Software Alternatives & Startups

17Lands Client VS Sourcegraph

Compare 17Lands Client VS Sourcegraph and see what are their differences

17Lands Client

The 17Lands Client uploads the Magic The Gathering Arena draft logs to the 17Lands website.

Rating
0 reviews
Sourcegraph

The context layer for your entire codebase

Rating
0 reviews
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, 17Lands Client should be more popular than Sourcegraph. It has been mentioned 82 times since March 2021.

social mentions
82 vs 37
MTG popularity
100% vs 0%
alternatives listed
6 vs 238

Base details

Website, pricing, platforms and company facts side by side.

17Lands Client
Sourcegraph
Website 17lands.com sourcegraph.com
Pricing —
Company — 2013
Listed in

About 17Lands Client and Sourcegraph

In their own words, as submitted to SaaSHub.

17Lands Client
Sourcegraph

No description of 17Lands Client yet.

Empower agents and developers to make faster decisions, improve AI-generated code, and execute code changes at scale.

Read more about Sourcegraph

Features and specs

What each product offers, as listed by its team.

17Lands Client 5 features
Sourcegraph 7 features
  • Data-Driven Insights
    17Lands provides detailed analytics and statistics that help Magic: The Gathering players make informed decisions about card selection and deck building.
  • User-Friendly Interface
    The client offers a clean and intuitive interface, making it easy for users to navigate through data and find the information they need.
  • Draft Improvement
    By analyzing win rates and other performance metrics, players can improve their draft skills and overall gameplay.
  • Community Support
    17Lands has a supportive community of users and developers who frequently share tips and insights, contributing to a collaborative learning environment.
  • Regular Updates
    The platform is regularly updated with new features and data to stay current with the latest Magic: The Gathering sets and trends.

Possible disadvantages

  • Limited to Arena
    The 17Lands client primarily supports Magic: The Gathering Arena, so players of the physical card game or other digital platforms might find it less useful.
  • Data Overload
    For new users, the sheer amount of data and statistics can be overwhelming, requiring time to familiarize themselves with its utility.
  • Requires Consistent Use
    To get the most out of 17Lands, users need to consistently upload and review their game data, which can be time-consuming.
  • Privacy Concerns
    Sharing game data might raise privacy concerns for some users, as it involves linking their gaming account with the 17Lands client.
  • Potential for Over-reliance
    Players might become overly reliant on the tool's recommendations and lose the creative aspect of personal strategy development.
  • Agentic Batch Changes
    Describe a change in plain language. The agent scopes it across your indexed codebase, applies it, and tracks it through to merge.
  • Deep Search
    An agent that reasons across your entire codebase to answer the kind of question you'd normally take to your most senior engineer.
  • Code Search
    Sourcegraph offers powerful, fast, and precise code search across large codebases, which helps developers quickly find references, definitions, or implementations.
  • Cross-Repository Search
    Allows searching across multiple repositories within the same interface, enhancing discoverability and productivity.
  • Integrations
    Sourcegraph integrates with popular code hosting platforms like GitHub, GitLab, Bitbucket, and more, providing a seamless experience.
  • Code Intelligence
    Supports advanced code intelligence features like hover tooltips, go-to-definition, and find-references, making code navigation easier.
  • Multi-Language Support
    Supports a wide range of programming languages and continuously adds more, catering to diverse development environments.

Analysis

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

17Lands Client
Sourcegraph

No analysis of 17Lands Client yet.

Overall verdict

  • Sourcegraph is generally regarded as a good tool for software development teams that need robust support for code search and analysis. It can significantly improve productivity and collaboration by making it easier to explore, understand, and manage code.

Why this product is good

  • Sourcegraph is a powerful code search and navigation tool that helps developers understand and manage large codebases efficiently. It offers features like precise code navigation, cross-repository searching, advanced code intelligence, and integrations with other development tools, which streamline the process of working with complex projects.

Recommended for

  • Large and complex codebases
  • Development teams working on multiple repositories
  • Organizations emphasizing code quality and maintainability
  • Developers seeking improved code navigation and search capabilities

Videos

Walkthroughs and reviews on video.

17Lands Client 0 videos + Add
Sourcegraph 2 videos + Add

No 17Lands Client videos yet. You could help us improve this page by suggesting one.

https://www.youtube.com/watch?v=tkaVq2c7-2w

More videos

  • - Introducing Agentic Batch Changes: the frontier agent for code change at scale

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
17Lands Client
Sourcegraph
100% 100%
MTG
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
Git
100% 100%

Questions & Answers

As answered by people managing 17Lands Client and Sourcegraph.

What's the story behind your product?

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.

Who are some of the biggest customers of your product?

Sourcegraph's answer:

  • 1Password
  • Indeed
  • Canva
  • Stripe
  • Dropbox
  • Hubspot
  • BlackStone
  • Mistral
  • Reddit
  • MathWorks

Why should a person choose your product over its competitors?

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.

How would you describe the primary audience of your product?

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.

What makes your product unique?

Sourcegraph's answer:

  • Coverage: it searches across all code hosts at once, including sub-branches, which GitHub’s native search can’t do.
  • Permissions: it syncs access rules from each code host, so people and AI agents only see code they’re allowed to see.
  • Two kinds of results: Code Search gives exact, repeatable matches, and Deep Search adds agentic investigation with cited sources.

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.

User comments

Share your experience with using 17Lands Client and Sourcegraph. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

17Lands Client 82 mentions
Sourcegraph 37 mentions
  • Investments
    Getting an average of 2-3 wins in Quick Draft is fairly decent for a new drafter. If you think you're learning at all, it's worth sticking with it to get better. You should be able to learn the fastest when you're starting out. In... Source: over 3 years ago
  • Where did I go wrong?
    The best thing to identify the best cards from fillers and bad cards is watcing the win rate stats in 17lands.com. Source: over 3 years ago
  • Ask r/Spikes || May 2023
    17lands.com has huge amount of data on every limited format that is available on Arena. Source: over 3 years ago

View more

  • A $60/Month VM Running an LLM Agent Now Does Autonomous Security Work
    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
  • Ask HN: Who is hiring? (August 2026)
    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
  • Ask HN: Who is hiring? (August 2025)
    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

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Alternatives to 17Lands Client and Sourcegraph

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