It was very context specific, but the critical advice YC gave us: 1. Start a new class monthly, not every 6-12 months, which is why we’re about to start cohort 13 not cohort 2. 2. We wanted to sell future cashflows on the blockchain. They pointed out you don’t need cryptohttps://twitter.com/lpolovets/status/1011490957521444865 …
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Replying to @AustenAllred
#1 is great -- optimizing for more iterations/at-bats can be truly game-changing.
2 replies 0 retweets 17 likes -
Replying to @lpolovets
Seriously revolutionary. A competitor ended up having had 40 students after two years. We’ll have had at least 1,500 by then. Learning to do Lambda at scale is completely different than 20 ppl at a time. Funnily enough it’s actually better there because then you can specialize.
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Replying to @AustenAllred
I once saw a talk (by
@SeanEllis iirc) on running growth teams. I may be misstating it, but the speaker suggested using "# of experiments/time period" as a KPI. I always thought that was good advice for startups in general. The more tests you do w/customers, the faster you learn.3 replies 4 retweets 43 likes -
Replying to @lpolovets @SeanEllis
I think that’s a great metric. Lambda employees will tell you that whenever we have an idea on something to try we try to figure out how to launch an MVP of it in thirty minutes or less. Most experiments don’t work, but if a test only takes 30 mins we have almst infinite swings
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I would love to know what percentage of the MVPs are "Austen will tweet about this feature we don't have yet and see what people say/how many people like it."
1 reply 0 retweets 0 likes
That’s the thing - most things you can test take a simple page/form and a couple people to try it out. I can solve the latter half every time.
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