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Fact sheet · DevOps & CI/CD

AutoChangelog logo

AutoChangelog

Changelogs that write themselves

Automatically generates customer-friendly changelogs from GitHub repositories by analyzing commits and pull requests with AI.

Overview

Screenshot of the AutoChangelog homepage
What autochangelog.com looks like

AutoChangelog automatically generates customer-friendly changelogs from your GitHub repositories. When you deploy code, the service analyzes your commits and pull requests using AI to create clear release notes that explain what changed and why it matters to your users.

The setup is simple: install the GitHub App, select repositories to track, and add a webhook to your CI/CD pipeline. When you deploy, AutoChangelog fetches your recent commits and pull requests, processes them through AI analysis, and creates a changelog entry. You can review and edit entries before publishing, or enable auto-publish for a fully automated workflow.

The service works with both public and private GitHub repositories and integrates with any CI/CD platform that can make HTTP requests. Generated changelogs are beautiful, branded, and include features like custom domains, RSS feeds, email notifications, and embeddable widgets for sharing with users.

Feature facts

  • AI-assisted generation from commits and pull requests
  • Automatic changelog generation on deployment
  • Review and edit entries before publishing
  • Custom domains with CNAME setup
  • Beautiful responsive templates with dark mode
  • RSS feed and email notifications
  • Manual changelog entry creation
  • Embeddable changelog widget
  • Password protection for private changelogs
  • Full API access

Pricing

Pricing model: Freemium

Free: $0/month (1 repository, up to 10 deployments per month, public changelog, custom domain, RSS feed, 5 templates, logo and colors). Pro: $14/month (1 repository, unlimited tracked deployments, advanced AI, custom domain, public or private changelog, embeddable widget, manual entries, RSS and ema

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AutoChangelog specifications

Specifications of AutoChangelog
SectionDevOps & CI/CD
Websiteautochangelog.com
Votes20

AutoChangelog metrics

Fact file for autochangelog.com: Ahrefs Domain Rating and Majestic link facts, each with the change since the last fact check.
MetricValue
Domain Rating34 −1 (down) since last check
Trust Flow13 no change since last check
Citation Flow28 no change since last check
Referring domains92 no change since last check
External backlinks1,447 no change since last check

Fact: Ahrefs Domain Rating checked 12 Nov 2026, fact changed 28 Oct 2026. Fact: top topic Computers/Open Source (13). Fact: Majestic checked 25 Oct 2026, fact changed 25 Oct 2026. Link facts from Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

AutoChangelog domain fact sheet

Open the fact sheet
Read from the public RDAP record on 12 Nov 2026, 15:21 UTC.
Domain age1 year
Registered
Expires
RegistrarNameCheap, Inc.
DNSSECNot signed

Every domain fact for autochangelog.com

AutoChangelog launch receipt sheet

What we have measured for AutoChangelog since it went live on SaaS Directory Info on 25 October 2026.

  • 34 Domain Rating (Ahrefs) −1 (down) since launch
    at launch: 35 (25 Oct 2026); latest: 11 Nov 2026
  • 13 Trust Flow (Majestic)
    first measured 25 Oct 2026
  • 92 Referring domains (Majestic)
    first measured 25 Oct 2026

Day 17 since launch. Next receipt: day 30, 24 Nov 2026. The figures report a change; they do not say what caused it, and many things can. No figure here is a guess.

Biggest gains on SaaS Directory Info

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Frequently looked up

Q1How does AutoChangelog work?
Install the GitHub App and select repositories to track. Add a webhook to your CI/CD pipeline or trigger it manually when you deploy. AutoChangelog fetches your recent commits and pull requests from GitHub, sends them to AI for analysis, and creates a changelog entry. You can review and publish entries from your dashboard.
Q2Do I need to write changelogs manually?
No. AutoChangelog reads your pull requests and generates changelog entries automatically using AI. You can review and edit them before publishing, but you never have to start from scratch.
Q3Can I edit the generated changelogs?
Yes. Every generated entry can be reviewed and edited before publishing. You have complete control over what gets published to your changelog. You can choose auto-publish for speed or review mode for oversight.
Q4Does AutoChangelog work with private repositories?
Yes. AutoChangelog works with both public and private GitHub repositories. You grant access through GitHub OAuth with the permissions you choose, and the service only needs read-only access to your code.
Q5What is the difference between draft and auto-publish modes?
In draft mode, generated entries are saved as drafts for you to review before publishing. With auto-publish enabled, entries are published immediately when generated. You can choose either mode per repository in your settings.

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More on this profile

AutoChangelog has a free listing. The owner can unlock the full profile with a paid launch for $5:

  • Founder story (locked)
  • Milestones (locked)
  • Demo video (locked)
  • Dofollow website link (locked)

See also

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Driftline logoDriftlineKnow before your AI model disappearsIndonesia00 votes. Log in to vote for Driftline in the file
meshIQ logomeshIQAI control plane for data in motion and AI agentsUnited States450 votes. Log in to vote for meshIQ in the file
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