Platform Documentation & Strategy
Everything you need to know about setting up API integrations, understanding CareerForge's internal engines, and our market-fit analysis.
The CareerForge Vision
The traditional resume is a text file filled with unverified claims, subjective buzzwords, and exaggerated metrics. In the age of generative AI, resume spam is at an all-time high, prompting recruiters to use filters that screen out talented applicants.
CareerForge's primary goal: Replace the static text resume with a Verified Capabilities Graph backed by tangible Proof of Work (PoW). By verifying source code repositories, npm deployments, and hosting live mock simulators, we verify actual impact rather than written fluff.
Profile & Onboarding Hub
Start by uploading your current resume. The onboarding engine converts the PDF into semantic vector blocks and stores it. An interactive Onboarding Coach then starts asking targeted questions about your projects to fill critical gaps in metrics.
TargetMatch Optimizer
Paste the description of any target job listing. The matching engine compares the job requirements with your Supabase candidate graph, generates a Brutal Reality Check highlighting your missing skills, and constructs a strategic Employer Brief to target the job requirements.
Agentic Job Matcher
Run keyword and location queries. The crawler searches active streams (LinkedIn, Upwork, Remotive, Arbeitnow, Greenhouse, and Lever portals) in parallel. An authenticity agent scores the listing's reliability, filtering fake posts, and computes your compatibility rating.
PoW Simulator
Build credibility. Import your GitHub projects or simulate coding/deployment metrics. The simulator outputs verified metrics showing test coverage, commit densities, and code complexity to append directly to your candidate graph.
Frequently Asked Questions
Do I really need a DuckDuckGo Search API Key?
No! There is no official DuckDuckGo API key required. Our system has a built-in unauthenticated HTML scraper that works professionally out of the box for free. The field in Settings is strictly optional for advanced routing configurations.
How does pgvector RAG work in CareerForge?
When you upload your CV, we chunk the text and send it to Hugging Face to generate 384-dimensional vector embeddings. These are stored in Supabase. When you match jobs or chat with the AI, we perform semantic similarity queries to fetch relevant parts of your experience in real time.
What is the Proof-of-Work (PoW) Simulator?
The PoW Simulator allows you to create mock development projects (e.g., GitHub repo, NPM packages) and generate verified metric outputs (lines of code, test coverage) to prove you actually built what is written in your profile.