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Dmitry Golubnichiy reposted thisDmitry Golubnichiy reposted thisWhat has Perplexity been up to last two months? We've silently been working on the next big thing: Perplexity Computer. Computer unifies every current capability of AI into a single system. Files, tools, memory, and models, orchestrated together, working for you. It's multi-model by design. When models specialize, they just become tools similar to the file system, CLI tools, connectors, browser, search. No single model family can do its best work for you without the talents of other models. Steve Jobs said “Musicians play their instruments, I play the orchestra.” Perplexity Computer orchestrates 19 models. One reasons, another codes, another writes, etc. Users can also set specific models for certain sub-tasks for sophisticated token management. The computer is one of the best inventions known to mankind. And when AIs can orchestrate a file system with CLI tools + a browser (real-time internet access) + your personal connectors, AI essentially becomes the Computer, running things on the cloud as you sleep. We're opening it initially to all Max users, and introducing usage-based pricing, which we believe is the right business model for AI instead of ads. Once we are satisfied with load tests, Pro users will be able to run jobs on Computer too. Get started here (requires a sign-in to use): https://lnkd.in/gxXGy_5E
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Dmitry Golubnichiy reposted thisDmitry Golubnichiy reposted thisBrowse at the speed of thought. Comet is available today to Perplexity Max subscribers. Comet will begin to roll out by invite-only over the next few weeks as we prioritize users on our growing waitlist. https://lnkd.in/eeJ4ZuAt
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Dmitry Golubnichiy reposted thisDmitry Golubnichiy reposted thisPerplexity will be launching Comet, a new agentic browser, very soon! Sign up for the waitlist here: https://t.co/v7Hh0eUsDn This is a pretty serious engineering undertaking. Please join us to help build the future of Internet browsing with AIs doing deep research and tasks for us! https://t.co/QOu2LZIcFV
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Dmitry Golubnichiy shared thisDmitry Golubnichiy shared thisWe are incredibly humbled and blown away by the support and feedback from our community! We became the #1 Product of the Day on Product Hunt yesterday. Thank you so much for being with us along the way. And now let's get to work on all the amazing stuff we have on our roadmap to make you focused and unstoppable!
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Dmitry Golubnichiy shared thisOne more important step done. Tons of code have been rewriten and now we sure in stability and scalability of our application. Now, we are ready to take off! A new presentation of our idea and product can be found on ProductHunt. Feel free to vote and write reviews. https://lnkd.in/eSNVCahi #sidekick #productivity #browsers #producthunt
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Dmitry Golubnichiy liked thisDmitry Golubnichiy liked thisWhat has Perplexity been up to last two months? We've silently been working on the next big thing: Perplexity Computer. Computer unifies every current capability of AI into a single system. Files, tools, memory, and models, orchestrated together, working for you. It's multi-model by design. When models specialize, they just become tools similar to the file system, CLI tools, connectors, browser, search. No single model family can do its best work for you without the talents of other models. Steve Jobs said “Musicians play their instruments, I play the orchestra.” Perplexity Computer orchestrates 19 models. One reasons, another codes, another writes, etc. Users can also set specific models for certain sub-tasks for sophisticated token management. The computer is one of the best inventions known to mankind. And when AIs can orchestrate a file system with CLI tools + a browser (real-time internet access) + your personal connectors, AI essentially becomes the Computer, running things on the cloud as you sleep. We're opening it initially to all Max users, and introducing usage-based pricing, which we believe is the right business model for AI instead of ads. Once we are satisfied with load tests, Pro users will be able to run jobs on Computer too. Get started here (requires a sign-in to use): https://lnkd.in/gxXGy_5E
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Dmitry Golubnichiy liked thisDmitry Golubnichiy liked thisComet is now available for Android. The most powerful AI browser now goes wherever you do. Download today on the Google Play Store: https://lnkd.in/epCBUCQP
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Dmitry Golubnichiy liked thisDmitry Golubnichiy liked thisExcited to make Perplexity's Comet browser generally available to all. No more gating behind a paywall or a waitlist. Comet first launched on July 9, with a waitlist of 460,000 users; and the waitlist quickly grew to millions. It's been incredible to see how users adopted Comet and started asking questions that they could never ask anywhere else. That's what a truly personal AI with browsing and agent capabilities enables. The mobile version is going to come in the next few weeks! We're excited about our roadmap ahead, and proud of how fast we've been able to make it available to all. Download here: https://lnkd.in/eusuc657
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Dmitry Golubnichiy liked thisDmitry Golubnichiy liked thisIt’s hard to do one good product. It’s even harder to do two. We hope to grow both these to billion users and continue to create new ones.
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Dmitry Golubnichiy liked thisDmitry Golubnichiy liked thisPerplexity has acquired Invisible, a stellar team with deep expertise in scalable infrastructure for agents with past experience at Uber and Cloud Kitchens. The team led by Minh Pham and Justin Takamine will help us in scaling Comet infrastructure securely and reliably among both consumers and enterprises. More soon!
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Dmitry Golubnichiy liked thisDmitry Golubnichiy liked thisPerplexity is now the #1 overall app on App Store in India, ahead of ChatGPT.
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Dmitry Golubnichiy liked thisDmitry Golubnichiy liked thisHey! I know I have plenty of people in and around software development in my circles, so I thought I can throw a question into the void and see if the void would talk back to me. I'm working with PyCharm, an IDE aimed at developers writing code in Python. Python is a dynamically typed language, which means the variable types are determined and checked at runtime. At the same time, a lot of Python professionals use type annotations (type hints) to specify the type of a parameter or expected function result. It is more or less universally agreed that type hints help to keep code clear and readable, reduces the number of bugs and errors and overall boosts the developers' performance. The bigger the team or the project, the more noticeable this effect will be. Everybody agrees that, if you disregard the investment into introducing type hints in the codebase and supporting them, when they are there, they are a universal good. I spent some time trying to put my finger on the quantitative effect of that good, and miserably failed. Granted, PyCharm is an IDE, an individual tool, and therefore we can not assess any effects, say, on the team level, or on the project level -- we just can't have access to that data. But surely there has to be some noticeable and measurable effect on the individual level too? How would you measure the developer's efficiency at writing code? What exactly is supposed to be different between two similar developers, when one of them does use type hints and the other doesn't? This is one of the examples of product features that can be planned and launched not because some tangible effect is expected, but rather based on the crowd wisdom and understanding of the universal good, as it is percieved in the target user community. Until that metric is discovered, of course.
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Philip Parkinson
Building a software development agency in today’s climate is interesting. Constant chat about how AI tools can replace developers. Potential and current clients asking “can we not just build it with AI?” I have been listening to Lennys Podcast with Lazar Jovanovic from LOVEABLE. Credit to him he mentions how the AI tools fall short when it comes to third party integrations, which is 100% the case and what our experience at Shape Technical Consulting shows. However, he also mentions how he would rather build a saas ‘in a couple of hours’ than use one exists… I don’t know if that’s great advice. Also discussing his workflow where he doesn’t review the code and just reads the AI agents output of what it tells him he did. We treat AI agents the same we we treat junior developers. Now if I told you that we don’t review junior code and trusted that if our junior said they had integrated with Stripe that they had, what would you think? Blindly letting AI build your software without technical understanding is not going to build anything that lasts. If anyone has built something completely with vibes and its handling hundreds/thousands of users without issues please leave a comment below. AI is part of development now but I don’t know if I think it’s role will be to replace developers and the technical understanding to write good quality systems and software. https://lnkd.in/ekZ82cx5
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Chaitya Panchal
💡 The Reason Many Enterprise Companies Choose Symfony A few years ago, I worked on a project where the codebase had grown very large. New features were becoming harder to implement. Bug fixes were taking longer. And the system was slowly becoming difficult to maintain. That’s when we started focusing on structured architecture and frameworks designed for scalability. One framework that stood out was Symfony. Here’s why it works so well for enterprise-level applications: ✔ Strict architecture keeps projects organized ✔ Powerful dependency injection makes code reusable ✔ Doctrine ORM simplifies complex database operations ✔ Long-Term Support (LTS) ensures stability for years ✔ Reusable components used by many PHP frameworks The biggest lesson? 💡 Enterprise software isn’t about writing code fast. It’s about writing code that can survive years of development. That’s exactly where Symfony shines. #Symfony #PHP #BackendDevelopment #SoftwareArchitecture #CleanCode #WebDevelopment #SoftwareEngineering #FullStackDeveloper #Programming #DeveloperLife
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