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Prikvačeni tweet
I used to think endianess, the way computers put bits of bytes together, was some nonsense word. It turns out it’s based on Gulliver’s Travels. Two factions feud over which end to break the hard-boiled egg, the big-endians vs the small-endians.
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I am going to feel stupid and that’s ok.
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I had planned to go deep on ML this year. But a lot of the bleeding edge feels like twisting knobs or memorizing APIs. So while I wait for fancy ML to get easier, I’m switching gears to stats, starting with these. The last stats I did was AP Statistics in 10th grade

pic.twitter.com/usaupfMSd5
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The code, for those who want to see my sloppily assembled garbage. https://github.com/teej/funnels/blob/master/funnel.py … This one's for you
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I have strict multi-step working as well. A couple things worth exploring in more depth - * Strict vs loose funnel support * Allowing event metadata filtering * Cycle counting (A->B->A->B->C)
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So far it's scaled up in linear time. All in memory on my local MBP: * 40-50 bytes of RAM per event stored * Query runs in 400-500ns per scanned event Very naive Python implementation, there's plenty of easy optimizations that could be made.
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Built a thing. I used sorted lists of timestamps, partitioned by user & event. For each user, just walk the two lists for events A & B. Returns # start, # finish, avg arrival time For ~100M events: 10% dropoff runs in < 30s 90% runs in < 2s thanks to
@josh_wills@alangrowhttps://twitter.com/teej_m/status/1222565510178471936 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
TJ Murphy proslijedio/la je Tweet
Dearest friends on growth teams, Don’t do this shit. Hacking the metric instead of the underlying user problems is the fastest path to brand destruction.https://twitter.com/stevesi/status/1222956979171164161 …
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Yeah this didn't age well.
$HMNY was the last single stock I picked, I'm all-in on index funds now. So there's that.pic.twitter.com/d09fTjcJq7
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This is mostly theory crafting but I'm down to build a prototype if I find a good fit for this.
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Is there a good set of data structures and algorithms for doing user funnel analysis? I want to efficiently calculate how many users did A, then did B within N minutes. DBs do okay but range scans can be killer. Bitmap indexes? R-Trees? A bunch of hash tables glued together?
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Pro tip: toil is a great way to persuade management you need better tools. "These 3 folks spend 20 hours a week futzing with data in Excel. We would reduce that to <2 hours if we allocate $15k to use Looker/Mode/Tableau/PowerBI." Much easier sell when you quantify the impact.
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I think about toil for data teams a lot (toil as defined https://landing.google.com/sre/sre-book/chapters/eliminating-toil/ …). Lots of "data analyst" roles are just toil - repetitive, tactical, no judgement report prep. As a leader you can easily 5x their output by managing their toil - delegate, delete, defer.
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It turns out my audience’s #1 interest is dogs, so this is now a dog account. Here is the dog who works next door to me, taking a break after a ruff day.pic.twitter.com/y2AmBqtOf9
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Back in Nov, I had an incredible candidate decline a job offer. She was so good, I revamped our hiring to make sure I found more like her. She just got hit by the Quora layoffs. She's interested in a Data Analyst role at a consumer tech company. DM me for an intro.
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For some, spending 500 hours on leetcode can have a lifetime career value of over $1M. If you’re in that bucket, grinding interview problems is one of the most valuable uses of your time.https://twitter.com/ju_sung_lee/status/1221578159151292417 …
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TJ Murphy proslijedio/la je Tweet
thinkin bout data
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Got a holiday card from
@helena and@woodyhambrecht. I’m both delighted (it’s a lovely card) and pissed that I didn’t think about this when I did growth at@minted.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
TJ Murphy proslijedio/la je Tweet
"It's easier to hold your principles 100 percent of the time than it is to hold them 98 percent of the time." -- Clayton Christensen, giant of enterprise, RIP
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Just a reminder— I asked Facebook if I could buy user data, they told me no. I had multiple VPN companies, masquerading as analytics companies, beg to sell me user data. I said no. There's someone out there selling your data but it's not who you think.
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I’ve done hiring but there’s nothing more satisfying than putting together a team. I get chills thinking about the sick stuff we will do together that we couldn’t do apart. It’s all coming together.
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