Changelog

I have launched AI-Powered Landing Page Auto-fill to streamline project setup. Simply paste your URL during project creation, and the system automatically extracts your project name, subdomain, branding colors, theme preferences, and AI voice settings. This update minimizes configuration time, allowing you to launch live projects in seconds.

Improvements:

• Added URL scraping to auto-populate the project wizard.
• Automated branding detection for colors and theme settings.
• Implemented smart defaults for project metadata and AI voice parameters.

I have implemented server-side pagination for the Feedback Board to resolve performance bottlenecks caused by increasing data volume. The interface now limits initial loads to 50 items and utilizes optimized database queries, ensuring the platform remains fast and scalable as user contributions grow. These changes improve overall board responsiveness while maintaining a seamless user experience.

I have recently updated the feedback submission process to allow for full Markdown support in descriptions. Previously, I restricted feedback input to plain text, which limited the ability to provide detailed, formatted bug reports or feature requests.

Now, when you submit a new feedback item, you can use standard Markdown syntax directly in the description field. This enables you to include inline code snippets for technical bug reporting, bulleted lists for structured feature requirements, and clickable links for reference documentation. This change is designed to help you communicate your needs more clearly and effectively.

To use this feature, simply type your description as you normally would, and utilize standard Markdown characters (e.g., backticks for code, asterisks for lists). The interface will automatically render the formatting upon saving, making your feedback much easier to read and act upon.

Improvements

• Added Markdown parsing support to the feedback description input field.
• Enabled syntax highlighting for inline code snippets within descriptions.
• Improved the rendering engine to correctly process links and list structures submitted by users.

I am incredibly excited to officially launch ShowProgress!

Building in public is one of the most powerful ways to connect with your audience, but keeping users updated, managing feedback, and writing release notes can be a tedious chore. ShowProgress was created to solve exactly that. It automates the friction out of shipping updates so you can focus on writing code.

By bridging the gap between your development commits, backlog, and public portals, ShowProgress provides a central hub to keep your users engaged and excited about what you build.

Here is a closer look at the core engine behind ShowProgress:

🤖 Commit-to-Changelog AI Engine

No more staring at a blank screen trying to remember what you shipped. The platform scans your GitHub commit history, groups resolved issues, and uses advanced AI to write comprehensive, draft-ready release notes in seconds.

💬 Integrated Feedback & Backlog Boards

Let your users voice their needs. Collect feature requests and bug reports on a premium feedback board, allow upvoting, and link suggestions directly to your internal roadmap. When a feature is marked as shipped, your audience is automatically notified.

🌐 Custom Domains & White-label Portals

Your brand, your home. Premium accounts can map public portals to custom domains (e.g., changelog.yourcompany.com) and toggle attribution off for a fully white-labeled, seamless user experience.

🧠 Context-Aware AI Memory (RAG)

Teach the AI how you speak. Upload your product guides, READMEs, or documentation, and let our semantic search engine (RAG) guide the AI to draft updates matching your brand's voice, guidelines, and historical releases.

📈 Multi-Channel Social Previews

Alongside your changelog, ShowProgress drafts optimized social media updates for Twitter/X and LinkedIn. You can preview, edit, and copy native posts matching the exact layout of each platform.