Find early-career talent faster
Cache helps employers discover high-potential students and new grads without manually sorting through repetitive resumes.
AI recruiting for companies
Cache helps employers find early career talent using AI powered candidate matching. The platform evaluates candidates through projects, skills, experiences, messages, and semantic fit instead of relying only on resumes.
Completely free for recruiters. Create an account, explore matching, and start building a hiring pipeline without paying.
Free for recruiters
Recruiters can create an account, explore AI matching, review candidate signals, and start building a hiring pipeline without paying.
What Cache is
Cache gives companies a clearer way to discover, compare, and contact candidates at the start of their careers. Instead of treating every applicant as a PDF, Cache turns project work, skill evidence, written context, messaging replies, and experience signals into recruiter-ready matches.
Why companies use it
Cache helps employers discover high-potential students and new grads without manually sorting through repetitive resumes.
The platform evaluates projects, skills, experiences, and semantic fit so strong candidates can surface even when their resumes look different.
Recruiters can understand why a candidate fits, create focused job pipelines, and start outreach with more confidence.
How AI matching works
Add the job, desired skills, project signals, experience level, and hiring context.
Cache reads profiles across projects, skills, experiences, and text-based candidate responses.
AI matching compares the role to capability signals instead of only checking for exact resume keywords.
Recruiters review stronger matches, create interview paths, and contact candidates directly.
Beyond resume-only hiring
Early-career candidates often have limited work history, uneven resume polish, and strong project signals that traditional filters never read. Cache helps companies evaluate the substance behind the profile.
Overweights school names, formatting, and resume polish.
Misses candidates who describe the same ability with different wording.
Makes early-career hiring noisy because many resumes look similar.
Ranks candidates by project evidence, skills, experience, and fit.
Explains useful match signals so recruiters know why someone surfaced.
Helps companies evaluate potential before a resume becomes the whole story.
What makes it useful
Text based hiring
Candidates can share goals, project details, availability, and experience context through simple text replies.
Cache interprets meaning across text responses instead of relying on exact phrasing or resume formatting.
Companies get readable candidate signals that make screening and follow up faster.
Messaging feature
Use text based hiring touchpoints to collect missing details, schedule next steps, and keep candidates moving.
Candidate messages can become structured profile signals that support ranking, review, and recruiter decisions.
Messaging works best when it is connected to the role, shortlist, and candidate evidence already inside Cache.
Ready to try Cache?
Recruiter access is completely free, so teams can try Cache before committing budget.