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Kraftful Inbox dropped on Launch Y Combinator🧡 Gathering user feedback used to be chaos. Now it’s automatic. Support tix, sales calls, surveys, reviews, Slack, Discord, Reddit → instant Jira tickets Loved by 50K+ teams. Check out why 👇

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Yana Welinder

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11,804 Aufrufe • vor 1 Jahr •via X (Twitter)

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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.
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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.

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🎧 Inside Google's AI turnaround with Robby Stein Robby is VP of Product at Google where he oversees all things Google Search—including the new AI Overviews, AI Mode, search ranking, Google Lens, and more. Previously, he led consumer products at Instagram, where he and his teams built Stories, Reels, Close Friends, and other products now used by billions. We discuss: 🔸 Why Google’s AI products are suddenly taking off after years of stagnation 🔸 How AI is expanding Search rather than replacing it, contrary to what many predicted 🔸 The three product principles that have helped Robby build multiple billion-user products 🔸 Inside Instagram’s decision to build its own version of Snapchat Stories 🔸 His mantra of “relentless improvement” 🔸 How Google developed AI Mode from concept to launch in just one year 🔸 Why most teams give up too early on potentially transformative products Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Atlassian Jira Product Discovery — Confidence to build the right thing: 🏆 Orkes — The enterprise platform for reliable applications and agentic workflows:
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🎧 Inside Google's AI turnaround with Robby Stein Robby is VP of Product at Google where he oversees all things Google Search—including the new AI Overviews, AI Mode, search ranking, Google Lens, and more. Previously, he led consumer products at Instagram, where he and his teams built Stories, Reels, Close Friends, and other products now used by billions. We discuss: 🔸 Why Google’s AI products are suddenly taking off after years of stagnation 🔸 How AI is expanding Search rather than replacing it, contrary to what many predicted 🔸 The three product principles that have helped Robby build multiple billion-user products 🔸 Inside Instagram’s decision to build its own version of Snapchat Stories 🔸 His mantra of “relentless improvement” 🔸 How Google developed AI Mode from concept to launch in just one year 🔸 Why most teams give up too early on potentially transformative products Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Atlassian Jira Product Discovery — Confidence to build the right thing: 🏆 Orkes — The enterprise platform for reliable applications and agentic workflows:

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Here we go again 🚀! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. ⁉️ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilio’s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted allies—always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon 🔜.
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After 1000+ days of dev, my first solo-developed indie game Spirit X Strike has officially launched in Early Access today!! 🙌🔥 Huge thanks to everyone who’s supported me along the way. 👇 It’s an EA launch, so I poured most of my energy into polishing the core combat — the soul of any character action game. I just want it to feel like “yea... this hits the right spot.” I don’t dare compare myself to the giants, just hoping it’s fun and reminds you why we love this genre in the first place. That alone would be a dream come true for me. From quitting my job on a whim and going full-time indie, to dropping the first trailer 2 yrs ago and getting those early bits of support — this journey’s been wild. And way less lonely thanks to you all There’s still a long road ahead to reach my vision— more features, more polish, more fights. The game just launched and this is just the start. There will inevitably be bugs and I’ll be shipping frequent updates to keep things solid, before diving into the next round of content development. So be sure to join our Discord and let me know if you hit any bugs or have feedback! I'll handle it as quickly as possible! Thanks again for being part of the journey. Say no more! Now go style on some enemies. 💥 #SpiritXStrike #indiegame #indiedev #IndieGameDev #EarlyAccess #actiongame #Steam
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After 1000+ days of dev, my first solo-developed indie game Spirit X Strike has officially launched in Early Access today!! 🙌🔥 Huge thanks to everyone who’s supported me along the way. 👇 It’s an EA launch, so I poured most of my energy into polishing the core combat — the soul of any character action game. I just want it to feel like “yea... this hits the right spot.” I don’t dare compare myself to the giants, just hoping it’s fun and reminds you why we love this genre in the first place. That alone would be a dream come true for me. From quitting my job on a whim and going full-time indie, to dropping the first trailer 2 yrs ago and getting those early bits of support — this journey’s been wild. And way less lonely thanks to you all There’s still a long road ahead to reach my vision— more features, more polish, more fights. The game just launched and this is just the start. There will inevitably be bugs and I’ll be shipping frequent updates to keep things solid, before diving into the next round of content development. So be sure to join our Discord and let me know if you hit any bugs or have feedback! I'll handle it as quickly as possible! Thanks again for being part of the journey. Say no more! Now go style on some enemies. 💥 #SpiritXStrike #indiegame #indiedev #IndieGameDev #EarlyAccess #actiongame #Steam

Spirit X Strike - Early Access OUT NOW!

32,045 Aufrufe • vor 1 Jahr

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Today we’re launching Vybe to the world and announcing our $10M Seed round to make vibe-coding actually work inside companies. This is why, how and our vision: Over the last few decades, every fast-growing company has quietly built the same mess behind the scenes: internal ops glued together with rigid SaaS, fragile spreadsheets or custom-coded tools nobody wants to maintain. Meanwhile, eng teams are stretched thin. Internal tools never make it to the top of the backlog. Vibe-coding is changing the game but it’s mostly been good for prototypes, landing pages, and side projects disconnected to production data. Our belief is simple: in the next few years, most internal software will be vibe-coded by teams working with AI, engineers and business teams together. Vybe is built for that collaboration: 1/ Business teams own the surface area: Business teams (Ops, CX, PMs etc.) can build and iterate on apps themselves: flows, UI, fields, and logic; without waiting weeks for eng to pick up another “internal tools” ticket. 2/ Engineers own the foundation: Integrate production data (Postgres, Salesforce, Jira, and 3,000 integrations), define SQL definitions once, set up SSO auth, access control, and keep everything in Git to help when needed (from their favorite IDE!) 3/ Secure by design: Our security and permissioning layer is not vibe-coded and can’t be modified by AI. Everyone can sleep at night. 4/ Team-ready out of the box: SSO, Auth, environments, deployments, and review flows are built in. Over the last few months, we’ve been in closed waitlist mode and have hand-onboarded teams to pressure-test Vybe on real production workflows: - A YC Founder runs his entire CS operation on Vybe and saves ~2 days per week. - Another company ingested millions of rows from their warehouse to build BI-like internal views that would break typical AI builders. - One team fully replaced Metabase/Looker by plugging Redshift into Vybe and just… prompting their way to MAU, DAU, funnels… Remix apps from world-class operators To make it even easier to get started, we’re launching templates co-created with operators who’ve already solved these problems at scale: - Mathilde Collin (CEO @ Front) – how she runs 1:1s - Lenny Rachitsky (yeah, that Lenny!) - how to manage up, do perf reviews and write PRDs - Sushma Nallapeta (CTO @ 23andMe) - her 7Cs Framework for Build vs. Buy Decisions - and many more from the best Tech leaders Backed by people who’ve lived this pain We’ve raised $10M in Seed funding, led by First Round with participation from Y Combinator and an incredible group of operators and founders, including: The CEO Datadog, CEO Grammarly, CEO Reforge, CTO Intercom, Head of Product at OpenAI, Head of Product Anthropic, and 50 more incredible operators who believed in our vision! Huge thank you to our early customers, team, and investors for believing in us this early. 🙏 We’re now in GA: no more waitlist!

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The Cult is summoning your voice 🔊 It’s time for the most dedicated members to band together and earn IQ Points by propagating the sacred vision 👁️ We’ve recently dropped powerful new blog articles filled with sharp technical insights, showcasing how Hub is redefining the AI and data landscape. Now, your mission is simple: spread the word and help grow the movement. Here is the new pathway to earning valuable IQ Points: 1️⃣ Create bite-sized social content that simplify & unpack Hub’s articles 2️⃣ Share the content on 𝕏 & engage with other participants 3️⃣ Be rewarded in IQ Points like never before What we’re looking for: Simplify complex ideas, debunk misconceptions, underline the most valuable points and take over the timeline during summer 🏆 🎭 Bonus: Apply to join the private Hub Nexus community on 𝕏 and benefit from the Network’s full support. Learn more about the campaign guidelines and access all the content you need to create the best posts by visiting the page below: 🔗 You can also get feedback from the team and other members in the Hub Discord. This is the final step of the journey before the launch of our magnum opus: The Programmable Bandwidth Supernetwork⚡️ Those who paid attention now will lead the movement, the rest will follow. PS: Winners will join the Programmable Bandwidth Supernetwork BETA and unlock exclusive perks

Hub

122,522 Aufrufe • vor 1 Jahr

We’re excited to announce AI SDR-Kit, a comprehensive suite of app integrations and starter templates to build highly customizable AI sales agents. As a developer, I only realized how tough it can be to crack sales after founding my startup. It’s a lot of grunt work, prospecting, qualifying, outreaching and whatnot. And the complexity only goes up as you grow. But it doesn’t have to. AI agents can effectively optimize many of these routine tasks; for instance, they can find leads from Apollo, enrich their data using People Data Labs, manage them in Salesforce, send targeted emails via SendGrid, and schedule meetings in Calendly without any manual involvement. But the biggest challenge is building these app integrations for agents. A single Salesforce integration may take 100s of engineering hours, let alone other integrations across CRMs, email platforms, and data enrichment tools. Considering this, we Composio built AI SDR-Kit to enable developers to build full-fledged sales automation agents. You will get • Over 60 app integrations optimized for SDR/BDR agents. • Seamless handling of complex auth flows (OAuth, API Key, Basic). • Compatibility with 15+ Agentic Frameworks, including LangChain, LlamaIndex 🦙, CrewAI, Letta etc. • Self-hosting option for greater control. • Enterprise-ready with SOC 2 Type 2 compliance, SSO, and RBAC support. Here's a brief list of popular integrations by category that you get with SDR-Kit: • CRM: Salesforce, HubSpot, Attio, and more. • Contact Data: Apollo, ZoomInfo, People Data Labs, etc. • Email deliverability: Gmail, Outlook, Mailchimp, SendGrid, Klaviyo. • Comms & Collabs: Slack, Discord, Intercom & Zoom. • Social Media: LinkedIn, Facebook, Twitter & Reddit. • Meeting: Google Calendar, Calendly, Cal dot com, etc. • … and many more. All the integrations have been improved, keeping agents' real-world readiness in mind. We’ve also made it straightforward to connect these apps with your agents in a few lines of code. Making it easy to create AI sales agents. This is ideal for developers and companies building automated sales solutions - whether for internal SalesOps or AI SDR services. Checkout AI SDR-Kit now👇
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We’re excited to announce AI SDR-Kit, a comprehensive suite of app integrations and starter templates to build highly customizable AI sales agents. As a developer, I only realized how tough it can be to crack sales after founding my startup. It’s a lot of grunt work, prospecting, qualifying, outreaching and whatnot. And the complexity only goes up as you grow. But it doesn’t have to. AI agents can effectively optimize many of these routine tasks; for instance, they can find leads from Apollo, enrich their data using People Data Labs, manage them in Salesforce, send targeted emails via SendGrid, and schedule meetings in Calendly without any manual involvement. But the biggest challenge is building these app integrations for agents. A single Salesforce integration may take 100s of engineering hours, let alone other integrations across CRMs, email platforms, and data enrichment tools. Considering this, we Composio built AI SDR-Kit to enable developers to build full-fledged sales automation agents. You will get • Over 60 app integrations optimized for SDR/BDR agents. • Seamless handling of complex auth flows (OAuth, API Key, Basic). • Compatibility with 15+ Agentic Frameworks, including LangChain, LlamaIndex 🦙, CrewAI, Letta etc. • Self-hosting option for greater control. • Enterprise-ready with SOC 2 Type 2 compliance, SSO, and RBAC support. Here's a brief list of popular integrations by category that you get with SDR-Kit: • CRM: Salesforce, HubSpot, Attio, and more. • Contact Data: Apollo, ZoomInfo, People Data Labs, etc. • Email deliverability: Gmail, Outlook, Mailchimp, SendGrid, Klaviyo. • Comms & Collabs: Slack, Discord, Intercom & Zoom. • Social Media: LinkedIn, Facebook, Twitter & Reddit. • Meeting: Google Calendar, Calendly, Cal dot com, etc. • … and many more. All the integrations have been improved, keeping agents' real-world readiness in mind. We’ve also made it straightforward to connect these apps with your agents in a few lines of code. Making it easy to create AI sales agents. This is ideal for developers and companies building automated sales solutions - whether for internal SalesOps or AI SDR services. Checkout AI SDR-Kit now👇

Karan Vaidya

54,217 Aufrufe • vor 1 Jahr

The moral obligation of great design: A call to arms by @ThisIsBobBaxley Bob has designed products used by billions of people over his 35-year career at Apple, Pinterest, Yahoo, and ThoughtSpot. During his eight years at Apple, he led design for the online store and the App Store, and witnessed the iPhone’s transformative launch while working under Steve Jobs. Bob champions the obligation designers have to reduce frustration in people’s daily lives. "I don't think many people working in the industry understand the scale of what they're doing. Software, both for the audience and for the creators, is an anonymous medium. The products we're building are just these crazy, faceless things created by a bunch of people, you know, who knows where. We never see anybody on the other side of the glass. It's very hard to really understand that we're creating something in Figma on their computer that's going to be interacted with by billions of people, thousands and thousands of times. People don't want to try to figure out how to navigate our login screens or go through our onboarding process. They just wanna get home and spend time with their families and pet their dogs and have a nice dinner." Bob also has some other spicy takes: 🔸 Why design should report to engineering, not product 🔸 The “Beatles principle”—why the best products come from teams of 4 to 6, not 40 to 60 🔸 Why you need design tenets, not principles (with real examples) 🔸 Why you should delay sketching and prototyping as long as possible 🔸 Why software is fundamentally a medium, like film or music 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: 🏆 This entire episode is brought to you by Stripe—helping companies of all sizes grow revenue:
0:58

The moral obligation of great design: A call to arms by @ThisIsBobBaxley Bob has designed products used by billions of people over his 35-year career at Apple, Pinterest, Yahoo, and ThoughtSpot. During his eight years at Apple, he led design for the online store and the App Store, and witnessed the iPhone’s transformative launch while working under Steve Jobs. Bob champions the obligation designers have to reduce frustration in people’s daily lives. "I don't think many people working in the industry understand the scale of what they're doing. Software, both for the audience and for the creators, is an anonymous medium. The products we're building are just these crazy, faceless things created by a bunch of people, you know, who knows where. We never see anybody on the other side of the glass. It's very hard to really understand that we're creating something in Figma on their computer that's going to be interacted with by billions of people, thousands and thousands of times. People don't want to try to figure out how to navigate our login screens or go through our onboarding process. They just wanna get home and spend time with their families and pet their dogs and have a nice dinner." Bob also has some other spicy takes: 🔸 Why design should report to engineering, not product 🔸 The “Beatles principle”—why the best products come from teams of 4 to 6, not 40 to 60 🔸 Why you need design tenets, not principles (with real examples) 🔸 Why you should delay sketching and prototyping as long as possible 🔸 Why software is fundamentally a medium, like film or music 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: 🏆 This entire episode is brought to you by Stripe—helping companies of all sizes grow revenue:

Lenny Rachitsky

83,728 Aufrufe • vor 1 Jahr

I’m giving away $15,050 today to my top supporters from the Avantis and Boundless drops! Why am I doing this? Easy: I wouldn’t be here without your support these last 2 months. I started this infofi journey on 06/25/2025, and I’m proud of what we’ve built together. Time to give back. If you liked, commented, or reposted my content about them, you might be eligible to get between $50 and $1,000. Check the leaderboards 👇 👉 100 winners for Avantis: 👉 15 winners for Boundless: 💡 If you’re on the list, reply in the comments with: ▫ Wallet ▫ Your ranking position + which drop (Avantis and/or Boundless) ⚡ Payments go out today in USDC on Base. Send an EVM-compatible address (Rabby, Metamask, etc.) or an exchange wallet that supports Base. ━━━━━━━━━ Making these sheets was CRAZY, almost all manual, post by post, to keep it fair. From now on, you can engage directly on my Discord in the post-twitter channel (see the video below for a step-by-step guide). This way I can build leaderboards faster and reward the community every drop. 👉 Join my Discord: Leaderboards reset monthly, so there are always fresh chances. ━━━━━━━━━ Looking ahead: for every drop I get here on X (Wallchain, Kaito, or any other), 30% always goes back to the community: • 10% for top engagers • 20% for top engagers who are also part of my private community (currently limited to Brazilians, but we may expand to English speakers in the future if it makes sense, and if I can deliver real value and support, not just rewards). Thanks a lot for the support, I’m hyped to share this with you all. God bless!
5:16

I’m giving away $15,050 today to my top supporters from the Avantis and Boundless drops! Why am I doing this? Easy: I wouldn’t be here without your support these last 2 months. I started this infofi journey on 06/25/2025, and I’m proud of what we’ve built together. Time to give back. If you liked, commented, or reposted my content about them, you might be eligible to get between $50 and $1,000. Check the leaderboards 👇 👉 100 winners for Avantis: 👉 15 winners for Boundless: 💡 If you’re on the list, reply in the comments with: ▫ Wallet ▫ Your ranking position + which drop (Avantis and/or Boundless) ⚡ Payments go out today in USDC on Base. Send an EVM-compatible address (Rabby, Metamask, etc.) or an exchange wallet that supports Base. ━━━━━━━━━ Making these sheets was CRAZY, almost all manual, post by post, to keep it fair. From now on, you can engage directly on my Discord in the post-twitter channel (see the video below for a step-by-step guide). This way I can build leaderboards faster and reward the community every drop. 👉 Join my Discord: Leaderboards reset monthly, so there are always fresh chances. ━━━━━━━━━ Looking ahead: for every drop I get here on X (Wallchain, Kaito, or any other), 30% always goes back to the community: • 10% for top engagers • 20% for top engagers who are also part of my private community (currently limited to Brazilians, but we may expand to English speakers in the future if it makes sense, and if I can deliver real value and support, not just rewards). Thanks a lot for the support, I’m hyped to share this with you all. God bless!

Rodrigo Moura Crypto

17,498 Aufrufe • vor 10 Monaten

The Agentic Literature Review is Now a Reality. 🚀 I watched a student from King’s College London dismantle a task that used to take weeks. His mission? Deconstruct 47 complex academic papers for his dissertation. The old way: ❌ Endless skimming & highlighting ❌ Messy, unsearchable notes ❌ Citation chaos across 5 different tools The new way? He used a single platform and finished the core analysis in an afternoon. This isn't just another "AI summarizer." ResearchCollab is an AI co-pilot for research. I tested it against the standard "academic grind." The difference was staggering: 🔴 Traditional Workflow: Scattered PDFs, chaotic notes, mental burnout. 🟢 ResearchCollab Workflow: • AI instantly surfaces key insights from 250M+ papers without manual prompting. • Auto-organizes and relates everything personalized to the user. • Generates perfect citations (APA, MLA) in one click. • Brainstorms new research directions you might have missed. 👇 See how it works (No Credit Card Needed): Start your free trial → Why this is a silent revolution for knowledge workers: 1️⃣ Students are cutting literature review time by up to 80%. 2️⃣ Research teams are collaborating in real-time, killing version control nightmares. 3️⃣ The "blank page syndrome" is solved. AI helps you generate outlines and spark unique ideas instantly. The most compelling part? It’s not just about speed. It’s about clarity. ✔️ Finds connections between papers you'd never see. ✔️ Keeps your entire research universe in one searchable place. ✔️ Works 24/7 for less than the cost of your monthly coffee budget. This is the "Copilot" moment for academia and R&D. The barrier to high-quality, organized research has just collapsed. 👉 Support ResearchCollab Product Hunt launch : PS: I've compiled a short guide on "The 5-Day Research Sprint" methodology that this enables. Like 👍 and Comment "Research" and I'll DM you the link.
0:59

The Agentic Literature Review is Now a Reality. 🚀 I watched a student from King’s College London dismantle a task that used to take weeks. His mission? Deconstruct 47 complex academic papers for his dissertation. The old way: ❌ Endless skimming & highlighting ❌ Messy, unsearchable notes ❌ Citation chaos across 5 different tools The new way? He used a single platform and finished the core analysis in an afternoon. This isn't just another "AI summarizer." ResearchCollab is an AI co-pilot for research. I tested it against the standard "academic grind." The difference was staggering: 🔴 Traditional Workflow: Scattered PDFs, chaotic notes, mental burnout. 🟢 ResearchCollab Workflow: • AI instantly surfaces key insights from 250M+ papers without manual prompting. • Auto-organizes and relates everything personalized to the user. • Generates perfect citations (APA, MLA) in one click. • Brainstorms new research directions you might have missed. 👇 See how it works (No Credit Card Needed): Start your free trial → Why this is a silent revolution for knowledge workers: 1️⃣ Students are cutting literature review time by up to 80%. 2️⃣ Research teams are collaborating in real-time, killing version control nightmares. 3️⃣ The "blank page syndrome" is solved. AI helps you generate outlines and spark unique ideas instantly. The most compelling part? It’s not just about speed. It’s about clarity. ✔️ Finds connections between papers you'd never see. ✔️ Keeps your entire research universe in one searchable place. ✔️ Works 24/7 for less than the cost of your monthly coffee budget. This is the "Copilot" moment for academia and R&D. The barrier to high-quality, organized research has just collapsed. 👉 Support ResearchCollab Product Hunt launch : PS: I've compiled a short guide on "The 5-Day Research Sprint" methodology that this enables. Like 👍 and Comment "Research" and I'll DM you the link.

Anuj

10,780 Aufrufe • vor 8 Monaten

Brian Armstrong shares the Y Combinator advice that helped Coinbase find product/market fit “The first version of a product you put out doesn’t work. In fact, that’s the only thing I’ve ever seen happen in startups. I’ve never seen a startup where the first version of their product actually worked. Sometimes in hindsight people like to tell that story, but I think in reality it’s very rare.” The first version of Coinbase was a hosted Bitcoin wallet. Brian posted it to Reddit and a few people signed up but nobody stuck around. Rather than get discouraged though, he recalled the advice he got at Y Combinator: “Don’t spend your time going to conferences and trying to raise money. If you don’t have product/market fit yet, talk to your customers and improve the product based on their feedback… There’s really only two things you should be doing in the early stage - talking to your customers and improving the product. It sounds like simple advice, but people spend so much time doing other stuff that’s not actually real work.” Following that advice, Brian emailed 10 of the people who had signed up for Coinbase and asked if they’d be open to a quick phone call. One of the users liked the wallet but didn’t have any Bitcoin. Brian asked him: “If there was an easy way to get Bitcoin into your wallet - like a buy button or something - would you have stuck around and used it?” “Yeah, probably” replied the user. So Brian spent the next few months securing bank partnerships and money transmission licenses so he could build a simple buy button into the app. Then he launched it. “The minute we launched that buy button, it started to grow every day organically with no marketing or anything. And that was the minute I felt like we finally had product/market fit.” Video Source: Steven Bartlett
1:32

Brian Armstrong shares the Y Combinator advice that helped Coinbase find product/market fit “The first version of a product you put out doesn’t work. In fact, that’s the only thing I’ve ever seen happen in startups. I’ve never seen a startup where the first version of their product actually worked. Sometimes in hindsight people like to tell that story, but I think in reality it’s very rare.” The first version of Coinbase was a hosted Bitcoin wallet. Brian posted it to Reddit and a few people signed up but nobody stuck around. Rather than get discouraged though, he recalled the advice he got at Y Combinator: “Don’t spend your time going to conferences and trying to raise money. If you don’t have product/market fit yet, talk to your customers and improve the product based on their feedback… There’s really only two things you should be doing in the early stage - talking to your customers and improving the product. It sounds like simple advice, but people spend so much time doing other stuff that’s not actually real work.” Following that advice, Brian emailed 10 of the people who had signed up for Coinbase and asked if they’d be open to a quick phone call. One of the users liked the wallet but didn’t have any Bitcoin. Brian asked him: “If there was an easy way to get Bitcoin into your wallet - like a buy button or something - would you have stuck around and used it?” “Yeah, probably” replied the user. So Brian spent the next few months securing bank partnerships and money transmission licenses so he could build a simple buy button into the app. Then he launched it. “The minute we launched that buy button, it started to grow every day organically with no marketing or anything. And that was the minute I felt like we finally had product/market fit.” Video Source: Steven Bartlett

Startup Archive

151,287 Aufrufe • vor 1 Jahr

Brian Armstrong shares the Y Combinator advice that helped Coinbase find product/market fit “The first version of a product you put out doesn’t work. In fact, that’s the only thing I’ve ever seen happen in startups. I’ve never seen a startup where the first version of their product actually worked. Sometimes in hindsight people like to tell that story, but I think in reality it’s very rare.” The first version of Coinbase was a hosted Bitcoin wallet. Brian posted it to Reddit and a few people signed up but nobody stuck around. Rather than get discouraged though, he recalled the advice he got at Y Combinator: “Don’t spend your time going to conferences and trying to raise money. If you don’t have product/market fit yet, talk to your customers and improve the product based on their feedback… There’s really only two things you should be doing in the early stage - talking to your customers and improving the product. It sounds like simple advice, but people spend so much time doing other stuff that’s not actually real work.” Following that advice, Brian emailed 10 of the people who had signed up for Coinbase and asked if they’d be open to a quick phone call. One of the users liked the wallet but didn’t have any Bitcoin. Brian asked him: “If there was an easy way to get Bitcoin into your wallet - like a buy button or something - would you have stuck around and used it?” “Yeah, probably” replied the user. So Brian spent the next few months securing bank partnerships and money transmission licenses so he could build a simple buy button into the app. Then he launched it. “The minute we launched that buy button, it started to grow every day organically with no marketing or anything. And that was the minute I felt like we finally had product/market fit.” Video source: Steven Bartlett (2022)
1:32

Brian Armstrong shares the Y Combinator advice that helped Coinbase find product/market fit “The first version of a product you put out doesn’t work. In fact, that’s the only thing I’ve ever seen happen in startups. I’ve never seen a startup where the first version of their product actually worked. Sometimes in hindsight people like to tell that story, but I think in reality it’s very rare.” The first version of Coinbase was a hosted Bitcoin wallet. Brian posted it to Reddit and a few people signed up but nobody stuck around. Rather than get discouraged though, he recalled the advice he got at Y Combinator: “Don’t spend your time going to conferences and trying to raise money. If you don’t have product/market fit yet, talk to your customers and improve the product based on their feedback… There’s really only two things you should be doing in the early stage - talking to your customers and improving the product. It sounds like simple advice, but people spend so much time doing other stuff that’s not actually real work.” Following that advice, Brian emailed 10 of the people who had signed up for Coinbase and asked if they’d be open to a quick phone call. One of the users liked the wallet but didn’t have any Bitcoin. Brian asked him: “If there was an easy way to get Bitcoin into your wallet - like a buy button or something - would you have stuck around and used it?” “Yeah, probably” replied the user. So Brian spent the next few months securing bank partnerships and money transmission licenses so he could build a simple buy button into the app. Then he launched it. “The minute we launched that buy button, it started to grow every day organically with no marketing or anything. And that was the minute I felt like we finally had product/market fit.” Video source: Steven Bartlett (2022)

Startup Archive

56,857 Aufrufe • vor 1 Jahr

Brian Armstrong shares the Y Combinator advice that helped Coinbase find product/market fit “The first version of a product you put out doesn’t work. In fact, that’s the only thing I’ve ever seen happen in startups. I’ve never seen a startup where the first version of their product actually worked. Sometimes in hindsight people like to tell that story, but I think in reality it’s very rare.” The first version of Coinbase was a hosted Bitcoin wallet. Brian posted it to Reddit and a few people signed up but nobody stuck around. Rather than get discouraged though, he recalled the advice he got at Y Combinator: “Don’t spend your time going to conferences and trying to raise money. If you don’t have product/market fit yet, talk to your customers and improve the product based on their feedback… There’s really only two things you should be doing in the early stage - talking to your customers and improving the product. It sounds like simple advice, but people spend so much time doing other stuff that’s not actually real work.” Following that advice, Brian emailed 10 of the people who had signed up for Coinbase and asked if they’d be open to a quick phone call. One of the users liked the wallet but didn’t have any Bitcoin. Brian asked him: “If there was an easy way to get Bitcoin into your wallet - like a buy button or something - would you have stuck around and used it?” “Yeah, probably” replied the user. So Brian spent the next few months securing bank partnerships and money transmission licenses so he could build a simple buy button into the app. Then he launched it. “The minute we launched that buy button, it started to grow every day organically with no marketing or anything. And that was the minute I felt like we finally had product/market fit.” Video source: Steven Bartlett (2022)
1:32

Brian Armstrong shares the Y Combinator advice that helped Coinbase find product/market fit “The first version of a product you put out doesn’t work. In fact, that’s the only thing I’ve ever seen happen in startups. I’ve never seen a startup where the first version of their product actually worked. Sometimes in hindsight people like to tell that story, but I think in reality it’s very rare.” The first version of Coinbase was a hosted Bitcoin wallet. Brian posted it to Reddit and a few people signed up but nobody stuck around. Rather than get discouraged though, he recalled the advice he got at Y Combinator: “Don’t spend your time going to conferences and trying to raise money. If you don’t have product/market fit yet, talk to your customers and improve the product based on their feedback… There’s really only two things you should be doing in the early stage - talking to your customers and improving the product. It sounds like simple advice, but people spend so much time doing other stuff that’s not actually real work.” Following that advice, Brian emailed 10 of the people who had signed up for Coinbase and asked if they’d be open to a quick phone call. One of the users liked the wallet but didn’t have any Bitcoin. Brian asked him: “If there was an easy way to get Bitcoin into your wallet - like a buy button or something - would you have stuck around and used it?” “Yeah, probably” replied the user. So Brian spent the next few months securing bank partnerships and money transmission licenses so he could build a simple buy button into the app. Then he launched it. “The minute we launched that buy button, it started to grow every day organically with no marketing or anything. And that was the minute I felt like we finally had product/market fit.” Video source: Steven Bartlett (2022)

Startup Archive

78,532 Aufrufe • vor 9 Monaten

Stripe CEO Patrick Collison shares the tactics he used for finding product/market fit “We tried very hard to understand in granular detail what exactly it was that people were doing, where they were tripping up and so on.” Patrick gives some examples of specific tactics: • A public chat room to provide support to people integrating Stripe • For the first 10 users of Stripe, every API request sent an email to the founders so they could better understand how users were using their product and see if users were doing anything weird • All errors generated a high-priority email to the founders. This created a pleasant user experience where 15 minutes after hitting an error, Patrick could reach out to them and let them know the issue was fixed “These are all kind of examples of a general pattern of trying to be hyper-attentive to all the micro details of what people were doing in the product and iterating rapidly in response to it. Generally speaking, I think pre-product/market fit metrics are actually relatively unhelpful because probably not that many people are using your product. If it’s 20 users, you can in some sense afford to just look at everything they’re doing to understand what’s working and what isn’t.” Another example of this Patrick gives is embedding a text input on each of their web pages with placeholder text prompting users to give them useful feedback(e.g. “The worst thing about Stripe is…”, “The worst thing about this page is…”, or “I really hate the way Stripe does…”). As Patrick explains: “At that stage, you have to be kind of masochistic. We’d always be waking up to all these emails telling us all the terrible things about Stripe. But that was a helpful to-do list for the day ahead. Video source: Y Combinator (2018)
2:13

Stripe CEO Patrick Collison shares the tactics he used for finding product/market fit “We tried very hard to understand in granular detail what exactly it was that people were doing, where they were tripping up and so on.” Patrick gives some examples of specific tactics: • A public chat room to provide support to people integrating Stripe • For the first 10 users of Stripe, every API request sent an email to the founders so they could better understand how users were using their product and see if users were doing anything weird • All errors generated a high-priority email to the founders. This created a pleasant user experience where 15 minutes after hitting an error, Patrick could reach out to them and let them know the issue was fixed “These are all kind of examples of a general pattern of trying to be hyper-attentive to all the micro details of what people were doing in the product and iterating rapidly in response to it. Generally speaking, I think pre-product/market fit metrics are actually relatively unhelpful because probably not that many people are using your product. If it’s 20 users, you can in some sense afford to just look at everything they’re doing to understand what’s working and what isn’t.” Another example of this Patrick gives is embedding a text input on each of their web pages with placeholder text prompting users to give them useful feedback(e.g. “The worst thing about Stripe is…”, “The worst thing about this page is…”, or “I really hate the way Stripe does…”). As Patrick explains: “At that stage, you have to be kind of masochistic. We’d always be waking up to all these emails telling us all the terrible things about Stripe. But that was a helpful to-do list for the day ahead. Video source: Y Combinator (2018)

Startup Archive

45,833 Aufrufe • vor 6 Monaten

🚨 MIND-BLOWING CONNECTION: DESTINY'S "WE'RE FUCKED" PANIC CALL + THE LAST GUY TO QUESTION CHARLIE KIRK = UNFUCK AMERICA TOUR CONSPIRACY?! This Video EXPOSES How a Discord Plot Could've Gone DOWN. Watch this video by by 🔥Jesse ON FIRE🔥 where he goes over a REALLY INCRIMINATING Destiny Vid from right after Charlie's 9/10/25 UVU assassination—Destiny's on stream, Z calls in FREAKING: "Charlie's fucking DEAD. We're SO FUCKED." He cuts her OFF mid-rant, whispers "Text on Discord—I don't wanna say anything CRAZY that'll RUIN OUR SHIT." Why the hush? Foreknowledge slip? Then BOOM: The final questioner? HUNTER KOZAK—asks about "trans violence" (ironic trigger?). Turns out, he's on the SAME "UNFUCK AMERICA TOUR" as Destiny (top billing!). Tour's mission? Shred conservatives like Charlie. Odds a radical plots "whacking Kirk" in THEIR Discord? Sky-high safe space for death chats. Shooter lurking there? Explains the mic handoff, the timing, the spook. But WAIT: As I dropped last, Kozak's DAD? STEVE KOZAK—Jimmy Kimmel Live's Director of Research/Clearances for 10+ yrs (fact-checks, legal OKs). Ironic for a "scripted" hit on live-TV foe? WORSE: New VID EVIDENCE—Kozak REHEARSING shocked reaction (hands to head) MINUTES BEFORE Charlie arrives! Matches his post-shot freakout EXACTLY. Foreknowledge? Involved in bigger remote-tent plot? is 60 Min interview & TikTok "tragedy" vid? EMOTIONLESS—pure Amber Heard liar vibes, zero grief, scripted somber. TOO MANY "coincidences". Destiny's history? Brags near-murder plots on Nunes fam, cheers rally shootings, taunts widows. "No downside" to silencing Tucker/Candace. Shady AF—her "somber" post? Too convenient. Not saying Destiny pulled trigger, but that chat? Plot HQ. Kozak's "awful" vid? Very Sus. Huge Shoutout to my bro 🔥Jesse ON FIRE🔥 Go FOLLOW him and check out his full video, ill link down below in the comments. FBI: INVESTIGATE KOZAK, Destiny | Steven Bonnell II , & Unfuck losers NOW! SEARCH WARRANT HIS DISCORD—bet there are incriminating "Charlie Kirk" msgs. Pressure 'em! RT to FORCE TRUTH! Who's "WE"? RT to UNMASK! So many red flags —What stands out to you the most? 👇
14:06

Sensitive content

🚨 MIND-BLOWING CONNECTION: DESTINY'S "WE'RE FUCKED" PANIC CALL + THE LAST GUY TO QUESTION CHARLIE KIRK = UNFUCK AMERICA TOUR CONSPIRACY?! This Video EXPOSES How a Discord Plot Could've Gone DOWN. Watch this video by by 🔥Jesse ON FIRE🔥 where he goes over a REALLY INCRIMINATING Destiny Vid from right after Charlie's 9/10/25 UVU assassination—Destiny's on stream, Z calls in FREAKING: "Charlie's fucking DEAD. We're SO FUCKED." He cuts her OFF mid-rant, whispers "Text on Discord—I don't wanna say anything CRAZY that'll RUIN OUR SHIT." Why the hush? Foreknowledge slip? Then BOOM: The final questioner? HUNTER KOZAK—asks about "trans violence" (ironic trigger?). Turns out, he's on the SAME "UNFUCK AMERICA TOUR" as Destiny (top billing!). Tour's mission? Shred conservatives like Charlie. Odds a radical plots "whacking Kirk" in THEIR Discord? Sky-high safe space for death chats. Shooter lurking there? Explains the mic handoff, the timing, the spook. But WAIT: As I dropped last, Kozak's DAD? STEVE KOZAK—Jimmy Kimmel Live's Director of Research/Clearances for 10+ yrs (fact-checks, legal OKs). Ironic for a "scripted" hit on live-TV foe? WORSE: New VID EVIDENCE—Kozak REHEARSING shocked reaction (hands to head) MINUTES BEFORE Charlie arrives! Matches his post-shot freakout EXACTLY. Foreknowledge? Involved in bigger remote-tent plot? is 60 Min interview & TikTok "tragedy" vid? EMOTIONLESS—pure Amber Heard liar vibes, zero grief, scripted somber. TOO MANY "coincidences". Destiny's history? Brags near-murder plots on Nunes fam, cheers rally shootings, taunts widows. "No downside" to silencing Tucker/Candace. Shady AF—her "somber" post? Too convenient. Not saying Destiny pulled trigger, but that chat? Plot HQ. Kozak's "awful" vid? Very Sus. Huge Shoutout to my bro 🔥Jesse ON FIRE🔥 Go FOLLOW him and check out his full video, ill link down below in the comments. FBI: INVESTIGATE KOZAK, Destiny | Steven Bonnell II , & Unfuck losers NOW! SEARCH WARRANT HIS DISCORD—bet there are incriminating "Charlie Kirk" msgs. Pressure 'em! RT to FORCE TRUTH! Who's "WE"? RT to UNMASK! So many red flags —What stands out to you the most? 👇

Project Constitution

82,308 Aufrufe • vor 9 Monaten

How many AI agents work at your company? We now have over 3,258 agents working alongside 1,300 humans. The crazy part is these agents were created by EVERY EMPLOYEE at our company... sales reps, marketers, customer support, product, eng. Literally EVERYONE. BUT I'm most surprised by the adoption and value that MANAGERS are getting from agents. I used to think that every IC would become a manager of agents. Now I think that managers will very likely manage WAY more agents than their ICs combined. And managers' agents will manage their ICs' agents - overseeing them for human-in-the-loop interactions. When creating agents, we use 100% context from all of your activity, files edited, tasks and projects worked on, hierarchy, skills, and role information. We build a user-based context model to make agents as relatable as possible to the specific human that we're building for. This means they truly understand the nuances of the work and what "great" looks like - because great is very much in the eye of the beholder. Great is by definition, subjective. This is also why the human ENGAGEMENT loops are SO vital to agent value. The iteration AFTER the agent is onboarded is where the MAGIC happens. This is just like a manager managing an IC in real life... you're giving feedback. In this case, though, agents learn INSTANTLY, and they retain the knowledge perfectly and indefinitely. Even though I've been pushing AI for years now to everyone in our company, this was the first time we had truly end-to-end AI adoption and retention. This kind of AI adoption is wild. But the value we're realizing is truly INSANE. Super Agents outnumber our humans nearly 3 to 1. What if you could 3X your workforce overnight? Watch this video to see how 👇
0:59

How many AI agents work at your company? We now have over 3,258 agents working alongside 1,300 humans. The crazy part is these agents were created by EVERY EMPLOYEE at our company... sales reps, marketers, customer support, product, eng. Literally EVERYONE. BUT I'm most surprised by the adoption and value that MANAGERS are getting from agents. I used to think that every IC would become a manager of agents. Now I think that managers will very likely manage WAY more agents than their ICs combined. And managers' agents will manage their ICs' agents - overseeing them for human-in-the-loop interactions. When creating agents, we use 100% context from all of your activity, files edited, tasks and projects worked on, hierarchy, skills, and role information. We build a user-based context model to make agents as relatable as possible to the specific human that we're building for. This means they truly understand the nuances of the work and what "great" looks like - because great is very much in the eye of the beholder. Great is by definition, subjective. This is also why the human ENGAGEMENT loops are SO vital to agent value. The iteration AFTER the agent is onboarded is where the MAGIC happens. This is just like a manager managing an IC in real life... you're giving feedback. In this case, though, agents learn INSTANTLY, and they retain the knowledge perfectly and indefinitely. Even though I've been pushing AI for years now to everyone in our company, this was the first time we had truly end-to-end AI adoption and retention. This kind of AI adoption is wild. But the value we're realizing is truly INSANE. Super Agents outnumber our humans nearly 3 to 1. What if you could 3X your workforce overnight? Watch this video to see how 👇

Zeb Evans

425,244 Aufrufe • vor 6 Monaten

WARP SPEED: EPISODE 3 - starring Dada, CEO of Sorce Jobs Dada You only get to live once. So you have to use the best software you can. Dada, daniel ajayi and david built Sorce (YC F25) into Tinder for Jobs—20 million swipes, companies like SpaceX, Anduril, Stripe, DoorDash, and Lyft hiring through their platform. 2.7 million video views. Got into YC three days after the deadline. Dada didn't plan to start a company. He built Sorce to apply to jobs faster for himself. Then SpaceX hired someone through Sorce. Then Anduril did too. "Our biggest fear was: are you just going to destroy the industry? Then Anduril hired someone from Sorce, and SpaceX hired someone from Sorce. I was like, okay, they actually like us." Now Sorce is contributing to the economy: - 20 million swipes in total - Every major tech company has interviewed or hired someone from Sorce - On track to contribute to 1% of all applications in the world - Built the first version in 2-3 weeks, launched the app in 7 weeks - Team of 5 moving at Gabriella Warp Speed In this conversation: (0:00) "I didn't want to start a company. I just wanted to apply to jobs faster" (0:36) Why Y Combinator: Working with world-class people like the founder of Google Photos David Lieb (0:48) The problem: Applying to jobs is painfully repetitive (01:07) Viral launch: 2.7M views—LinkedIn loved it, Twitter said "you're going to destroy the world" (01:45) From 30,000 swipes to 20M: On track for 1% of all applications in the world (02:45) Building the team: 5 people shipping at Warp speed (03:45) Shipping velocity: Built Tinder for Jobs in 7 weeks (04:20) Switching from Rippling: "The UI was very confusing. I paid a contractor twice" (04:33) Switching to Warp: “Warp is a breath of fresh air, it’s like moving from Teams to Slack. The design is just really beautiful” (04:58) Setting the bar: "You want to be inspired by everything you use. It also helps you as a founder to know where the bar is. I’m building a B2B product soon and it should look like Warp and it should be as simple as warp”
5:40

WARP SPEED: EPISODE 3 - starring Dada, CEO of Sorce Jobs Dada You only get to live once. So you have to use the best software you can. Dada, daniel ajayi and david built Sorce (YC F25) into Tinder for Jobs—20 million swipes, companies like SpaceX, Anduril, Stripe, DoorDash, and Lyft hiring through their platform. 2.7 million video views. Got into YC three days after the deadline. Dada didn't plan to start a company. He built Sorce to apply to jobs faster for himself. Then SpaceX hired someone through Sorce. Then Anduril did too. "Our biggest fear was: are you just going to destroy the industry? Then Anduril hired someone from Sorce, and SpaceX hired someone from Sorce. I was like, okay, they actually like us." Now Sorce is contributing to the economy: - 20 million swipes in total - Every major tech company has interviewed or hired someone from Sorce - On track to contribute to 1% of all applications in the world - Built the first version in 2-3 weeks, launched the app in 7 weeks - Team of 5 moving at Gabriella Warp Speed In this conversation: (0:00) "I didn't want to start a company. I just wanted to apply to jobs faster" (0:36) Why Y Combinator: Working with world-class people like the founder of Google Photos David Lieb (0:48) The problem: Applying to jobs is painfully repetitive (01:07) Viral launch: 2.7M views—LinkedIn loved it, Twitter said "you're going to destroy the world" (01:45) From 30,000 swipes to 20M: On track for 1% of all applications in the world (02:45) Building the team: 5 people shipping at Warp speed (03:45) Shipping velocity: Built Tinder for Jobs in 7 weeks (04:20) Switching from Rippling: "The UI was very confusing. I paid a contractor twice" (04:33) Switching to Warp: “Warp is a breath of fresh air, it’s like moving from Teams to Slack. The design is just really beautiful” (04:58) Setting the bar: "You want to be inspired by everything you use. It also helps you as a founder to know where the bar is. I’m building a B2B product soon and it should look like Warp and it should be as simple as warp”

Ayush S

20,553 Aufrufe • vor 8 Monaten