OfferLens: A Privacy-First Job Offer Reality Checker for Candidates

Описание и применение

OfferLens — инструмент, позволяющий соискателям сравнивать обещания работодателя с юридическим договором, выявлять расхождения и получать готовые скрипты для переговоров, при этом защищая персональные данные локально.

Задача

Job seekers face informational and emotional disadvantages when reviewing offers, often missing discrepancies between promises and contract terms.

Результат

OfferLens enabled a candidate to identify a $33k salary gap, mandatory in‑office days, and a 18‑month non‑compete clause, providing evidence and negotiation scripts, thereby reducing anxiety and empowering informed decision‑making.

Рабочий процесс

• Upload or paste offer materials (PDFs, emails, messages, screenshots, audio).
• Local PII sanitizer redacts personal identifiers in-browser.
• Deterministic engine cross-references promises vs. contract, highlighting side-by-side discrepancies.
• Calibrated risk detector flags inconsistencies with objective language.
• Missing information audit identifies omitted clauses (e.g., equity, insurance).
• Negotiation playbook generates tone‑specific scripts for each discrepancy.
• Export report as PDF or Markdown for sharing with mentors or attorneys.
• Optional Gemini AI augmentation processes sanitized text for deeper analysis.

Доказательства

The recruiter had promised an "unconditional $165k base, 100% permanent remote flexibility, and unlimited PTO" over email and Zoom.

Источник

The actual 14-page PDF contract arrived with $132,000 base + a discretionary bonus "subject to board approval", a clause requiring 4 days/week mandatory attendance in-office, an 18-month non-compete clause, and an exploding 48-hour signature deadline.

Источник

OfferLens runs an in-browser PII sanitizer that automatically redacts personal identifiers locally before any analysis takes place, with a toggleable visual audit trail and zero server retention.

Источник

It cross-references promises against the legal agreement, highlighting exact side-by-side discrepancies (e.g., base salary gaps, remote bait-and-switches, PTO downgrades, equipment expenses).

Источник