Stop applying to 500 jobs. Apply to the five that will answer.
WorkSynapse reads every role we have indexed and hands back a short list, with the reasons behind each one, including the reasons against.
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Stop applying to 500 jobs. Apply to the five that will answer.
WorkSynapse reads all 2,096,110 roles we have indexed and hands back a short list, with the reasons behind each one, including the reasons against.
Senior Backend Engineer
- Strong match
- Nine years in distributed systems, against the eight the posting asks for.
- Gaps
- The posting asks for Kubernetes. Your CV does not mention it.
- Not stated
- Salary. The advert does not give one, so neither do we.
Two ways to use AI in a job hunt
The volume approach
Hundreds of applications, sent for you
Generated cover letters, a CV rewritten to carry the advert’s keywords, and a bot that submits while you are elsewhere. Employers built a filter for exactly this shape, and most of them now run it.
This one
A short list, and the reasons behind it
We read the corpus so you do not have to, rank what fits, and show the working, including where you fall short. Then you write the application, which is the part that still gets answered.
What that means in practice
Every claim points at a source
Nothing is generated about you. If a sentence cannot be traced to a line in your CV or in the advert, it is dropped rather than softened.
It tells you where you do not fit
The same page that explains a match names the gaps, so you know which roles are worth your evening, and which are not.
“Not stated” is an answer
Most adverts never mention salary or visa sponsorship. We print that, instead of guessing. A confident wrong number is what destroys trust fastest.
How it works
Describe the role you want in a sentence, or upload your CV.
We read all 2,096,110 indexed roles against it: full-text and vector search, fused, then ranked.
