Louis Gray

"I attended the session and took notes via laptop, so all quotes are "best effort." <--your disclaimers = epic. - Mona N.

Sorry I didn't get see you after the session - would have liked to say hi. Hopefully see you at the next Open House! - Bret Taylor

Mona - I agree completely. Love him or hate him, Scoble (among others) arrives, brings the crowd with him, and then leaves once the crowd has become too large and the static too loud. - Jonathan Beckett

Bret, it was a good presentation - and I've met you before, so no need, honestly. I didn't want to compete with Kara's camera. I was hoping to say hi to Loic, but to stand in line, with crying twins at home, I had to bail. :-) (And yes, I changed the headline from Missteps to Surprises, as that's more accurate) - Louis Gray

That was a good read, great insight into the on goings of a start up. Thanks for attending and taking notes. - Tsega Dinka

Bret's presentation via Loic - http://friendfeed.com/e/ed226b... - mojay

I don't leave many services. I just get a lot less enthusiastic about them sometimes. - Robert Scoble

"We are working on relevancy now. It's reflected in the different ways that people use a feed reader, as some see it as a new e-mail box and others ask to show the things that are interesting right now" - Shakeel Mahate

I think that just the fact that monetization is being discussed as openly as possible and is in the forefront is uber healthy and is a signal that FF is in good hands, - Brian Sullivan

monetize the zemanta way, mouseover ads - Gregory Lent

"But so far, the team is still playing catch-up. Bret added, "For the one year or so we have existed, we put less into relevancy and more into filtering tools. We are working on relevancy now."" Relevancy, relevancy, relevancy. Automatically push to the top of the queue what is most interesting for each of us individually. And amp up the discussion features. (Great article by Louis Gray.) - Sean McBride

Relevancy issues: attention matching, attention profiling, clickstream mining, personal profiling, ranking by interestingness, recommender systems, similarity ranking, statistical machine learning, text mining. Google recommends websites. Netflix recommends movies. Amazon recommends books. Friendfeed should recommend people, news and discussions. - Sean McBride

Great article Louis, thanks - Toby Graham

I'd love to read or learn a bit about FF *architecture*. I'm sure you guys learned so many lessons, and there are several of us that would like to build equally scalable, true www services. FF is such an inspiration, I'm just bursting to build something complementary. - Christopher Galtenberg

Nice article Louis. I posted my thoughts based on the Kara Swisher video interviews on my site http://lifestreamblog.com/vide... and just saw this and posted a link to your story. I really wish I could have gone to this event. - Mark Krynsky

Next time ... zoom lens ... geesh :) - Charlie Anzman