Match a job posting against what you can prove
Paste a job posting. Tayyari lists what it asks for, checks each requirement against your evidence, and tells you plainly where you are covered, partly covered or have a gap. Then it can build a resume and a cover note from facts you can defend.
What you get
- The posting broken into its requirements, each with the words of the posting it came from.
- Each requirement checked against your facts, with the evidence shown next to it.
- A band in words and a statement of how confident Tayyari is, never a percentage.
- At most three questions about the gaps, must-haves first.
- A resume and a cover note for that posting, built from your cited facts.
The posting is read on its own first
Tayyari reads the posting with your profile out of sight, so your resume cannot colour what the posting asked for. Every requirement is kept with a quote from the posting and a strength: must, required, preferred or nice. A requirement Tayyari had to infer rather than find can never be marked as a must or required.
Hard requirements, such as a licence, a degree or the right to work in a country, are checked before anything is scored. Only a clear failure on a serious one blocks a match. If your evidence is silent, Tayyari says "not evidenced, add it if true", not "no".
Every requirement against your evidence
Each requirement gets one of six statuses:
- Covered: direct, specific evidence.
- Partial: close, with a gap.
- Synonym only: you show it, in other words.
- You have it, but your resume does not say so: it shows up elsewhere, for example in a repository.
- Gap: nothing in your evidence.
- Can't tell: not enough information. This is never counted as a fail.
The model must cite the facts before it may state a status. If a status has no valid citation, code downgrades it to "can't tell". The overall band, strong, good, stretch or weak, is worked out by code from the strength of each requirement and how well it is covered. A model does not choose it.
The radar beside the table has one axis for each area of your own skill graph. A requirement that fits none of your areas is named under the chart. It is not hidden in an "Other" axis that would bend the shape towards nothing.
Questions turn gaps into facts
For a gap or an unknown, Tayyari asks you a short question. Your answer becomes a fact in your own words, marked "from you", and later matches can cite it. Re-checking after you answer is free.
A resume and cover note from cited facts
Code chooses which facts to use. A model phrases each line, and every sentence is verified against the facts it cites. If a line uses a stronger verb than the fact supports, such as "led" where the fact says "contributed", it is flagged for you to decide. Numbers are never invented. A missing number becomes a question and a placeholder, [x], and the export stays blocked until you resolve it.
The PDF and Word files use one column, standard headings and plain dates, and Tayyari checks that every verified sentence can be read back from the text inside the file. The cover note runs 250 to 400 words, has a plain sentence for each must-have gap, and avoids generic openers.
Postings are data
Whatever is in a posting is treated as text to be read, not as instructions. Tayyari does not follow commands hidden in it, and it does not open links inside it.
Questions
Does Tayyari give an ATS score?
No. Nobody outside the vendors knows how a given applicant tracking system scores a resume, so a percentage or a pass/fail per vendor would be invented. Tayyari shows a band in words and checks the things that can be checked.
Can I paste a link to a LinkedIn or Naukri posting?
No. LinkedIn, Naukri, Indeed, Glassdoor, foundit and Shine do not allow automated reading, so Tayyari refuses their links and asks you to paste the posting text. A link to an employer’s own public page can be read.
Will it add skills from the posting to my resume?
Never. A requirement you cannot evidence stays a gap, and it is written as a gap or left out. A skill appears on the resume only when one of your facts supports it.
What if the posting contains instructions for an AI?
The posting is treated as data. An instruction aimed at a model is reported as an anomaly and is not followed, and links inside a posting are never opened.
What does it cost?
The first posting match each calendar month is free. After that you pay per posting or by the month, and there is no annual plan. The pricing page has the current plans.