Links
Showcase your online presence by adding important links to your profile. Connect visitors to your portfolio, social profiles, and projects.
Why Add Links?
Links extend your context beyond what's written in your profile. They let visitors (and AI) explore your work in depth. A link to your GitHub shows your code, a portfolio link shows your projects, and social links show your professional network.
Types of Links to Add
Portfolio
Your personal website or portfolio
GitHub
Your GitHub profile or repositories
Your professional LinkedIn profile
X
Your X social presence
Custom
Any other relevant links
How to Add Links
Step 1: Go to Links
Navigate to the Links page from the sidebar menu under Pro Features.
Step 2: Add a New Link
Click "Add Link" and enter the URL. Choose a link type (GitHub, LinkedIn, etc.) or select Custom for other links.
Step 3: Add Title and Description
Give your link a clear title and optional description. This helps visitors understand what they'll find when they click.
Step 4: Organize Your Links
Drag and drop to reorder your links. Put the most important ones at the top where they'll get the most visibility and clicks.
Best Practices
Quality Over Quantity
5 high-quality, relevant links are better than 20 random ones. Curate your links to show your best work.
Keep Links Fresh
Remove outdated links. Check periodically that all links still work. Broken links hurt your credibility.
Strategic Ordering
Put your portfolio or best project first. Most visitors won't click every link, so prioritize the important ones.
Clear Descriptions
Help visitors know what to expect. "My React component library" is better than just "GitHub".
How AI Experts Use Links
- Put your most important link first - it gets the most clicks
- Include a link to your best project or case study
- Keep links updated - broken links look unprofessional
- Use descriptive titles that tell visitors what they will find
- Quality over quantity - 5 great links beat 20 random ones
- Include links AI can reference (GitHub, blog) for deeper context