Patrick McKenzie

@patio11

I work for the Internet, at , mostly on Atlas. Opinions here are my own.

東京都 Tokyo
Joined February 2009

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  1. Pinned Tweet

    The tweeting will continue until software labor market efficiency improves!

  2. I did a podcast with StartupCTO.io on engineers cross-training on sales, marketing, and business.

  3. If your first love in computers also happened to be machine learning then this will probably be a fun read:

  4. When you see this dialog you know it's going to be bad but then you read it and realize that it's a rabbit hole straight into Hell.

  5. If you think of it like "I am producing a marketing deliverable for my customer", OTOH, you produce an entirely different product/feature.

  6. If you think of it like a map, geographical accuracy (Springfield pins don't end up in Chicago) a high priority; looks are not.

  7. Intercom had a map of users they exposed in-product; realized people used more to brag than to analyze; built a "worse" map qua map.

  8. The counterintuitive thing about some B2B startups is that some exist mainly because they charge more than competitors, not less.

  9. (I like when "meh it's just a /command to get this done and then I'll ping someone" feels easier than "let me Trello that for tomorrow.")

  10. (Appropriately for listening to a talk by Slack: this is why I love Slack integration on lots of internal tools.)

  11. I can literally feel "Eff it maybe tomorrow" setting in when I know that I'm going to have to do 10 things to accomplish a grindy task.

  12. This is one of those "all models are wrong but some models are useful" times.

  13. I don't know whether decision fatigue is real but model number of decisions you can ask for as a day as a scarce, valuable resource.

  14. A major goal of internal tooling (and SaaS for that matter) is to reduce the number of decision points you present the user.

  15. Patrick McKenzie followed and
  16. (Mamoon Hamid at )

  17. The first sales hire at a SaaS company should be a "player/coach"; someone who can figure out how to sell your product, execute, THEN hire.

  18. Daily Active Users (people who used in last 24h) and Monthly Active Users (last 30 days), respectively.

  19. DAU / MAU over 50% in an enterprise SaaS company is insanely impressive. (That's like a Slack-ish sort of number; really rare.)

  20. Quick ratio: MRR growth in a period / MRR contraction (churn, etc) >= 4 implies strength in a SaaS company, per Mamoon Hamid

  21. (They're getting much better software, too.)

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