Based on our record, Vercel seems to be a lot more popular than bloop. While we know about 537 links to Vercel, we've tracked only 9 mentions of bloop. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
If you don’t have a Vercel account already, visit the Vercel website and create a free account. - Source: dev.to / 2 days ago
The errors were frustrating, and a friend suggested switching to Vercel. Even on Vercel, I faced troubleshooting issues. Here are a few examples of my errors:. - Source: dev.to / 1 day ago
Meanwhile, having used React.JS for some time in my personal and team projects, I enjoy working with React. It offers simplicity and is beginner-friendly. It is easy to understand. From my experience, React applications can easily be hosted to free hosting platforms like Vercel. - Source: dev.to / 7 days ago
Vercel: Performance-focused platform with global edge network and serverless functions (optional).vercel. - Source: dev.to / 9 days ago
Production Ready: Ready for deployment, comes with configuration for production. Start deploying to Railway.app, Vercel.com, render.com etc. - Source: dev.to / 10 days ago
In this blog post, I’ll be comparing 3 distinct AI-first code search tools I recently came across: Cody (developed by late-stage startup, Sourcegraph), SeaGOAT (an open-source project that was trending on HN last week), and Bloop (an early-stage YC startup). I’ll be evaluating them along the dimensions of user-friendliness as well as their accuracy. - Source: dev.to / 9 months ago
If you're confused about any of the code snippets above, you can check out bloop.ai and phind.com (along with its VSCode extension) to answer any of your questions about the repository, noting that both have free plans. - Source: dev.to / 10 months ago
Bro let me turn your life inside out: https://bloop.ai. Source: about 1 year ago
GPT4: Ok, here you go - https://bloop.ai/. Source: over 1 year ago
We've invested a lot into helping LLMs reason and explain large codebases. We use a hybrid approach of local models for semantic search and a mix of OpenAI and Anthropic's models for language output and summarisation. We're two years in but everything still feels super early given how quickly the fundamentals are improving. Would love your feedback - https://bloop.ai. - Source: Hacker News / over 1 year ago
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