Efficiency
Bloop.ai offers AI-driven solutions that can automate and streamline processes, leading to increased efficiency and reduced manual effort.
Accuracy
With advanced algorithms, Bloop.ai can provide accurate predictions and insights, minimizing human error.
Scalability
The platform can easily scale to accommodate growing data and user needs, making it suitable for businesses of various sizes.
User-Friendly Interface
Bloop.ai features an intuitive user interface that makes it accessible for users with varying levels of technical expertise.
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Check the traffic stats of bloop on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
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Check the "Domain Authority" of bloop on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about bloop on Reddit. This can help you find out how popualr the product is and what people think about it.
🔍 4. Bloop.ai – Search across your codebase with AI. - Source: dev.to / about 1 month ago
Bloop: Semantic code search on your repo. - Source: dev.to / about 1 month 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 / over 1 year 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 / over 1 year ago
Bro let me turn your life inside out: https://bloop.ai. Source: almost 2 years ago
GPT4: Ok, here you go - https://bloop.ai/. Source: over 2 years 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 2 years ago
A couple of projects you can look at that might be good substitutes for what you’re asking for - https://www.codecomplete.ai/ - the OG code completion, mentions personalised models on their enterprise plan It’s also on the roadmap for us (AI code search not completions) https://bloop.ai/. - Source: Hacker News / over 2 years ago
Louis one of the cofounders here, happy to answer questions. We're combining AI code search, regex matching and precise code navigation in a lightweight desktop app that you can use with your local repos. We just released v0.2 yesterday which is the first proper release of the natural language search. We're using a bunch of new things under the hood, but the highlights are: Tantivy, Tauri, qdrant and Anthropic's... - Source: Hacker News / over 2 years ago
Bloop (YC S21) | https://bloop.ai/ | ML Engineer | London | Full Time At bloop, we’re building an in-IDE code search engine to make it easy for software engineers to find and share code. Today developers spend too much time scouring library documentation and open-source repositories looking for useful code. Our neural search engine automates this menial process, freeing up time for developers to focus on the most... - Source: Hacker News / over 3 years ago
Bloop (YC S21) | https://bloop.ai/ | ML Engineer, Sr. Software Engineer | London / REMOTE | Full Time At bloop, we’re building an in-IDE code search engine to make it easy for software engineers to find and share code. Today developers spend too much time scouring library documentation and open-source repositories looking for useful code. Our neural search engine automates this menial process, freeing up time for... - Source: Hacker News / over 3 years ago
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