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Inspiration -
I was actively searching for remote roles and kept running into the same problem—most platforms like LinkedIn or Indeed were either cluttered, outdated, or optimized for volume rather than relevance.
I came across tools like Bryan's Job Search, which were a great starting point, but I felt they were limited in flexibility and had some UX gaps.
That’s when I thought—what if I could build a faster, cleaner way to discover *high-quality remote jobs*, with better control over sources and filters?
Problem I'm trying to solve
Job search today is noisy.
* You get duplicate listings across platforms
* Filters are often limited or inconsistent
* Many great opportunities (especially on startup career pages) are hard to discover
I wanted to solve for **signal over noise**.
remotejobs.site focuses on:
* Aggregating jobs from multiple sources in one place
* Giving users better filtering (like role + location + source control)
* Making the experience fast, minimal, and actually useful
The goal was simple: Help people find relevant remote jobs faster, without hopping across 10 different tabs.
How process evolved
This started as a small experiment.
Initially, I was just exploring how tools like Bryan’s Job Search structure their queries and sources. I built a basic version that wrapped around search queries, but quickly realized that UX and flexibility mattered just as much as the data itself.
So I iterated:
* Improved filtering (multi-select sources, better query control)
* Fixed inconsistencies in how results were fetched
* Simplified the UI to reduce friction
I also intentionally kept the product lightweight and fast, deploying on Vercel to ship quickly and iterate based on feedback.
This launch is just the beginning—I’m planning to expand sources, improve discovery (especially hidden jobs), and add features that genuinely help users land roles faster.
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