to the river, jump out. This is sort of like news.

Now, I love RSS. I spend a good hour per day reading feeds. I believe it will be the standard in syndication for years to come. And maybe it will be the format passed over XMPP channels, too. In using Twitter for my flow of information I have discovered how amazing real-time updates of news can be, and how HTTP (the current method of pulling RSS feeds from various servers) isn’t powerful enough.

Imagine Google Reader being push based. Instead of periodically receiving items every five, ten, or fifteen minutes. You receive new blog entries, articles, etc, within milliseconds of their publication. This becomes amazingly powerful because you are no longer reading what happened, you are participating in what is happening.

Comment systems become conversation engines. Discussions and exchanges of information become natural, rather than one-way.

HTTP and web services, with their beautiful RESTfulness, won’t be going away. They have a very effective place for on-demand pulls of data. What I’m describing is a move away from HTTP and web services which currently poll – the enablement of FriendFeed, Twitter, blogs, and news services to fire off announcements on a push basis…

Nobody wants to wait three minutes before receiving their next round of updates. We want it when it happens.

(interior picture from The Towers of Numar, by Michael Gagne)

It’s been almost two weeks since I started using Twitter as a primary source of news, links, and other fascinating bits of information. The approach has been awesome and I’ve discovered a ton of people and sites which I now return to. It’s been eye opening.

But I’ve been missing sites previously frequented. The time I’ve spent in the flow cut in to time spent reading feeds and visiting sites. And while my Google Reader feeds are grossly limited compared to the nearly 5,000 people I follow on Twitter, there is still some attachment and familiarity that goes missing.

I share my Google Reader items as a feed (RSS) or on a page (HTML), and of course it’s aggregated on my FriendFeed. I am ‘sol‘ on Twitter.

To do this, you need to set up Twitter so you’re getting (or also getting) your updates via a GTalk/Gmail account. It’s very easy:

First – set up Chat in Gmail

1. If you don’t have a Gmail account, get one! After logging in, go to “settings” and hit the “Chat” tab.

2. Choose to “Save chat history in my Gmail account”.
3. Save this setting.

Second – set up Twitter to send notices to your Gmail account

1. In your Twitter account, go to “Settings” -> “Phone & IM”.
2. Enter details for your Gmail account.

3. Save the settings.
note: Only updates from Twitterers you follow and are selected for IM updates will be sent to your Gmail account.

Last – Log in to Gmail and keep that browser open

1. Choose to Sign into chat. Your Twitter updates will start arriving in Gmail.
2. Keep a tab or window open. If you log out of Gmail, or close the browser or tab, the updates will stop arriving since Twitter only sends updates to users that are logged in. Simply keep a browser tab open (very easy to do if you’re already a Gmail aficionado).

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When following a lot of friends in a flow environment and using XMPP, one sees the above numbers in less than ten minutes. I’d been using Adium, but Adium doesn’t smooth scroll between each received tweet. It constantly jerks messages upwards and has made it virtually impossible to have a meaningful experience. There are often times when I want to read each incoming tweet. A good, smooth, reading experience was needed.

iChat has a slightly smoother hit at each received message, and is therefore much more enjoyable to read. The interface is customizable enough, but nothing quite as nice as some of Adium’s minimal themes.

I was mostly hesitant to switch since Adium has outstanding AppleScript support. I’ve been thinking of prototyping something (given a couple hours – someday). Apparently iChat has something even better which I should have known about… Callbacks! A script can fire for each received message.

This will make dynamic, real-time, filtering a reality.

The start of something very cool…

Useful link: flow entries

Follow me on Twitter: sol

I read the flow of XMPP Twitter traffic with breakfast and in the evenings. I then scan it when checking email or if I catch a lot of added traffic on the IM window. The part which most people don’t understand is how this translates and how it’s even immaginable to distinguish signal from noise here.

It’s easy. I’m now following over 4,000 fellow Twitterers (Twitterites? Twitterans?). The TPM (Tweets Per Minute) ranges between 20 and 35. This equates to the Twitterers I’m following announcing, approximately, once every two hours (obviously some are once a day and some are every 10 minutes).

Reading the flow at this rate is easy. You have tweets coming in 24 hours per day, but you absolutely can’t follow it the entire time. Feeling like you have to read every Twitter announcement your friends send is the first psychological obstacle to get over. Once you get beyond that feeling of needing to maintain control, you free yourself to dip in to the news of the moment as reported by everybody.

To ensure I’m not missing any messages specifically to me, I keep a browser tab open (usually immediately to the right of my GMail tab) to the Twitter Replies page.

The main trick to keeping a strong signal is being selective in who you follow. By tuning this early, you avoid needing as much filtration later. To date I have only filtered out a single spammer account.

One last point is that some feel this approach is a pull technique in which I’m getting, but not giving back. I  disagree. I submit my status and the special news and information I come by. I encourage people to follow me so they’ll be able to have an insight in to my thought processes and activities.

Given the present rate of flow, I see 10,000 as the next step. It’ll take a while to get there with a selective approach. In the meantime I’m interested in metrics and whether Twitter will continue to be a best source of this data.

Any service could provide an XMPP flow… Imagine Facebook, MySpace, Pownce, etc, offering an XMPP feed of updates. FriendFeed with an XMPP flavor would be incredible.

A lot of people asked how to order their own… You can get one for $20.00 at reactee.com. They ship pretty fast. I ordered on a Friday and received it on Monday (today).

UPDATE: I signed up for an affiliate program with them after getting the shirt. I’ll keep a tally and update this blog entry with the number of people buying them.

Here are my previous flow entries so you’re up to speed:

• Day 1
• Day 2
• Day 3
• Day 4
• Day 5
• Day 6 (no post)
  

I’m visiting my in-laws this weekend so haven’t been spending much time in the flow this weekend. However, even with short stints I’m finding a recurrent issue. Each day I think I’m going to hit a maximum number of people I can pay attention to. Each day I’m proven wrong. There’s an adaptation that takes place.

I’m following almost 3,400 and it’s working very well. I could imagine 5,000 being more than comfortable. Even on a standard IM client, the data flow is manageable. Most IM clients don’t smooth scroll, so it’s annoying to have each incoming tweet snap prior tweets upwards.

I’ve been thinking of the outline for a high-traffic Twitter client spec:

• XMPP for tweet flow.
• Web Services harnessed for contact management.
• RSS/Atom integration for pulling articles from Twitterer.
• Caching of existing Twitter contacts to embed information in to the XMPP traffic.
• Search and real-time filtering.
• Ability to only show tweets with links.
• Additional filters based on: Age of Twitter of account, Location, number of tweets, ratio of following/friends, has non-default avatar, has non-default twitter design… with real-time color-coding of tweets.
• Ability to favorite a tweet that came through XMPP.
• Auto-pull of a Twitterer’s most recent blog entries (requires a scan for RSS feeds on the Twitterer’s home page, then pulling/parsing those items).
• Auto-addition of Twitterer’s RSS in to Google Reader or other items.

With the above, one would have a complete Twitter news-room. One could immediately see what’s flowing and have access to a Twitterer’s additional information. This may be possible with a Flash or Java application, though I’d prefer a highly portable objective-C or C++ app. Maybe even ported to mobile clients (maybe, maybe).

Links: Day 1 – Day 2 – Day 3 – Day 4 – http://twitter.com/sol – http://solyoung.com

This morning’s Twitter experience has found some bugs in the system. Last night I added a few hundred friends but didn’t go through my email for add announcements… Doing that now.

Most of the friends I added have added me back – I think making it clear I’m not a spammer and that I genuinely want to participate and learn from everyone in a flow helps here. There are some bugs with Twitter’s pages I’ve run in to.

As I go through my email I’m opening each person’s add announcement and visiting their Twitter page to confirm I’m following them. It would be great if the email described one’s own following status in relation to the new follower. As I visit a person’s page which I know I’m following, it shows the “Follow” button. Huh? When I click Follow, it immediately shows Updates as being on. My following count increases too.

Perhaps there is a difference between follow requests from a page and from the XMPP request? Maybe the AJAX request for following a person is getting bumped by the followup request to have notifications on?

In any case, I hope I’m not annoying people with multiple add emails this AM. If you’ve gotten more than one announcement from me, I’d be interested to hear about it.

As noted above, the flow is presently at 10 TPM. I expect the speed will increase by about 50% by 9:00AM. It’s pretty neat to see this kind of metric and have it readily available.

• Day 1
• Day 2
• Day 3

It’s been 4 days with a flow approach to receiving data. I skipped adding more people today and focused on getting used to the incoming content. It’s become easy to follow along, so I’ll be adding again. Last night I experienced a reading nirvana while reading Robert Scoble and Shel Israel’s Naked Conversations (on the Amazon Kindle)… My reading was faster than ever. Unexpected and a real thrill.

The amount of data one can ingest seems like it could become a real measure of intelligence, like a hybrid or modified number of pages one can read per hour. Unlike pages, characters or kilobytes are easily measured and this type of ingestion stat could become interesting.

Today Twitter’s XMPP went offline for a couple hours. It was odd to not see movement out of the corner of my eye. Having the flow is no longer distracting (except when it’s not moving). I have it on the right side of my right hand 24″ monitor, and I scan it for links and more interesting items when I spend time on email (once an hour or so).

The metrics for the day with 2200 friends (averaged over a period of 10 minutes – after the jump):

• 6:00AM EDT: 11 tweets per minute.
• 8:30AM EDT: 16 tweets per minute.
• 2:00PM EDT: 23 tweets per minute.
• 4:00PM EDT: 25 tweets per minute.
• 5:00PM EDT: 22 tweets per minute.

It’s easy, out of the corner of your eye, to see flow increase and decrease in speed as interesting topics pass by.

Dave’s blog mentions wanting a timed mute feature which doesn’t notify or remove a friend from your list. This would be so easy in an XMPP client. Just use the ‘off [username]‘ command via an AppleScript Adium Xtra. An iCal reminder could be set to reset it, or a more elaborate database could be built.

I’m still daydreaming of the perfect XMPP application for combining Twitter traffic and other features. A smooth-scrolling, highlighting based on friend rating (perhaps by popularity or personal setting), app with web service API harnessing contact management would be insanely useful.

To save Twitter’s servers from getting buried in XMPP traffic, I could see value in flows covering certain genres of people. This would basically be an XMPP rebroadcast people could subscribe to. XMPP could start getting traction because of this.

Google, with their search algorithms could be king in this space. I’d expect Yahoo! to be great here too with an XMPP version of Pipes. The whole flow experiment thus far feels like digging for information before Google came along and offered exactly what you wanted. Except in this case, you’re getting an obscene amount of what you want… And I can’t wait for more.

UPDATE & CORRECTION: In the original post I incorrectly identified Naked Conversations as being written only by Robert Scoble. Shel Israel co-authored the book with Robert and it was neglectful on my part to have not given him equal credit. I offer my sincere apologies and a thank you for the correction.

Additional links:

• Scoble’s take
• Dave’s block-with-timeout
• Steve Gillmor’s Swarmtracking

• Day 1
• Day 2 

Image courtesy of Komax Systems

Day 3

The question most people have been asking is, “What is the flow like?” Many have described this amount of flow as unmanageable and anti-social. Here’s what I’ve learned first-hand by Day 3…

After wrapping up yesterday’s post and promising to add 500+ friends per day, I destroyed my sleep cycle by obsessively discovering more than 1,000 new people. Since I’m a developer and VP of Engineering at iofy, I focused on developers and technology gurus. I’m also fond of the marketing and sales spaces as they relate to social networks, so spent some time beefing up that area of the flow too.

I do this by finding the most intelligent/witty/interesting people I can and spider through to their friends. Unlike a spammer, I only add a person if their tweets have been interesting and intelligent and I feel they’ll contribute to my education.

I woke this morning to a faster flow. At times today it closed in on my maximum reading speed, especially 9-5. With ~2,200 friends I’m now able to see instant changes in volume based on time of day, news, etc. Last night at 1:00am EDT, it was trickling. Before getting to the office it was still slow. Later, it drastically picked up. I’m getting metrics now and will share them tomorrow.

Our company president, @cart, supplied me with Steve Gillmor’s “Swarmtracking” this morning. Steve has a very similar approach but instead of using a Jabber client he uses the built in GMail web app and has search criteria. His article describes some good methods for tuning and searching, but the methods are distracting and require action (clicks). I also disagree with comparing this to a tracking system. One can use it that way, but it’s so much more powerful as a system for being fed valuable information.

What is the flow?

Reading and consuming the flow is like streaming a Google Search of the latest happenings that relate to you. Imagine a constant stream of somewhat relevant information. You scan as links and tidbits pass by. When something catches your eye, you click a link or respond with insight. Depending on one’s popularity, the flow splashes, much like a rock tossed in a river. One can see multiple splashes as multiple topics hit your flow at the same time.

The “Replies” page on Twitter.com works as an automatic net so I can listen to anyone speaking directly to me. It’s an automatic net and no further filtering is needed.

Unlike an RSS reader, this is real-time. My preference is to have an RSS reader open in 3/4 of my monitor and the flow open in the other 1/4. It’s immersion.

Additional thoughts and how-to (after the jump):

The tools I’ve been using are the twitter.com web site, Quotably.com, Adium as an XMPP/Jabber client, and email.

I use Twitter’s site for locating friends. I’m at the point where I’m almost ready to write my own API wrapper since their AJAX for managing friend additions and updating settings are buggy…….. <geek-speek>My dev team implemented a three-peat system at iofy for AJAX calls to avoid these bugs… AJAX calls for data frequently fail. I think Twitter just bombs out after a single failed try</geek-speek>. Their system would be more reliable with our approach and I wouldn’t have had to double and triple add people (sorry to those that received multiple add notices).

Adium is wonderful for reliably rendering the flow. You need to have a very easy to read font and have the updates spaced logically to differentiate them. Any more updates than present and it will be mandatory to have smooth scrolling. As of yet I haven’t found a smooth scrolling message plugin – please leave a link in the comments if you know of one.

My follower notifications have significantly gone up since describing this transition. Whenever I receive one I click the link to view the Twitter page. If they’re interesting and intelligent, I add them.

The iPhone is usable as a replies mechanism by using Quotably.com. I hope they’ll create an iPhone enhanced version soon.

Some utilities I want and we’re sure to see soon for flow management (hint, start writing these folks…):

• Powerful Twitter contact management and connection utilities.
• Twitter specific XMPP client. This should have automatic highlighting/tracking of replies, smooth scrolling, and a rating system for your users.

Lastly, the ease of finding intelligent people seems to be diminishing. I’m far from having a hard time discovering the new, but it takes more effort. This also could be because I’ve been become more selective as I discover the precise types of personalities I want to mix in.

A couple days ago, after months of thinking about how to consume more information, I was inspired by Scoble’s post to switch off of a standard HTTP Twitter API polling application (Twitterific) and move to a Jabber based client (Adium). It has been an amazing discovery.

Initially, and until yesterday, I was using Twitterific to read posts from ~100 friends. I had SMS updates coming in to the iPhone for friends beyond the normal scope of Internet friendship (wife, co-workers, family). I bumped my friend count up to ~500 before my first flow entry last night

I picked these friends by viewing the friends of some of my other intelligent friends. If I found the last 20 posts from a friend in their list to be interesting and smart, I added that person as a friend of mine. If I found that friend to be exceptionally intelligent, I would review their friends and do the same process to find more. A tree diagram for contact spread would be very interesting!

500 friends created a slow flow in Adium (Jabber client). Today I followed the same process of friend finding and upped the count to 1,100. It seems intelligent people keep intelligent company (thank goodness!) and locating other intelligent Twitterers is not terribly difficult.

The flow speed at 1,100 is roughly 100 updates per 10 minutes (1 tweet per 6 seconds). Sometimes it gets much faster, but it’s easily manageable. With an approximate average of 100 characters per tweet and an average word length of 5 characters, this translates to 200 words per minute. At this point it is at a speed where one could read every post if they weren’t focused on other things, but more is tolerable.

I’m looking to have a flow that is well beyond fully readable. It’s supposed to be a river. I’m guessing this will be in the 5,000 to 10,000 friend range, but as I adapt it should grow. I’ll be growing my group of friends by at least 500 per day for the next X days to see how this works out.

I’m way beyond the point where I can pick out closely related friend’s tweets from the flow without software assistance. This also means it’s impossible to re-route the updates to a phone when away (my wife is happy about this ;). My solution has been to create a second account used only for following family and co-workers. My updates are still sent from the main sol account.

A latent side-effect of making all these new friends and finding all these smart people has been that they (likely, you) want to follow me too. Approximately 1/4 to 1/3 of the people I’ve followed return the favor and follow me. If you’re in to marketing don’t count on this lasting – I’m sure unscrupulous groups will use this against us and we’ll get a lot more careful in who we befriend.

For now, for those I’m connecting with, it’s a pleasure to meet you and thank you for making us all smarter.