HiringCafe has raised $6.8 million in pre-seed funding and launched an AI Talent Agent designed to help job seekers discover roles across millions of live openings. The round was led by Spark Capital, with participation from Nonfiction Capital, Silicon Gardens, and angel investors with backgrounds at ZipRecruiter and Indeed. The San Francisco-based company says it has already reached more than 2 million monthly active users by building a job search platform that indexes opportunities directly from company career pages.
Expanding Beyond Traditional Job Boards
HiringCafe positions itself as a search engine for jobs rather than a conventional job board, aiming to surface openings that may not appear on the largest recruitment platforms. The company argues that traditional services often emphasize sponsored listings and large employers, leaving a significant share of available roles fragmented across individual company websites. Its platform uses automated web indexing and AI systems to collect and organize those listings into a centralized search experience for candidates.
Launching an AI Talent Agent
Alongside the financing announcement, HiringCafe is introducing an AI Talent Agent that can continuously search its database for roles that match a user’s background and preferences. Candidates can upload a resume, allowing the system to analyze their experience and skills before recommending relevant opportunities from what the company says is an index of more than 5 million jobs. HiringCafe also says the agent is designed to identify newly posted positions, filter out inactive or misleading listings, and reduce the need for users to repeatedly refresh multiple job sites.
Building a Candidate-Focused Search Model
The company says its approach is intended to address what it sees as structural problems in online recruiting, particularly the concentration of applicants around a relatively narrow set of highly visible job listings. Co-founder Hamed Nilforoshan said HiringCafe was built around the idea that job discovery should function more like a comprehensive search engine than an advertising marketplace. By indexing company career pages directly, the platform aims to expose candidates to a broader range of opportunities and help employers receive applications from people whose backgrounds are more closely aligned with open roles.
From Side Project to Growing Platform
HiringCafe originated from a side project created by co-founder Ali Mir in 2022 after he left his job and began working on an HR startup. As technology companies carried out large layoffs, Mir started compiling hard-to-find startup jobs for friends, and the project gained significant traction through repeated sharing on social media. Nilforoshan, who was pursuing a PhD at Stanford at the time, later joined the effort, and the pair expanded the concept into a broader job discovery platform that has grown largely through word of mouth and an active Reddit community.
Funding and Growth Plans
The new capital gives HiringCafe additional resources to develop its AI-driven search capabilities and support a user base that the company says has grown without paid marketing. Spark Capital General Partner Fraser Kelton said the founders’ focus on building a product specifically for job seekers was a key reason for the firm’s investment. HiringCafe has not disclosed a detailed spending plan, but the funding is expected to support continued product development as the company expands its search infrastructure and AI tools.
HiringCafe’s funding round and AI Talent Agent launch highlight growing interest in applying agentic AI to consumer-facing job search rather than only to employer recruitment workflows. With millions of users and a large index of direct-from-company listings, the company is betting that broader job discovery and more personalized matching can improve an increasingly crowded application process. Its next challenge will be proving that the scale of its database and automated recommendations can consistently translate into better outcomes for job seekers while maintaining the quality and freshness of the listings it surfaces.