Sourceress
Sourceress is an AI recruiter that is reinventing how people find jobs. With tailor-made machine learning models, we rigorously define what a company is looking for in a role, identify great candidates, and engage candidates with highly personalized introductions. Our process creates a stream of interested candidates that hiring managers are excited about more than 85% of the time.
Y Combinator
yc-company-directory #1207Sourceress is an AI recruiter that is reinventing how people find jobs. With tailor-made machine learning models, we rigorously define what a company is looking for in a role, identify great candidates, and engage candidates with highly personalized introductions. Our process creates a stream of interested candidates that hiring managers are excited about more than 85% of the time.
sourceSourceress is classified as AI infrastructure from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
Companies similar to Sourceress
A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
Fountain
match 67Fountain’s all-in-one high volume hiring platform empowers the world’s leading enterprises to find the right people through smart, fast, and seamless recruiting. Candidates can apply anytime, anywhere in minutes, right from their phone. Automated and customizable processes streamline the candidate experience and save time for recruitment teams so they can scale with growing hiring needs. Advanced analytics provide end-to-end process visibility so managers can make swift, data-driven decisions. T
shared extracted concept terms: hiring; shared product terms: hiring, find, people, candidate; shared affiliation: Y Combinator
Matcha
match 60We're building Matcha, the faster, smarter way to hire clinical talent—helping hospitals find active, qualified candidates at a fraction of the time and cost of job boards or headhunters. Matcha engages candidates at scale, matching them to your organization by qualifications and cultural fit. Recruiters save time, hospitals save money, and candidates get a better experience—a radically better hiring model for everyone involved.
shared product terms: find, candidate, time, engage; same category: AI infrastructure; shared affiliation: Y Combinator
Hiration
match 57Our SaaS product solves the different problems that job seekers face in the process of finding a new job - creating an efficient resume, writing a cover letter/email, updating their LinkedIn profile, applying to suitable jobs, interview preparation... It's the 1st time in history that we've been able to create resumes using technology that surpass human made resumes. This is a novel way to add active job seekers to our database of resumes as none of the incumbents are focussing on candidates' pr
shared product terms: proces, find, jobs, time; shared affiliation: Y Combinator
NeoWize
match 46NeoWize changes the way we look at machine learning and deep learning. Current deep learning algorithms focus on making the most out of the data available. NeoWize utilizes neural networks and adaptive input to create more data and better data, thus increasing our predictive power with small data-sets. We use this technology to help e-commerce sites learn what each individual buyer is looking for and create a better user experience from the first visit.
shared extracted concept terms: machine; shared product terms: look, machine, create, what; same category: AI infrastructure; shared affiliation: Y Combinator
Replicate
match 40Run machine learning models in the cloud
shared extracted concept terms: machine, model; shared product terms: machine, model; same category: AI infrastructure; shared affiliation: Y Combinator
MAIK
match 37DIY studio to create custom-made AI/ML models
shared extracted concept terms: model; shared product terms: create, made, model; same category: AI infrastructure