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VC guy from Cologne, Germany.
I love DIY, photos, books, food and things that make you feel well, like new sneakers.

This blog contains pics, reblogs, quotes, links and me. It is mostly a snapshot of little things making my day, ranging from the private to the ultimately professional.

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    Can someone plot fake users against this?

fred-wilson:


joelaz:

Twitter Growth
I was curious how fast Twitter was growing, so I spent a few minutes just now digging into some data (it’s raining and I’m bored).  Twitter assigns sequential IDs to each post on their site.  By analyzing those ID numbers in relation to the time elapsed between two posts, you can estimate the total number of updates made by all Twitter members.  The chart above shows the total number of post IDs that were assigned each day over the last year or so.  While it’s possible that some IDs are generated for posts that were deleted or by hiccups in their system, I imagine this is a fairly accurate view of their post volume and growth trends. A few interesting highlights:

Twitter is currently generating almost 4 million post IDs per day on average.
Post growth increased significantly towards the end of last year and Twitter has been on the hockey stick curve since then. 
The spike you see in early November is election day, which was a huge day for Twitter.
Twitter is still relatively small compared to status update volume on Facebook. Facebook publically disclosed that at least “15 million users update their statuses at least once each day”.

Interesting data.  Twitter has clearly passed some sort of tipping point, but can they catch up to Facebook?

    Can someone plot fake users against this?

    fred-wilson:

    joelaz:

    Twitter Growth

    I was curious how fast Twitter was growing, so I spent a few minutes just now digging into some data (it’s raining and I’m bored).  Twitter assigns sequential IDs to each post on their site.  By analyzing those ID numbers in relation to the time elapsed between two posts, you can estimate the total number of updates made by all Twitter members.  The chart above shows the total number of post IDs that were assigned each day over the last year or so.  While it’s possible that some IDs are generated for posts that were deleted or by hiccups in their system, I imagine this is a fairly accurate view of their post volume and growth trends. A few interesting highlights:

    • Twitter is currently generating almost 4 million post IDs per day on average.
    • Post growth increased significantly towards the end of last year and Twitter has been on the hockey stick curve since then.
    • The spike you see in early November is election day, which was a huge day for Twitter.
    • Twitter is still relatively small compared to status update volume on Facebook. Facebook publically disclosed that at least “15 million users update their statuses at least once each day”.

    Interesting data.  Twitter has clearly passed some sort of tipping point, but can they catch up to Facebook?



    Reblogged from Fred Wilson Dot VC.

    February 23, 2009   Comments

    1. yeis reblogged this from soupsoup
    2. auerbach reblogged this from joelaz
    3. nicolo reblogged this from joelaz
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    5. igniter reblogged this from betaworks
    6. betaworks reblogged this from rafer and added:
      Scott Rafer’s Blog
    7. pheelmore reblogged this from fred-wilson and added:
      Can someone plot fake users against this? fred-wilson:
    8. timedesk reblogged this from fred-wilson
    9. jhnbrssndn reblogged this from fred-wilson
    10. tjpytheas reblogged this from fred-wilson
    11. giantrobotlasers reblogged this from joelaz and added:
      great post about estimating twitter growth:
    12. kevincurry reblogged this from fred-wilson
    13. sdchan reblogged this from joelaz
    14. r reblogged this from joelaz
    15. heyitsnoah reblogged this from joelaz
    16. soupsoup reblogged this from fred-wilson and added:
      I was curious how fast Twitter was growing, so I spent a few minutes just now digging into some data (it’s raining and...
    17. fred-wilson reblogged this from joelaz
    18. ryanparker reblogged this from joelaz
    19. pinksage reblogged this from gabrieli
    20. gabrieli reblogged this from joelaz
    21. rafer reblogged this from joelaz and added:
      relevant question (in spite of the Killer analysis, thank you!)....this tipping point
    22. caterpillarcowboy reblogged this from joelaz
    23. david-noel reblogged this from joelaz and added:
      Great work there, Joe - interesting!
    24. joelaz posted this