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Solving hard problems with code and technology.
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5K followers
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Donovan Hiland shared thisCome join us tomorrow to talk about the adventures of vibe coding!Donovan Hiland shared thisJoin Donovan for a conversation and demo around his experience building a fully functioning web MVP in 16 hours using purely AI prompts via Cursor.
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Donovan Hiland shared this🎉Donovan Hiland shared thisCome join us for a Utah Tech Week event at the Pelion Venture Partners office! Ravn, Mobly and Data Quality Co-op will be discussing the benefits of design-engineering alignment through design systems and component libraries. We'll have food and time for networking as well. See you there!
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Donovan Hiland shared thisDonovan Hiland shared thisWe are super excited to share our first Figma community project! Our team wanted a better way to visualize, organize and plan social media posts in Figma and this is the result. We hope others find it useful and would love to hear your feedback! ⬇️ Checkout the link below to get your own copy ⬇️ https://lnkd.in/eh2y6Xh2 #ravn #ravnxp #softwaredevelopment #uxui #figma #community #marketing #socialmedia
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Donovan Hiland shared thisDonovan Hiland shared thisRavn is looking for someone to come in and help lead our design efforts. Check it: https://lnkd.in/gm7xmeF
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Donovan Hiland liked thisDonovan Hiland liked thisI've worked with 252 companies running on legacy tech. Same conversation every time. They know the stack is holding them back. They hesitate anyway. I don't fault the hesitation. For twenty years, modernization meant a two-year roadmap, a seven-figure budget, and a coin flip on whether it shipped. But here's the flaw almost all have today: They're using legacy math to evaluate legacy tech debt. The math changed. Nobody updated the spreadsheet. With agentic software development, an agent maps a decade-old codebase in hours. It documents the systems nobody left on the team can explain. It migrates and tests in parallel instead of one painful module at a time. Years of roadmap compressed into months with better outcomes. If you're sitting on a heap of tech debt, let's talk.
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Donovan Hiland liked thisDonovan Hiland liked this🚀 Google Gemini 2.0 Flash: A Glimpse Into AI-Powered Diagnosis ? Google’s Gemini 2.0 Flash Realtime just delivered an impressive performance on a CT Abdomen case, correctly identifying acute pancreatitis and even flagging potential complications. Its accuracy was nothing short of remarkable. 🔍 Now, imagine a version optimized specifically for medical imaging. The impact on doctors, trainees, and patients could be revolutionary. While this wasn’t the most complex case—and my questions were fairly basic—the potential here is staggering. ⚠️ Caveat: Initially, Gemini refused to answer medical queries until I clarified it was just an exploratory test. It also tripped up on some simpler questions, as expected. But even with its current limitations, this is a game-changer in the making. 💭 What do you think—could AI transform medical diagnostics ? #AI #Scientific #Medical #Technology #Robotics
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Donovan Hiland liked thisDonovan Hiland liked thisToday, we want to honor the amazing fathers on our Ravn team who inspire us every day. They not only help shape the future of technology but also provide unwavering support and love to their families. Their dedication to excellence, both at work and at home, sets a powerful example for all of us. Happy Father's Day to our Ravn dads! 🎉
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Donovan Hiland liked thisDonovan Hiland liked thisBig announcement regarding Alpyne coming next week. Stay tuned....
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Donovan Hiland liked thisDonovan Hiland liked thisThe Ravn design team has been working on something pretty exciting. We love finding new ways to be more efficient and effective as a team. This project unites two tools we're passionate about and will help us build better products faster. Nice work team! #ravn #design #figma #mantine https://lnkd.in/guPtpPFC
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Donovan Hiland liked thisDonovan Hiland liked thisOpenAI's median total compensation package for a Software Engineer is $900k, just shy of a million dollars. The catch is that instead of traditional equity grants, OpenAI issues Profit Participation Units (PPUs). OpenAI distinguishes itself from the majority of startups by providing PPUs to its employees instead of traditional stock options. To put it simply, while exercising options grants ownership to a portion of the company itself, PPUs represent ownership of a percentage of the company's *profits*. The basis for PPUs are Profit Interest Units (PIUs), which you can think of as an entitlement to a percentage of the profits based on however many PIUs exist (similar to the total outstanding shares). As an example, if you own 1 PIU and there exist a total of 100 PIU’s, you are entitled to 1% of the profits of the company. OpenAI has also offered liquidity for the PPUs its issued to employees via tender offers such as the one earlier this year in January (though there is a 2-year lock up period). We've published a blog post with the full scoop on OpenAI's offer structure, how it works, and its constraints: https://lnkd.in/gQX3GfwN The below offer is a standard package for an L5 engineer at OpenAI. View more OpenAI compensation data points here: https://lnkd.in/gEfa7gCb #offer #offerletter #compensation #salaries #salarytransparency #data
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