01 / Independent project
Lakshya Hub
One connected job-search workspace.
An AI-assisted job-search workspace combining discovery, résumé preparation and application tracking. I’m bringing previously separate résumé tooling into the same product.
Explore the productPurpose / Layer 01
What makes it worth building?
A job search is a sequence of connected decisions, but the work often lives in separate places: a résumé, a list of openings and a record of applications. Moving between them makes it harder to keep context and decide what deserves attention next.
Approach / Layer 02
How the pieces work together.
I’m connecting search adapters, persistent application data and résumé preparation in one workspace. A shared, canonical résumé state keeps editing and downstream views aligned.
Trade-off / Layer 03
Where the boundary belongs.
When multiple copies of résumé data produced inconsistent behaviour, I prioritised a canonical-state refactor over another symptom-level patch.
Discover opportunities
Consider the fit
Track the next step
03 / Open the artifact
Follow the work.
The public product is linked below. The diagram on this page is an original illustration of the workflow, not a product screenshot or a measured result.
Explore the product04 / Trade-offs and limits
Keep the boundaries visible.
When multiple copies of résumé data produced inconsistent behaviour, I prioritised a canonical-state refactor over another symptom-level patch.
In active development. The live product and dated build notes may represent different stages.