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Posts Tagged ‘scoopler’

Realtime, realtime, realtime — it’s all you seem to hear now with regard to the web. But back in May, it was just emerging as a new trend that looked poised to explode. And one company at the forefront of that was Scoopler, a Y Combinator-backed realtime search engine. Today, being ahead of the curve has paid off, as the service has just raised a seed round of funding from some big name investors.

When we intially wrote about the service (remember, very early on in the realtime search phenomenon), we noted that the presentation of results was impressive, but the results themselves were utterly dominated by Twitter. That really shouldn’t have been all that surprising considering Twitter’s popularity in the space. But the service has since added some new features to make it more robust.

You’ll notice that when you do a search, there is a clean, two-column layout. On the left, popular shared items appear. These can be links shared on Twitter, Digg items, etc. You can also filter this content by videos, links, and images. On the right, you’ll see the live-updating items from around the web. The majority are still coming in from Twitter, but there are plenty of results from places like Delicious and Digg mixed in as well. These two columns have been swapped since when we first covered the service, and the “Your Searches” column has been removed and place in the top bar.

More importantly, Scoopler has added an entirely new top area to break searches up into categories. Scoopler is calling the feature “Realtime Channels,” and co-founder AJ Asver describes it as, “like Digg’s categories but updated in realtime. They show the hottest tweets, links, videos and images in News, Business, Technology, Politics etc.  The idea is to drive more search queries by suggesting what people should search for.”

Makes sense. And the results are pretty solid. For example, I just clicked on the Entertainment channel and I see the live posts are being populated with talk about things like the new Michael Jackson movie and also the new Avatar trailer. There is also a constantly updating area along the top of the page to show you the hottest topics being talked about in realtime around the web.

But perhaps the best feature of Scoopler remains the “peek” option. This allows you to quickly see the content being linked to through tweets and Digg results in an overlay without having to leave Scoopler. The service also has little picture thumbnails that get inserted into the stream for things like Flickr pictures.

Scoopler’s seed round has attracted investors such as Ron Conway, (Bebo co-founder) Michael Birch, Avalon Ventures, and XG Ventures. Though the amount of the round wasn’t officially disclosed, we hear it’s in the $500,000 to $1 million range.

Speaking of realtime, don’t forget our second Realtime CrunchUp taking place on November 20.

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Google has just debuted a new form of advertising called AdWords Comparison Ads — a special kind of ad that will prompt users to view a list of sponsored products in a structured format. To get started, Google is running the ads for queries related to the mortgage market, though it has plans to eventually expand beyond that. The ads are in a limited rollout for now, with only some users in some states seeing them.

Here’s how Google describes the new ad type:

AdWords uses a host of targeting and relevancy signals to determine the best ads for each query. However, sometimes a user’s query doesn’t provide enough information for us to confidently predict what they want. Take, for example, users who search for “mortgage.” Do they want a new home loan or a refinance? Do they want a fixed rate or an adjustable rate loan? Comparison Ads improves the ad experience on Google.com by letting users specify exactly what they are looking for and helping them quickly compare relevant offers side by side.

Users searching for “mortgage” on Google.com may see a promotion from Comparison Ads prompting them to select the type of loan they are looking for and to compare various rates.

If they click the promotion, users are taken to a page with more detailed sponsored results. They can choose directly from the offers listed on that page, or they can further refine their search by providing additional information like income and home value…

Once users find an offer that matches their specific needs, they can either call you directly or request a quote. If a user requests a quote, Google automatically anonymizes the user’s phone number and sends you a unique code that you can use to contact the user. You only pay if a user calls the phone number on your offer or fills out a form to request a quote.

As Leadcritic points out, Google’s entry into this space is obviously going to be bad news to lead gen services like LendingTree, and they aren’t the only newcomers looking to get in on the action — we hear that Billshrink will soon be expanding its price-saving tools to include mortgage comparison shopping.

And, as noted before, Google will be expanding this ad type beyond mortgages. This may well be its answer to Bing’s decision engine model, which presents a number of structured options for the services and products you’re looking for that aren’t based exclusively on search rank.

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While there have been many real-time search engine launches over the past few months (Scoopler, Topsy, Collecta, CrowdEye), most of them so far have fizzled (see Google Website Trends chart above). After an initial burst of curiosity, interest tends to dive. One exception, however, is OneRiot, which appears to be gaining some early traction in the real-time search race.

This race has just begun, of course, and other real-time search startups are chasing hard. But OneRiot is already serving up results for more than one million search queries a day (see chart below). This would be a rounding error for any major search engine, but at least it is going in the right direction. Its investors think so. They ponied up another $7 million in a new round at the end of last month

OneRiot started to be noticed when it added link search from Twitter last May. But its search volume didn’t really take off until it launched its API, allowing other sites to tap into its real-time search and add it as a feature to their own Web app or site. OneRiot has 40 API partners, including Microsoft (sometimes bundled with IE)., browser add-ons Yoono and Shareaholic, and desktop apps like Nambu and EventBox.

All of these API partnerships add up. In fact, about 80 percent of OneRiot’s searches are coming through its APIs rather than directly on its site. OneRiot is building up market share by offering real-time search to others. (Rival Collecta is preparing to do the same thing by offering its own APIs soon). Search is a volume game, where the more search queries you can process, the better your results become. So OneRiot wants to power as many real-time searches as possible.

To the extent that OneRiot can familiarize people with the concept of real-time search in as many places as possible, that’s a good thing. But ultimately it needs to drive people back to OneRiot.com where it can control the entire experience (and the cash).

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Today saw the launch of two new real-time search engines, from OneRiot and Tweetmeme. While the two are slightly different in ways that I went into earlier, all that really matters are the results you get. So I put those two to the test along with Twitter Search, Google Search, FriendFeed and the recently launched Scoopler. To see which would give the best results based on a current event.

One bit of news I was interested in was the space shuttle, because it received some damage today while venturing into space. I decided to do a pretty generic search for “Space Shuttle,” since that is likely what most people would enter of all the possible combinations of words. Here are the results:

1. Google: The top result was from a Google News story about the shuttle damage. That’s good, that’s what I was looking for. The rest was historical information I didn’t want or need. Sure, I could have used a Google News search, which would have no doubt returned more relevant results (but maybe not that relevant), but most people still use just regular old Google.com, so that’s what I did.

2. Twitter Search: The first result is pretty telling: “Just watched the space shuttle go overhead — so cool” That’s nice, but gives me absolutely nothing in terms of what I’m looking for. The second and fourth results were good and gave me links for more info — now you see why Twitter wants to (and should) get into the business of crawling links for its search results.

3. FriendFeed: The top two results are good, but the rest are just general information about the launch. This is an interesting set of results because unlike Twitter Search results, FriendFeed filters everything through my friends by default. That’s good for certain searches, but maybe not so good for big, meaningful searches when you’re frantically looking for information.

4. Scoopler: With its mixture of live tweets coming in and popular content, Scoopler gives me some pretty solid results for what I’m looking for. And it’s presented in a way that’s pretty easy to follow. I like this one, a lot.

5. OneRiot: The top two results in the “Realtime” view are good, but the others aren’t what I’m looking for. The Pulse view isn’t much better. The relevant results come from Twitter or OneRiot itself. There’s nothing from Digg in terms of what I’m looking for. (OneRiot scans Twitter and Digg.)

6. Tweetmeme: Tweetmeme’s search defaults to the “Best Match” area which gives you a solid result for the number one and three items. When sorted by “Age,” the results are all over the place.

Second test: For a second test (not pictured), I did a query for “Miss California” — another hot topic on the web right now. Being as this one is a little less time-sensitive, the results were better across the board. OneRiot showed quite a few Digg results this time around, and even Google had some relevevant links beyond its Google News top area hits. Scoopler had some good popular results, but its Live area was dominated by tweets mostly making jokes to friends about the beauty queen. Tweetmeme’s “Highest Tweets” area really shined here.

Conclusion: It’s hard to declare one single winner because results vary based on how fresh the topic being queried is. Scoopler seems to work very nicely for breaking news as it mixes in an auto-refreshing Twitter search stream (as I keep going back to, it’s dominated by tweets) with popular items. Tweetmeme seems to work very well for slightly older items that have been retweeted a lot. OneRiot is nice in that it crawls the individual pages to get better content, but for breaking news, I’m not sure that it actually works better than a quick topical scan of a bunch of items. And FriendFeed’s search is great if you want to see what your friends are saying about something, but trickier if you go outside your social circle.

It seems pretty clear why Google is interested in adding a real-time layer to its search capabilites, while Twitter wants to crawl pages with its engine — the combo is pretty killer.

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There was a lot of buzz last week upon the announcement that Twitter would soon expand its search offering to crawl links tweeted out on top of the tweets themselves. The ramifications of such a move are potentially large, as it would seem to be a way for Twitter to serve up a tailored, real-time view of what’s hot around the web. Who knows how long it will take Twitter to actually do that, but you don’t have to wait — another company, OneRiot, is launching the same functionality today.

And scanning tweets is just a part of what OneRiot plans to offer. Today, it will also launch with a Digg link search, and soon it hopes to roll out live search results from a wide range of social services, Tobias Peggs, the general manager of OneRiot, tells me. But there are two keys to how this will work. The first is that OneRiot is crawling not just tweets and diggs, but is actually crawling the pages behind the links themselves. And second, this is all done in real-time. Content is indexed within 35 seconds, Peggs said.

Big claims are one thing, but how does it actually stack up? Pretty good from my initial tests (running on an incomplete dev server). For example, I did a search for “Spock” (not to be confused with the title of Star Trek III). In the real-time view, I got a glimpse of recent links related to Spock that people have been tweeting out and digging recently. These are done in reverse chronological order, and are constantly updating when someone tweets or diggs another link. (But the same links are bundled together to avoid clutter.)

If you’re more interested in quality over real-time views, you can simply switch to the “Pulse” mode, which shows popular recent links about your query. Both views show not only the link, but who the link was first shared by (on either Twitter or Digg), and can also be expanded to show all the retweets and other users who dugg the link. Those users’ names are all hyperlinks as well to their respective profiles on Twitter or Digg to give them proper credit for the finds.

Unlike FriendFeed, which recently implemented its real-time element, OneRiot takes the “queue” approach, where it indicates at the top of the results that there are new results waiting to be viewed. This is the same thing that Facebook and the actual Twitter Search use. Peggs says they built the system both ways to test it, and that users overwhelmingly favored this queue approach. The actual real-time view made some nauseous, he joked.

But why is OneRiot better than a service like Scoopler, a service we covered the other day that also does real-time search? Well, OneRiot believes the two are simply different. Scoopler is focusing on conversational search (basically what Twitter Search is now, searching for words in tweets), while OneRiot is about content search (more like Google). Eventually, Twitter wants to evolve into a cross between the two, and some reports indicate that Google is also interested in exploring this intersection. But for now, it would seem that OneRiot will have a bit of a head start in parsing the real-time shared web links.

One reason OneRiot believes that real-time content search is more valuable than real-time conversation search, is because conversational search is too easy to spam. We’ve already seen that in some regards when users manipulate the trending items on Twitter. That’s more difficult to do with links because OneRiot is looking at the content of the links and can pull out any that it thinks are spam. That would stop those links from appearing over and over again in the results.

Rather than focusing on making money right now, OneRiot is taking the Twitter approach, and trying to create a product that users will love first. But the future has potential to be pretty bright in terms of monetization when OneRiot decides to turn it on (assuming that it gets a lot of users). According to tests OneRiot has done, real-time searchers are more likely to search multiple queries. And they do so more often throughout a day than those doing a regular web search, according to Peggs. And because OneRiot is looking at the content within links, it can see if a link is to an article talking about Britney Spears wearing some kind of outfit, and will serve up a contextual ad that relates to that. But again, that’s down the road — the users have to come first.

To get those users, the service will first and foremost have to be good at what it does. It’s hard to know exactly how on a large scale OneRiot will stack up to Twitter Search or a simple Google Search for something, because as I mentioned, I’m testing it out on a limited development server right now. When it launches in a few hours, it should be more complete — but it is still very much a work in progress, according to Peggs. Still, the promise of real-time search is great. And it’s certainly more interesting that some of the stuff OneRiot was previously working on.

Being able to get a current look at what hot items people are sharing across social networks on the web is something people want. But can a startup like OneRiot live up to the real-time hype? We shall see.

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