Fit over keywords
People are more than the keywords on a resume. Matching should interpret real experience and intent.
Why Traceroster exists.
Traceroster helps candidates become easier to discover and helps hiring teams find better-fit talent through clearer, AI-readable profiles and search.
Our mission
Job search has long rewarded keyword games over genuine fit. Strong candidates get filtered out on technicalities, and recruiters spend hours rephrasing searches. We built Traceroster so candidates can create one clear, searchable profile and be discovered for the work they actually want.
Candidates describe their real experience once. Recruiters search in plain English. Matching interprets skills, context, and intent — so the right people surface for the right roles.
What we believe
Clarity helps everyone
Clear, structured profiles help candidates surface and help recruiters find better matches faster.
Candidates come first
A great profile should work for the candidate — searchable, current, and honest about strengths.
For recruiting teams
Hiring teams use Traceroster to discover high-fit candidates with AI-powered semantic search and structured profiles. If you are a recruiter or employer, see Traceroster for recruiters.
The problem we're solving
Hiring rewarded the wrong things for too long.
For years, getting found meant gaming filters: repeating keywords, copying job-description language, and hoping a screening system counted the right tokens. Candidates who had genuinely done the work but described it in their own words were simply invisible, and recruiters burned hours rephrasing boolean searches to compensate.
We think that is backwards. People are more than the keywords on a resume, and matching should interpret real experience and intent. As search shifted from counting words to reading meaning, it became possible to build a platform where candidates describe their work honestly once and are matched on genuine fit. That is the shift Traceroster is built around — you can read more about it in how semantic matching changes job search.
Founder
Built by Muhammad Zohaib
Product decisions and public research stay connected to the system being built.
Muhammad Zohaib is the founder of Traceroster and works across the product's candidate-discovery and recruiting workflows. Public product explanations are grounded in current implementation and labeled research rather than invented customer outcomes.
For product, research, or support questions, contact the Traceroster team at support@traceroster.com.
Founder profile: Muhammad Zohaib on LinkedIn.
Co-founder and CTO
Built with Syed Ayaan Ali
Technical leadership stays connected to the product and infrastructure being built.
Syed Ayaan Ali is the co-founder and CTO of Traceroster. He works where product intent becomes dependable infrastructure — turning candidate experience into structured, searchable context and recruiter questions into useful discovery workflows. His focus is keeping Traceroster's core promise practical: technology that helps the right people become easier to find without reducing them to keywords.
Co-founder profile: Syed Ayaan Ali on LinkedIn.
Frequently asked questions
Is Traceroster free for candidates?
Yes — you can create and maintain a searchable profile for free. Optional paid upgrades add indexing capacity and analytics. The current product presents no sponsored-placement purchase path.
Who is Traceroster for?
Primarily job seekers who want to be discovered for the right roles — across tech, design, product, operations, marketing, and remote work worldwide. Recruiting teams use it too, on the recruiter side.
How is my data handled?
You control your profile and its visibility, including a discoverability toggle, messaging controls, and public-profile privacy settings. See the privacy policy for the full detail.
Get discovered for the right jobs
Create your free profile and become easier to find.