
Plausible.io
Google Analytics
Simple Analytics
Matomo
umami
Clicky
Mixpanel
Simple, trustworthy website analytics (finally)

Devin by Cognition
GitHub Copilot
Cursor
Codex by OpenAI
Jules
Claude Code
Ara.so
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.

Which is more popular?
Based on our record, Fathom Analytics seems to be more popular. It has been mentioned 67 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | usefathom.com | sinatra.dev |
| Pricing | ||
| Company | Startup from Canada | β |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Fathom Analytics 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...
What each product offers, as listed by its team.


Possible disadvantages
Walkthroughs and reviews on video.
FATHOM ANALYTICS REVIEW π INSTALL πΈ $100 (OPEN SOURCE)
More videos
Sinatra demo: GitHub issue to pull request, end to end (22 seconds)
More videos
How often each product is chosen within a category, 0β100% relative to the other.


As answered by people managing Fathom Analytics and Sinatra.dev.
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.
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.
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.
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.
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.
Share your experience with using Fathom Analytics and Sinatra.dev. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


This differentiates Fathom Analytics from alternatives that collect vast amounts of customersβ personal information.
Fathom Analytics is known for its emphasis on privacy, providing website analytics without invasive tracking methods. It maintains user data integrity, ensuring compliance with regulations like GDPR.
We have no reviews of Sinatra.dev yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


AI referrals are human visits whose browser sends a recognizable AI-tool referrer. Fathom's current site says teams can explore AI referrals and filter the dashboard to see what those visitors do. Give it credit for that; this is no... - Source: dev.to / about 2 months ago
So this post is about something I've been chewing on for months but finally moved on: ripping Google Analytics out of three side projects and picking a privacy-focused alternative. Specifically, I'll compare Umami, Plausible, and Fathom... - Source: dev.to / 6 months ago
Fathom is the most "premium" option. No self-hosted version β it's a paid product, and they lean into that. The upside is it just works, with excellent uptime and performance. - Source: dev.to / 7 months ago
Tracking Sinatra.dev since Sep 2026.
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