Caio launches a search engine that aggregates more than 366,000 tech roles from public boards, ATS feeds, and company career pages. The platform highlights location, salary, and source signals, making it easier for candidates to spot roles that match their profile. Early users can preview listings for free, then unlock the full index with a simple email sign‑up.

Caio uses the job title and desired location to sharpen recommendations. When postings include compensation, the engine keeps the figure visible instead of burying it in prose. The search step is free, but for candidates ready to apply, Daniel offers an Agent service that customizes CVs and automates submissions.

The tool targets tech roles from high‑profile firms such as Stripe, Figma, GitHub, Shopify, and Vercel. By exposing salary data and source origins, Caio cuts through noisy job boards. Candidates who sign up for the Agent can receive tailored job matches and streamlined application workflows, turning a tedious hunt into a focused pursuit.

Caio’s design aligns with the emerging application‑agent workflow, preparing data for automated submission pipelines. It also offers a free preview, encouraging users to test the index before committing. The platform’s focus on clean data and salary transparency addresses a long‑standing frustration in tech recruiting.