Leo von Kleist

@KleistLeo

Here to learn 👀Interests include ML , VC memes, China, and software in unsexy industries 🔧 Currently studying @ ETH Zurich

Zurich, Switzerland
Vrijeme pridruživanja: veljača 2019.

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  1. Prikvačeni tweet
    3. stu 2019.

    Buying experiences makes you happier than buying things. Pretty sure the reason is that it‘s harder to compare experiences than objects („I have a Mercedes but John has a Ferrari!“ ✅ „I got a massage but John got a much better massage!“❌) => avoids hedonic treadmill

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  2. proslijedio/la je Tweet
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  3. proslijedio/la je Tweet
    18. pro 2019.

    When does "additional customer data no longer enhance the value of an offering? The more slowly the marginal value decreases, the stronger the barrier is. Note that you should judge the value of the learning by customers’ willingness to pay."

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  4. 16. pro 2019.

    From HN: Challenging Projects every Programmer should try by

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  5. 5. pro 2019.

    Wait, is it just me or was Netflix only included in FANG to avoid spelling out an offensive slur? 😬

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  6. 2. pro 2019.

    „To be successful a founder must seek out uncertainty and then must manage the company through it and emerge from the other end with a moat.“

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  7. proslijedio/la je Tweet
    1. pro 2019.

    Do x iff not having it is the main thing constraining your growth. Repeat.

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  8. proslijedio/la je Tweet
    30. stu 2019.

    Economists: "Wow, what an efficient auction mechanism. Amazing!" Computer scientists: "This is literally bubble sort. Gross."

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  9. proslijedio/la je Tweet
    25. stu 2019.

    Novelty and Heresy:

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  10. 23. stu 2019.

    (9/9) In conclusion: most people are nice and want to make you happy by saying good things about your idea. Don‘t let them. Ask specific questions about past behavior to test your hypotheses and kill bad ideas early. Thanks to for posting about this book a while ago

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  11. 23. stu 2019.

    (8/9) in the early stages, frame the meeting (mentally) as talking to a potential industry advisor who can introduce you to other people and give feedback. In the later stages, get a concrete commitment at the end of the meeting, e.g an introduction or a signup for alpha tests

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  12. 23. stu 2019.

    (7/9) how do you know when you’ve had enough customer conversations? When you stop getting new interesting information from each additional meeting

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  13. 23. stu 2019.

    (6/9) Preparation: first, have a specific market segment. Otherwise you won‘t be interviewing your customers 10 times, but 10 different kinds of customers 1 time.

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  14. 23. stu 2019.

    Don‘t be too formal. If the vibe is „casual chat“, then people are more likely to be honest and make useful, off-handed comments that give you new information

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  15. 23. stu 2019.

    (4/9) Ask the questions that scare you: have specific hypotheses that you want to validate or invalidate during the conversation. You want to tackle the sources of greatest uncertainty first.

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  16. 23. stu 2019.

    (3/9) Ask about their current solution to the problem. Hint: If they say they have problem X but they‘re not actively trying to solve it - they probably don‘t really have problem X

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  17. 23. stu 2019.

    (2/9) avoid mentioning your idea for as long as possible - people will say it‘s great and useful in order to be nice. Instead, have a few questions about their specific behavior in the past and go from there

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  18. 23. stu 2019.

    I just finished The Mom Test by , and it showed me how much my previous approach to customer conversations sucks and makes people lie to me to be nice. You‘re probably doing it wrong too. Thread (1/9)

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  19. 23. stu 2019.

    (7/9) how do you know when you’ve had enough customer conversations? When you stop getting new interesting information from each additional meeting

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  20. 23. stu 2019.

    (6/9) Preparation: first, have a specific market segment. Otherwise you won‘t be interviewing your customers 10 times, but 10 different kinds of customers 1 time.

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  21. 23. stu 2019.

    (5/9) Ask the questions that scare you: have specific hypotheses that you want to validate or invalidate during the conversation. You want to tackle the sources of greatest uncertainty first. Also don‘t be too formal - if the vibe is casual, people are more honest

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