Katsuya

@kn

463 Following

3715 Followers

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Congratulations! Dream team 🚀

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What is the best AI product for sourcing candidates for hiring via LinkedIn? I want to do smart filtering beyond the LinkedIn search features, e.g., >5 years out of college but <10 years of experience, etc. I have tried OpenAI Operator, but it seems like it's not capable of summarizing content from long browsing sessions yet, e.g., it stops browsing after a few candidates, makes up fake lists if request to make a long list, etc.

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Tried a few suggestions and ottogrid.ai is the best so far 🙏

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Just tried this - quite good!

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What is the best AI product for making a list with internet access, e.g., making a list of potential customers/companies? I have tried Google Sheet with Gemini but it does not have internet access and the results are not comprehensive.

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Got this today. Great rec!

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Yeah, I worried about difference between unwrapping vs selling wbtc for btc in terms of tax events but there is no clear IRS guidelines around this anyway 🤷🏻

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Coinlist seems like a reasonable choice.

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If I have WBTC in coinbase, what’s the most convenient way to unwrap it and put the BTC back into coinbase?

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It's interesting that most SWE roles don't need algorithmic skills but the algorithmic questions still dominate interview questions, while most don't assess more practical skills like finding and selecting the right libraries to use.

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Curious, any particular reasons?

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If you have tried both, why Cursor > Github Copilot + VS Code?

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My weakly held theory is that it reverse correlates with economic disparity.

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Congratulations!

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Huge respect for their relentless iterations 🫡

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Sourcing traveling ideas for my mother’s 60th birthday next year 🙏 A few criteria: - No outdoor activities - Good food and wine - Warm (flexible in terms of time to visit) Potentially thinking Maldives, San Sebastian In the past, she loved visiting Paris, Bordeaux, Venice, Lake Como, Barcelona, LA, Honolulu, NYC, Copenhagen.

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https://www.youtube.com/watch?v=rGyQHyDMZZI

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It could be as simple as their scars from missing the mobile wave (at the platform level, not just apps). Now, they take every potential platform shift (VR, crypto, LLMs) very seriously.

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