Overview:

Picture this: you drop in a job post link, and in seconds it combs your GitHub, Notion, and Google Drive to build a laser-targeted resume, cover note, and a tiny one-page portfolio that speaks exactly to that role. One tap for a clean PDF, one tap for a hosted link you can paste anywhere. It auto-picks the right projects, pulls the best code snippets or case-study screenshots, adds metrics, and makes it ATS-friendly for full-time roles. It’s basically the “do the annoying tailoring for me” button freelancers wish existed.

  • AI-driven, hyper-personalized resumes are exploding—job seekers and tools can generate tailored applications in seconds, driving massive volume but also overwhelming employers and ATS systems. (1, 2)

  • The freelance workforce continues its rapid growth and upskilling—millions more U.S. professionals freelance and freelancers lead in AI adoption and high-value knowledge work. (3, 4)

  • Deep integrations and APIs (Notion, Google Drive, GitHub) make fast, aggregated content sourcing possible—enabling agents that pull portfolios, case studies, and code to auto-build tailored resumes and site exports. (5, 6)

  • ‘Portfolio-as-a-service’ and one-click personal sites are rising as professionals prefer instant, curated web CVs and case-study pages alongside PDF resumes to win freelance gigs. (3, 7)

  • Privacy, verification, and ATS fairness are major headwinds—employers and regulators are increasingly focused on verifying AI-generated applications and mitigating automated-bias in screening tools. (2, 1)

Your Answer:

  • AI-powered agent that rewrites your resume, case studies and portfolio for each job posting in seconds by pulling relevant content from GitHub, Notion and Google Drive — outputs one-tap tailored PDFs and hosted website versions.

  • Eliminates the biggest freelance pain point: time-consuming, inconsistent customization — automatically selects the right projects, creates impact-first bullets with metrics, optimizes for ATS and crafts a matching short cover note.

  • Parses job posts and performs skills/match scoring to prioritize which case studies and code snippets to surface, so every application is hyper-relevant rather than generic.

  • Built-in integrations and privacy controls: OAuth access to repos/docs, granular content selection, ephemeral processing or encrypted storage for clients who want full control.

Your Roadmap:

  • No‑code MVP: build a Zapier/Make flow that pulls selected files from Google Drive, Notion blocks and latest GitHub README when a user pastes a job URL.

  • Pass the aggregated text to an LLM (OpenAI via Make or Zapier) with prompt templates that output: tailored resume bullet points, a one‑page PDF layout JSON, and a short cover blurb.

  • Convert layout JSON to PDF using a no‑code PDF generator (PDFMonkey/DocRaptor/API) and host a single‑page portfolio snapshot via Carrd or Webflow CMS using the generated HTML from the LLM.

  • Collect usage & payments with Stripe checkout, and use a simple Airtable user table to store templates, API keys and recent outputs.

Sources:

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