Tuesday, July 10, 2007

search engines - vertical search niche search

The List, April 2007

Search Engine name URL Category
Accoona www.accoona.com A.I. Search (HM)
AfterVote (SEM) www.aftervote.com Social Search
Agent 55 www.agent55.com MetaSearch
AllTha.at www.allth.at Continuous Search
AnswerBus www.answerbus.com Semantic Search
Blabline www.blabline.com Podcast Search
Blinkx* www.blinkx.com Video Search
Blogdigger www.blogdigger.com Blog Search
Bookmach.com* www.bookmach.com Bookmark Search
ChaCha* (#1 2006) www.chacha.com Guided Search
ClipBlast!* www.clipblast.com Video Search
Clusty* www.clusty.com Clustering Search
CogHog www.infactsolutions.com/projects/coghog/demo.htm Semantic Search
Collarity* www.collarity.com Social Search (HM)
Congoo* www.congoo.com Premium Content Search
CrossEngine (Mr. Sapo)* www.crossengine.com MetaSearch
Cydral http://en.cydral.com Image Search (French)
Decipho* www.decipho.com Filtered Search
Deepy www.deepy.com RIA Search
Ditto* www.ditto.com Visual Search
Dogpile www.dogpile.com MetaSearch
Exalead* www.exalead.com/search Visual Search
Factbites* www.factbites.com Filtered Search
FeedMiner www.feedminer.com RSS Feeds Search
Feedster www.feedster.com RSS Feeds Search
Filangy www.filangy.com Social Search
Find Forward www.findforward.com Meta Feature Search
FindSounds* www.findsounds.com Audio Search
Fisssh! www.fisssh.com Filtered Search (HM)
FyberSearch www.fybersearch.com Meta Feature Search
Gigablast* www.gigablast.com Blog Search
Girafa* www.girafa.com Visual Display
Gnosh www.gnosh.org Meta Search
GoLexa www.golexa.com Meta Feature Search
GoshMe* (SEM) www.goshme.com Meta Meta Search
GoYams* www.goyams.com Meta Search
Grokker* www.grokker.com Meta Search
Gruuve www.gruuve.com Recommendation Search
Hakia www.hakia.com Meaning Based Search
Hyper Search http://hypersearch.webhop.org.90.seekdotnet.com Filtered Search
iBoogie www.iboogie.com Clustering Search
IceRocket* www.icerocket.com Blog Search
Info.com www.info.com MetaSearch
Ixquick* www.ixquick.com Meta Search
KartOO* www.kartoo.com Clustering Search
KoolTorch (SEM) www.kooltorch.com Clustering Search
Lexxe* www.lexxe.com Natural Language Processing (NLP)
Lijit www.lijit.com Search People
Like* www.like.com Visual Search
LivePlasma* www.liveplasma.com Recommendation Search (HM)
Local.com* www.local.com Local Search
Mamma www.mamma.com MetaSearch
Mnemomap www.mnemo.org Clustering Search
Mojeek* www.mojeek.com Custom Search Engines (CSE)
Mooter* www.mooter.com Clustering Search
Mp3Realm http://mp3realm.org MP3 Search
Mrquery www.mrquery.com Clustering Search
Ms. Dewey* www.msdewey.com Unique Interface (HM)
Nutshell www.gonutshell.com MetaSearch
Omgili www.omgili.com Social Search
Pagebull* www.pagebull.com Visual Display
PeekYou www.peekyou.com People Search
Pipl http://pipl.com People Search
PlanetSearch* www.planetsearch.com MetaSearch
PodZinger www.podzinger.com Podcast Search
PolyMeta www.polymeta.com MetaSearch
Prase www.prase.us MetaSearch
PureVideo www.purevideo.com Video Search (HM)
Qksearch www.qksearch.com Clustering Search
Querycat http://querycat.com F.A.Q. Search (HM)
Quintura* www.quintura.com Clustering Search
RedZee www.redzee.com Visual Display
Retrievr http://labs.systemone.at/retrievr/ Visual Search
Searchbots www.searchbots.net Continuous Search
SearchKindly www.searchkindly.org Charity Search
Searchles* (DumbFind) www.searchles.com Social Search
SearchTheWeb2* www.searchtheweb2.com Long Tail Search
SeeIt www.seeit.com Image Search
Sidekiq* www.sidekiq.com MetaSearch
Slideshow* http://slideshow.zmpgroup.com/ Visual Display
Slifter* www.slifter.com Mobile Shopping Search (HM)
Sphere www.sphere.com Blog Search
Sproose www.sproose.com Social Search
Srchr* www.srchr.com MetaSearch
SurfWax* www.surfwax.com Meaning Based Search
Swamii www.swamii.com Continuous Search (HM)
TheFind.com* www.thefind.com Shopping Search
Trexy* www.trexy.com Search Trails
Turboscout* www.turboscout.com MetaSearch
Twerq www.twerq.com Tabbed Results
Url.com* www.url.com Social Search
WasaLive! http://en.wasalive.com RSS Search
Web 2.0* www.web20searchengine.com Web 2.0 Search
Webbrain* www.webbrain.com Clustering Search
Whonu?* www.whonu.com MetaSearch
Wikio* www.wikio.com Web 2.0 Search
WiseNut* www.wisenut.com Clustering Search
Yoono* www.yoono.com Social Search
ZabaSearch* www.zabasearch.com People Search
Zuula* www.zuula.com Tabbed Search (HM)

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Monday, July 09, 2007

Get A Little Bling At HotOrNot

San Francisco based HotOrNot, a popular online dating site which has broken most of the de-facto rules of running a silicon valley startup, is shaking things up again.

For the last several months they’ve been testing a new service called Hotlists, which lets users add a little brand bling to their profile and build out their identity through association. Co-founder James Hong writes about the new product on his blog today. I interviewed Hong last week in anticipation of this post - hear the podcast over on TalkCrunch.

HotOrNot users have been able to add descriptive tags to their profiles for years (well before “tags” were made popular by sites like Technorati and Flickr). But Hong and co-founder Jim Young wanted to let people add a visual “tag” too, and even let social networks pop up around these tags.

So they added quietly added “Hotlists” earlier this year, letting users add a brands, people, things, whatever to their profile along with a visual cue. Already, a significant portion of HotOrNot’s users have added things to their HotList, even though the site has not promoted the feature at all. People just see it on other profiles, then add it to their own, too.

The profile above shows Hong’s Hotlist, which includes brands like Sprint, Nike and Apple, as well as the band Snow Patrol and others. Users can add anything at all to their Hotlist - if it doesn’t exist there is a simple process for creating it, adding an image and descriptive keywords. All users who then add it to their profile are linked in the service, and there is a dedicated page for each item that shows all users who’ve added it and lets people leave comments.

The purpose of Hotlists, says Hong, are to bring people together who have similar interests, something the site has done a very good job at over the years (up to ten marriages per day occur between people who’ve met on the service). But it also happens to be a brilliant business strategy, too.

Hotlists tell HotOrNot exactly what brands, bands, movies, TV shows and other cultural trends their users like. HotOrNot will learn over time to spot new trends (the hot new bands, for example), as they begin to rise in popularity in the Hotlists. And they will be able to market stuff to their users with a previously unheard of degree of precision.

This is a rare example of a new feature that strongly appeals to users (the adoption rate speaks for itself), and is also great for business. The more things people add to their Hotlist, the more information HotOrNot has about them. And over time they’ll be able to make money, I suspect, from that information.

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