The top-rated AI recruiting platform for faster, smarter hiring.
Humanly is an AI recruiting platform that automates candidate conversations, screening, and scheduling.
Humanly is an AI-first recruiting platform that helps talent teams hire in days, not months—without adding headcount. Our intuitive CRM pairs with powerful agentic AI to engage and screen every candidate instantly, surfacing top talent fast. Built on insights from over 4 million candidate interactions, Humanly delivers speed, structure, and consistency at scale—engaging 100% of interested candidates and driving pipeline growth through targeted outreach and smart re-engagement. We integrate seamlessly with all major ATSs to reduce manual work, improve data flow, and enhance recruiter efficiency and candidate experience. Independent audits ensure our AI remains fair and bias-free, so you can hire confidently.
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AI-Powered Identity Governance
For IT Teams and MSPs in need of a solution to simplify, optimize and secure their SaaS, file, and device management operations
Define governance policies, manage access, and optimize licenses with unified visibility across every identity, app, and file.
CEManTIKA (Contextual Elements Modeling and Management through Incremental Knowledge Acquisition) is a framework to support context modeling and Context-Sensitive System design, in a generic, domain-independent way.
Evertune | Improve Your Brand's Visibility in AI Search
For enterprise marketing teams looking for a platform to understand and influence how AI models like ChatGPT recommend their products or services.
Evertune is the Generative Engine Optimization (GEO) platform that helps brands improve visibility in AI search across ChatGPT, AI Overview, Gemini, Claude and more.
A framework that translate name-based pointcut to analysis-based ones
Nataly, which can translate name-based pointcuts into analysis-based pointcuts automatically. Analysis-based pointcuts, can specify join points through static program analysis. But another problem is that there are few approaches can generate analysis-based pointcuts. We implement Nataly to tackle these two problems with a novel pattern, which is generated by static analysis.
Tudu Lists is a J2EE application for managing todo lists. It's based on Spring 2.5, JPA/Hibernate and AJAX (using the DWR framework). It's a simple yet effective project management tool, and it is also often used as a sample Spring application.
Enable the use of J2EE 5 annotations to configure spring framework beans.
Keep all the behavior of a bean within itself, and free the developer from having to look in 3 or 4 diferent files to know what a class really does.
A small library that provides a powerful and container-less Dependency-Injection mechanism, via AspectJ and Groovy. If you are tired of reams of XML configuration files, managing complex factories and containers, this non-API solution may appeal to you.
AspectJ Exception FrameWork (AJEFW) provides a central point and code reuse on the treatment of different kinds of exceptions presents in an application, everything specified in a xml configuration file. Framework para tratamento de exceções em AspectJ
Cache Service is a project with the goal to make the Java requests cachable in a clean way.
This project uses the cross cutting concepts to achieve its goals.
Exception Handling is a project with the goal to make the Java exception handling cleaner and easier for the developer.
This project uses the cross cutting concepts to achieve its goals, such as exception wrapping and handling.
jvTask is a component processing framework where interaction between components is realized via independently deployed components called Tasks. Tasks are wired together through an event processing framework.
Eclipse plug-in that implements an approach under research, for automatic derivation of Framework-Specific Modeling Languages with code generation capabilities. The approach relies on Aspect-Oriented Programming.
I am studying XUnit framework in order to propose a unity test framework to AspectJ language. If you have any ideas or want to collaborate with me in this study, let me know, any help will be very welcome.