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Automate your personal iPhone. With voice. Introducing the world's first software-only personal iPhone automation. No jailbreak, cloud, or hardware required. During the This Week in Startups podcast last month, @jason asked me if we could automate iPhones through the mirroring tool. Many customers were asking for it, so it's... show more

Rohan Arun

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27,629 Aufrufe • vor 4 Monaten •via X (Twitter)

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Side-by-side benchmarks beating OpenAI Codex computer-use using their own models! 👀 Round 1: Clip a youtube video from our channel and upload it to Tiktok ✅ + GPT 5.4 + our computer-use-kit: Successfully uploads a clip with subtitles and hook after 16 minutes (and works in iPhone/Android) ❌ Codex + GPT 5.4: Gets the clip format wrong 3 times, asks for human intervention, and finally fails after 21 minutes. Codex actually does try iPhone mirroring and Capcut, which is very cool and kudos to the team, but it ultimately fails after burning credits. Sam Altman this is not easy to do, but happy to help you guys integrate our computer-use-kit. 😀 I co-founded the first startup approved by openAI to sell GPT3 for automation in August 2021(Cheatlayer) months before so I've been working on this for a long time. We automate Mac/Windows/Linux/Chrome/Android/Iphone + Daytona sandboxes and Browserbase cloud browsers out of the box. We also just shipped automated benchmarks, so we're building the most comprehensive computer-use benchmark for long-running tasks on the planet.

Side-by-side benchmarks beating OpenAI Codex computer-use using their own models! 👀 Round 1: Clip a youtube video from our channel and upload it to Tiktok ✅ + GPT 5.4 + our computer-use-kit: Successfully uploads a clip with subtitles and hook after 16 minutes (and works in iPhone/Android) ❌ Codex + GPT 5.4: Gets the clip format wrong 3 times, asks for human intervention, and finally fails after 21 minutes. Codex actually does try iPhone mirroring and Capcut, which is very cool and kudos to the team, but it ultimately fails after burning credits. Sam Altman this is not easy to do, but happy to help you guys integrate our computer-use-kit. 😀 I co-founded the first startup approved by openAI to sell GPT3 for automation in August 2021(Cheatlayer) months before so I've been working on this for a long time. We automate Mac/Windows/Linux/Chrome/Android/Iphone + Daytona sandboxes and Browserbase cloud browsers out of the box. We also just shipped automated benchmarks, so we're building the most comprehensive computer-use benchmark for long-running tasks on the planet.

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Over the past 6 weeks, I've automated dozens of hours of grunt, repetitive work. Every Friday, I spend a few minutes writing down everything I do more than once during the week: 1. I automate what I can automate 2. I improve what I can't automate Two levels of unlock here: 1. Start using voice 2. Start using voice-to-action agents The team reached out to partner with me. I've been testing them, and this is precisely what they do. First, if you are still typing your prompts, stop. Start using voice. Go from typing to dictation on your computer. This alone will save you hours every year. Second, move from asking questions to using an agent that automates tasks for you. Lemon is a VOICE-TO-ACTION agent (instead of a voice-to-text model): • You press a button • You say what you need • Lemon executes the task in whatever app you are using Lemon works across Mac apps, so you can drive them all with your voice. Lemon is currently free. 100% worth trying.

Over the past 6 weeks, I've automated dozens of hours of grunt, repetitive work. Every Friday, I spend a few minutes writing down everything I do more than once during the week: 1. I automate what I can automate 2. I improve what I can't automate Two levels of unlock here: 1. Start using voice 2. Start using voice-to-action agents The team reached out to partner with me. I've been testing them, and this is precisely what they do. First, if you are still typing your prompts, stop. Start using voice. Go from typing to dictation on your computer. This alone will save you hours every year. Second, move from asking questions to using an agent that automates tasks for you. Lemon is a VOICE-TO-ACTION agent (instead of a voice-to-text model): • You press a button • You say what you need • Lemon executes the task in whatever app you are using Lemon works across Mac apps, so you can drive them all with your voice. Lemon is currently free. 100% worth trying.

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Introducing Typeless for iPhone. -- When the iPhone was introduced, Steve Jobs intentionally removed the physical keyboard. A fixed keyboard couldn't adapt, but a virtual one could - and that decision defined the smartphone era. We believe that wasn't the final step. The virtual keyboard was a transition. Voice is the next generation. -- When we launched Typeless on Mac and Windows, tens of thousands of people resonated with this idea. And the number one request we heard, again and again, was: “Bring Typeless to mobile.” Today, I'm excited to launch Typeless for iPhone. Typeless for iOS is an AI voice keyboard that understands your intent and turns your raw speech into clear, polished, natural writing - effortlessly and in real time. No commands. No formatting tricks. It reads as if you carefully wrote it yourself. -- Core features: Works everywhere - Every app on your iPhone: iMessage, Slack, Mail, Notes, and more AI auto-editing - Removes filler words, fixes grammar, and formats perfectly as you speak Speak to edit - Revise, refine, or rephrase by simply saying what you want to change Whisper mode - Dictate quietly and precisely in low-voice environments 100+ languages - Speak any language (or mix them); Typeless detects and transcribes automatically Personal dictionary - Names, brands, and custom vocabulary learned once, never missed Private by design - Zero data retention. We never store or train on your data. All history stays on your device When input friction disappears on a phone, everything changes. Your iPhone becomes capable of things that once felt impossible - at 10× the speed. This isn't just a new app. It's a new way to use your phone. Welcome to the end of typing. Welcome to Typeless. -- Dictated with Typeless

Introducing Typeless for iPhone. -- When the iPhone was introduced, Steve Jobs intentionally removed the physical keyboard. A fixed keyboard couldn't adapt, but a virtual one could - and that decision defined the smartphone era. We believe that wasn't the final step. The virtual keyboard was a transition. Voice is the next generation. -- When we launched Typeless on Mac and Windows, tens of thousands of people resonated with this idea. And the number one request we heard, again and again, was: “Bring Typeless to mobile.” Today, I'm excited to launch Typeless for iPhone. Typeless for iOS is an AI voice keyboard that understands your intent and turns your raw speech into clear, polished, natural writing - effortlessly and in real time. No commands. No formatting tricks. It reads as if you carefully wrote it yourself. -- Core features: Works everywhere - Every app on your iPhone: iMessage, Slack, Mail, Notes, and more AI auto-editing - Removes filler words, fixes grammar, and formats perfectly as you speak Speak to edit - Revise, refine, or rephrase by simply saying what you want to change Whisper mode - Dictate quietly and precisely in low-voice environments 100+ languages - Speak any language (or mix them); Typeless detects and transcribes automatically Personal dictionary - Names, brands, and custom vocabulary learned once, never missed Private by design - Zero data retention. We never store or train on your data. All history stays on your device When input friction disappears on a phone, everything changes. Your iPhone becomes capable of things that once felt impossible - at 10× the speed. This isn't just a new app. It's a new way to use your phone. Welcome to the end of typing. Welcome to Typeless. -- Dictated with Typeless

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Proud to share that GreyLabs AI has won the prestigious India FinTech Forum IFTA 2025 Award for Best Use of AI in Fintech. What makes this especially meaningful is how it happened. We have never applied for awards, hackathons, or Forbes 30 Under 30. This recognition came because many of our customers were part of the jury and they recommended our name. Being evaluated and endorsed by customers is the strongest validation one can get. We were shortlisted alongside several strong AI startups in the Financial Services space, and winning this award is a testament to the trust our customers place in us. Today, we are among the fastest-growing companies in the Voice AI space, working with 50+ Financial Institutions, helping them automate contact centers at scale with human-like Voice. I continue to believe that founders should focus relentlessly on customers. Awards, recognition, investors, and great talent will follow naturally as outcomes, not goals. Grateful to our customers, team, and partners for making this possible.

Proud to share that GreyLabs AI has won the prestigious India FinTech Forum IFTA 2025 Award for Best Use of AI in Fintech. What makes this especially meaningful is how it happened. We have never applied for awards, hackathons, or Forbes 30 Under 30. This recognition came because many of our customers were part of the jury and they recommended our name. Being evaluated and endorsed by customers is the strongest validation one can get. We were shortlisted alongside several strong AI startups in the Financial Services space, and winning this award is a testament to the trust our customers place in us. Today, we are among the fastest-growing companies in the Voice AI space, working with 50+ Financial Institutions, helping them automate contact centers at scale with human-like Voice. I continue to believe that founders should focus relentlessly on customers. Awards, recognition, investors, and great talent will follow naturally as outcomes, not goals. Grateful to our customers, team, and partners for making this possible.

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VoiceBox just did what everyone thought was impossible. It might have killed ElevenLabs overnight. No subscription. No cloud. No credits. Runs locally on your machine. Clones a voice from 3 seconds of audio. Powered by Qwen 3 TTS. Apache 2.0 license. Commercial use allowed. And your voice data never leaves your computer. For years, if you wanted high quality voice cloning, ElevenLabs was the default. Now there’s a free open-source alternative that sounds shockingly close. Plus it has a built-in multi-track editor, recording, transcription with Whisper, and a local API. This isn’t just another TTS tool. It’s a full voice production studio on your desktop. Open source AI is catching up fast. And this changes the game for creators and businesses. Would you trust the cloud with your voice… or keep it local? 👇

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built and shipped a tool in my spare time over the past few days using Cursor Composer: YouTube Link ---> Podcast Summary (with my voice) You can take any youtube link, no matter how long the video... and turn it into a video summary podcast hosted by ME and . I built this using the vibx API I will adding the ability to use your own custom voices very soon if you are subscribed. We are building @yapthread to test features before adding them into the main app. Which will soon send you daily digests of your voice notes and bookmarks in podcast format, but we are trying to get the technology and prompting right first. This will help with testing.

Riley Brown

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SITUATION EXPLAINED: Why is software the most important part of the AI hardware stack? We asked Anush Elangovan, VP of AI software at AMD "You got the data center, you got desktop, you got laptops, you got FPGAs. And in time, we have multiple generations of each. So if you map this whole terrain out, software is gonna have to map across so much hardware variation that this is kind of like the golden age of abstractions." "We wanna abstract it in a way that you almost have to automate it too. Because there's gonna be a combinatorial explosion of cases that we have to handle. But every one of them is gonna expect day zero support and performant models." "You're not doing performance optimization of one platform. You're doing performance optimization of N platforms across like a time machine. And when a new model drops, every combination is gonna be looking for it." "Because AI is gonna suck up every flop that exists. Any flop, any compute you have anywhere is something that AI could be using: your laptop doing local tokens for coding sessions, grepping files, bash commands, voice commands done locally for latency reasons."

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MTS

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⚠️ Hey all, this is really important to iPhone/iPad users only: ⚠️ - There's a crash and while we work on a fix for that, here's the workaround for you: - Rotate your device during the Loading Screen (I know, it somehow works) - OR take a screenshot of the game during the Loading Screen - OR slide down to device settings (to access flashlight, brightness, airplane mode, etc) - You can also try to update your iOS to 17 if it's available for you - Because of that, we are also adding a Legendary Starr Drop in the shop for everyone We are also disabling the sharing Replays feature for the time being as there's another bug related it For Android players: go Brawl! 🔥 Sorry for the inconvenience caused 🙏

Brawl Stars

1,401,652 Aufrufe • vor 2 Jahren

🥧 Introducing GooeyPi - A GUI for the Pi Family of Agents. Supports: Pi, Oh-My-Pi (OMP), and Prime Agent Very excited to share this with you all. Being into local models, I wanted to have a separate harness for my local models so I don't have to constantly switch configs. And I didn't want to go back to the TUI (nerds). But, I didn't want to miss out on all the features that I know and love. Turns out, I didn't have to. I just needed to build it myself. So I did. Features include: > Fully featured GUI experience > Agentic Browser > Realtime Voice Agent > Voice transcription (local or API) > Computer Use > Automation Desk > Agent to Agent messaging > Ask Question Tool > Git Control > Terminal > Pets > and more I tried to capture all of the most popular features I could in this first pass, but we're only just getting started. Available in BETA on MacOS, Linux, and Windows. I need testers! I have only tested on Mac and Linux. If you want to help me with this project, please reach out. Available:

🥧 Introducing GooeyPi - A GUI for the Pi Family of Agents. Supports: Pi, Oh-My-Pi (OMP), and Prime Agent Very excited to share this with you all. Being into local models, I wanted to have a separate harness for my local models so I don't have to constantly switch configs. And I didn't want to go back to the TUI (nerds). But, I didn't want to miss out on all the features that I know and love. Turns out, I didn't have to. I just needed to build it myself. So I did. Features include: > Fully featured GUI experience > Agentic Browser > Realtime Voice Agent > Voice transcription (local or API) > Computer Use > Automation Desk > Agent to Agent messaging > Ask Question Tool > Git Control > Terminal > Pets > and more I tried to capture all of the most popular features I could in this first pass, but we're only just getting started. Available in BETA on MacOS, Linux, and Windows. I need testers! I have only tested on Mac and Linux. If you want to help me with this project, please reach out. Available:

am.will

124,242 Aufrufe • vor 2 Tagen

Google just shipped a free dictation app for Mac and iPhone called AI Edge Eloquent, and the model running it is Gemma 4 12B, entirely on your device. What it actually does: you speak, it transcribes, removes filler words, and polishes the result before dropping clean text into whatever app you are using. You can also give it voice commands to reformat, like "translate to Hindi" or "make this a bullet list." Audio and video file transcription is built in too. The interesting part is the privacy angle. Most AI writing tools send your audio to a server. This one never leaves your machine, which matters if you are dictating anything sensitive. The tradeoff is hardware: you need a Mac with at least 16GB of RAM to run a 12B parameter model comfortably.

Google just shipped a free dictation app for Mac and iPhone called AI Edge Eloquent, and the model running it is Gemma 4 12B, entirely on your device. What it actually does: you speak, it transcribes, removes filler words, and polishes the result before dropping clean text into whatever app you are using. You can also give it voice commands to reformat, like "translate to Hindi" or "make this a bullet list." Audio and video file transcription is built in too. The interesting part is the privacy angle. Most AI writing tools send your audio to a server. This one never leaves your machine, which matters if you are dictating anything sensitive. The tradeoff is hardware: you need a Mac with at least 16GB of RAM to run a 12B parameter model comfortably.

Aditya ⚡Rao

84,988 Aufrufe • vor 2 Monaten

🚨 BREAKING A new AI app by Every 📧 launches today: Monologue Monologue is a smart voice dictation app for Mac that lets you work 3x faster without breaking flow. It’s already being used by people like Ben Tossell, Nat Eliason, and Julien Chaumond to write over 1 million words a week. Most voice dictation apps flatten your voice. Monologue is different. It understands your vocabulary, your apps, and your style, so nothing gets lost in translation. What you get: - Smart formatting: Text comes out polished and structured for the app you’re in—no cleanup needed. - Personal dictionary: Proper nouns, acronyms, and slang are remembered automatically. - Deep context: With permission, Monologue sees your screen so it knows what you’re referencing. - Multilingual by default: Dictate in 100-plus languages and switch between them effortlessly. - Flexible modes: Use prebuilt workflows (email, docs, notes, code) or design your own. - Local models: Use Monologue without sending your information to the cloud. We want Every 📧 to be the only subscription you need to stay at the edge of AI. That's why Monologue is available now for free for Every 📧 paid subscribers along with Cora, Sparkle, and Spiral—all for just $30 / month. Or you can use Monologue standalone for just $10 / month if you sign up during our early bird period. Try Monologue now →

🚨 BREAKING A new AI app by Every 📧 launches today: Monologue Monologue is a smart voice dictation app for Mac that lets you work 3x faster without breaking flow. It’s already being used by people like Ben Tossell, Nat Eliason, and Julien Chaumond to write over 1 million words a week. Most voice dictation apps flatten your voice. Monologue is different. It understands your vocabulary, your apps, and your style, so nothing gets lost in translation. What you get: - Smart formatting: Text comes out polished and structured for the app you’re in—no cleanup needed. - Personal dictionary: Proper nouns, acronyms, and slang are remembered automatically. - Deep context: With permission, Monologue sees your screen so it knows what you’re referencing. - Multilingual by default: Dictate in 100-plus languages and switch between them effortlessly. - Flexible modes: Use prebuilt workflows (email, docs, notes, code) or design your own. - Local models: Use Monologue without sending your information to the cloud. We want Every 📧 to be the only subscription you need to stay at the edge of AI. That's why Monologue is available now for free for Every 📧 paid subscribers along with Cora, Sparkle, and Spiral—all for just $30 / month. Or you can use Monologue standalone for just $10 / month if you sign up during our early bird period. Try Monologue now →

Dan Shipper 📧

258,622 Aufrufe • vor 11 Monaten

afaik i'm the only one with an actually smart TV here's a demo of full computer use with just a remote, sitting on a couch. i can even get work done while chasing a toddler lmao reply below if you want to be a beta tester & i'll send you the download (mac only) - everything runs locally, no cloud AI. uses 4gb of gpu memory - mic is on the remote, so you can whisper into it, or use in crowded/loud environments - transcribes text directly or runs keyboard shortcuts / applescript if it sounds like an action command "i.e. close this page" - 600ms response time on my m3 max (transcription + LLM tool calls) - continuous transcription previews available. can be auto-turned off on battery to conserve battery - no apple tv remote required, you can also use your phone as the remote (screenshot below) even for direct transcription, it's quite a different experience than regular transcription software because you don't need to be close to your computer mic or your keyboard. you can be pacing around, which i love doing when writing long prompts also... the apple siri remote is a beautiful piece of hardware and has apple-quality trackpad. it's kind of a must for a good remote

afaik i'm the only one with an actually smart TV here's a demo of full computer use with just a remote, sitting on a couch. i can even get work done while chasing a toddler lmao reply below if you want to be a beta tester & i'll send you the download (mac only) - everything runs locally, no cloud AI. uses 4gb of gpu memory - mic is on the remote, so you can whisper into it, or use in crowded/loud environments - transcribes text directly or runs keyboard shortcuts / applescript if it sounds like an action command "i.e. close this page" - 600ms response time on my m3 max (transcription + LLM tool calls) - continuous transcription previews available. can be auto-turned off on battery to conserve battery - no apple tv remote required, you can also use your phone as the remote (screenshot below) even for direct transcription, it's quite a different experience than regular transcription software because you don't need to be close to your computer mic or your keyboard. you can be pacing around, which i love doing when writing long prompts also... the apple siri remote is a beautiful piece of hardware and has apple-quality trackpad. it's kind of a must for a good remote

murat 🍥

414,885 Aufrufe • vor 11 Monaten

Here we go. This is the 9-month recap of my "The Future Belongs to People Who Do Things" talk. Inside: - The problems with AGENTS . md - The problems with LLM model selectors - Best practices for LLM context windows - AI usage mandates at employers - Employment performance review dynamic changes - The world's first vibe-coded emoji RPN calculator in COBOL - The world's first vibe-coded compiler (CURSED programming language) and a final urge to do things, as this is perhaps the last time I deliver this talk. It's been nine months since the invention of tool-calling LLMs, and VC subsidies have already started to disappear. If people haven't taken action, they're falling behind because it's becoming increasingly cost-prohibitive to undertake personal upskilling.

Here we go. This is the 9-month recap of my "The Future Belongs to People Who Do Things" talk. Inside: - The problems with AGENTS . md - The problems with LLM model selectors - Best practices for LLM context windows - AI usage mandates at employers - Employment performance review dynamic changes - The world's first vibe-coded emoji RPN calculator in COBOL - The world's first vibe-coded compiler (CURSED programming language) and a final urge to do things, as this is perhaps the last time I deliver this talk. It's been nine months since the invention of tool-calling LLMs, and VC subsidies have already started to disappear. If people haven't taken action, they're falling behind because it's becoming increasingly cost-prohibitive to undertake personal upskilling.

geoff

109,744 Aufrufe • vor 11 Monaten

DoorDash started as a $9 website with PDF menus and a Google Voice number. "We shipped — that alias was available for $9, and that's why we got it. It was a static page where you saw eight PDF menus of restaurants we frequented in Palo Alto. The only way you could order is you'd read through the menus, call a Google Voice number that would ring the cell phones of the four founders, and one of us would pick up, take your order, place the order on your behalf, go get the order, and deliver it to you. I used to be an intern at Square, so I had these card readers — these white dongles that could stick into the audio jacks of iPhones — and that's how we collected payment." — Tony Xu

DoorDash started as a $9 website with PDF menus and a Google Voice number. "We shipped — that alias was available for $9, and that's why we got it. It was a static page where you saw eight PDF menus of restaurants we frequented in Palo Alto. The only way you could order is you'd read through the menus, call a Google Voice number that would ring the cell phones of the four founders, and one of us would pick up, take your order, place the order on your behalf, go get the order, and deliver it to you. I used to be an intern at Square, so I had these card readers — these white dongles that could stick into the audio jacks of iPhones — and that's how we collected payment." — Tony Xu

David Senra

340,476 Aufrufe • vor 4 Monaten

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.

Aaron Levie

91,863 Aufrufe • vor 11 Monaten

Evan Spiegel on the lesson that killed his first startup and led to Snapchat: "We focused on building the perfect product for way too long before we got feedback. We worked for like eighteen months to build this perfect full-featured product, which was in direct contravention to how I was always taught to build things. Build a prototype, build an MVP, get it in front of people, learn as quickly as possible. But we had spent all this time building this perfect piece of software and we hadn't thought enough about distribution. While we built this great piece of software, our competitor at the time, Naviance, had secured distribution through all the different college counselors. What piece of software are you going to choose to help your kid get into college? The one recommended by the college counselors or the one from two kids at Stanford? I think it's a pretty easy choice. So we saw very early that we had no distribution advantage. Even if we loved our software, people weren't going to use it because we didn't have a scalable way to get it in people's hands. Around that time when we saw the emergence of the App Store on iPhone, it was very clear that was a distribution channel we could really use and benefit from. But we also needed to build things we could build quickly, things we really were going to use together with our friends so we could be the first early customers. Ultimately Peekaboo and Snapchat represented that." This is exactly the asymmetry Peter Thiel describes in Zero to One: superior distribution by itself can create a monopoly, even with no product differentiation. The converse is not true. Thiel puts an even finer point on it: most businesses get zero distribution channels to work. Poor sales rather than bad product is the most common cause of failure. If you can get just one distribution channel to work, you have a great business. Estée Lauder said: it's not enough to have the most wonderful product in the world. You must be able to sell it. Many founders over-index on product perfection and under-invest in distribution. The world is full of great products nobody knows about, and mediocre products with massive distribution that dominate markets. Evan Spiegel lived it. He built the better product, watched it lose, and then built something he could actually distribute.

Evan Spiegel on the lesson that killed his first startup and led to Snapchat: "We focused on building the perfect product for way too long before we got feedback. We worked for like eighteen months to build this perfect full-featured product, which was in direct contravention to how I was always taught to build things. Build a prototype, build an MVP, get it in front of people, learn as quickly as possible. But we had spent all this time building this perfect piece of software and we hadn't thought enough about distribution. While we built this great piece of software, our competitor at the time, Naviance, had secured distribution through all the different college counselors. What piece of software are you going to choose to help your kid get into college? The one recommended by the college counselors or the one from two kids at Stanford? I think it's a pretty easy choice. So we saw very early that we had no distribution advantage. Even if we loved our software, people weren't going to use it because we didn't have a scalable way to get it in people's hands. Around that time when we saw the emergence of the App Store on iPhone, it was very clear that was a distribution channel we could really use and benefit from. But we also needed to build things we could build quickly, things we really were going to use together with our friends so we could be the first early customers. Ultimately Peekaboo and Snapchat represented that." This is exactly the asymmetry Peter Thiel describes in Zero to One: superior distribution by itself can create a monopoly, even with no product differentiation. The converse is not true. Thiel puts an even finer point on it: most businesses get zero distribution channels to work. Poor sales rather than bad product is the most common cause of failure. If you can get just one distribution channel to work, you have a great business. Estée Lauder said: it's not enough to have the most wonderful product in the world. You must be able to sell it. Many founders over-index on product perfection and under-invest in distribution. The world is full of great products nobody knows about, and mediocre products with massive distribution that dominate markets. Evan Spiegel lived it. He built the better product, watched it lose, and then built something he could actually distribute.

David Senra

27,043 Aufrufe • vor 4 Monaten