ericminick.bsky.social
25 posts
55 followers
97 following
Regular Contributor
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There are a number of very tame applications that are normalizing like feeding logs from failed builds through the LLM.
Saves digging through the log, googling error messages etc.
Simple, low risk, eliminates engineer drudgery.
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Absolutely, treat every story as an experiment, and monitor the results. It’s the only way to steer our products toward success!
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Yeah… software to help your marketing teams is subject to the same build vs buy decision making as everything else.
And generally if it isn’t core to your differentiation, buying is better.
But you get techies in the marketing org to wire all this together.
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If your execs won’t spend money (time) on this grab the Knight Capital case study.
One of many contributing factors.
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And so.. I work hard on content and technical features (like great content suggestions and even autoplay) which are likely to keep you watching more Netflix rather than another entertainment provider or even going to sleep.
Netflix competes against sleep... because in the long term it makes money.
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Yes and no...
If I'm Netflix, I am absolutely trying to make the most money (really profit over the long term). But to do that, I'm going to be working a number of proxy metrics most importantly keeping your attention because I know that if you watch a lot of Netflix, you're likely to renew.
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No.
You have people thinking hard every day about what tech is most likely to help your company make the most money.
If you look at the biggest companies on the planet, you can clearly convert tech into $$$
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My first job out of college had a "server" that ran our phone system cooled by a box fan. Good times.