Import by link
One field, one paste. Dedicated parsers for dou.ua, linkedin.com, djinni.co and every peopleforce.io career site pull the vacancy straight from the page — including LinkedIn posts that normally hide behind a login wall.
Works with DOU · LinkedIn · Djinni · PeopleForce
We'll Call You keeps everything you applied to in one sortable table — statuses, salary, dates and notes — and scores each job description against your resume, so the next evening goes to the role that actually fits. Adding one takes a pasted link.
Sign in with Google in one click — no spreadsheet to build.
Any vacancy from DOU, LinkedIn, Djinni or a PeopleForce career site. The backend fetches the page and reads the job title, company, location, salary, publish date and the description — markup and all.
Everything lands pre-filled in a preview row. Fix a field, pick a company from suggestions, add a note — then save it into your table.
Move the application through statuses, rate it, score it against your resume, and keep the whole search in one place instead of ten tabs.
Not a generic CRM bent into shape — every feature exists because a job search breaks without it.
One field, one paste. Dedicated parsers for dou.ua, linkedin.com, djinni.co and every peopleforce.io career site pull the vacancy straight from the page — including LinkedIn posts that normally hide behind a login wall.
The employer is matched by domain, not by spelling, so “dok.ua” never splits into three rows. Website, logo and profile text are picked up from the job board — or from brand search while you type.
Sort, filter per column, group by date, hide what you don’t need and edit any cell in place — job title, salary, dates, notes. It behaves like a spreadsheet because that is how a search is really tracked.
New, Applied, In Review, HR Interview, Tech Interview, Test Task, Offer, Rejected, No Response, Cancel — several at once on one application, colour-coded, so a stalled process is visible at a glance.
Upload a resume once and score any vacancy against it: a 0–100 number, a verdict and a short summary of what fits and what is missing. Repeat runs of the same pair come from cache.
The same vacancy arrives under a dozen URLs — search results, tracking tails, renamed slugs. Each one collapses to a canonical key, and a repost of the same role at the same company is flagged before it is saved.
Match analysis
Applying to everything is how a search burns out. Run the job description against your resume and get a straight answer before you write the cover letter.
Chrome companion
The extension marks LinkedIn and DOU listings with what your table already knows, so you stop reopening the same vacancy for the third time this week.
DOU, LinkedIn, Djinni and the career sites companies run on PeopleForce (company.peopleforce.io) are parsed automatically. Anything else can still be tracked — add the application by hand and paste the description; the table, statuses and match score work the same way.
You get told, not a duplicate row. Links are compared by a canonical vacancy key rather than character by character, and a second posting of the same role at the same company is caught right after parsing.
Your resume and the job description are sent to an LLM, which returns a structured verdict: score, fit level, summary and the requirements it considers matched or missing. Identical pairs are answered from cache instead of being analysed again.
Only you. Every query is scoped to your account, and applications are never shared between users.
Start with one link. In a minute you will have the first row — and a place to keep the next hundred.
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