BridgeMe’s Post

Today, we're diving into the remarkable speed at which no-code development enables businesses to bring their ideas to market. ⏰🚀 With traditional coding methods, the development process can be time-consuming and labor-intensive. However, with no-code platforms like Devshired.ai, businesses can accelerate their time-to-market significantly. 💡✨ Join us as we explore real-world examples of companies that have leveraged no-code development to launch successful projects in record time. From startups releasing MVPs to enterprises rolling out new features, no-code development offers unparalleled agility and efficiency. 🌐💬 Stay tuned as we continue to uncover the transformative potential of no-code development throughout the week. Let's harness the speed and agility of no-code to drive innovation and stay ahead of the competition! #NoCodeSpeed #TimeToMarket #DevshiredInnovation 🌟🚀

Meet the cofounders of our *latest* investment: Edward Daniel and Ben W. who are building PureCode AI 🚀 Havent heard of it? We’ll bring you up to speed on why we love the problem they’re solving. PureCode is an AI-powered developer tool that enables engineers to rapidly generate front-end UI components from text prompts, significantly reducing coding time and boosting productivity for faster product development cycles. From Edward and Ben's experience running a software agency, they understood the cumbersome and time-consuming process required to develop software applications. PureCode was founded on the premise that the front-end coding process could be automated with artificial intelligence. Want to learn more about the problem they're solving? Drop Edward Daniel a line to say hello. Welcome to the LOI Venture portfolio family, PureCode AI 🎉 #artificialintelligence #startups #innovation

Cognition is raising the bar!!! #Devin is basically capable of handling entire development projects from start to finish; i.e. writing code, fixing bugs, or executing projects. It's massively outperforming existing models with clear ability to resolve real-world #GitHub issues end-to-end 🤯 They raised $21 million in Series A led by Peter Thiel's Founders Fund, and also with significant investment from industry giants like Elad Gil, Tony Xu... they're clearly on to something 🙌 I think the launch of Devin is a huge step towards literally redefining software engineering! Check it out: https://lnkd.in/dviZcrgn #ai #aiassistant #aiassistants #artificialintelligence #cognition #innovation #softwareengineering #startupfunding #coding #vcfunding #startup #venturecapital #devin

PythonMate's early-stage startup strategy: Focus on solving real problems, Keep overhead low, Test quickly, Gather feedback. Once product-market fit is found, PythonMate scales with precision.

🚀 Last week, we kicked off the introductions for this year’s 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐓𝐚𝐥𝐞𝐧𝐭 𝐏𝐫𝐨𝐠𝐫𝐚𝐦, and now it’s time to dive into the second exciting project! 🌟 This week, we’re thrilled to highlight Bigram Ventures Inc., a dynamic venture studio from Harvard Innovation Labs. Bigram Ventures is all about empowering veterans through entrepreneurship and cutting-edge technology. By utilizing federal programs like the Small Business Innovation Research (SBIR) program, Bigram Ventures connects underutilized technologies with veteran founders, creating opportunities to build innovative startups. Their mission is to support U.S.-based manufacturing, launch new businesses, and provide meaningful careers for veterans. 🇺🇸💼 🎯 𝐓𝐡𝐞 𝐠𝐨𝐚𝐥 𝐨𝐟 𝐭𝐡𝐞 𝐁𝐢𝐠𝐫𝐚𝐦 𝐕𝐞𝐧𝐭𝐮𝐫𝐞𝐬 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐢𝐬 𝐭𝐨: • Develop a data scraping and processing platform enhanced by AI 🤖 • Create a web platform for users to search, organize, and easily access the data 🔍 • Streamline user experience, making data management smooth and intuitive 💻 • Implement automated CI/CD pipelines integrated with Azure to streamline deployment and ensure seamless updates across the platform 🔄🚀 🙌 Huge shoutout to the talented team behind this project: Mateusz Luberda, Jonasz Trocha & Michal Klatkowski 👨🏫 𝐌𝐞𝐧𝐭𝐨𝐫𝐬: Michał Czerwiński & Jakub Stasiewski 🛠️ 𝐌𝐚𝐢𝐧 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐮𝐬𝐞𝐝: Next.js, typescript, .net, C#, Python, Selenium We can't wait to see how this project will make a difference! 🚀🌍 #innovation #harvard #harvardinnovationlabs #healthtech #collaboration #talentprogram

𝐈 𝐛𝐮𝐢𝐥𝐭 𝐚 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐢𝐧 𝐥𝐞𝐬𝐬 𝐭𝐡𝐚𝐧 𝟒 𝐡𝐨𝐮𝐫𝐬 𝐭𝐡𝐢𝐬 𝐰𝐞𝐞𝐤 𝑩𝒖𝒕 𝑰’𝒎 𝑵𝑶𝑻 𝒂 𝒅𝒆𝒗𝒆𝒍𝒐𝒑𝒆𝒓 HOW? The new software coding and AI products are 🔥 I designed, wireframed, & built it all by myself DM me if you wanna know my tech stack #startups #product

Smart! Rather than trying to compete in a crowded marketplace of companies building AI to generate code (and doing a questionable job), Greptile is building an AI that understands the entire context of your codebase. You can then build tools with its API to do really cool things like: - review pull requests - update documentation - auto complete pull requests, etc. Check out their website for some cool examples. The company says Greptile can used via the cloud, or be hosted 100% on your AWS in an air-gapped VPC. Congrats to Daksh Gupta, Soohoon C., and Vaishant Kameswaran!

CodeRabbit Secures $16M to Revolutionize Code Review #DebuggingRevolution AI startup CodeRabbit Inc. has raised $16 million in Series A funding, led by CRV, to revolutionize the code review process for developers. The platform, lauded for its AI-powered code analysis, offers precise, context-aware feedback, drastically reducing manual efforts compared to traditional static analysis tools. Already a favorite on GitHub and GitLab, CodeRabbit is expanding its capabilities to include advanced security features and integrations with platforms like Jira and Slack. With a strong foothold in SMEs, CodeRabbit is now eyeing Fortune 500 enterprises. Is AI the future of flawless code? #CodeRabbit #AIinTech #SoftwareDevelopment #Saasverse

#Coding copilots are #invaluable for #earlystage startups navigating uncertainty around problems, customer needs, and ideal profiles. They enable rapid prototyping and iteration, allowing teams to learn faster and reaching product-market fit efficiently. At later stages, the focus shifts to #engineers optimizing architecture for scalability, security and performance. HITEC Angeles Investors GitHub Greylock Insight Ventures

Since I haven't shared much about Nimbus lately, I wanted to give an update. But for some context: before starting Nimbus, I was a staff engineer focused on core marketplace systems for a metals marketplace, with previous experience working at startups on things like SOAR, legaltech, etc. I started Nimbus in late 2023, when the AI landscape was still extremely frothy (still is, I suppose). Product engineers were working on things usually reserverd for ML/AI roles, and we initially thought they'd need better tools to bridge that gap. But as we spoke with more teams, we uncovered a different challenge: engineers were struggling to understand their existing systems and make changes confidently. We started by focusing on auto-updating technical documentation, thinking we could solve the eternal problem of stale docs. But we learned something important – even perfect documentation isn't enough. Engineers need different types of information at different times, whether they're designing new features or trying to understand system implications. That insight shifted our focus to RFC and technical design workflows, where we saw an opportunity to help teams better understand their systems. We've built tools to help visualize system architecture, integrate with existing tools like Figma and Miro, and manage the feedback process. Our goal is to help teams see the potential impacts of their changes and find relevant information without constant context switching - essentially making system understanding more accessible, even when you're not working with all components daily. Our first case study with a Series B startup has shown promising results. They're using a modern stack (Serverless Framework, AWS Lambda, TypeScript, Postgres+Prisma) in a microservices architecture, and have seen improvements in productivity and reliability, with fewer bugs making it to production. (Expecting to publish that in the next week!) We're now expanding our platform capabilities and looking at Kubernetes integration for our next phase, along with some AI-powered features to help teams anticipate downstream impacts of changes, get recommendations about what might be important to review, and more easily connect technical decisions to business data - all while keeping context-switching to a minimum. I suppose we should also update our website to reflect this new focus, as well! If you're interested in seeing a demo, joining our mailing list, or participating in our beta program, reach out to me at [email protected]. And you can follow us here on LinkedIn at https://lnkd.in/geFmB893