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17Lands Client VS Sinatra.dev

Compare 17Lands Client VS Sinatra.dev 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
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Sinatra.dev

A background coding agent for your backlog. Assign a Linear issue, label a GitHub issue or mention it in a Slack thread; it writes the change in an isolated sandbox, runs your tests and opens a pull request. Free: 1 agent at a time, plus 1 waiting.

Rating
0 reviews
Pricing
Freemium $20 / Monthly (Per workspace, any number of people)
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Zentivue
Zentivue drafts social posts, emails and blogs every week in each client's own voice. You review and approve every draft. Built for one brand or many. sponsored
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 seems to be more popular. It has been mentioned 82 times since March 2021.

social mentions
82 vs 0
MTG popularity
100% vs 0%
alternatives listed
6 vs 9

Base details

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

17Lands Client
Sinatra.dev
Website 17lands.com sinatra.dev
Pricing —
Freemium $20 / Monthly (Per workspace, any number of people) Official pricing
Listed in
Marketing Platform Sports Event Management MTG +1
AI Coding AI Developer Tools Developer Tools AI Coding AI Agents AI Tools +4

About 17Lands Client and Sinatra.dev

In their own words, as submitted to SaaSHub.

17Lands Client
Sinatra.dev

No description of 17Lands Client yet.

Sinatra is a background coding agent for teams on Linear, GitHub and Slack. Assign a Linear issue to Sinatra, add the sinatraai label to a GitHub issue, or mention @Sinatra in a Slack thread, and it works the request in an isolated cloud sandbox: it reads the code, writes the change, runs your...

Read more about Sinatra.dev

Features and specs

What each product offers, as listed by its team.

17Lands Client 5 features
Sinatra.dev 6 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.
  • Linear, GitHub and Slack
    Assign a Linear issue to Sinatra, add the sinatraai label to a GitHub issue, or mention @Sinatra in a Slack channel. In Slack it works in that thread and posts its progress there.
  • Isolated sandbox per task
    Each task gets its own cloud sandbox with your repo cloned in, behind an audited egress proxy with short-lived, scoped repo tokens.
  • Tests and self-review
    It runs your test command and reviews its own diff before marking the pull request ready for you.
  • Fixes CI and review feedback
    When CI fails or a reviewer requests changes, it pushes fixes to the same branch. A human always merges.
  • Your own model access
    Runs on your Claude or ChatGPT subscription, or an Anthropic or OpenRouter API key. Sinatra never bills for model usage.
  • CLI, MCP server and API
    Start and follow tasks from your terminal (npm i -g sinatra.dev), from claude.ai, Claude Code, Cursor or ChatGPT over MCP, or from a script with the HTTP API.

Videos

Walkthroughs and reviews on video.

17Lands Client 0 videos + Add
Sinatra.dev 2 videos + Add

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

Sinatra demo: GitHub issue to pull request, end to end (22 seconds)

More videos

  • - Sinatra demo: Linear issue to pull request (21 seconds)

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
Sinatra.dev
100% 100%
MTG
0% 0%
0% 0%
Developer Tools
100% 100%
100% 100%
Marketing Platform
0% 0%
0% 0%
AI Developer Tools
100% 100%

Questions & Answers

As answered by people managing 17Lands Client and Sinatra.dev.

How would you describe the primary audience of your product?

Sinatra.dev's answer:

Small engineering teams and solo founders with a backlog of well specified tickets they never get to: reproducible bugs, small features with acceptance criteria, the work that is clear enough to hand off but keeps getting pushed behind bigger things. Teams already working out of Linear, GitHub Issues or Slack who don't want another tool to learn, and who would rather run agent work on the Claude or ChatGPT subscription they already have than open a new metered account somewhere else.

What's the story behind your product?

Sinatra.dev's answer:

I built a pet sitting marketplace with my wife. She always had features she wanted shipped and every one of them went through me, so I spent about three months building an agent she could assign tickets to instead. She writes the ticket, assigns it, and a PR comes back. She's now a big contributor to that codebase without me being in the way. I started handing it my own backlog too and eventually it turned into a product. It has been a lot harder to build than I expected, lots of edge cases, which is why it started with just Linear and GitHub issues (Slack, a CLI and an MCP server came later) and why the agent doesn't merge its own PRs, you still do that last part yourself.

Which are the primary technologies used for building your product?

Sinatra.dev's answer:

TypeScript throughout. A Fastify API for webhooks and OAuth, a Temporal worker that orchestrates each agent run, Next.js for the dashboard and the site, and Prisma on Postgres. Every task gets its own Daytona sandbox with the repository cloned in; the sandbox stops when the task goes quiet and is reused for follow-ups. Model access is bring your own: an Anthropic or OpenRouter API key, or a Claude or ChatGPT subscription connected to the workspace.

What makes your product unique?

Sinatra.dev's answer:

It runs on the model subscription you already pay for. You assign a Linear issue, label a GitHub issue or mention it in Slack, the agent does the work in its own isolated sandbox and comes back with a pull request, and the model bill goes to your own Claude or ChatGPT subscription or API key. Sinatra never bills for model usage. The free plan is 1 agent at a time, plus 1 waiting, with no daily limit and no card. Pricing was the reason we built it in the first place, the agents we tried billed in credits you couldn't predict.

Why should a person choose your product over its competitors?

Sinatra.dev's answer:

Pricing and entry points. Plans are one flat monthly price for the whole workspace, any number of people: Pro is $20/mo for 3 agents at a time, plus 10 waiting, agents work until they're done, and inference runs on your own Claude or ChatGPT subscription or API key, so Sinatra never bills for model usage. And it works from Linear issues, GitHub issues and Slack threads, so a team whose tickets live in Linear can assign work to the agent the way they'd assign a teammate. It also reviews its own diff and posts the findings on the PR, fixes failing CI, and pushes revisions when a reviewer leaves comments. To be honest about the limits, it doesn't work from Jira, and the agent never merges its own PRs, a person does that.

User comments

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Social recommendations and mentions

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

17Lands Client 82 mentions
Sinatra.dev 0 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

Tracking Sinatra.dev since Sep 2026.

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