Skip to content
HomeVideosBooksBlogs
AllTop postsTopics
Podcasts
HistoryListsWatch laterLiked videosFollowing

The videos, books, blogs and podcasts Hacker News keeps recommending, all in one place.

VideosBooksBlogsPodcastsAboutPrivacySettings

Data from Hacker News, HackerTube, HackerBooks, HackerBlogs and Open Library. Credits · Not affiliated with Y Combinator.

HomeVideosBooksBlogsPodcasts
Ctrl K
    B

    Bumblebee Labs

    blog.bumblebeelabs.com · Personal blog · on HN since 2008

    Bumblebee Labs is a blog on social software, online communities, user testing, and the web, written around 2010 and 2011.

    Visit blogHN submissions
    Culture & SocietyDesign & UXStartups
    What HN says

    HN commenters cite its Evaporative Cooling Effect post to explain why online communities decline in quality as they grow, such as Convore and Grubwithus.

    Stats for nerds
    29HN people shared it
    37linked in comments
    761story points
    Oct 2020last shared
    2010people per year2020

    Top posts on HN

    1. 1
      The Evaporative Cooling Effect in Online Communities
      19 people · 204 points · first shared 2010 · 35 comments on HN
    2. 2
      The $5 Guerrilla User Test
      4 people · 160 points · first shared 2010 · 48 comments on HN
    3. 3
      Humor on the web and how to stop it
      2 people · 75 points · first shared 2010 · 46 comments on HN
    4. 4
      My Mega HN Dinner Party (32 people, 7 courses)
      1 person · 74 points · first shared 2010 · 30 comments on HN
    5. 5
      Augmented Reality is the killer app for the iPhone 3GS
      1 person · 46 points · first shared 2009 · 23 comments on HN
    6. 6
      Mechanical Turk changes how we understand labor
      1 person · 38 points · first shared 2009 · 21 comments on HN
    7. 7
      My HN Dinner Party #1
      1 person · 27 points · first shared 2010 · 9 comments on HN
    8. 8
      My HN Dinner Party #2
      1 person · 20 points · first shared 2010 · 4 comments on HN
    9. 9
      The billion dollar genius ego dilemma
      1 person · 17 points · first shared 2009 · 8 comments on HN
    10. 10
      My HN Dinner Party #6
      1 person · 16 points · first shared 2010 · 7 comments on HN

    What HN people wrote when they linked it

    • vitovitoJun 2014

      After this, he gave a much longer, more detailed talk about social software and small group theory, "A Group is its Own Worst Enemy": http://www.shirky.com/writings/group_enemy.html

      The talk is an accurate and accessible adaptation of 50 years of sociological research by Bion and others in "small group research" and "group dynamics."

      If this sort of thing interests you, you might also like social interaction designer Xianhang Zhang's compelling anecdotes: http://blog.bumblebeelabs.com/social-software-sundays-2-the-evaporative-cooling-effect/

      And my own essay on the Austin design community, with hypotheses about how communities work at the end: http://distance.cc/issues/01/01c-Vitorio-Miliano.html

      There are about 150 footnotes in the essay, but I pulled out all the references into a separate PDF, and linked to all of the papers and talks that are available online or out-of-copyright, which would be a good starter kit for anyone looking to do social software correctly: http://distance.cc/issues/01/vitorio-colophon.pdf

      ( I follow up that essay with another one, talking about professionalism in design and the future of design practices, and Distance is on clearance now for $5 if you want to read it: http://distance.cc/ )

      After I wrote my essay, a couple scholars produced a book called "Successful Online Communities: Evidence-Based Social Design." I haven't read it cover-to-cover, but the parts I did read were very good, lots of well-researched advice for new social…

    • dredmorbiusJul 2015

      First off, for anyone looking at web reputation systems, read the book on the subject: Randy Farmer and Bryce Glass, Building Web Reputation Systems:

      Book: http://shop.oreilly.com/product/9780596159801.do

      Wiki: http://buildingreputation.com/doku.php

      Blog: http://buildingreputation.com/

      I can pretty much guarantee there are elements of this you're not considering which are addressed there (though there are also elements which Farmer and Glass don't hit either). But it's an excellent foundation.

      Second: If you're going to have a quality classification system, you need to determine what you are ranking for. As the Cheshire Cat said, if you don't know where you're going, it doesn't much matter how you get there. Rating for popularity, sales revenue maximization, quality or truth, optimal experience, ideological purity, etc., are all different.

      Beyond that I've compiled some thoughts of my own from 20+ years of using (and occasionally building) reputation systems myself:

      "Content rating, moderation, and ranking systems: some non-brief thoughts"
      http://redd.it/28jfk4

      ⚫ Long version: Moderation, Quality Assessment, & Reporting are Hard

      ⚫ Simple vote counts or sums are largely meaningless.

      ⚫ Indicating levels of agreement / disagreement can be useful.

      ⚫ Likert scale moderation can be useful.

      ⚫ There's a single-metric rating that combines many of these fairly well -- yes, Evan Miller's lower-bound Wilcox score.

      ⚫ Rating for "popularity" vs. "truth" is very, very…

    • seijiJul 2015

      The overall readership size isn't of great concern (the more the merrier), but it breaks down when people start interacting at scale. It breaks down when posts start getting thousands of upvotes or tens of thousands of comments. At that point, why bother?

      Depending on where you step in Reddit, it's either steeped in a common shock culture (relate everything back to racism, sexism, nazis, 4chan dirty memes, ...) or just friendly nonsense. You never know what will show up where.

      All this has happened before, all this will happen again. http://shirky.com/writings/group_enemy.html — http://blog.bumblebeelabs.com/social-software-sundays-2-the-evaporative-cooling-effect/

      You have to fit your thinking to fit the social masses because you can't manipulate the masses enough to fit your clever business model (unless you can demand monopolistic lock-in to force behavior).

    • jfarmerJul 2012

      A slightly better article on the same topic from a few years ago: http://blog.bumblebeelabs.com/social-software-sundays-2-the-evaporative-cooling-effect/

      It's funny we couch it in such intellectual language. There's an everyday word for this: Potemkin village.

      http://en.wikipedia.org/wiki/Potemkin_village

      Or, a thought experiment. What's more valuable? A social network with 10,000 people who are all at most two degrees of separation from everyone else in real life? Or a social network filled with 10,000 people from around the world, selected at random?

      Could you even call the second thing a "social network?"

    • acabalOct 2012

      Oh, please. That comment is in reply to one at the very, very bottom. (As I'm viewing it.)

      Cherry-picking a single--frankly, not really that rude or terrible--comment isn't proving anything.

      In either case, the "good old days" never existed. See: http://blog.bumblebeelabs.com/social-software-sundays-2-the-evaporative-cooling-effect/

      I get it, though. It feels good to be self-righteous. So let's go nuts, let's have this little drama in this thread and give PG and the mods another headache they don't want or need. As the owner of a social network for over five years, I feel for them.

    • lotharbotFeb 2010

      You may be interested in "the $5 Guerrilla User Test", which was posted on HN last week:

      http://news.ycombinator.com/item?id=1120820
      and
      http://blog.bumblebeelabs.com/the-5-guerrilla-user-test/

      the basic idea is to go into a bar and find someone who's a little bit drunk who'll spend 15 minutes using your software in exchange for a drink. "Watch your application crash & burn as people do all sorts of ridiculous ass shit they would never do in a lab but constantly do in real life", and learn from it.

    Related

    Y Combinator Blogblog.ycombinator.com643 people

    Request For Research: Basic Income

    Y Combinator Blog
    Company · last shared 2025
    LessWronglesswrong.com2.4k people

    The Best Textbooks on Every Subject

    LessWrong
    Publication · last shared 2026
    BitTorrent Labslabs.bittorrent.com44 people

    BitTorrent Chat - Private instant messaging via secure, distributed technology

    BitTorrent Labs
    Company · last shared 2015
    Look What I Mademedium.com/look-what-i-made42 people

    How we use BitTorrent to improve our design sharing workflow

    Look What I Made
    Publication · last shared 2014
    Beeper Blogblog.beeper.com49 people

    Beeper acquired by Automattic

    Beeper Blog
    Company · last shared 2026
    Figma Blogfigma.com608 people

    How to build a plugin system on the web and also sleep well at night

    Figma Blog
    Company · last shared 2026
    Fly.io Blogfly.io555 people

    My AI skeptic friends are all nuts

    Fly.io Blog
    Company · last shared 2026
    Airbnb Engineeringmedium.com/airbnb-engineering259 people

    Introducing Lottie: Airbnb's tool for adding animations to native apps

    Airbnb Engineering
    Company · last shared 2026