“To my Bay Area friends and colleagues, you have given me so much in my time here, I can’t thank you enough. The time I spent out in California this past ten years has literally been life-changing. To my New York friends, I look forward to reconnecting.”

It’s great to see talented people getting rewarded for their hard work. Unfortunately, this is a loss for Yahoo! who needs forward-thinking leaders like Chad who can make things happen. Retention must be top of mind at Yahoo! before key institutional knowledge slips out the door and forces people to rethink things that have already been thought through.

There are lots of great reasons to participate in the future of Yahoo! where the Open Strategy stuff is unfolding. The Flickr Era set the stage for a lot of these smart ideas at Yahoo!. I only worry that the pace of release at the company will fail to create the impact that will make those changes matter. It’s not uncommon for great technology to lose due to bad timing.

The timing worked well for Chad and Etsy, though. He’s going to be a huge asset to Etsy at an important stage in its growth. If it wasn’t already, Etsy should be ranked high on everyone’s companies-to-watch leaderboard.

“An overall goal of EveryBlock is to point you to news near your block. We’ve been working hard to do a good job of this so far by accumulating public records, cataloging newspaper stories and pulling together various other geographic information from the Web.”

This generally takes the form of raw data points placed on maps. They recently rolled out a variation on the theme by using topic-specific data which adds more context to the local news reporting idea.

“A week or so ago, 15 people were arrested on bribery charges as part of a federal probe into corruption in Chicago city government. We’ve analyzed U.S. Attorney Patrick J. Fitzgerald’s complaint documents and cataloged the specific addresses mentioned within. On the project’s front page, you can view every location we found, along with a relevant excerpt from the complaint. You can sort this data in various ways, including a list and map of all the alleged bribe locations.”

This is the type of value that’s otherwise kind of missing from the experience. Rather than providing a mostly pure research tool, the site now gives some insight and perspective with an editorial view on the data. In this case, the data is telling a story that otherwise might seem a little distant to you until you see how the issue may in fact be a very real one right in your backyard, so to speak.

But it occurred to me that the community is probably even better able to capture and share this level of useful insight. It would be really neat to see EveryBlock open the reporting and mapping process so that anyone who has an interest in exposing the trends in their neighborhood or elsewhere had a platform to do so.

Similar to the way Swivel allows you to collect data in spreadsheet form, visualize it and then share it the way Flickr and YouTube allow you to share, EveryBlock could provide an environment for individuals to do the reporting in their neighborhood that matters to them. The wider community could then benefit from the work of a few, and suddenly you have a really powerful local news vehicle.

This isn’t necessarily in contrast to the approach Outside.in has taken by aggregating shared information from around the web, but it certainly puts some structure around it in a way that may be necessary.

Managing a community is a very different problem than aggregating and presenting useful local data. But I wonder if it’s a necessary next step to get both of these fledgling but very forward-thinking local media services closer to critical mass.

Marc Davis has done some interesting research in this area at Yahoo!, and Bradley Horowitz articulated how he sees the future of this space unfolding in a BBC article in June ‘07:

“We do a great job as a culture of “when”. Using GMT I can say this particular moment in time and we have a great consensus about what that means…We also do a very good job of “where” – with GPS we have latitude and longitude and can specify a precise location on the planet…The remaining two Ws – we are not doing a great job of.”

I’d argue that the social networks are now really honing in on “who”, and despite having few open standards for “what” data (other than UPC) there is no shortage of “what” data amongst all the “what” providers. Every product vendor has their own version of a product identifier or serial number (such as Amazon’s ASIN, for example).

We’ve seen a lot of online services solving problems in these areas either by isolating specific pieces of data or combining the data in specific ways. But nobody has yet integrated all 4 in a meaningful way.

Jeff Jarvis’ insightful post on social airlines starts to show how these concepts might form in all kinds of markets. When you’re traveling it makes a lot of sense to tap into “who” data to create compelling experiences that will benefit everyone:

“

• At the simplest level, we could connect while in the air to set up shared cab rides once we land, saving passengers a fortune.
• We can ask our fellow passengers who live in or frequently visit a destination for their recommendations for restaurants, things to do, ways to get around.
• We can play games.
• What if you chose to fly on one airline vs. another because you knew and liked the people better? What if the airline’s brand became its passengers?
• Imagine if on this onboard social network, you could find people you want to meet – people in the same business going to the same conference, people of similar interests, future husbands and wives – and you can rendezvous in the lounge.
• The airline can set up an auction marketplace for at least some of the seats: What’s it worth for you to fly to Berlin next Wednesday?

“

Carrying the theme to retail markets, you can imagine that you will walk into H&M and discover that one of your first-degree contacts recently bought the same shirt you were about to purchase. You buy a different one instead. Or people who usually buy the same hair conditioner as you at the Walgreen’s you’re in now are switching to a different hair conditioner this month. Though this wouldn’t help someone like me who has no hair to condition.

Similarly, you can imagine that marketing messages could actually become useful in addition to being relevant. If CostCo would tell me which of the products I often buy are on sale as I’m shopping, or which of the products I’m likely to need given what they know about how much I buy of what and when, then my loyalty there is going to shoot through the roof. They may even be able to identify that I’m likely buying milk elsewhere and give me a one-time coupon for CostCo milk.

Bradley sees it playing out on the phone, too:

“On my phone I see prices for a can of soup in my neighbourhood. It resolves not only that particular can of soup but knows who I am, where I am and where I live and helps me make an intelligent decision about whether or not it is a fair price.

It has to be transparent and it has to be easy because I am not going to invest a lot of effort or time to save 13 cents.”

It may be unrealistic to expect that this trend will explode in 2008, but I expect it to at least appear in a number of places and inspire future implementations as a result. What I’m sure we will see in 2008 is dramatic growth in the behind-the-scenes work that will make this happen, such as the development and customization of CRM-like systems.

Lots of companies have danced around these ideas for years, but I think the ideas and the technologies are finally ready to create something real, something very powerful.

Photo: SophieMuc

I find it interesting that people don’t generally refer to any of these as “web sites”. They are “services”.

I was fortunate enough to spend some time with Dopplr’s Matt Biddulph and Matt Jones last week while in London where they described the architecture of what they’ve built in terms of connected data keys. The job of Dopplr, Mr. Jones said, was to “surface coincidence”.

I think that term slipped out accidentally, but I love it. What does it mean to “surface coincidence”?

It starts by enabling people to manufacture the circumstances by which coincidence becomes at least meaningful if not actually useful. Or, as Jon Udell put it years ago now when comparing Internet data signals to cellular biology:

“It looks like serendipity, and in a way it is, but it’s manufactured serendipity.”

All these services allow me to manage fragments of my life without requiring burdensome tasks. They all let me take my data wherever I want. They all enhance my data by connecting it to more data. They all make my data relevant in the context of a larger community.

When my life fragments are managed by an intelligent service, then that service can make observations about my data on my behalf.

Dopplr can show me when a distant friend will be near and vice versa. Twitter can show me what my friends are doing right now. Wesabe can show me what others have learned about saving money at the places where I spend my money. Among many other things Flickr can show me how to look differently at the things I see when I take photos. And del.icio.us can show me things that my friends are reading every day.

There are many many behaviors both implicit and explicit that could be managed using this formula or what is starting to look like a successful formula, anyhow. Someone could capture, manage and enhance the things that I find funny, the things I hate, the things at home I’m trying to get rid of, the things I accomplished at work today, the political issues I support, etc.

But just collecting, managing and enhancing my life fragments isn’t enough. And I think what Matt Jones said is a really important part of how you make data come to life.

You can make information accessible and even fun. You can make the vast pool feel manageable and usable. You can make people feel connected.

And when you can create meaning in people’s lives, you create deep loyalty. That loyalty can be the foundation of larger businesses powered by advertising or subscriptions or affiliate networks or whatever.

The result of surfacing coincidence is a meaningful action. And those actions are where business value is created.

Wikipedia defines coincidence as follows:

“Coincidence is the noteworthy alignment of two or more events or circumstances without obvious causal connection.”

This is, of course, similar and related to the definition of serendipity:

“Serendipity is the effect by which one accidentally discovers something fortunate, especially while looking for something else entirely.”

You might say that this is a criteria against which any new online service should be measured. Though it’s probably so core to getting things right that every other consideration in building a new online service needs to support it.

It’s probably THE criteria.

In Fred Wilson’s recent Cautionary Techmeme Tale he argues that making news popular takes away its social context and therefore becomes meaningless. He found Techmeme more useful when its sources more closely resembled his network of friends:

“For years, I’ve been using curators to filter my web experience…Techmeme has been the killer social media curator for my world of tech blogs. Lore has it that it was created using Scoble’s OPML file. It doesn’t matter to me if that’s true or not, I love that story. Because my OPML file was unusable until I found Techmeme and after that I stopped reading feeds and started reading curated feeds.”

This feeds into a larger argument about why pop culture and the art of being or becoming popular can be a bad thing. Not long ago I was inspired by the movie “Good Night and Good Luck” to dive into this idea myself:

“The real problem with popularity-driven models is that they reduce both the breadth and depth of the sources, topics and viewpoints being expressed across a community. Popularity-driven models water down the value in those hard-to-find nuggets. They normalize coverage and create new power structures that interesting things have to fight through.”

This is exactly why personalization, recommendations and social media technologies really matter. They can solve this problem of creating conformist media consumption practices by creating relevance through networks of people rather than through networks of commercial institutions.

I haven’t used My Yahoo! as much as I’d like, but there is a simple function in it that I love which could ultimately create amazing benefits for people who want a human filter for the Internet. It’s called “Top Picks”.

“The Top Picks module automatically highlights stories from your page, based on the articles you have recently read on My Yahoo! The more stories you click on, the more you will see this module reflect your interests.”

Actually, the technology beneath it is not so ’simple’ but the application of it here makes so much sense that it feels like it’s simple when you watch it work. It works by using implicit behaviors. I don’t have to tell it what I like. It learns.

If it could also show me what my social network is tapped into right now, then the experience would feel nearly complete.

Media researchers will note here that people need pop culture to feel connected to a greater whole. I believe that’s true, too. Television is an amazingly powerful community builder.

But I would gladly trade a powerful singular social voice tied together by networks of distribution ownership for a less unified but still loosely connected network of pop culture tied together by my personal activities and my social connections.

What still needs work is how I give trusted services access to much more private data — things like my current location, my spending behavior, access to my friends and family, etc.

To date, most services follow the premise that the looser the controls, the more fluidly data will travel. And that’s all that mattered when it was still hard to get data flowing.

Data flow is no longer an issue. Perhaps data flow has actually become too easy now. And therein lies the problem.

Clearly, blogging, RSS and feed readers drove a lot of the early thinking about syndication. Blogging enabled people to post content in a publicly accessible data repository somewhere for anyone to pull out without any privacy or permissioning controls. The further your content then syndicated, the better.

Wikis and community sites like Slashdot created a slightly more complex read/write dynamic against the central content repository that lots of people could access together. The permissioning model was essentially hierarchical where controls were kept in the hands of a smaller community.

Then Flickr broke ground with a new approach. They applied a user-centric friends and family relationship model to permissioning access to personal photos. Flickr opened up what was once considered private data and defaulted it to a public read-only permission status. But each individual still has a great deal of control over the data he or she contributes.

Similarly, del.icio.us made it possible to store and publicly address what had previously been private data. The nice twist here was the easy-to-understand URLs that allowed machines to consume, interpret and redistribute data stored in del.icio.us.

Where services like Facebook and Wesabe are now breaking ground again is in identifying a security model around highly sensitive data. Contact lists are very personal, but there aren’t many data sets more personal than my purchases and spending patterns.

Neat things can happen when I give machines access to my data, both the things I explicitly ‘own’ and my implicit behaviors. I want machines to act on my behalf and make my data more useful to me in a range of different contexts.

For example, I like the fact that Facebook slurps up my Twitter activity and shares it with my friends in the Facebook network. I don’t want to change my ’status’ on every service that shows status messages. Similarly, I like that Last.fm captures my listening behavior from iTunes and then uses that data to give back personal recommendations on a badge posted to my blog.

Allowing machines to automatically act on personal data on my bahalf is the right direction for things to go. But important questions need to be resolved.

For example, what happens to my data in all the places I’ve allowed it to appear when I change it? How do permissions pass from one service to another? How do I guarantee that a permission type I grant in one service means the same thing in another service? How do changes propagate? How does consent get revoked?

And even trickier than all that will be the methods for enforcing protection of privacy and penalties for breaking those permissions.

Until trust is measurable with explicit consentual triggers, loosely coupled networks that act on the data I wish to protect are going to struggle to talk to each other. Standards need to enable common sharing tactics. Responsibility needs to be clearly defined. And policies need to be enforceable.

Empowering a person to invest in storing and sharing the more sensitive data he or she owns is going to require a lot more than traditional read/write controls. But given the pace of change right now I suspect the answers will happen as the people behind these services work things out together before the industry taskforces, legal entities and blogosphere sort it out for them.

Among the many lessons, he keeps coming back to motivation and incentive.

“A well managed project correctly estimates what motivates people to join in, what the various rewards are for participants, and where the practical limits of their involvement lie.

…amateur production will never replace the system of paid correspondents. It only springs to life when people are motivated enough to self-assign and follow through.”

The idea wasn’t fundamentally broken, in my mind. Crowdsourced news is very powerful. As Derek Powazek said,

“At its best, crowdsourcing is about expanding the walls of the newsroom to the internet, giving an opportunity to people with real experience to share their expertise. This is a point that’s often lost on people who are just looking to make a quick buck on Web 2.0.”

More than anything else, I suspect that AssignmentZero failed because there weren’t any readers. Motivation wouldn’t have been a problem with a NYTimes-sized audience.

To date, I’ve never seen a better explanation of the motivations in collaborative online experiences than Yochai Benkler’s paper called Coase’s Penguin. One of my favorite excerpts from that is where he warns against paying for contributions from the community:

“An act of love drastically changes meaning when one person offers the other money at its end, and a dinner party guest who will take out a checkbook at the end of dinner instead of bringing flowers or a bottle of wine at the beginning will likely never be invited again.”

There are as many motivations as there are contributors in a shared media project. What holds them together is more art than science. Some of that art includes good timing and luck. But it also requires a unique kind of commitment and salesmanship from the leaders of the project.

I’ve begun to wonder if the tipping point happens when the confluence of the community size, the ROI to the contributors and the depth of the trust relationship with the company or the brand creates more value than the sum of the parts. Maybe the science of collaboration services can be found by quantifying the meaning of the relationships between those elements: size, cost, benefit and trust.

Or it could also be that the secret sauce inside the Craig Newmarks, Stewart Butterfields and Jimmy Waleses of the world is much more complicated and nuanced than anyone realizes.

Until last week it seemed a bit silly to me, perhaps overhyped. But after using it to share updates of my son’s birth with friends and family members distributed across several time zones in near real-time, I’ve become a new fan of this fantastic tool.

Whereas I may have used email to announce his arrival before Twitter (something I also did after the fact), I was able to Twitter the experience of my son’s arrival throughout the day using my phone to simply send a little bit of info at a time via SMS.

Email would have been way too cumbersome for nearly live storytelling like this. Plus, the self-selective nature of it allowed some people to follow my posts who I probably wouldn’t have thought to email.

Flickr served a similar role for my daughter’s birth nearly 3 years ago, and it was invaluable to me again this time now that my mother and mother-in-law are both Flickr users finally. The photo-hungry grandparent is insatiable when it comes to newborns.

But Twitter adds a really nice new dimension to the way we share bits of our daily experience.

It was great knowing that my little brother in London and my older brother in Los Angeles were getting text messages on their phones as this major life event unfolded for me. Twitter made it feel like they were part of the experience, like bystanders, even if the details were as boring as where we ate dinner or what was on the TV in the hospital waiting room (Fresh Choice and Maury Povich, in case you’re interested).

Somehow I think the inability to share those inane details with the people we care about is exactly what makes people feel isolated in this modern distributed world. Well, maybe the world doesn’t need more meaningless data out there, but it certainly needs better ways to get the right data to the right people at the right time.

Twitter does just that.

It’s not just the high profile backers and the intense competitive set that make Outside.in worth a second look. There’s something very compelling in the way they are connecting data that seems like it matters.

My initial thought when it launched was that this idea had been done before too many times already. Topix.net appeared to be a dominant player in the local news space, not to mention similar but different kinds of local efforts at startups like Yelp and amongst all the big dotcoms.

And even from their strong position, Topix’s location-based news media aggregaton model was kind of, I don’t know, uninteresting. I’m not impressed with local media coverage these days, in general, so why would an aggregator of mediocre coverage be any more interesting than what I discover through my RSS reader?

But I think Outside.in starts to give some insight into how local media could be done right…how it could be more interesting and, more importantly, useful.

The light triggered for me when I read Jon Udell’s post on “the data finds the data”. He explains how data can be a vector through which otherwise unrelated people meet eachother, a theme that continues to resonate for me.

Media brands have traditionally been good at connecting the masses to eachother and to marketers. But the expectation of how directly people feel connected to other individuals by the media they share has changed.

Whereas the brand once provided a vector for connections, data has become the vehicle for people to meet people now. Zip code, for example, enables people to find people. So does marital status, date and time, school, music taste, work history. There are tons of data points that enable direct human-to-human discovery and interaction in ways that media brands could only accomplish in abstract ways in the past.

URLs can enable connections, too. Jon goes on to explain:

“On June 17 I bookmarked this item from Mike Caulfield… On June 19 I noticed that Jim Groom had responded to Mike’s post. Ten days later I noticed that Mike had become Jim’s new favorite blogger.

I don’t know whether Jim subscribes to my bookmark feed or not, but if he does, that would be the likely vector for this nice bit of manufactured serendipity. I’d been wanting to introduce Mike at KSC to Jim (and his innovative team) at UMW. It would be delightful to have accomplished that introduction by simply publishing a bookmark.”

Now, Outside.in allows me to post URLs much like one would do in Newsvine or Digg any number of other collaborative citizen media services. But Outside.in leverages the zip code data point as the topical vector rather than a set of predetermined one-size-fits-all categories. It then allows miscellaneous tagging to be the subservient navigational pivot.

Suddenly, I feel like I can have a real impact on the site if I submit something. If there’s anything near a critical mass of people in the 94107 zip code on Outside.in then it’s likely my neighbors will be influenced by my posts.

Fred Wilson of Union Square Ventures explains:

“They’ve built a platform that placebloggers can submit their content to. Their platform “tags” that content with a geocode — an address, zip code, or city — and that renders a new page for every location that has tagged content. If you visit outside.in/10010, you’ll find out what’s going on in the neigborhood around Union Square Ventures. If you visit outside.in/back_bay, you’ll see what’s going on in Boston’s Back Bay neighborhood.”

Again, the local online media model isn’t new. In fact, it’s old. CitySearch in the US and UpMyStreet in the UK proved years ago that a market does in fact exist in local media somehwere somehow, but the market always feels fragile and susceptible to ghost town syndrome.

Umair Haque explains why local is so hard:

“Why doesn’t Craigslist choose small towns? Because there isn’t enough liquidity in the market. Let me put that another way. In cities, there are enough buyers and sellers to make markets work – whether of used stuff, new stuff, events, etc, etc.

In smaller towns, there just isn’t enough supply or demand.”

If they commit to building essentially micro media brands based exclusively on location I suspect Outside.in will run itself into the ground spending money to establish critical mass in every neighborhood around the world.

Now that they have a nice micro media approach that seems to work they may need to start thinking about macro media. In order to reach the deep dark corners of the physical grid, they should connect people in larger contexts, too. Here’s an example of what I mean…

I’m remodeling the Potrero Hill shack we call a house right now. It’s all I talk about outside of work, actually. And I need to understand things like how to design a kitchen, ways to work through building permits, and who can supply materials and services locally for this job.

There must be kitchen design experts around the world I can learn from. Equally, I’m sure there is a guy around the corner from me who can give me some tips on local services. Will Architectural Digest or Home & Garden connect me to these different people? No. Will The San Francisco Chronicle connect us? No.

Craigslist won’t even connect us, because that site is so much about the transaction.

I need help both from people who can connect on my interest vector in addition to the more local geographic vector. Without fluid connections on both vectors, I’m no better off than I was with my handy RSS reader and my favorite search engine.

Looking at how they’ve decided to structure their data, it seems Outside.in could pull this off and connect my global affinities with my local activities pretty easily.

This post is way too long already (sorry), but it’s worth pointing out some of the other interesting things they’re doing if you care to read on.

Outside.in is also building automatic semantic links with the contributors’ own blogs. By including my zip code in a blog post, Outside.in automatically drinks up that post and adds it into the pool. They even re-tag my post with the correct geodata and offer GeoRSS feeds back out to the world.

Here are the instructions:

“Any piece of content that is tagged with a zip code will be assigned to the corresponding area within outside.in’s system. You can include the zip code as either a tag or a category, depending on your blogging platform.”

I love this.

30Boxes does something similar where I can tell it to collect my Upcoming data, and it automatically imports events as I tag them in Upcoming.

They are also recognizing local contributors and shining light on them with prominant links. I can see who the key bloggers are in my area and perhaps even get a sense of which ones matter, not just who posts the most. I’m guessing they will apply the “people who like this contributor also like this contributor” type of logic to personalize the experience for visitors at some point.

Now what gets me really excited is to think about the ad model that could happen in this environment of machine-driven semantic relationships.

If they can identify relevant blog posts from local contributors, then I’m sure they could identify local coupons from good sources of coupon feeds.

Let’s say I’m the national Ace Hardware marketing guy, and I publish a feed of coupons. I might be able to empower all my local Ace franchises and affiliates to publish their own coupons for their own areas and get highly relevant distribution on Outside.in. Or I could also run a national coupon feed with zip code tags cooked into each item.

To Umair’s point, that kind of marketing will only pay off in major metros where the markets are stronger.

To help address the inventory problem, Outside.in could then offer to sell ad inventory on their contributors’ web sites. As an Outside.in contributor, I would happily run Center Hardware coupons, my local Ace affiliate, on my blog posts that talk about my remodelling project if someone gave them to me in some automated way.

If they do something like this then they will be able to serve both the major metros and the smaller hot spots that you can never predict will grow. Plus, the incentives for the individuals in the smaller communities start feeding the wider ecosystem that lives on the Outside.in platform.

Outside.in would be pushing leverage out to the edge both in terms of participation as they already do and in terms of revenue generation, a fantastic combination of forces that few media companies have figured out, yet.

I realize there are lots of ‘what ifs’ in this assessment. The company has a lot of work to do before they breakthrough, and none of it is easy. The good news for them is that they have something pretty solid that works today despite a crowded market.

Regardless, knowing Fred Wilson, Esther Dyson, John Seely Brown and Steven Berlin Johnson are behind it, among others, no doubt they are going to be one to watch.

Usually, however, I’m reminded that even though the Internet isn’t weaved into every aspect of everything, it has great potential in places you might not consider.

For example, I’ve been remodelling my house to make room for a new little roommate due to be delivered in September. I’m trying to do most of the work myself or with help from friends and neighbors. I’m trying to save money, but I also really enjoy it. It’s a fantastic way to reconnect with the things that matter…food, shelter, love and life.

Well, I made the mistake of working without permits fully aware that I probably should have them. It’s my natural inclination to run around bureaucracy whenever possible.

As luck would have it, just as the pile of demolition debris on the sidewalk outside my house was at its worst, a building inspector happened to drive by on his way to another job. He asked to see my permit to which I replied, “The boss isn’t here. Can you come back later?”

The building inspector just laughed. After pleading a bit and failing, I started making calls to get drawings and to sort out the permits.

It was at this moment I realized how much building planning and construction could benefit from the advances made in the Internet market the last few years. The part of construction that people hate most is the one that is perhaps the most important. And it is this part that the Internet is incredibly well-suited to improve.

Admittedly, the permit process was not actually that painful and relatively cheap, too. I have spent in total maybe 1 day dealing with permits and drawings, so far, with a bit more to come, I’m sure.

But the desired effect of permitting jobs is sorely underserved by its process.

At the end of the day what you want is the highest building quality possible. You want builders using proven methods with at least semi-predictable outcomes. You want to make sure nobody gets hurt. And you want incentives for people to share expertise and information.

Rather than be a gatekeeper, the city needs to be an enabler.

One of the brochures I read called “How to Obtain a Permit” includes a whitelist of project types. I’m apparently allowed to put down carpets and hang things on my walls without a permit. Glad to know that.

Strangely, after explaining all the ways the city asserts itself into the process, on the very last page of the brochure it then says, “Remember, we are here to assist you. If you have any questions about your project, please give us a call!” I didn’t meet one person in the 6 queues I waded through the first morning who wanted to help me. They were mostly bored out of their brains.

Instead, the city should be putting that brainpower to work finding ways to lubricate conversation and collaboration around solving building problems. If the building community was in fact a community powered by thoughtful city-employed engineers, then I would be much more interested in working with them. I might even become dependent on them.

For example, if they helped me organize, store, print and even share my plans, then I’d be more than happy to let them keep my most current drawings, the actual plans I’m using to build with. If they could connect me to licensed contractors and certified service providers, I’d gladly give them my budget.

As it stands, my incentive is to avoid them and hide information whenever possible.

Imagine if I was able to submit a simple SketchUp plan to a construction service marketplace. I could then sit back and watch architects and interior designers bid for the planning work. My friends in the network could recommend contractors. Tools and parts suppliers could offer me discounts knowing exactly what I needed for the job. I could rate everything that happens and contribute to the reputation of any node in the ecosystem.

Imagine how much more value would be created in the home buying market if a potential buyer could see all this data on a house that was for sale. I might be able to sell my home for a higher price if my remodel was done using highly reputable providers. There would be a financial incentive for me to document everything and to get the right certifications on the work.

Imagine lenders knowing that I’m an excellent remodeller based on my reputation and sales track record. I might be able to negotiate better terms for a loan or even solicit competing bids for my mortgage on the next house I want to invest in.

At every step in the process, there is a role for the city government to add value and thus become more relevant. Then the more I contribute, the more it knows about what’s happening. The more it knows, the more effective it can be in driving better standards and improving safety and legislating where necessary.

My mind spins at the possibilities in such a world. Of course, when you have a hammer everything looks like a nail. But it seems to me that the building permit and inspection business is broken in exactly the places that the Internet is more than capable of fixing.