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Hey guys! I've just discovered your project, and I just want to say - it looks amazing! Simple, no-nonsense analytics showing me everything I need to know and nothing I don't care about is exactly what I was looking for!

I've integrated it into my Next.js app in a few minutes, so simple. Docs are great. Found your posts and Indie Hacker page, and, as an aspiring founder myself, found it them very inspiring.

Great work!

Hey guys! I wrote my first Godot tutorial about making a simple but fun 3D game where you play as a rolling ball. Come take a look, let me know what you think!

I'd really appreciate any feedback. Is the tutorial interesting/useful? Are the instructions clear? Is there anything I could've done better?

I am building a marketplace for Godot Assets:

The project is still in beta, but I think it's finally ready for early adopters!

If you're interested in selling/buying godot assets - come take a look, let me know what you think!

Please let me know if you have any questions, suggestions, or encounter any issues.

I hope this project will be useful to the Godot community and help godot developers make some extra income!

If you're asked, for example, what could go wrong, the worst possible answer is "nothing." Instead of convincing them that your idea is bullet-proof, this will convince them that you're a fool or a liar.

Far better to go into gruesome detail. That's what experts do when you ask what could go wrong. The partners know that your idea is risky. That's what a good bet looks like at this stage: a tiny probability of a huge outcome.

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The ideal combination is the group of founders who are "living in the future" in the sense of being at the leading edge of some kind of change, and who are building something they themselves want. Most super-successful startups are of this type.

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If other people both knew about this need and were able to satisfy it, they already would be, and there would be no room for your startup.

Which means the conversation during your YC interview will have to be about something new: either a new need, or a new way to satisfy one. And not just new, but uncertain. If it were certain that the need existed and that you could satisfy it, that certainty would be reflected in large and rapidly growing revenues, and you wouldn't be seeking seed funding.

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As long as you have some users, there are straightforward ways to get more: build new features they want, seek out more people like them, get them to refer you to their friends, and so on. But these techniques all require some initial seed group of users.

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If I had to decide whether to fund startups based on a single question, it would be "How do you know people want this?"

The most convincing answer is "Because we and our friends want it." It's even better when this is followed by the news that you've already built a prototype, and even though it's very crude, your friends are using it, and it's spreading by word of mouth.

Sam Altman Q&A notes:

Nuclear fusion is making strides. In the future intelligence and energy might be free. In the past these seemed to be the strongest limitations.

Radical live extension is getting interesting.

Behavioral cloning probably much safer than evolving a bunch of agents. We can tell GPT to be empathic.

Merging (maybe via BCI) most likely path to a good outcome.

Don't try to persuade people your belief is true; instead, explain how you came to believe it (to whatever extent you do believe it):

Observe your thinking. Every time you have a thought, ask - how is this helping me to achieve what I want to achieve?

Feynman technique - a simple and powerful way to rapidly learn and retain new concepts.

1. Write down the name of concept you're trying to learn.

2. Explain it in plain English, as if you were teaching it to a new student.

3. Identify things you couldn't explain well, re-read the source material and research them. Try explaining again until these knowledge gaps are gone.

4. Simplify your explanation, get rid of technical terms and use simple analogies. ELI5.

Mental models are thinking tools that you can learn (or develop) and apply to many situations to make optimal decisions.

Intentionally expand your mental toolbox, build a “latticework” of mental models that work well. It will help you to efficiently reason about the world and solve problems.

Hands down, the most insightful article I've read this whole year:

A guy who has spent several months working with Elon Musk and writing about him, explains how to learn "Original Thinking" - the process Elon Musk is using to come up with his ideas. Highly recommend it!

1. Have a glimpse of a great vision, what the world *should* look like, what *should* happen.

2. Imagine the world 30 years from now. Think "Wouldn't it be ridiculous if we didn't have this?"

Take the initial glimmer of an idea so far out that you don't have to worry how you get there.

3. Bring it back closer to the present, until it's achievable and realistic.

Instead of innovating out from the present, invent the future from the future.

- Adaptability, pivoting > Ego
- Knowledge of where the money is > No knowledge of it
- Overestimating cost/expenses > Underestimating it
- Patience > No Patience
- No procrastination > Procrastination
- Reading books > Not reading books
- Small clients > one big client

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- Talking to people, networking > Not talking to people
- Bug free > Elegant code
- UX > UI
- Simple products that do one thing well > Complex products
- Understanding entire market > understanding some people
- Building brand > Making quick money (for the long run)
- Sleep, exercise & healthy food > late night coding
- Solving your problem first > Solving the worlds problems

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