Fresh from the WeAreDevelopers World Congress stage, CEO Prashanth Chandrasekar and CPTO Jody Bailey share their vision for the future, including keeping vital communities like ours thriving. Explore how we're realigning our identity, cultivating community for the future, and our latest product updates here: https://lnkd.in/gmx6dBDd
About us
Stack Overflow's public platform serves 100 million people every month, making it one of the 50 most popular websites in the world. Founded in 2008, Stack Overflow’s public platform is used by nearly everyone who codes to learn, share their knowledge, collaborate, and build their careers. Our products and tools help developers and technologists in life and at work. These products include Stack Overflow for Teams, Stack Overflow Advertising, and Stack Overflow for Talent. Stack Overflow for Teams, our core SaaS collaboration product, is helping thousands of companies around the world make the transition to remote work, address business continuity challenges, and undergo digital transformation. Whether it’s on Stack Overflow or within Stack Overflow for Teams, community is at the center of all that we do.
- Website
- https://stackoverflow.co/
External link for Stack Overflow
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- New York, NY
- Type
- Privately Held
- Founded
- 2008
- Specialties
- Software Engineering, Q&A, Communities, Knowledge Management, Knowledge Sharing, and Software Development
Locations
- Primary
110 William Street
New York, NY 10038, US
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Bentima House
168-172 Old Street
London, EC1V 9BP, GB
Employees at Stack Overflow
Updates
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We're making Stack Overflow for Teams better than ever with more stability and integration. Our newest release is designed to help your teams stay informed, secure, and efficient as they scale, keeping your knowledge-base right at your fingertips with improvements like better API boundaries, personalized insights, and LangChain compatibility: https://lnkd.in/eUyQtrMQ
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🎙️ We welcome Illia Polosukhin, co-author of the original Transformers paper and co-founder of NEAR Protocol, to chat about his perspective as an early innovator of machine learning, the impact of the Transformers model, and the importance of decentralized AI. https://lnkd.in/ep9Q94ZP
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We're live from Paris! 🇫🇷 Today our CEO Prashanth Chandrasekar will take the stage at RAISE Summit for a fireside chat on how #AI is impacting the careers of the next generation of developers, the necessity of trusted and verified data in building innovative and forward thinking technology, and how Stack Overflow is committed to building a new era in the practice of socially responsible AI. Learn more: https://lnkd.in/eBteN3pj
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We're always experimenting with new ways to engage our community beyond traditional Q&A. Enter Coding Challenges, an inclusive, fun, and creative space for technologists of any experience level! Celebrate the winners of our first challenge and explore how we built it: https://lnkd.in/eNEZDfsV
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🎙️ Matt DeBergalis, CTO at Apollo GraphQL, joins the podcast to discuss the evolution of API orchestration, GraphQL's integration with AI and modern development stacks, and enhancing developer experience with better tooling. https://lnkd.in/ed_VWHQi
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🎙️ Jon Skeet, one of Stack Overflow's first users with a million reputation points, joins the podcast to discuss the complicated problem of timezones, the importance of clear code documentation, and the need for improved developer communication skills. https://lnkd.in/ewErWHXb
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Human knowledge fuels innovation – even in an AI-driven world. We applaud Cloudflare for giving control back to content creators, supporting socially responsible AI practices that compensate the communities that LLMs are trained on. Learn more about this new business model which gives creators tools to protect their content in MIT Technology Review: https://lnkd.in/eSU5wREE
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Many think of LLMs as "dream machines" capable of generating new and surprising solutions to our problems, but their non-determinism also makes them inconsistent – a problem for enterprises. Ryan Donovan explores how organizations can create reliability in their unreliable LLMs. https://lnkd.in/eSHF_cHt
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💡 Building the next super-powered AI or just experimenting with an AI application? We've got your data covered. Get access to three sample datasets from Stack Overflow to evaluate the effectiveness of your AI solutions – from logic and reasoning, to code and cloud technology. Check out how human-verified data can transform your AI applications today: https://lnkd.in/eS9aQKqP
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