Product Vision
Sending generic, one-size-fits-all resumes to dozens of job listings is the number one reason qualified candidates get silently rejected by automated Applicant Tracking Systems (ATS). Offer Every Day was engineered to solve this hiring asymmetry.
Offer Every Day is an end-to-end AI career copilot that takes a candidate’s verified background and target job description, performs granular gap analysis, rewrites accomplishments into high-impact ATS-optimized bullet points, crafts authentic answers to employer screening questions, and prepares candidates with adaptive role-specific mock interviews.
Core Capabilities
1. Precision CV & Resume Tailoring
Offer Every Day dynamically adapts your professional profile for individual job openings in under 30 seconds. By decomposing job descriptions into required skills, competencies, and domain keywords, our proprietary prompt orchestration rewrites existing bullet points using quantifiable metrics (e.g. STAR framework, percentage improvements, throughput metrics) while strictly respecting the candidate’s actual experience.
2. Algorithmic ATS Optimization & Keyword Matching
Automated screeners like Workday, Greenhouse, and Lever filter out up to 75% of applicants before a human recruiter ever sees a page. Offer Every Day calculates an instant ATS Fit Score (scaling from standard ~54% up to 96%+), highlighting keyword density, missing technical competencies, and phrase alignments required to clear algorithmic thresholds.
3. AI Screening Questions Copilot
Job applications frequently require answering custom open-ended screening questions (e.g., “Describe a time you handled competing technical priorities,” or “What is your expected compensation and notice period?”). Offer Every Day synthesizes your career history, company context, and salary benchmarks to generate authentic, persuasive responses tailored to each employer.
4. Interactive Voice & Text Mock Interviews
Tailoring your CV gets you the interview; preparing for the interview gets you the offer. Offer Every Day provides role-specific mock interviews with an adaptive AI interviewer that tests your system design knowledge, behavioral stories, and domain depth. Candidates receive instant feedback on clarity, structure, and STAR alignment.
5. Bi-Directional Document Processing (PDF / DOCX / Markdown)
Candidates can upload resumes in PDF or Word DOCX format. The parsing pipeline extracts structured experience trees from complex multi-column layouts, tabular sections, and custom typography. After tailoring, users can export clean, beautifully formatted ATS-compliant PDFs, editable Word DOCX files, or raw Markdown.
6. Kanban Job Application Pipeline
A built-in Kanban board centralizes the entire job search lifecycle. Candidates track application statuses across stages (Applied, Recruiter Screen, Technical Round, Final Offer), archive job descriptions, store tailored resume iterations, and schedule interview reminders in one unified dashboard.
Architectural Breakdown
┌────────────────────────────────────────────────────────┐
│ Nuxt 3 & Vue 3 Web Application │
│ - Reactive CV Diffing Studio & ATS Scoring Gauges │
│ - Drag & Drop PDF/DOCX Importer & Export Controls │
│ - Interactive AI Mock Interviewer & Audio Waveforms │
└───────────────────────────┬────────────────────────────┘
│ HTTPS / WebSocket
▼
┌────────────────────────────────────────────────────────┐
│ FastAPI Asynchronous API Gateway │
│ - Pydantic Validation, Rate Limiting & Auth │
│ - Non-blocking I/O Event Loop Processing │
└─────────────┬────────────────────────────┬─────────────┘
│ │
▼ ▼
┌───────────────────────────┐ ┌──────────────────────────┐
│ Redis Queue & Session │ │ Contextual RAG Pipeline │
│ - Decoupled Celery Workers│ │ - Resume Experience Graph│
│ - Async Document Jobs │ │ - Vector Keyword Search │
│ - Real-Time State Cache │ │ - JD Competency Matcher │
└─────────────┬─────────────┘ └────────────┬─────────────┘
│ │
▼ ▼
┌───────────────────────────┐ ┌──────────────────────────┐
│ Bi-Directional Doc Engine│ │ Large Language Model Hub │
│ - PDF Parsing & Extraction│ │ - Zero-Hallucination LLMs│
│ - ATS-Compliant PDF Render│ │ - Screening Q&A Reasoning│
│ - Native DOCX Generator │ │ - Mock Interview Engine │
└───────────────────────────┘ └──────────────────────────┘High-Velocity Tech Stack
- Nuxt 3 & Vue.js: Universal server-side rendered frontend providing sub-second page transitions, reactive client-side CV editing, live keyword diffing visualizers, and full mobile responsiveness.
- FastAPI: Asynchronous Python backend delivering high-throughput REST endpoints, structured Pydantic data schemas, and async coroutine execution for fast multi-request handling.
- Contextual RAG Pipeline: Retrieval-augmented generation embedding candidate career achievements and target job requirements into high-dimensional vector spaces for semantic alignment and competency matching.
- Async Operations & Task Workers: Redis and Celery background workers decouple interactive client requests from heavy multi-stage LLM prompts and document conversion workloads.
- Bi-Directional Document Processing: Specialized parsers and formatters handling PDF text extraction, style normalization, layout tree reconstruction, and generating native DOCX and ATS-standard PDF outputs.
- AI Screening Questions Engine: Multi-shot reasoning chains designed to answer employer application questions with authentic, role-aligned candidate narratives.
- PostgreSQL & Redis: Persistent transactional database modeling user profiles, job pipelines, and Kanban cards, combined with Redis caching for ultra-low latency.
Privacy, Guardrails & Anti-Hallucination Design
- 100% Experience Integrity: The tailoring engine operates with strict anti-hallucination guardrails. It never invents degrees, fabricated companies, or unverified skills; every bullet point is strictly rooted in the candidate’s submitted background.
- Zero Model Training Retention: Uploaded resumes, job descriptions, and user inputs are strictly processed during inference and are never used to train public foundation models.
- Granular Data Ownership: Candidates maintain full control over their uploaded documents, application histories, and notes, with instant one-click data deletion options.
Live Deployments & Getting Started
Experience Offer Every Day directly in your browser:
- Official Web Application: https://offereveryday.app/
- Platform Support: Desktop, Tablet, and Mobile Web
- Supported Import / Export: PDF, Word DOCX, and Markdown