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ICYMI: Amplitude AI Feedback launched recently and it's solving a problem every product team has: You're drowning in feedback but have no idea what to actually build next. ↳ Support tickets. ↳ App reviews. ↳ Survey responses. ↳ Sales calls. ↳ Reddit threads. It's all sitting there, screaming different... show more

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46,584 次观看 • 8 个月前 •via X (Twitter)

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CODEX SKILL THAT TURNS CUSTOMER FEEDBACK INTO A ROADMAP! Most feedback analysis stops at positive or negative. I made a Codex skill that turns support tickets, interviews, surveys, reviews, sales calls, and churn notes into evidence-backed product priorities and credible customer proof. Give it your feedback files and Codex maps recurring pains, ranks what to build next, and links every recommendation back to exact evidence IDs. It keeps four things separate: -what customers said -the underlying problem -what to validate or build next -what you can honestly claim -> feedback clustering with source traceability -> product opportunity scoring -> Now / Next / Later roadmap -> customer proof + case-study candidates -> objections, churn risks, and unsupported claims -> searchable Startup Customer Evidence Map -> privacy-first quote and consent handling -> one-command install What would you analyze first: support tickets, interviews, or churn notes? Install: npx --yes startup-feedback-engine@latest 100% open source. Repo in Bio.

CODEX SKILL THAT TURNS CUSTOMER FEEDBACK INTO A ROADMAP! Most feedback analysis stops at positive or negative. I made a Codex skill that turns support tickets, interviews, surveys, reviews, sales calls, and churn notes into evidence-backed product priorities and credible customer proof. Give it your feedback files and Codex maps recurring pains, ranks what to build next, and links every recommendation back to exact evidence IDs. It keeps four things separate: -what customers said -the underlying problem -what to validate or build next -what you can honestly claim -> feedback clustering with source traceability -> product opportunity scoring -> Now / Next / Later roadmap -> customer proof + case-study candidates -> objections, churn risks, and unsupported claims -> searchable Startup Customer Evidence Map -> privacy-first quote and consent handling -> one-command install What would you analyze first: support tickets, interviews, or churn notes? Install: npx --yes startup-feedback-engine@latest 100% open source. Repo in Bio.

Kappaemme

138,192 次观看 • 1 个月前

Don’t talk to users? ngmi Today’s launch of AI Feedback is personal. It’s the culmination of my Kraftful journey. We built Kraftful to help teams truly listen to users. Now we’re taking that mission even further at Amplitude with AI Feedback. AI can automate almost everything. But it can’t replace how people *feel* when using your product. For builders, listening to those emotions is how you create something exceptional. Now you can do that right inside Amplitude. Across surveys, support tickets, sales calls, app reviews, Reddit, Discord, X, G2, and more. Connect your sources in minutes and start getting daily insights that used to take hundreds of thousands of hours to analyze manually. Available on every Amplitude plan (even the free one!). Go try it. Listen to your users. Build better.

Don’t talk to users? ngmi Today’s launch of AI Feedback is personal. It’s the culmination of my Kraftful journey. We built Kraftful to help teams truly listen to users. Now we’re taking that mission even further at Amplitude with AI Feedback. AI can automate almost everything. But it can’t replace how people feel when using your product. For builders, listening to those emotions is how you create something exceptional. Now you can do that right inside Amplitude. Across surveys, support tickets, sales calls, app reviews, Reddit, Discord, X, G2, and more. Connect your sources in minutes and start getting daily insights that used to take hundreds of thousands of hours to analyze manually. Available on every Amplitude plan (even the free one!). Go try it. Listen to your users. Build better.

Yana Welinder

316,125 次观看 • 10 个月前

Listen to what Trump just said about the mystery drones: "I can't tell you who it was or what it was. I can't really tell you. I'd love to tell you actually, but it's not up–it's not a big deal... so obviously it's something that I know about and it's not a problem at all." He almost said "but it's not up to me". All roads lead to Galactic Federation.

Listen to what Trump just said about the mystery drones: "I can't tell you who it was or what it was. I can't really tell you. I'd love to tell you actually, but it's not up–it's not a big deal... so obviously it's something that I know about and it's not a problem at all." He almost said "but it's not up to me". All roads lead to Galactic Federation.

Kab

398,658 次观看 • 1 年前

Zach who built Cal AI and sold it for millions at 19 says: solving your own problem is the cheat code because product and marketing collapse into the same challenge: "If you're really solving your own problem, it really makes everything fall into place because you know exactly what you would want out of the product you're building. So it makes the app design very intuitive." "With the marketing, you know exactly who you're marketing to because it's marketing to yourself. And so you know exactly the pain points that you hit on." "If you don't know the idea to necessarily look for something that would actually help you. It's a great way to start."

Zach who built Cal AI and sold it for millions at 19 says: solving your own problem is the cheat code because product and marketing collapse into the same challenge: "If you're really solving your own problem, it really makes everything fall into place because you know exactly what you would want out of the product you're building. So it makes the app design very intuitive." "With the marketing, you know exactly who you're marketing to because it's marketing to yourself. And so you know exactly the pain points that you hit on." "If you don't know the idea to necessarily look for something that would actually help you. It's a great way to start."

Starter Story

18,629 次观看 • 14 天前

Ezra Klein: "Having AI summarize a book or paper for me is a disaster. It has no idea what I really wanted to know and wouldn't have made the connections I would've made. I'm interested in the thing I will see that other people wouldn't have seen, and I think AI typically sees what everybody else would see. I'm not saying that AI can't be useful, but I'm pretty against shortcuts. And obviously, you have to limit the amount of work you're doing. You can't read literally everything. But in some ways, I think it's more dangerous to think you've read something that you haven't than to not read it at all. I think the time you spend with things is pretty important." Ezra Klein

Ezra Klein: "Having AI summarize a book or paper for me is a disaster. It has no idea what I really wanted to know and wouldn't have made the connections I would've made. I'm interested in the thing I will see that other people wouldn't have seen, and I think AI typically sees what everybody else would see. I'm not saying that AI can't be useful, but I'm pretty against shortcuts. And obviously, you have to limit the amount of work you're doing. You can't read literally everything. But in some ways, I think it's more dangerous to think you've read something that you haven't than to not read it at all. I think the time you spend with things is pretty important." Ezra Klein

How I Write Clips

2,055,384 次观看 • 6 个月前

Replit serves 40M+ builders with just 2 PMs 🤯 Head of Product Eng Amol Jain shared how they pull it off: 1. Product-minded engineers Engineers think like owners and deeply get the “why,” so the team moves fast. 2. Tight feedback loops Their global builder community drops feedback everywhere: app reviews, Zendesk, X, Reddit, and the team actually listens. 3. AI Feedback Lets the team instantly parse all that noise and surface what truly matters. Pumped to partner with the Replit ⠕ team as they help anyone go from idea → app using natural language. Amjad Masad, Haya Odeh, and team are building the future 🔥

Replit serves 40M+ builders with just 2 PMs 🤯 Head of Product Eng Amol Jain shared how they pull it off: 1. Product-minded engineers Engineers think like owners and deeply get the “why,” so the team moves fast. 2. Tight feedback loops Their global builder community drops feedback everywhere: app reviews, Zendesk, X, Reddit, and the team actually listens. 3. AI Feedback Lets the team instantly parse all that noise and surface what truly matters. Pumped to partner with the Replit ⠕ team as they help anyone go from idea → app using natural language. Amjad Masad, Haya Odeh, and team are building the future 🔥

Yana Welinder

25,601 次观看 • 9 个月前

Here’s why Chamath takes 8090 sales calls HIMSELF: Salespeople don’t take what the customer says and immediately go change the product. But he can. Customer feedback doesn't get softened or lost in a CRM like it would with a salesperson. Instead, it goes straight into what 8090 builds next. Find out why founder-led sales is the fastest way for customer feedback to ACTUALLY change the product in this TWiST All Stars highlight. cc: Chamath Palihapitiya, @jason

Here’s why Chamath takes 8090 sales calls HIMSELF: Salespeople don’t take what the customer says and immediately go change the product. But he can. Customer feedback doesn't get softened or lost in a CRM like it would with a salesperson. Instead, it goes straight into what 8090 builds next. Find out why founder-led sales is the fastest way for customer feedback to ACTUALLY change the product in this TWiST All Stars highlight. cc: Chamath Palihapitiya, @jason

This Week in Startups

55,467 次观看 • 2 个月前

I started reading World Cup threads on Reddit for fun. Match reactions, ticket chaos, streaming complaints, travel questions and people yelling about things five minutes after kickoff. After thousands of comments, I realized I was still only seeing a tiny corner of it. So I let Matrix read the rest. It went through the tournament threads and pulled out the problems people kept raising again and again. That was the part that got me. It was not football noise. It was real user pain in real time. People saying what confused them. What annoyed them. What ruined the experience for them. What they wished someone had just made easier. No survey, no focus group, no polished feedback form. Just fans complaining in public, which might be the most useful market research on the internet. World Cup Reddit is basically a stadium full of product feedback. You think you are reading match threads. Look closer and people are already telling you what hurts, and half the time what somebody should go build next.

I started reading World Cup threads on Reddit for fun. Match reactions, ticket chaos, streaming complaints, travel questions and people yelling about things five minutes after kickoff. After thousands of comments, I realized I was still only seeing a tiny corner of it. So I let Matrix read the rest. It went through the tournament threads and pulled out the problems people kept raising again and again. That was the part that got me. It was not football noise. It was real user pain in real time. People saying what confused them. What annoyed them. What ruined the experience for them. What they wished someone had just made easier. No survey, no focus group, no polished feedback form. Just fans complaining in public, which might be the most useful market research on the internet. World Cup Reddit is basically a stadium full of product feedback. You think you are reading match threads. Look closer and people are already telling you what hurts, and half the time what somebody should go build next.

Iseunife The First

17,961 次观看 • 2 个月前

Sequoia partner Sonya Huang 🐥 says we're going from the age of product-led growth to the age of agent-led growth. "You see this most clearly if you're using Claude Code actively. It says, 'Hey, for a database, you should use Supabase. For hosting, use Vercel.' It's choosing for you, the stuff you should be using." "Product-led growth brought us closer to the vision of 'best product wins,' but ultimately people are still lazy. They can't read all the reviews, and they kind of default to what looks cool on the website." "Whereas your agent has infinite time to go and make these choices for you. It can go and read all the documentation, read all the user comments, and figure out [what you need] for your use case."

Sequoia partner Sonya Huang 🐥 says we're going from the age of product-led growth to the age of agent-led growth. "You see this most clearly if you're using Claude Code actively. It says, 'Hey, for a database, you should use Supabase. For hosting, use Vercel.' It's choosing for you, the stuff you should be using." "Product-led growth brought us closer to the vision of 'best product wins,' but ultimately people are still lazy. They can't read all the reviews, and they kind of default to what looks cool on the website." "Whereas your agent has infinite time to go and make these choices for you. It can go and read all the documentation, read all the user comments, and figure out [what you need] for your use case."

TBPN

1,195,917 次观看 • 7 个月前

I woke up this morning to find the Glacier app sitting at #10 in the Productivity section of the App Store. In just under a week, we’re right behind ChatGPT. I can’t thank you all enough. The support tickets and feedback you’ve sent have given our developers a clear picture of what to fix, and it’s made a real difference. Please keep it coming, because that feedback is what makes Glacier better. I also saw a lot of comments asking about access in the EU. Yes, Glacier is available there. And for everyone asking about Android, it’s in the works. I don’t normally ask for favors, but if you have a minute, we’d greatly appreciate a review on the App Store. Thank you for the support. Glacier

I woke up this morning to find the Glacier app sitting at #10 in the Productivity section of the App Store. In just under a week, we’re right behind ChatGPT. I can’t thank you all enough. The support tickets and feedback you’ve sent have given our developers a clear picture of what to fix, and it’s made a real difference. Please keep it coming, because that feedback is what makes Glacier better. I also saw a lot of comments asking about access in the EU. Yes, Glacier is available there. And for everyone asking about Android, it’s in the works. I don’t normally ask for favors, but if you have a minute, we’d greatly appreciate a review on the App Store. Thank you for the support. Glacier

Shawn Ryan

327,536 次观看 • 1 个月前

If you want ChatGPT to recommend your business, you need to be on the websites it trusts. My team ranked all of them and #1 is a site most marketers ignore. #5 G2. AI treats verified reviews as proof you're actually good. No reviews, no recommendation. #4 LinkedIn. Your posts there carry more weight with AI than your own website does. #3 Wikipedia. Neutral and boring which is exactly why AI believes it. Now the top two and neither one is a publication. #2 YouTube. AI reads every transcript. Every video you post is a document telling it what you're an expert in. And #1... Reddit. An anonymous forum beats every brand website on earth. Because AI doesn't trust what companies say about themselves, it trusts what strangers say when nobody's selling. Comment "CITED" for my AI visibility playbook.

Neil Patel

19,793 次观看 • 18 天前

OpenAI took the best Coding model in the world GPT-5.3 Codex And turned it into a powerful coding app It's called Codex, but most people have no idea what you can build with it.

OpenAI took the best Coding model in the world GPT-5.3 Codex And turned it into a powerful coding app It's called Codex, but most people have no idea what you can build with it.

David Ondrej

24,923 次观看 • 6 个月前

Alex Hormozi argues the sales process must outrank the salesperson. "If you want to have a consistent worldclass sales team the process has to always go above the player. No one is above the process. And I do think that 95, maybe 98% of sales teams have no idea how sales training, how sales culture, any of this stuff works. They just hire a bunch of people, see who closes deals, fire the rest. And so then you just have a bunch of mercenaries who work for you. But there is no culture. There is no team. And it's every man for himself. And that is what creates this volatility in sales." "If they are not saying the script word for word, you cannot be on this team. You cannot take these calls. I'm getting these leads and not for you to go cowboy and make up."

Alex Hormozi argues the sales process must outrank the salesperson. "If you want to have a consistent worldclass sales team the process has to always go above the player. No one is above the process. And I do think that 95, maybe 98% of sales teams have no idea how sales training, how sales culture, any of this stuff works. They just hire a bunch of people, see who closes deals, fire the rest. And so then you just have a bunch of mercenaries who work for you. But there is no culture. There is no team. And it's every man for himself. And that is what creates this volatility in sales." "If they are not saying the script word for word, you cannot be on this team. You cannot take these calls. I'm getting these leads and not for you to go cowboy and make up."

Acquisition.com

51,366 次观看 • 3 个月前

Qullamaggie on Discipline vs. Confidence in Trading "It's not a discipline problem; it's a confidence problem, guys. Discipline is the most overused word in trading. It's never a discipline problem; it's a confidence problem because you haven't put in enough effort to build your confidence. If you study enough, you will build confidence. How many of you have spent 500 hours studying one specific setup, like thousands of historical examples? Be honest; there's maybe I don't know 5% of you. The rest of you haven't put in any effort to build confidence, and that's why these things happen. You have no confidence holding for a big move. You get shaken out on one downtick. You have no confidence because you haven't built it. Most people do all they do is put on some random trades because they haven't internalized the setups yet, and that’s why they all do these random things. They promise to use the 10-day moving average as a trailing stop, then one downtick happens and they're out. We see it daily; people who are struggling to follow the rules. It happens to me too, but it happens less. You got to do both; you got to study hard. You got to out study most people, and you got to combine it with experience.”

Qullamaggie on Discipline vs. Confidence in Trading "It's not a discipline problem; it's a confidence problem, guys. Discipline is the most overused word in trading. It's never a discipline problem; it's a confidence problem because you haven't put in enough effort to build your confidence. If you study enough, you will build confidence. How many of you have spent 500 hours studying one specific setup, like thousands of historical examples? Be honest; there's maybe I don't know 5% of you. The rest of you haven't put in any effort to build confidence, and that's why these things happen. You have no confidence holding for a big move. You get shaken out on one downtick. You have no confidence because you haven't built it. Most people do all they do is put on some random trades because they haven't internalized the setups yet, and that’s why they all do these random things. They promise to use the 10-day moving average as a trailing stop, then one downtick happens and they're out. We see it daily; people who are struggling to follow the rules. It happens to me too, but it happens less. You got to do both; you got to study hard. You got to out study most people, and you got to combine it with experience.”

Lone

20,681 次观看 • 1 年前

Today we're introducing Wave. A proactive product agent that helps teams build self-improving products. Every product team runs the same loop. Build, ship, use, learn. AI has made building and shipping extraordinarily fast. Understanding usage and learning still happen by hand. Wave runs the whole loop: - Analyzes your Amplitude data for signals across analytics, feedback, session replays, error logs, agent traces, and experiment results - Surfaces opportunities in the form of full product specs that you or your agents can approve and ship - Tracks the experiments and outcomes of what you've built so you can start the loop over again Your product learns what works and gets smarter every cycle:

Today we're introducing Wave. A proactive product agent that helps teams build self-improving products. Every product team runs the same loop. Build, ship, use, learn. AI has made building and shipping extraordinarily fast. Understanding usage and learning still happen by hand. Wave runs the whole loop: - Analyzes your Amplitude data for signals across analytics, feedback, session replays, error logs, agent traces, and experiment results - Surfaces opportunities in the form of full product specs that you or your agents can approve and ship - Tracks the experiments and outcomes of what you've built so you can start the loop over again Your product learns what works and gets smarter every cycle:

Spenser Skates

116,878 次观看 • 3 个月前

Michael Seibel, Managing Director at Y Combinator, on why shipping a crappy product in under a month beats building a perfect one for a year: Michael starts with a simple challenge: "Do you remember the day Snapchat launched? Do you remember the day Instagram launched? Do you remember the day that WhatsApp launched? Remember the day that Uber or Lyft launched? Most likely you don't." His point cuts against how most founders think about launch day: "It turns out that launching is nowhere near as significant event to your users as it is to you. So, you should move up the launch as soon as possible." The reason comes down to validation. "Until you can get your product in front of customers, you can't validate whether it solves their problem. And so, it's much better to build a crappier product, release it sooner, and get it out there in front of customers, see if they want to use it." Michael Seibel acknowledges the approach isn't universal: "There's some exceptions. In some extremely regulated markets like banking, for example, or lending, it's just really hard to launch. You actually have to get one s*** done before you're even allowed to get customers." But for most founders, the bar is far lower than they think: "In most consumer and B2B startups that we encounter, it's actually possible to get some form of MVP built and launched in less than a month. And so, that's what you should be thinking about."

Michael Seibel, Managing Director at Y Combinator, on why shipping a crappy product in under a month beats building a perfect one for a year: Michael starts with a simple challenge: "Do you remember the day Snapchat launched? Do you remember the day Instagram launched? Do you remember the day that WhatsApp launched? Remember the day that Uber or Lyft launched? Most likely you don't." His point cuts against how most founders think about launch day: "It turns out that launching is nowhere near as significant event to your users as it is to you. So, you should move up the launch as soon as possible." The reason comes down to validation. "Until you can get your product in front of customers, you can't validate whether it solves their problem. And so, it's much better to build a crappier product, release it sooner, and get it out there in front of customers, see if they want to use it." Michael Seibel acknowledges the approach isn't universal: "There's some exceptions. In some extremely regulated markets like banking, for example, or lending, it's just really hard to launch. You actually have to get one s*** done before you're even allowed to get customers." But for most founders, the bar is far lower than they think: "In most consumer and B2B startups that we encounter, it's actually possible to get some form of MVP built and launched in less than a month. And so, that's what you should be thinking about."

Big Brain Business

75,019 次观看 • 4 个月前

What you're looking at started as something that most people drive past without a second thought. - Industrial - boring - overlooked And someone looked at it and saw something no one else was seeing. That's the whole game here. You don't have to invent something brand new to make serious money. You just have to see potential where everyone else sees limitations. You have to look at what already exists and imagine it just a little differently. So when you turn something familiar into something unexpected, it becomes shareable and memorable. It becomes the thing that people can't stop talking about because it's different in a world where everything feels the same. People will literally travel hours just to stay somewhere like this because different is the experience now. Nobody cares about another cookie cutter hotel room that they've seen a thousand times, but this gets filmed and posted and sent to friends with the caption "you have to see this place" And suddenly you're booked out months in advance because you gave something people can't get anywhere else. I love that the raw materials here aren't special, it's just space that was sitting there unused and cheap to acquire The success of this is found in the willingness to look at what everyone else ignored and ask "what could this become?" Instead of just accepting what currently is. That's where the opportunity is. There are thousands of: - shipping containers rotting in fields - old grain silos sitting empty - warehouses no one's using - barns that haven't been touched in decades And every single one of them could become something people would pay to experience if someone just had the vision to see it through. You don't need to build it from scratch. You just need to reimagine what's already sitting in front of you. Because the world is full of overlooked things waiting for someone to look at them differently. And I don't care if AI generated the video because the inspiration you get from it is still the same.

Chris Koerner

18,278 次观看 • 6 个月前

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:

Spenser Skates

32,332 次观看 • 10 个月前

this is what he said after the comment section are full of "kai solo" and "kaion" and god knows what other things bcs lots are written in languages i dont understand but he addressed this: "alright, everyone. each of you has a lot of things you want, right? you all have your own thoughts/opinions. what everyone want is all different, right? you're waiting, aren't you? everything you want... will all come true. all of it. just enjoy it." he's well aware that fans want/expect different things from him. so whenever it will be, i'll be there for my soloist kai.

this is what he said after the comment section are full of "kai solo" and "kaion" and god knows what other things bcs lots are written in languages i dont understand but he addressed this: "alright, everyone. each of you has a lot of things you want, right? you all have your own thoughts/opinions. what everyone want is all different, right? you're waiting, aren't you? everything you want... will all come true. all of it. just enjoy it." he's well aware that fans want/expect different things from him. so whenever it will be, i'll be there for my soloist kai.

der

79,540 次观看 • 1 个月前

Arteta: “To be fair, it's a bit different when you finish second and when you win it with your phone, and that's a sport and it's a big lesson in life as well because the margins are so small and it can go either way. “When you just accomplish it, you realise, yeah, how immense it is, how big it is for so many people. I mean, just to witness the happiness and the enjoyment, all the things that I've seen from all of our supporters, families in different countries, it's just so good.”

Arteta: “To be fair, it's a bit different when you finish second and when you win it with your phone, and that's a sport and it's a big lesson in life as well because the margins are so small and it can go either way. “When you just accomplish it, you realise, yeah, how immense it is, how big it is for so many people. I mean, just to witness the happiness and the enjoyment, all the things that I've seen from all of our supporters, families in different countries, it's just so good.”

Connor Humm

39,215 次观看 • 3 个月前