Why cross-board search is the bottleneck
A serious job search in India touches at least four sources: LinkedIn for MNC and product roles, Naukri for breadth, Instahyre and Cutshort for startups, Wellfound for early-stage. Each has its own filters, its own relevance model, and its own way of surfacing stale postings.
Doing that manually is roughly an hour a day of repetitive filtering, and the output is a browser with thirty tabs and no record of what you already saw. That is the work a cross-board tool is supposed to remove.
Vendors that search across boards
| Vendor | Boards covered | Resume matching | Apply-link verification |
|---|---|---|---|
| Apply Ops | LinkedIn, Naukri, Instahyre, Wellfound, Shine and more — selected per search | Yes — ranked against your parsed resume | Yes — every link checked before it reaches you |
| Google Jobs | Wide aggregation from many boards and career sites | No | Links go to the source, but staleness is common |
| Adzuna / Jooble | Broad aggregation, strong on volume | No | No |
| LoopCV | Primarily global boards | Criteria-based rather than resume-matched | Not a stated feature |
| Simplify | Strong on US ATS platforms | Profile-based matching | N/A — you are on the page already |
| Teal | You add roles yourself via bookmarklet | Resume tailoring, not discovery | N/A |
The two failure modes to check for
1. Fabricated apply URLs
When a language model is asked for job listings, it will reliably produce perfectly formed URLs for jobs that do not exist. The URL has the right shape — the right domain, the right path structure, a plausible ID — and leads to a 404 or a search page.
This is the single biggest quality problem in AI job search, and the only real fix is checking each link before it is shown. Apply Ops labels every result: a link that resolves is shown as-is, one that fails is repaired from the sources actually retrieved or from the company's own applicant tracking system, and one that is provably dead is replaced with a board-scoped search labelled Find Listing rather than a fake Apply button.
2. Stale listings
Aggregators frequently surface roles that were filled weeks ago, because removing a listing is a step employers skip. A tool that checks whether the posting still accepts applications saves more time than one that returns twice as many results.
- Which boards, by name, does a single search cover?
- Can I choose the boards per search, or is the set fixed?
- Is ranking based on my actual resume, or on keywords I type in?
- Is every apply link checked before I see it, and what happens when one is dead?
- Do results include the full job description, or only a title and a link?
One search, every board you actually use
Upload a resume, tick the boards, and get a ranked shortlist of live roles with full descriptions and verified apply links.
Try Apply Ops freeWhat a good cross-board result looks like
- A shortlist, not a feed. Ten to twenty-five strongly matched roles beats four hundred loosely matched ones.
- The full job description inline, so you can judge fit without opening the posting.
- A working apply link, with dead ones labelled honestly rather than silently shown.
- Selectable boards, because the right sources differ by role and seniority.
- A record of what you have already seen, so tomorrow's search does not repeat today's.
Apply Ops returns up to 25 roles per search — a deliberate cap, since match quality degrades when a model is asked to fit more listings with full descriptions into a single response. The boards are chosen per search, not fixed.