Today my team launched Klout’s first iPhone app. Since this was a very fast project there were of course several killer features that didn’t make the cut.
Knowing that my readership on this blog is both massive and freakishly intelligent, I feel obligated to provide a glimpse of these features and thus a peek inside the mobile product mind that FAKEGRIMLOCK calls “NO EAT”. You’re welcome.
Mind-blowing features that didn’t make the cut for v1.0:
1. “Social Proof”: Upon installing the app, The Most Interesting Man In The World retires and hands his title over to you.
(After seeing this feature in action, Isaiah Mustafa broke down and wept.)
2. “Check-In Domination”: You automatically become the Mayor of every business within a 10 kilometer radius of your current location. The feature is “always on” and runs in the background, allowing you to indiscriminately cut a swath of Mayorship across the planet’s surface.
(When Dennis Crowley tested this feature he immediately initiated the IPO process for Foursquare.)
3. “The Rachel”: If your Klout score is above 90, a new hairstyle is algorithmically generated and then is named in your honor. It is then automatically styled onto a major celebrity by autonomous robocopters.
(Upon experiencing this feature, Charlize Theron cried out, “Why are you doing this to me?” while futilely attempting to run away from a swarm of tiny, scissor-wielding helicopters.)
We’re very pleased to announce that Blockboard has been acquired by Klout!
If you’ve been following Blockboard (or using it in San Francisco), you know that we’re all about using technology to connect neighbors and build stronger neighborhoods. Along the way we’ve learned a lot about how…
Nov 20
Steve Jobs, Google Maps, and the digital afterlife
Because Google Maps (like other mapping services) utilizes imaging data from multiple sources gathered at different points in time, the same geographic spot can sometimes look very different as you move between zoom levels and views.
Weather and seasons can change unexpectedly. Cars can disappear without a trace. Things that were are suddenly no more. It is, quite simply, a time machine.
Recently I ran across an example of this effect that is particularly interesting, and bittersweet.
For many years Steve Jobs lived in an old Woodside mansion known as the Jackling House. Built 85 years ago in the Spanish Colonial Revival style, many considered it historic. And yet Steve purportedly hated it. He wanted to tear it down and replace it with a more modest, modern home. For years he battled preservationists, and then in February of this year he finally won the fight and demolished the house.
In searching Google Maps for the house’s location I discovered something unexpected: it’s still there. Kind of. See for yourself:
Here’s a screenshot of the map, since at some point soon the imagery will be updated:
There the house stands, dilapidated yet still proud. But turn off the 45° imagery mode, and the house is instantly replaced with an image of the current reality: a barren field.
Steve had the right to do what he did, and I’m sure he had his reasons. But I’m still saddened by the Jackling House’s destruction. It was, to my eye, unique and beautiful.
Now all we have of it is this digital afterlife, an echo of something great. Pondering the sad symbolism here is an exercise I leave to the reader.
Oct 05
Remembering how I got here
The first time I saw a computer — an Apple ][+ in my elementary school’s library.
The first time I made the turtle move in Logo.
The day the guidance counselor nervously asked my mother, “Do you know how many floppy disks your son has?”
The first time they kicked me out of the local library for cheering too loudly while playing Karateka on their Apple //e.
The excitement of the day we brought home my first computer, an Apple //c.
The time I cut the end off of a phone cable, stuffed the wires into the serial port, wrote a simple program to parrot-back canned dialog, and used the whole setup to trick a friend into thinking I was pulling a real-life “Wargames”.
The hours spent exploring local BBSs with my 1200 baud modem. The excitement of downloading illicit software, 140KB at a time.
The day my parents bought me an Apple IIGS for Christmas. (Later, my attempts to mask my disappointment at realizing they had neglected to also purchase an Apple 3.5” drive, thus relegating said computer to the role of a slightly-faster Apple //c.)
The many years of tinkering, exploration, and happiness that computer ultimately gave me.
——
On this sad day my spirits are somewhat lifted by the realization that I can trace much of my life’s trajectory back to these early experiences. I am the person I am today in no small part due to Steve’s work. And I am profoundly grateful.
Oh, and that first computer? I’ve still got it. I think that says it all.
Now, if you’ll excuse me, I’m going to go fire up Karateka.
Steve Jobs: 1955 - 2011
Apr 08
Unlit Social Graphs and the Post-Friend Economy
Lawrence Coburn of The Next Web wrote yesterday about “The Unlit Social Graph”. It’s a well-framed article and worth a read. Coburn’s premise is that Facebook, despite its pervasiveness and dominance, does not represent the only type of social graph in our lives. There are many other networks out there but they currently lie dormant. Tremendous opportunity exists for startups that can “light up” these networks.
Every school is a network, every employer is a network, every bar is a network, every office building is a network, every hobby is a network, every neighborhood is a network, and at an extreme level, every shared interest is a network, regardless of location.
…we are on the precipice of entirely new ways of thinking about our relationship to others as leveraged over digital platforms, and while Facebook may well be the oxygen or the landmass of this ecosystem, it won’t be the entire ecosystem itself.
Embedded in these statements is a fundamental truth: that not every social connection is equal. Certainly, very few of our social connections truly qualify as “friendship” — at least in the way we formerly used the term. And yet our recent habit has been to paint them all with the same broad stroke.
Relationships are shaped by the context in which they exist. Neighborhoods are a great example, wherein the context is a very special location — my home. While we have much to gain from being connected to our neighbors and our neighborhood, we don’t always want to be “friends” with our neighbors. That’s because we can’t easily escape these relationships once they have been created. As a result we now live in a time where most people don’t know their neighbors names. We are living together, yet alone. This is a problem that can’t be solved by a social graph of friends.
The good news is that both culture and industry are waking up to the differences between these social graphs and the opportunities they present. I believe that we are entering a new era that I (with tongue in cheek) call the “post-friend economy”.
Facebook isn’t going anywhere, of course. But in this world, Facebook’s social graph is one of many we interact with. Instead of seeing every relationship in the context of “friendship”, we use tools that more accurately reflect the diversity of relationships we maintain in the real world.
These tools work in a way that makes sense for the context. That means many different levels of personal identity, sharing, and conversation. It means networks created around places, affinity, and time. And perhaps most importantly, it means the ability to unplug and “erase” ourselves from these networks as our own context changes (e.g. when I move to a new neighborhood, when I tire of playing basketball, or when a concert is over).
At Blockboard we see ourselves as a post-friend application*, one that is focused on the problem of activating neighborhood networks. This is just one of the hundreds of latent graphs that will be activated over the next few years. Things are going to get interesting.
* Hmm, a “post-friend application” sounds like something a Terminator would install on their iPhone. Needs work.
Dec 19
We can save Delicious, but probably not in the way you think
I left Yahoo over two years ago, but prior to that I spent three years running product for Delicious. Since then I’ve remained a loyal user and supporter. To this day I keep in touch with former Delicious colleagues and consider many to be friends. And though I’ve felt that Delicious has been frustratingly slow to evolve in recent years, I’ve always wished the best for the product and the remaining team members.
original photo: afagen on Flickr
All of this has made last week’s news especially saddening and painful. First the Delicious team was hit by layoffs. Then it emerged that Yahoo is either shutting down Delicious or trying to sell it. As I write this it is still not entirely clear what the real story is, but regardless Delicious is in peril.
An online debate has already begun about various ways that Delicious might be “saved”. As someone who was on the inside for a while and who wants very much to see Delicious live on, I thought I’d chime in. For the record, what follows are opinions based on my own experiences. I have not spoken to anyone inside Yahoo about this and I do not have any special knowledge about the current situation.
Convincing Yahoo to keep investing in Delicious
This is unfortunately a non-starter. Last week much of the team was laid off and my guess is that the product is now at best staffed for “maintenance mode”. This sends a fairly clear message and it’s not something Yahoo can easily reverse because they have lost already-scarce expertise in both the product and the complicated technology stack that underpins it.
Selling Delicious to a third-party
This certainly seems like the best option for Delicious and its users, and I hope that Yahoo is able to pull it off. But it’s not a straightforward proposition.
As mentioned above, most of the team is now gone. Last week’s leak (and the subsequent fallout) also did unfortunate damage to the Delicious brand, sending panicked users to competing products.
But ultimately the real challenge here will be the technology. During my time at Delicious we rebuilt the entire infrastructure to deeply leverage a number of internal Yahoo technologies. It’s all great stuff but not exactly easy to remove or replace. Yahoo may have to license some of this technology to the buyer. I’m not sure they’ve done that before.
Open sourcing Delicious
This is a seductive concept but doesn’t make much sense. As in the case of a sale, they would need to unwind a bunch of proprietary technologies before this could happen. And open sourcing a complex product isn’t as simple as switching your GitHub repository from private to public. It involves a lot of work to clean up and document the source. For Delicious this would add up to a huge effort that would be hard to justify purely on a financial basis. Even then, it’s not clear how an open source social bookmarking system would work, given that much of its value comes from being centralized.
Donating Delicious to the Library of Congress or the Smithsonian
Now we’re getting closer. While it is folly to assume either of these institutions could take over Delicious and keep it running as a viable service, it does seem like they would be interested in preserving the Delicious corpus and making it available for research.
I love Delicious for many reasons, but chief among them is that it is the Internet’s memory storage device. In the 7+ years of its existence it has recorded the collective online journeys of millions of users during a time when the Web was evolving dramatically. Those memories are irreplaceable and have enormous value both to their owners (the users) and to society.
And so this is where we end up: Delicious may or may not have a future as a service, but regardless we can still “save it” by extracting and preserving its collective memories. There are two ways to do this:
- Yahoo could proactively release the corpus of publicly-shared bookmarks and tags. This could take the form of a mass data dump into the public domain, or it could be via an agreement with an institutional partner (much like Twitter did earlier this year).
- The Delicious user community could organize to save the data themselves via a coordinated harvesting project.
The second approach could produce valuable results but would require no shortage of cleverness in order to avoid triggering rate limiters and other abuse mitigation mechanisms. Even then it’s not clear that the entire corpus is currently accessible in this manner. The first approach would be much more direct and complete, and would likely earn back for Yahoo some of the goodwill it has recently lost.
Separately from the public data, there is the issue of personal user data. While Delicious has long had a bookmark export tool, other pieces of personal or private data are not easily exportable, notably the user’s Inbox (links shared with them by other users) and their Network (links saved by users they follow, as well as the list of those contacts — it’s basically Twitter for bookmarks). The user community has already started working on this problem: former Delicious engineering lead Josh Whiting has written a Ruby script that exports your Inbox. Ideally Yahoo should provide official tools for exporting this data.
In conclusion, releasing the public corpus is the right thing to do for Delicious, for Yahoo, and for the Internet. If a sale proves difficult — or even if it succeeds — I hope Yahoo will take this path and I would strongly encourage them to do so.
Nov 26
My month with the 11” MacBook Air: an extended audition
Everyone seems to agree that the new MacBook Air represents a significant step forward in laptop design and execution, with the 13” model earning nearly universal acclaim.
But the 11” model is a strange beast. Is it an under-powered, over-priced netbook? Or is it a viable primary computing device with a tiny footprint? Answering these questions requires more than benchmarks. It means giving it an extended audition in the real world, and that’s exactly what I’ve done. One month ago I purchased an 11” Air and I’ve been using it every day since then.
The gear
My 11” Air is the maxed-out model, with a 1.6 GHz CPU, 4 GB of RAM, and 128GB of SSD storage. It replaces my previous daily use machine, a first-generation 13” Air (1.6 GHz, 2GB RAM, and 80GB magnetic hard drive).
The user
Despite my use of decidedly non “power user” gear, I’m what could reasonably be described as a power user. I run a number of applications (10+) at all times, including at least one browser with a large number of open tabs. I do development work using an IDE and test my code within a Linux virtual machine that mirrors the BlockChalk production environment.
When I’m at home or at work, my laptop is usually connected to an external monitor, keyboard, and mouse. But I also commute by train every day for a total of roughly two hours, during which time I operate within a rather space-constrained environment (i.e. elbow-to-elbow). This daily commute is the primary reason why I decided to give the 11” model a try instead of the new 13”.
The test
For the past 30 days I’ve been using the 11” Air as my primary computing device at home, at work, and on the train. Instead of collecting benchmarks and other quantitative metrics, I’ve instead focused on testing the ins and outs of everyday usage, looking for those instances where the device shines, those where it frustrates me, and all the moments in-between where it simply gets the job done.
Where it shines
Size and weight: The 11” Air is impossibly small and light, yet still feels solid and substantial when held and operated. In my bag it essentially disappears; I occasionally have to double-check that it’s still there. After using the 11” Air, the 13” Air feels like a behemoth.
Of particular note is that the shorter screen height (compared to 13” laptops) makes a huge difference on the train: the top of my screen no longer hits the back of the next seat as the train bounces around. This is an under-appreciated advantage, and for air travelers in particular it may be the killer feature.
Ergonomics: If this thing is a “netbook” then it is the first one I’ve ever used that isn’t an ergonomically crippled mess. The keyboard is full-size, the trackpad is big enough, the wrist rest space is sufficient, and the screen resolution is actually pretty good. And you get all of this in an impossibly small package. It’s quite an achievement.
Battery life: I’m consistently getting over 5 hours of life with sustained usage. While this is less than what is possible with the 13” Air, it certainly doesn’t seem like a reason to pick the larger laptop over its smaller sibling.
Where it gets the job done
Performance: In daily usage the maxed-out 11” Air feels dramatically faster than my prior-gen 13” Air. Part of this is no doubt due to the SSD drive, while the rest probably comes from having faster RAM, and more of it. On my old Air, simple tasks like streaming YouTube videos or reloading JavaScript-heavy pages could be agonizingly slow and uneven. And the 2GB RAM limit was a major drawback that I ran into every day. VM-based development was torture. Even spinning up the VM would lead to leg-searing heat levels and leaf-blower noise levels. With the 11” Air, it’s all a breeze.
The 11” Air is by no means a speed demon, but the maxed-out model feels a lot faster than you would probably expect. After four weeks I have yet to encounter a situation where the machine has felt underpowered.
Where it frustrates
The main issue with the 11” Air is screen size. While the resolution of the screen is surprisingly high and quite sufficient for most uses, the screen’s actual physical size is small. If you’re at all like me, you may experience eye strain particularly when using the Air on your lap. Under those conditions, the screen is just small enough and just distant enough from one’s eyes to be a bit uncomfortable.
On the positive side I seem to have adjusted to this issue over the past few weeks and now feel considerably less discomfort. But I also have 20/20 vision, so YMMV. Regardless, for me this compromise has proven acceptable. The portability benefits of the smaller screen are worth it, and using an external monitor at home and at work minimizes my exposure.
I’ve also run into a few random minor issues:
Half-height function keys: While the keyboard is full-size, the top row of keys are half has high as the rest. Like me, your response might be, “who cares, I never use those keys.” Turns out we do, particularly the Escape and tilde keys. The reduced height of these keys makes misfires common, but it’s something I’ve gotten used to.
Weird UI lag: At home, I use Synergy to share a single keyboard and mouse across multiple monitors and computers. With the 11” Air running as a Synergy client, I’ve noticed intermittent UI lag that I’ve never seen with other client computers (like my previous Air). Stranger still, this lag sometimes persists after disconnecting from Synergy and can only be resolved with a reboot. I’m a long way from saying this reflects an issue with the Air, but I mention it for completeness and on the off-chance that someone else out there has seen this.
The verdict
The 11” Air strikes a near-perfect balance between the compromises required of such a small portable computer. It meets the bar for performance and surpasses it in ergonomics and portability.
The one downside of the 11” Air is also one of its greatest features: the small screen. Whether you find it a benefit or a hinderance will likely determine if the 11” Air is right for you. For me, it most definitely is!
Sep 08
Google Instant is an example of how Yahoo could have won in search
Today Google launched Google Instant, and make no mistake: this is big. It’s far more than just a new fancy interface. It’s a fundamental change to a user interaction model that’s been largely unchallenged for years. It also represents a significant financial and technical commitment on Google’s part (all those new searches and suggestions aren’t free). Last but not least, it clearly demonstrates that Google still has both the means and motivation to challenge a status quo they themselves helped create.
By all accounts this is a bold and brave innovation. Which is why it may surprise you to learn that Google Instant is actually five years old. Yahoo built it back in 2005.
Yes, Yahoo. In 2005.
I can see you’re confused. I don’t blame you. Let’s back up.
Back in 2005, prior to joining the del.icio.us team, I was a product manager on Yahoo’s search team. I led the (truly awesome) team that built and shipped Yahoo’s first AJAX search tools. Our biggest project and crowning achievement was LiveSearch: a fully interactive search UI that produced auto-complete search suggestions and displayed instant search results — in real-time as you typed.
It was slick. It was extremely useful. It was a potential game-changer. And it was almost exactly the same product as Google Instant.
There were differences of course. The search suggestions were displayed on the left side of the results, instead of above them like in Google’s implementation. This was to avoid the distraction of shifting the result set down the screen as the user typed. The relevance of Yahoo’s results at the time were likely lower than what Google is capable of displaying today, but they were still quite good. And the layout clearly needed further optimization, since the default Yahoo SERP at the time was top-heavy with ads and in-network content “shortcuts” (some of which were quite useful, others not so much).
All in all, my assessment is that Google Instant is a superior implementation, but LiveSearch was close. Damn close. It’s something Yahoo should be proud of, and it’s a shame more people don’t know about it.
UPDATE: and here is a YouTube video of LiveSearch in action!
So what the frak happened? If this innovative product was built nearly 5 years ago (it actually shipped in early 2006), why hasn’t anyone heard of it?
The answer is (mostly) in the screenshot. Yahoo would not let us ship LiveSearch on yahoo.com or as a part of Yahoo’s search engine. Instead we were only allowed to launch it on AllTheWeb, a smaller, lower-traffic search engine that Yahoo had acquired years earlier and largely left to atrophy. (In comparison, Google just launched it on google.com. Boom.)
You have to remember that, at the time, Yahoo’s search business was doing just well enough that there was very little institutional appetite for product risk. As a result, “big” or disruptive ideas were too often left to whither on the vine. By focusing on the local maximum, Yahoo unwittingly traded innovation for incremental optimization.
LiveSearch was thus relegated to a tiny test bucket of users who didn’t actually use Yahoo’s search product (or any modern search engine). Usage data from this flawed test was used to internally evaluate its success in comparison to the model it was actually trying to disrupt. Lacking high-level support for its larger vision and starved for resources, LiveSearch was understandably put out to pasture.
To be fair, this all happened several years ago and user attitudes have changed since then. An interaction paradigm that today seems brilliant was back then perhaps not as immediately accessible to users. I also look back and feel that I could have more effectively “sold” the vision to Yahoo’s management and fought for it. Ah, the benefits of hindsight.
But still, here we are, five years later. And what is essentially the same product is launching to most of the world’s online audience in one fell swoop. Clearly an opportunity was lost somewhere along the way.
While Yahoo’s reputation as an innovator has suffered in recent years, I can tell you first-hand that there was no shortage of amazing ideas inside those walls, some of them way cooler and more disruptive than LiveSearch. Nor was there any shortage of smart, driven, and creative people on the payroll. I worked with a bunch of them.
Instead, what was lacking was the ability to bust past that local maximum. Google may have challenges of its own these days, but today it clearly demonstrated that it still has the organizational courage to challenge its own preconceptions. As I read the coverage and play with Google Instant, I can’t help but wonder how things might have gone if Yahoo had shared this trait five years ago. It could have been pretty damn great.
But which provider to use? Surely here in Silicon Valley I’m not the first Caltrain commuter to ponder this question. Or am I? I searched around for relevant comparison data and personal stories, and to my surprise didn’t find much. So I decided to run my own comparison test and publish the results for make great benefit my commuter rail brothers and sisters.
The contestants
I went out and purchased a Sprint U301 and a Verizon MiFi 2200, each with an accompanying 3G data plan. Given my horrific experiences with iPhone data service in the Bay Area, I frankly didn’t even bother testing AT&T’s 3G data service.
The test
Over the span of two days I tested each device (and thus, each network) on a northbound local train (stopping at every single station) from San Jose (Diridon) to San Francisco (4th and King). On Day 1 I tested Sprint. On Day 2 I tested Verizon.
At each station I ran the following command from my MacBook Air’s terminal window:
ping -c 20 servername.com
…where “servername.com” is a public UNIX host that I control. This test thus measured minimum, average, and maximum latency across a series of consecutive pings. I am aware that there are a multitude of other (and probably better) ways to measure the performance and availability of a data connection. But this is the approach I took, mostly out of laziness.
Due to operator error there were a few stations where I failed to collect data for one of the two networks (I was probably distracted by lolcats). In such cases, I have left that station out of the final results entirely.
The numbers
The following graph shows average latency for each station. It tells the story pretty clearly. Verizon’s latency was relatively low for the entire trip from San Jose to San Francisco. In comparison, Sprint’s latency was dramatically higher and on numerous occasions jumped into territory that was well beyond usable levels.
Notice that the Sprint results shoot off the top of the graph near the end, never to return. This is because Sprint’s service completely gave out as we entered the final series of tunnels that make up the approach to San Francisco. It went completely dead. Verizon kept on chugging.
This next graph is interesting as well. It shows the standard deviation for each test. From this you can see that Sprint’s service was inconsistent even within the span of 20 consecutive pings (i.e. just a few seconds).
The experience
From a user perspective, Verizon was also the winner. The service was fast, consistent, and highly usable. Aside from running my ping test at each station, I spent the rest of the trip basically forgetting that I was using a wireless data service. It was seamless.
Sprint was, unfortunately, a different story. The service kept coming in and out, speeding up and slowing down. One moment I was surfing smoothly; the next moment I was realizing that Gmail was frozen. I never felt confident that I could predict what was going to happen next. And trying to use SSH was nearly impossible — at times I experienced 3-4 seconds typing delays.
The conclusion
My test was far from scientific, and I would love to see someone more knowledgeable come along and make it obsolete. But for me, it was more than sufficient to proclaim a clear winner.
If you ride Caltrain and want wireless data coverage, get Verizon. It pwns.
Postscript: Sprint is planing to roll-out their WiMAX-based “4G” service in the Bay Area this summer. It will be interesting to see how that system performs in comparison to the current 3G service.
It turns out that today is an especially appropriate day for the news to break. I’m currently in Washington D.C. for O’Reilly’s Gov 2.0 Expo, the leading conference on open government and citizen engagement. These values are at the heart of what we’re doing with BlockChalk. It feels pretty great to be here with so many people who feel similarly.
We put a ton of effort into the fundraising process and I couldn’t be more proud of the roster of investors who have stepped up to support us. They represent a broad range of backgrounds, perspectives, and geographies. That matches well with our goals for BlockChalk. We plan to grow beyond the bubble and reach people all over the country and all around the world.
This is definitely the most exciting moment in my professional life. It’s been a lot of work getting to this point, and I’m psyched to have reached it (note: understatement of the year). But this is just the first marker on a long road ahead.
Mind-blowing features that didn’t make the cut for v1.0:
Relationships are shaped by the context in which they exist. Neighborhoods are a great example, wherein the context is a very special location — my home. While we have much to gain from being connected to our neighbors and our neighborhood, we don’t always want to be “friends” with our neighbors. That’s because we can’t easily escape these relationships once they have been created. As a result we now live in a time where most people don’t know their neighbors names. We are living together, yet alone. This is a problem that can’t be solved by a social graph of friends.
