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做产品需要寻找MPF，市场产品契合点 但在此之前，其实可以先寻找CSF CSF是内容场景契合点 什么叫内容场景契合点？ 每个产品都有属于自己的功能 但这个功能对不同人群，是有不同的场景需要的 比如你的产品是vibe coding做应用的 那你能做出各种各样的应用 这些应用天然就有内容传播的潜质 于是问题走向了：我应该做什么样场景下的应用？ 场景有细分，比如办公还是生活？高频还是低频？刚需还是非刚需？ Genspark靠定位办公场景，于是CSF围绕PPT，EXCEL这些来构建，产品也独立出来包装，从而引爆 这些绝不是他首创，因为早在23年，chatppt,chatdoc，各种能火爆一时的产品已经层出不穷了，他需要做的是收集信息，然后复制，试错验证 于是就把通用Agents靠CSF来完成了内容营销 ------- 前两天和朋友聊到macaron 朋友提及macaron做了一个群聊功能，可以多人一起来构建产品 这时候你思考的CSF是什么？ 什么场景需要多人？多人是什么样的人？情侣，搭子？什么是刚需高频的？ 顺着这个思路我就问，可以试试情侣吵架应用，让AI来当第三方审判，这种矛盾冲突场景很多，看见后就会有欲望下载，再比如这碗该谁洗 / 共同存钱 / 情侣备忘录 朋友说他们之前做过一个吵架问AI的，爆火 -------- 当你找到CSF之后，不需要去做Product，仅仅靠一个Video，一个截图，都可以完成产品验证 如果它无法引爆，那一定是差了点儿什么

做产品需要寻找MPF，市场产品契合点 但在此之前，其实可以先寻找CSF CSF是内容场景契合点 什么叫内容场景契合点？ 每个产品都有属于自己的功能 但这个功能对不同人群，是有不同的场景需要的 比如你的产品是vibe coding做应用的 那你能做出各种各样的应用 这些应用天然就有内容传播的潜质 于是问题走向了：我应该做什么样场景下的应用？ 场景有细分，比如办公还是生活？高频还是低频？刚需还是非刚需？ Genspark靠定位办公场景，于是CSF围绕PPT，EXCEL这些来构建，产品也独立出来包装，从而引爆 这些绝不是他首创，因为早在23年，chatppt,chatdoc，各种能火爆一时的产品已经层出不穷了，他需要做的是收集信息，然后复制，试错验证 于是就把通用Agents靠CSF来完成了内容营销 ------- 前两天和朋友聊到macaron 朋友提及macaron做了一个群聊功能，可以多人一起来构建产品 这时候你思考的CSF是什么？ 什么场景需要多人？多人是什么样的人？情侣，搭子？什么是刚需高频的？ 顺着这个思路我就问，可以试试情侣吵架应用，让AI来当第三方审判，这种矛盾冲突场景很多，看见后就会有欲望下载，再比如这碗该谁洗 / 共同存钱 / 情侣备忘录 朋友说他们之前做过一个吵架问AI的，爆火 -------- 当你找到CSF之后，不需要去做Product，仅仅靠一个Video，一个截图，都可以完成产品验证 如果它无法引爆，那一定是差了点儿什么

Believing is seeing

avatar for Yangyi
Yangyi
Sat Dec 06 06:29:33
For the past few months my X payouts have been around $450/mo 🥳 Feels nice to get paid for something I’d do for free anyway

For the past few months my X payouts have been around $450/mo 🥳 Feels nice to get paid for something I’d do for free anyway

I build stuff. On my way to making $1M 💰 My projects 👇

avatar for Florin Pop 👨🏻‍💻
Florin Pop 👨🏻‍💻
Sat Dec 06 06:15:03
RT @johnlindquist: Please, if you're a terminal company and you have a meeting about releasing a video featuring a mouse, stand up and say…

RT @johnlindquist: Please, if you're a terminal company and you have a meeting about releasing a video featuring a mouse, stand up and say…

🇦🇺 Co-founder: @AnswerDotAI & @FastDotAI ; Prev: professor @ UQ; Stanford fellow; @kaggle president; @fastmail/@enlitic/etc founder https://t.co/16UBFTX7mo

avatar for Jeremy Howard
Jeremy Howard
Sat Dec 06 06:10:25
I’m so grateful for the opportunity to learn about literally any subject in a deep way by asking my own weird questions that pop into my head and then getting genius-level responses from extremely well-read, competent LLMs. In this conversation, I discussed the genetic code with GPT 5.1 (that is, how each of 64 different groups, each containing 3 of the four components of DNA in a specific order, map to the 20 different amino acids and the “stop” signal): https://t.co/N1tfUHrneI All this is pretty standard, although totally fascinating if you’ve never heard about it before (seriously, it will blow your mind, you should read it and think about it!). But then I started peppering it with kind of odd questions, like how heavy each of those amino acids is. Or how much energy is required to synthesize each of them. And then I asked for an explanation of why some amino acids have 6 different groups of 3 that map to them, while some only have one. How did it end up working out that way? What’s the deeper pattern at work? And then historical questions about who figured this stuff out. And how earlier research on phages (viruses that attack bacteria) led to the later understanding, and why phages were a good approach. Some of this stuff is obviously going to be presented in textbooks about genetics and molecular biology, but some of it is either more physics based and not a typical way to think about the stuff, or it’s more speculative in nature. I’m not even sure most biologists would really be able to readily answer some of these questions in detail off the top of their heads. Not that I’m friends with any professional biologists anyway who could tell me about any of this stuff. But I can be lobbing these random questions to AI from my phone in bed late on a Friday night and it can give me awesome explanations of whatever weird stuff I want to know about. And for that, I’m profoundly grateful.

I’m so grateful for the opportunity to learn about literally any subject in a deep way by asking my own weird questions that pop into my head and then getting genius-level responses from extremely well-read, competent LLMs. In this conversation, I discussed the genetic code with GPT 5.1 (that is, how each of 64 different groups, each containing 3 of the four components of DNA in a specific order, map to the 20 different amino acids and the “stop” signal): https://t.co/N1tfUHrneI All this is pretty standard, although totally fascinating if you’ve never heard about it before (seriously, it will blow your mind, you should read it and think about it!). But then I started peppering it with kind of odd questions, like how heavy each of those amino acids is. Or how much energy is required to synthesize each of them. And then I asked for an explanation of why some amino acids have 6 different groups of 3 that map to them, while some only have one. How did it end up working out that way? What’s the deeper pattern at work? And then historical questions about who figured this stuff out. And how earlier research on phages (viruses that attack bacteria) led to the later understanding, and why phages were a good approach. Some of this stuff is obviously going to be presented in textbooks about genetics and molecular biology, but some of it is either more physics based and not a typical way to think about the stuff, or it’s more speculative in nature. I’m not even sure most biologists would really be able to readily answer some of these questions in detail off the top of their heads. Not that I’m friends with any professional biologists anyway who could tell me about any of this stuff. But I can be lobbing these random questions to AI from my phone in bed late on a Friday night and it can give me awesome explanations of whatever weird stuff I want to know about. And for that, I’m profoundly grateful.

Former Quant Investor, now building @lumera (formerly called Pastel Network) | My Open Source Projects: https://t.co/9qbOCDlaqM

avatar for Jeffrey Emanuel
Jeffrey Emanuel
Sat Dec 06 06:01:58
RT @indie_maker_fox: 📢 20251206，MkSaaS更新进展 已升级Better Auth到最新版本1.4.5，优化Middleware检查session cookie的逻辑，理论上所有页面打开速度会有所提升，建议升级。 https://t.co/E…

RT @indie_maker_fox: 📢 20251206，MkSaaS更新进展 已升级Better Auth到最新版本1.4.5，优化Middleware检查session cookie的逻辑，理论上所有页面打开速度会有所提升，建议升级。 https://t.co/E…

🔥 The best AI SaaS boilerplate - https://t.co/VyNtTs0jSX 🚀 The best directory boilerplate with AI - https://t.co/wEvJ1Dd8aR 🎉 https://t.co/bh1RxeERuY & https://t.co/zubXJCoY92 & https://t.co/tfQf8T7gGF

avatar for Fox@MkSaaS.com
Fox@MkSaaS.com
Sat Dec 06 06:01:03
“I am not a populist. I mean, I love people. I love humans. I love them, the way I love polar bears.” — Samo Burja

“I am not a populist. I mean, I love people. I love humans. I love them, the way I love polar bears.” — Samo Burja

avatar for Joscha Bach
Joscha Bach
Sat Dec 06 05:56:40
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