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Based on our record, Graphite Editor should be more popular than bloop. It has been mentiond 31 times since March 2021. 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.
We also collaborate with https://github.com/thorvg/thorvg and https://graphite.rs/. - Source: Hacker News / 2 months ago
There is also Graphite (https://graphite.rs/) which, unlike Gimp, has a modern architecture and very ambitious goals (Blender for 2D basically). - Source: Hacker News / 3 months ago
Not sure which web-based spreadsheet app you're talking about, because there are many that do use these frameworks. Here's a PS/AI clone built with a Svelte frontend: https://graphite.rs. - Source: Hacker News / 10 months ago
Wanted to contribute to a good Rust-based project last week, started searching and found a good Reddit thread featuring several great projects. Looked at and found Graphite. I liked the concept though I know almost nothing about graphic design. Source: 12 months ago
I'm currently trying to decide on the SD server to deploy with Graphite, both for running locally (with Tauri desktop builds) and for us to host on a server for users. Source: about 1 year 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 / 9 months ago
Bro let me turn your life inside out: https://bloop.ai. Source: 12 months 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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