Software Alternatives & Startups

Keelen VS git-sizer

Compare Keelen VS git-sizer and see what are their differences

Keelen

An autonomous coding loop: it plans tasks from your roadmap, writes code in isolated VMs on your own Claude, Codex, GLM, or Kimi key, and ships tested PRs.

Rating
0 reviews
Pricing
Paid Free trial $29 / Monthly (Indie, 200 iterations, 3 projects)
git-sizer

Compute various size metrics for a Git repository, flagging those that might cause problems - github/git-sizer

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, git-sizer seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
0 vs 1
AI Developer Tools popularity
100% vs 0%

Base details

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

Keelen
git-sizer
Website keelen.ai github.com
Pricing
Paid Free trial $29 / Monthly (Indie, 200 iterations, 3 projects) Official pricing
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Company 2026 —
Listed in

About Keelen and git-sizer

In their own words, as submitted to SaaSHub.

Keelen
git-sizer

Keelen is an autonomous coding loop: an AI development team that runs against your GitHub repository around the clock. It turns free-form requests into a prioritized roadmap, breaks roadmap items into dev-ready tasks with acceptance criteria, implements each task in an isolated single-use VM...

Read more about Keelen

No description of git-sizer yet.

Features and specs

What each product offers, as listed by its team.

Keelen 0 features
git-sizer 5 features

No features have been listed yet.

  • Comprehensive Repository Analysis
    git-sizer analyzes many different dimensions of a Git repository including commit count, tree size, blob size, history depth, and reference counts, providing a holistic view of repository health and potential scaling issues.
  • Easy to Use
    The tool is simple to run with minimal setup—just execute it within a git repository—and it produces clear, human-readable output that highlights potential problem areas without requiring complex configuration.
  • Identifies Performance Bottlenecks
    It helps identify specific issues that could degrade Git performance, such as excessively large blobs, deep history, large trees, or too many references, which is valuable before migrating or scaling repositories.
  • Open Source and Maintained by GitHub
    Being an official GitHub project, it benefits from credibility, community trust, and ongoing maintenance, and it is well documented with clear explanations of what each metric means.
  • Useful for Pre-Migration Checks
    It's particularly helpful for teams migrating repositories to new platforms or consolidating repos, as it flags potential issues that could cause problems during migration or with hosting providers' limits.

Possible disadvantages

  • No Automatic Remediation
    git-sizer only identifies and reports issues but does not offer any built-in tools or automated processes to fix problems like large blobs or excessive history depth—users must use separate tools like BFG Repo-Cleaner or git-filter-repo.
  • Output Can Be Overwhelming for Beginners
    While detailed, the output includes many metrics and threshold levels that may be confusing for users unfamiliar with Git internals, requiring some learning curve to fully interpret results.
  • Limited to Local Analysis
    The tool analyzes a local clone of the repository, so it requires users to have a full local copy of the repo (or at least enough history) to get accurate results, which can be time-consuming for very large repositories.
  • No Real-Time Monitoring
    It functions as a one-time analysis tool rather than providing continuous or real-time monitoring of repository health, requiring manual reruns to track changes over time.
  • Command-Line Only Interface
    The tool lacks a graphical user interface, which may be less accessible for users who prefer visual dashboards or are less comfortable with command-line tools.

Analysis

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

Keelen
git-sizer

No analysis of Keelen yet.

Overall verdict

  • git-sizer is a solid, focused open-source tool that effectively analyzes Git repositories to identify size and structural issues that could cause performance problems or hosting limits, making it a valuable diagnostic utility for repository maintenance.

Why this product is good

  • Quickly identifies large blobs, deep histories, and other repository bloat issues that impact performance
  • Simple command-line tool with no complex setup or dependencies required
  • Provides clear, actionable metrics about repository size and structure
  • Backed by GitHub, ensuring credibility and ongoing relevance to Git ecosystem needs
  • Helps proactively catch issues before they cause problems with hosting platforms or clone/fetch performance
  • Open source and actively maintained with community input

Recommended for

  • Repository administrators managing large or growing codebases
  • Teams migrating repositories to new hosting platforms with size limits
  • Developers troubleshooting slow clone, fetch, or checkout operations
  • DevOps engineers auditing repository health before major infrastructure changes
  • Organizations enforcing repository size policies or best practices
  • Anyone dealing with repositories that have accumulated large binary files or excessive history over time

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
Keelen
git-sizer
100% 100%
0% 0%
0% 0%
Git
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing Keelen and git-sizer.

What makes your product unique?

Keelen's answer

Keelen works from a standing roadmap rather than from a prompt. It picks its own next task, implements it in an isolated single-use VM, and puts every change through five verification gates before merge: a red-first test proof (tests born green are rejected), an independent adversarial review of the diff by a model that shares no context with the run that wrote it, the project's own test suite on a clean checkout, a CI-green requirement at merge time, and a review window before gated auto-merge. The loop may never weaken a check to get to green. It runs on your own Claude, Codex, GLM, or Kimi key, so token usage bills to your provider account at cost with zero markup.

Why should a person choose your product over its competitors?

Keelen's answer

Keelen is not an IDE copilot and not a prompt-driven chat agent, so it does not need you present at the keyboard to make progress. Two differences matter most. First, verification is enforced rather than suggested: a new test must fail without the implementation and pass with it, an independent model reviews the diff adversarially, and the loop may never weaken a check to reach green. Second, you bring your own model key, so model spend stays on your own provider bill at cost and the Keelen tier stays a flat monthly price with zero token markup. Human control is configurable per project: plan review before any code is written, manual merge, or branch-only where Keelen never opens a pull request.

How would you describe the primary audience of your product?

Keelen's answer

Solo developers, indie hackers, and small product teams who already pay for a Claude, Codex, GLM, or Kimi plan and want that capacity turned into merged pull requests while they work on something else. Agencies running several client repositories use the higher tiers for per-project isolation, more concurrent runs, and seats. Keelen suits people who keep a roadmap and want work picked up from it continuously, rather than people who want line-by-line completion inside an editor.

What's the story behind your product?

Keelen's answer

Keelen was founded in 2026 by Jamie Keelen. It grew out of a simple observation: coding models had become good enough to write the change, but not good enough to be trusted with merging it. The hard part was never generation, it was verification. So Keelen was built around gates instead of prompts. Keelen's own repository runs on the loop. The same gates, reconcilers, and recovery paths that customers get are the ones that ship Keelen itself, which means a weakness in the loop shows up as a failure in Keelen's own pull requests before it reaches anyone else.

Which are the primary technologies used for building your product?

Keelen's answer

The coding work itself is done by the model you connect: Anthropic Claude via Claude Code, OpenAI Codex, Zhipu GLM 5.2, or Moonshot Kimi K3. Keelen is the loop around them. Each iteration runs in an isolated single-use, non-root VM that is destroyed when the run ends, with network egress deny-by-default through a proxy. Repository access goes through the official GitHub App, using per-run tokens scoped to a single repository for about an hour and with no permission to modify CI workflows. Keelen also exposes a hosted MCP server, so the loop can be driven from any MCP client. The projects it works on span TypeScript and JavaScript, Python, Go, Rust, C and C++, Godot, and Roblox.

User comments

Share your experience with using Keelen and git-sizer. 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.

Keelen 0 mentions
git-sizer 1 mention

Tracking Keelen since Jul 2026.

  • how to keep github repos small?
    Also there’s a cool project from GitHub you can use to help understand the size of git’s objects in your git repo https://github.com/github/git-sizer. This might help you determine what the best cloning strategy could be. Source: almost 5 years ago

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