
OpenGrok
GitHub
Etsy Hound
GitHub Copilot
Tabnine
Cody AI
Codeium
The context layer for your entire codebase

Midjourney
Higgsfield
Leonardo.Ai
OpenArt
KLING AI
Magnific
Ideogram
Explore millions of AI generated images and create collections of prompts. Featuring Stable Diffusion generations.

Which is more popular?
Based on our record, Sourcegraph seems to be a lot more popular than KREA. While we know about 37 links to Sourcegraph, we've tracked only 3 mentions of KREA.
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | sourcegraph.com | search.krea.ai |
| Pricing | — | |
| Company | 2013 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Empower agents and developers to make faster decisions, improve AI-generated code, and execute code changes at scale.
No description of KREA yet.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of KREA yet.
Walkthroughs and reviews on video.
https://www.youtube.com/watch?v=tkaVq2c7-2w
More videos
Necta Krea Office Coffee brewer Review 2019!
More videos
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Sourcegraph and KREA.
Sourcegraph's answer
Quinn Slack and Beyang Liu founded Sourcegraph in 2013. They met at Stanford and later worked together at Palantir, where they saw how hard it was for developers to understand large enterprise codebases. Engineers at Google had strong internal code search, and almost nobody else did. Sourcegraph set out to give every company that ability. It started as universal code search, grew into code intelligence and large-scale automated changes, and now provides the context layer for AI agents. The pitch has stayed the same throughout: AI makes it faster to write code, which makes knowing what’s in your codebase more important, and Sourcegraph is the source of truth for that code.
Sourcegraph's answer
Sourcegraph's answer
Most alternatives are tied to one code host or are coding assistants that only see the repo in front of them. Sourcegraph sits beneath those tools rather than replacing them. It makes Claude Code, Cursor, Copilot, and Codex more accurate by giving them context from the whole codebase.
Sourcegraph's answer
Large engineering organizations with big, sprawling codebases spread across many repos and code hosts, often in regulated industries like financial services. The buyers are the VP of Engineering (productivity and AI ROI), the Head of Platform/DevEx (developer tooling, migrations, agent infrastructure), and the CISO (finding vulnerabilities and fixing them across the codebase). Day-to-day users are developers, platform teams, and increasingly AI agents.
Sourcegraph's answer
The MCP Server gives the same context to whatever AI agents a team already uses, and Agentic Batch Changes turns a plain-language request into pull requests across hundreds of repos.
Share your experience with using Sourcegraph and KREA. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


We have no reviews of Sourcegraph yet. Be the first one to post
Total: out of 100, and under it the same tool's total on the full test (135 photos, the three tools we ran there). Opus 5.5 judge: 0–10, with the full test's score under it. Needs a plan?: whether a monthly...
Krea also includes node-based workflows for more structured image and video processes. Its workflow agent can help construct pipelines from natural-language instructions.
Recommendations tracked on public social media and blogs since March 2021.


The setup is one prompt long. You tell the agent to install Sourcegraph for semantic code search or xerj.org for patch and impact analysis. From that point it runs unattended:. - Source: dev.to / 3 months ago
Sourcegraph | Remote | Full-Time | SWE, Tech Lead, Agent Engineer, Product Manager, Product Marketing Manager | https://sourcegraph.com Sourcegraph is building the context layer for AI-powered software development. As AI accelerates code... - Source: Hacker News / 3 months ago
Sourcegraph | San Francisco | Full-Time | SWE, Design Engineer, Forward Deployed Eng, Head of Design, Solutions Eng, Dev Advocate (all roles write code) | https://sourcegraph.com Sourcegraph is hiring SWEs and FDEs for Amp... - Source: Hacker News / over 1 year ago
I used these before Https://lexica.art/ Https://search.krea.ai/. Source: over 3 years ago
I have not written a post yet because I still want to work on other things (e.g. Community feed, automatic image ranking, integration with search.krea.ai, etc) before announcing it on Reddit “officially”, but I'd love to get some early... Source: over 3 years ago
KREA | https://krea.ai/ | Founding Engineer | Full time, in-person (San Francisco, CA) KREA is building the next-generation image-editing tool that runs in your browser and is powered by AI. We believe that WebGL + WebGPU + the new... - Source: Hacker News / over 3 years ago
When comparing Sourcegraph and KREA, you can also consider the following products.

OpenGrok is a fast and usable source code search and cross reference engine.
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Midjourney lets you create images (paintings, digital art, logos and much more) simply by writing a prompt.
Compare Midjourney to Sourcegraph or KREA:

Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
Compare GitHub to Sourcegraph or KREA:


Hound is an extremely fast source code search engine.
Compare Etsy Hound to Sourcegraph or KREA:
