Market Intelligence

Use Historical Data to Find Trending Skills

Great freelancers react to jobs. Elite freelancers predict them. Analyze past job data to spot emerging trends before they become crowded.

Quick Overview: Historical Analytics

Historical Data allows you to search through thousands of past job postings that matched your filters. Aggregated data reveals pricing trends, keyword popularity, and client hiring patterns, helping you position your profile for maximum profitability.

Data-Driven Freelancing

Refine Your Rates

Stop guessing. See exactly what clients paid for similar projects last month.

Find Keywords

Discover related skills. If clients who hire for 'React' also ask for 'Tailwind', add it.

Spot Seasonality

Did 'E-commerce' jobs spike in October last year? Prepare your portfolio for Q4.

Backup Listings

Client deleted the post before you could reply? We saved the description for you.

Why "Just Searching" Isn't Enough

Most freelancers live in the "Now". They refresh the feed, apply, and forget. But the real money is made by understanding the "Always". By analyzing historical data, you can answer critical questions:

  • Is the hourly rate for "Shopify Developer" going up or down?
  • Which months have the most "Video Editing" jobs? (Hint: It's usually Q4)
  • What specific words does a "High Paying Client" use in their job title?

The Strategy: "Keyword Expansion"

Use historical data to find adjacent skills.

If you search for "seo writing" and notice that 40% of high-budget jobs also mention "SurferSEO" or "AHREFS", you know exactly what software you need to learn (and list on your profile) to unlock that higher tier of work.

Frequently Asked Questions

Make Smarter Career Moves

Stop guessing. Access the data you need to dominate your niche.