Best AI tools for< Network With Recruiters >

Pitch N Hire is an AI-powered Applicant Tracking & Assessment Software designed to assist recruiters in enhancing their talent decisions. The platform offers a robust data-driven approach with descriptive, predictive, and prescriptive analytics to address talent acquisition challenges. It provides insights into candidate behavior, automated processes, and a vast network of career sites. With advanced AI data models, the software forecasts on-the-job performance, streamlines talent pipelines, and offers personalized branded experiences for candidates.

Clay is a relationship management tool that helps users be more thoughtful with the people in their network. It goes beyond traditional CRM systems by automatically organizing, intelligently searching, and keeping the entire network in sync. With features like reminders, intelligent prompts, and real-time updates, Clay aims to revolutionize productivity, work, and happiness by facilitating meaningful connections and interactions.

FlashIntel is a revenue acceleration platform that offers a suite of tools and solutions to streamline sales and partnership processes. It provides features like real-time enrichment, personalized messaging, sequence and cadence, email deliverability, parallel dialing, account-based marketing, and more. The platform aims to help businesses uncover ideal prospects, target key insights, craft compelling outreach sequences, research companies and people's contacts in real-time, and execute omnichannel sequences with AI personalization.

LinkedIn is a professional networking site that helps users connect with other professionals in their field, find jobs, and learn new skills. It also provides a platform for users to share articles, insights, and updates on their work and career. LinkedIn is a valuable tool for anyone looking to advance their career or stay up-to-date on the latest industry trends.

LinkedIn is a professional networking site that helps users connect with other professionals, find jobs, and learn new skills. It is also a platform for businesses to post jobs and find candidates. LinkedIn uses AI to power many of its features, such as its job search algorithm and its personalized content recommendations.

Pathfinder is a career co-pilot that helps users connect with others who share similar career experiences, interests, or questions. It uses AI to find the perfect people and career advice for users in seconds. Pathfinder is building the world's first Career Co-pilot that taps into its Career Advice Network. Users can simply describe their career problem, interests, or questions, and the AI will find the perfect people and career advice for them in seconds.

PeerVibe is the first platform for your personalized profile with recommendations from colleagues! Sign up to get early access!

Lempod is an AI-powered LinkedIn automation tool designed to supercharge business growth by attracting 10x more views and user engagement on LinkedIn posts. It leverages genuine relationships to increase post visibility and engagement, with features like joining relevant engagement pods, selecting AI-generated comments, and tracking post performance. Trusted by 500+ companies worldwide, Lempod helps users in recruiting, personal branding, and marketing on LinkedIn, offering a seamless way to boost reach and attract top talents.

Talentpair is an AI-powered hiring platform that aims to revolutionize the recruitment process by leveraging artificial intelligence to match candidates with jobs in minutes. Founded in 2014 and launched in 2020, Talentpair has a network of over 1 million connections and a pool of more than 80,000 active candidates. The platform combines AI technology with professional Growth Partners to help candidates get hired faster and supports hiring at the highest level for tech companies to scale, build, and flourish. Talentpair also integrates blockchain technology for smart contract payouts and decentralized triggers.

CyberNative AI Social Network is a cutting-edge social network platform that integrates AI technology to enhance user experience and engagement. The platform focuses on topics related to AI, cybersecurity, gaming, science, and technology, providing a space for enthusiasts and professionals to connect, share insights, and stay updated on the latest trends. With a user-friendly interface and advanced AI algorithms, CyberNative AI Social Network offers a unique and interactive environment for users to explore diverse realms of virtual and augmented reality, cybersecurity, quantum computing, gaming, and more.

Vitrina Business Network is a global platform that connects entertainment companies worldwide, facilitating interactions between content acquirers, distributors, production, post-production, and localization services. The platform leverages data, AI, and human expertise to enhance business growth within the entertainment supply chain. Vitrina offers services such as content licensing, specialist services hiring, and networking opportunities for industry professionals. Through digital storefronts, users can showcase projects and services, fostering partnerships and business opportunities. The platform also provides market intelligence reports, case studies, and industry insights to help users make informed decisions and stay updated on the latest trends in the entertainment industry.

PR Daily is an AI-powered platform that empowers PR professionals with the latest news, insights, and networking opportunities. It provides a comprehensive resource for industry trends, best practices, and expert advice to enhance communication strategies and campaigns. The platform utilizes artificial intelligence to deliver personalized content, analyze data, and optimize media relations workflows. PR Daily aims to streamline PR processes, improve brand reputation, and drive engagement through innovative AI technologies.

Tech Jobs London is a job board that connects talented individuals with top companies in London's tech industry. The platform provides job opportunities in a range of fields such as software development, data analysis, and network administration.

HumanX 2025 is the #1 AI Conference of 2025 that focuses on actionable insights and real-world applications of AI solutions. The premier industry event features a comprehensive agenda with nine diverse tracks, over 300 expert speakers, and numerous opportunities for meaningful connections. From innovators introducing breakthrough technologies to ethicists and policymakers framing the conversation around responsible AI use, HumanX aims to shape a future where technology amplifies human capability and innovation.

Commit is a professional network for startup engineers. It features an AI Talent Agent that helps users find and apply to jobs that fit their developer profile. The platform also provides a community for users to connect with other engineers and collaborate on projects.

Podify is an AI-driven platform designed to help users grow their network through micro-communities. The platform leverages artificial intelligence to connect users with like-minded individuals and facilitate meaningful interactions. Users can discover new connections, engage in relevant discussions, and expand their network in a targeted and efficient manner. Podify offers a user-friendly interface and personalized recommendations to enhance the networking experience.

The AI+X Summit is the largest event focusing on AI research, development, and application in the German-speaking part of Switzerland. The event covers various tracks and workshops on topics such as AI in finance, urban mobility, human-centered design, generative AI, responsible AI, AI for science, and more. It aims to bring together industry professionals, startups, academia, and a wider ecosystem to explore the latest advancements in artificial intelligence and its applications across different sectors.

Enrollify is an AI application designed for higher education professionals to enhance student engagement, streamline admissions processes, and explore the transformative role of AI in higher education. The platform offers podcasts, articles, videos, and exclusive content to help users learn new skills, find innovative ideas, and network with industry experts.

Allganize Japan Blog is an AI tool that provides information and updates about Allganize, a company offering AI solutions for enterprises. The blog covers topics such as AI applications, events, partnerships, and technical explanations related to AI technologies like LLM (Large Language Model). It serves as a platform to showcase the company's products, services, and industry insights.

YC-GPT is an AI-powered mentor designed to assist individuals in growing their startup ventures. It leverages knowledge from Y Combinator (YC) partners and founders to provide valuable advice and guidance. The platform aims to help startups thrive by offering insights and recommendations based on industry expertise.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

Top AI Tools is a comprehensive, community-curated directory that aims to catalog and showcase the most outstanding AI-powered products. This index is not exhaustive, but rather a compilation of our research and contributions from the community.

LinkedIn_AIHawk is an automated tool designed to revolutionize the job search and application process on LinkedIn. It leverages automation and artificial intelligence to efficiently apply to relevant positions, personalize responses, manage application volume, filter listings, generate dynamic resumes, and handle sensitive information securely. The tool aims to save time, increase application relevance, and enhance job search effectiveness in today's competitive landscape.

Auto_Jobs_Applier_AIHawk is an AI-powered job search assistant that revolutionizes the job search and application process. It automates application submissions, provides personalized recommendations, and enhances the chances of landing a dream job. The tool offers features like intelligent job search automation, rapid application submission, AI-powered personalization, volume management with quality, intelligent filtering, dynamic resume generation, and secure data handling. It aims to address the challenges of modern job hunting by saving time, increasing efficiency, and improving application quality.

Resume Job Matcher is a Python script that automates the process of matching resumes to a job description using AI. It leverages the Anthropic Claude API or OpenAI's GPT API to analyze resumes and provide a match score along with personalized email responses for candidates. The tool offers comprehensive resume processing, advanced AI-powered analysis, in-depth evaluation & scoring, comprehensive analytics & reporting, enhanced candidate profiling, and robust system management. Users can customize font presets, generate PDF versions of unified resumes, adjust logging level, change scoring model, modify AI provider, and adjust AI model. The final score for each resume is calculated based on AI-generated match score and resume quality score, ensuring content relevance and presentation quality are considered. Troubleshooting tips, best practices, contribution guidelines, and required Python packages are provided.

**Advising App™** is a software solution created by Canyon GBS™ that includes a robust personal assistant designed to support student service professionals in their day-to-day roles. The assistant can help with research tasks, draft communication, language translation, content creation, student profile analysis, project planning, ideation, and much more. The software also includes a student service CRM designed to support the management of prospective and enrolled students. Key features of the CRM include record management, email and SMS, service management, caseload management, task management, interaction tracking, files and documents, and much more.

Awesome AI Tools is a curated list of popular tools and resources for artificial intelligence enthusiasts. It includes a wide range of tools such as machine learning libraries, deep learning frameworks, data visualization tools, and natural language processing resources. Whether you are a beginner or an experienced AI practitioner, this repository aims to provide you with a comprehensive collection of tools to enhance your AI projects and research. Explore the list to discover new tools, stay updated with the latest advancements in AI technology, and find the right resources to support your AI endeavors.

This repository contains a collection of papers and code for the CVPR 2024 conference. The papers cover a wide range of topics in computer vision, including object detection, image segmentation, image generation, and video analysis. The code provides implementations of the algorithms described in the papers, making it easy for researchers and practitioners to reproduce the results and build upon the work of others. The repository is maintained by a team of researchers at the University of California, Berkeley.

The NZT Poker AI Bot is an advanced tool designed to revolutionize poker gameplay by providing comprehensive features to dominate 17 rooms with the Cash Fish Monitor. It offers detailed analysis of opponents' VPIP and PFR, extensive hand history database, opponent exploitation techniques, data-driven intelligence, player profiles, advanced neural network technology, expert training, continuous refinement, and cutting-edge algorithms for maximizing poker profits. Created by a team of poker experts, this AI tool continuously adapts to the latest poker strategies and utilizes state-of-the-art technology to enhance decision-making prowess.

A bot that plays Tetris using deep reinforcement learning. The agent learns to play by training itself with a neural network and Q Learning algorithm. It explores different 'paths' to achieve higher scores and makes decisions based on predicted scores for possible moves. The game state includes attributes like lines cleared, holes, bumpiness, and total height. The agent is implemented in Python using Keras framework with a deep neural network structure. Training involves a replay queue, random sampling, and optimization techniques. Results show the agent's progress in achieving higher scores over episodes.

AireLibre is a community response to the need for freely, collaboratively, and decentralized air quality information. It includes projects like Red Descentralizada de Aire Libre (ReDAL), Linka, Linka Firmware, LinkaBot, AQmap, and Android/iOS apps. Users can join the network with a sensor communicating with Linka. Materials and tools are needed to build a sensor. The initiative is decentralized and open for community collaboration. Users can extend or add projects to AireLibre. The license allows for creating personal networks. AireLibre is not for professional/industrial/scientific/military use, and the sensors are not calibrated in Switzerland.

This course has 18 lessons. Each lesson covers its own topic so start wherever you like! Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both **Python** and **TypeScript** when possible. Each lesson also includes a "Keep Learning" section with additional learning tools. **What You Need** * Access to the Azure OpenAI Service **OR** OpenAI API - _Only required to complete coding lessons_ * Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses. * A Github account to fork this entire repo to your own GitHub account We have created a **Course Setup** lesson to help you with setting up your development environment. Don't forget to star (🌟) this repo to find it easier later. ## 🧠 Ready to Deploy? If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both **Python** and **TypeScript**. ## 🗣️ Meet Other Learners, Get Support Join our official AI Discord server to meet and network with other learners taking this course and get support. ## 🚀 Building a Startup? Sign up for Microsoft for Startups Founders Hub to receive **free OpenAI credits** and up to **$150k towards Azure credits to access OpenAI models through Azure OpenAI Services**. ## 🙏 Want to help? Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request ## 📂 Each lesson includes: * A short video introduction to the topic * A written lesson located in the README * Python and TypeScript code samples supporting Azure OpenAI and OpenAI API * Links to extra resources to continue your learning ## 🗃️ Lessons | | Lesson Link | Description | Additional Learning | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 00 | Course Setup | **Learn:** How to Setup Your Development Environment | Learn More | | 01 | Introduction to Generative AI and LLMs | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) work. | Learn More | | 02 | Exploring and comparing different LLMs | **Learn:** How to select the right model for your use case | Learn More | | 03 | Using Generative AI Responsibly | **Learn:** How to build Generative AI Applications responsibly | Learn More | | 04 | Understanding Prompt Engineering Fundamentals | **Learn:** Hands-on Prompt Engineering Best Practices | Learn More | | 05 | Creating Advanced Prompts | **Learn:** How to apply prompt engineering techniques that improve the outcome of your prompts. | Learn More | | 06 | Building Text Generation Applications | **Build:** A text generation app using Azure OpenAI | Learn More | | 07 | Building Chat Applications | **Build:** Techniques for efficiently building and integrating chat applications. | Learn More | | 08 | Building Search Apps Vector Databases | **Build:** A search application that uses Embeddings to search for data. | Learn More | | 09 | Building Image Generation Applications | **Build:** A image generation application | Learn More | | 10 | Building Low Code AI Applications | **Build:** A Generative AI application using Low Code tools | Learn More | | 11 | Integrating External Applications with Function Calling | **Build:** What is function calling and its use cases for applications | Learn More | | 12 | Designing UX for AI Applications | **Learn:** How to apply UX design principles when developing Generative AI Applications | Learn More | | 13 | Securing Your Generative AI Applications | **Learn:** The threats and risks to AI systems and methods to secure these systems. | Learn More | | 14 | The Generative AI Application Lifecycle | **Learn:** The tools and metrics to manage the LLM Lifecycle and LLMOps | Learn More | | 15 | Retrieval Augmented Generation (RAG) and Vector Databases | **Build:** An application using a RAG Framework to retrieve embeddings from a Vector Databases | Learn More | | 16 | Open Source Models and Hugging Face | **Build:** An application using open source models available on Hugging Face | Learn More | | 17 | AI Agents | **Build:** An application using an AI Agent Framework | Learn More | | 18 | Fine-Tuning LLMs | **Learn:** The what, why and how of fine-tuning LLMs | Learn More |

TokenFormer is a fully attention-based neural network architecture that leverages tokenized model parameters to enhance architectural flexibility. It aims to maximize the flexibility of neural networks by unifying token-token and token-parameter interactions through the attention mechanism. The architecture allows for incremental model scaling and has shown promising results in language modeling and visual modeling tasks. The codebase is clean, concise, easily readable, state-of-the-art, and relies on minimal dependencies.

CIFAR-10 Airbench is a project offering fast and stable training baselines for CIFAR-10 dataset, facilitating machine learning research. It provides easily runnable PyTorch scripts for training neural networks with high accuracy levels. The methods used in this project aim to accelerate research on fundamental properties of deep learning. The project includes GPU-accelerated dataloader for custom experiments and trainings, and can be used for data selection and active learning experiments. The training methods provided are faster than standard ResNet training, offering improved performance for research projects.

Deej-A.I. is an advanced machine learning project that aims to revolutionize music recommendation systems by using artificial intelligence to analyze and recommend songs based on their content and characteristics. The project involves scraping playlists from Spotify, creating embeddings of songs, training neural networks to analyze spectrograms, and generating recommendations based on similarities in music features. Deej-A.I. offers a unique approach to music curation, focusing on the 'what' rather than the 'how' of DJing, and providing users with personalized and creative music suggestions.

This repository contains self-trained single image super resolution (SISR) models. The models are trained on various datasets and use different network architectures. They can be used to upscale images by 2x, 4x, or 8x, and can handle various types of degradation, such as JPEG compression, noise, and blur. The models are provided as safetensors files, which can be loaded into a variety of deep learning frameworks, such as PyTorch and TensorFlow. The repository also includes a number of resources, such as examples, results, and a website where you can compare the outputs of different models.

Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. It is designed to be easy to get started with and simple to use for Java developers. DJL provides a native Java development experience and allows users to integrate machine learning and deep learning models with their Java applications. The framework is deep learning engine agnostic, enabling users to switch engines at any point for optimal performance. DJL's ergonomic API interface guides users with best practices to accomplish deep learning tasks, such as running inference and training neural networks.

A job assistant for CS grads, managing job applications and tracking in Excel.

Virtual networking coordinator connecting users with diverse experts for dynamic, informative discussions.

A professional GPT for IT resume advice, with the latest career skill tips

此空间将为中欧人才，企业，贸易，销售及广告等多产业方面搭建桥梁。

Expert in professional messaging, cover letters, and CV enhancement.

Finding the right place for you.

Veterans Empowerment & Growth Alliance. Expert, supportive, and humorously insightful.

同学你好，我是企业导师Sonya，我将帮助你与未来职场建立桥梁，是理论知识的传递者，更是技能实践的引导者，以及你的职业发展咨询师。快来向我提问吧！

I propose job transition training programs.

A networking aide for connecting with professionals.

帮助重要约会，比如第一次即将见对方父母，面试，见重要合作方等，提前准备，打造出良好印象和提前话题准备

Guiding midlife career transitions with wisdom and resource lists

A senior technical broker with deep knowledge of global tech developments.

Ace PE interviews with a bot trained on 1,000+ real interviews.

Spice up your meetings, events, or trainings with fun icebreakers

Expert on AI conferences, travel tips, and networking opportunities.

AI assistant that can help find placements and internships.

Your guide to niche music and musician connections.

It’s your first day! Excited, Nervous? Let me help you start off strong in your career. Type "help" for More Information

Guiding PhD students through their academic challenges