Case file — 832C842E

🔥 ROASTED
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The idea

AutoApply — Product Requirements Document 1. Product Goal The Problem Job searching is one of the most time-consuming and psychologically draining tasks a student or early-career professional faces. A typical student applying to jobs submits 150–250 applications before receiving 5–6 meaningful callbacks. Each individual application done properly — reading the job description carefully, tailoring a resume, filling out a multi-step form, writing a cover letter — takes 20–45 minutes. That is 50–150 hours of low-leverage, repetitive work before a single interview is secured. Most of that time is not spent thinking or being strategic. It is spent copy-pasting the same information into slightly different form fields, rewording the same bullet points, and clicking through the same multi-step application portals over and over again. The problem compounds further because volume matters enormously in early-career job searching. Students who apply to more jobs get more interviews. But the manual overhead of applying to each job acts as a hard ceiling on how many applications any one person can realistically submit. Students who cannot afford to spend 10 hours a week applying — because they are in class, working part-time, or managing other responsibilities — are structurally disadvantaged against those who can. AutoApply removes that ceiling entirely. The Solution AutoApply is an autonomous job application platform. A user onboards once, providing their background and preferences in detail. From that point forward, AutoApply handles the entire application pipeline on their behalf: It continuously monitors every major job platform and discovers new postings that match the user's preferences For each matched job, it generates a tailored version of the user's resume using AI — rewriting and reordering content to align with the specific job description, without fabricating anything It navigates to the employer's application portal, fills out every field, uploads the tailored resume, answers screening questions, and submits the application It tracks every submission in a dashboard so the user knows exactly where they have applied and what the status is The user's only ongoing job is to review a queue of matched jobs and approve or skip them. Everything else is automated. The Core Insight The bottleneck in job searching is not quality of candidates — it is the sheer mechanical overhead of the application process. A student with a strong background who applies to 200 jobs will get significantly more interviews than an equally strong student who applies to 30, purely by virtue of surface area. AutoApply equalizes that surface area. It lets every user apply with the thoroughness of someone who has unlimited time, and the personalization of someone who carefully tailored every application. What Makes AutoApply Different Most "job application" tools either help users find jobs (aggregators like LinkedIn, Indeed) or help them fill out forms faster (autofill tools like Simplify). AutoApply is the only tool that does both ends of the pipeline at scale: it finds relevant jobs, generates a genuinely tailored resume for each one, and submits a complete application — all without the user needing to touch anything. The resume tailoring is the real moat. A resume that mirrors the language, priorities, and keywords of a specific job description converts dramatically better than a generic one. In V3, this goes further: AutoApply generates a custom project specifically built for each role and company, giving users a concrete, relevant, and verifiable signal that no generic applicant can replicate. 2. Key Architectural Distinction: Job Discovery vs. Application Submission This distinction is fundamental and must be understood before any engineering work begins. Job Discovery (Where We Find Jobs) Job discovery is the process of monitoring platforms where employers post listings and building a user's job queue from them. The job listing page tells us the role, company, description, and — critically — a link to the actual application. That link almost always points somewhere else. Application Submission (Where We Actually Apply) Application portals are the systems employers use to receive applications. These are almost never the same as the discovery platform. When a user clicks "Apply" on a job board, they are almost always redirected to the employer's own portal. The major portals are: Workday — dominant at large enterprises and financial institutions Greenhouse — common at tech companies Lever — common at startups Ashby — growing adoption at tech companies SmartRecruiters — common at retail, healthcare, enterprise iCIMS — common at large non-tech employers Taleo (Oracle) — legacy, used at large enterprises BambooHR — SMBs Custom company forms — some companies build their own Greenhouse, Lever, Ashby, and Workday are NOT job discovery sources. They are submission targets. The user finds the job via a discovery platform, and our automation nav