Best AI tools for< Find Influencers >

The Bazaarvoice affable.ai platform is an AI-driven influencer marketing solution that helps brands find, manage, and measure creator collaborations. It offers a range of features to help brands connect with the right creators, manage campaigns, and track results. The platform includes a database of over 100,000 creators, advanced search filters, campaign management tools, and reporting dashboards.

HOLLYFY is a collaboration platform for content creators and advertisers. It provides a range of services, including a collaboration platform, digital advertising, design and creative, and website development. HOLLYFY uses artificial intelligence to match content creators with brand marketers, making it easy for brands to find and collaborate with the right influencers. HOLLYFY also offers a managed service for advertisers, which takes care of the entire process of finding and managing brand integrations.

Odeist is an AI-powered social media discovery and engagement solution that helps businesses find, engage, and grow their audience on social media. It uses artificial intelligence to analyze social media data and identify the most relevant influencers, content, and conversations for each business. Odeist then provides businesses with the tools they need to engage with these influencers and audiences, and track their results. With Odeist, businesses can save time and effort on social media marketing, and get better results.

InsightIQ is a leading influencer marketing platform that connects brands with influencers to create successful campaigns. It offers a range of features to help brands find the right influencers, track campaign performance, and measure ROI. InsightIQ's platform is used by some of the world's leading brands, including Unilever, PepsiCo, and Coca-Cola.

Favikon is an AI-powered influencer marketing platform that helps businesses find and manage influencers for their marketing campaigns. It offers a range of features to help businesses with influencer discovery, tracking, and reporting. Favikon's AI-powered discovery feature enables businesses to find influencers across more than 600 specialized niches effortlessly. The platform also provides in-depth profiles of creators to understand their social media influence and popularity. Favikon's AI-powered rankings help businesses identify trending topics, popular formats, and emerging creators within their industry. The platform also offers a tracking feature to stay updated on the latest trends and posts across social media platforms.

eezyCollab is an AI-powered influencer marketing tool that helps businesses find and collaborate with influencers. It uses AI to match businesses with the right influencers for their campaigns, and it also provides a bulk emailing feature to help businesses reach out to multiple influencers at once. eezyCollab is affordable and easy to use, making it a great option for businesses of all sizes.

Influencity is a comprehensive influencer marketing platform that empowers brands, agencies, and e-commerce businesses to streamline their influencer marketing campaigns. The platform offers a wide range of features such as finding influencers, analyzing data, managing relationships, and measuring campaign results. Influencity leverages AI-powered tools to provide fast and accurate insights, helping users make data-driven decisions and optimize their influencer marketing strategies. With a focus on efficiency and effectiveness, Influencity aims to simplify the influencer marketing process and drive sales for businesses of all sizes.

Impulze.ai is an Influencer Analytics Platform designed to help users discover and manage influencers from a vast global database covering Instagram, TikTok, and YouTube. The platform offers AI algorithms that effectively identify the right influencers, allowing users to effortlessly filter influencers based on various criteria such as engagement rate, follower count, location, age, and gender. Additionally, Impulze.ai provides audience analytics, fraud detection, and data-driven matching to help users find the perfect match for their brand. With features like real-time performance metrics, audience filters, and campaign tracking, Impulze.ai streamlines influencer marketing strategies for agencies and marketers, saving time and enhancing brand awareness.

vHub.ai is an AI-powered Influencer Marketing SaaS Platform that offers a comprehensive suite of tools to streamline influencer marketing campaigns. With features like in-depth influencer insights, authenticity assurance, instant campaign analytics, effortless influencer coordination, and tailor-made campaign strategies, vHub.ai aims to revolutionize the way brands collaborate with influencers. The platform boasts a database of 5 million influencers and 100's of influencer marketing agencies, providing users with the perfect influencer at optimal pricing. By leveraging AI search engine capabilities and VQS (vHub Quality Score), vHub.ai ensures genuine connections and successful influencer partnerships. Users can track campaign performance in real-time, manage all types of campaigns, and customize strategies with precision. With a focus on data-driven influencer discovery, authentic campaigns, custom success campaigns, ROI-driven marketing, and streamlined campaign management, vHub.ai empowers brands to maximize their influencer marketing ROI and reach.

Socialfaim is an AI-powered influencer marketing platform that leverages artificial intelligence to help businesses identify and collaborate with influencers to promote their products or services. The platform uses advanced algorithms to analyze social media data and identify the most relevant influencers for a brand's target audience. By automating the influencer discovery and outreach process, Socialfaim streamlines influencer marketing campaigns and helps businesses reach a wider audience more effectively.

Lionize AI is an AI-powered influencer marketing platform that streamlines the process of sourcing, recruiting, managing, and tracking influencers for marketing campaigns. It uses AI technology to match brands with authentic and unique influencers from social media, providing a seamless experience for influencer marketing campaigns. The platform offers features such as influencer search, user-generated content management, influencer analytics, agency services, and creator recruitment. Lionize AI aims to revolutionize influencer marketing by leveraging AI to optimize influencer selection and management processes.

Pitchbox is an AI-powered link building software designed for SEO professionals. It offers a comprehensive suite of tools for prospecting, outreach, and follow-up, all aimed at helping brands, publishers, and agencies promote their content effectively. With features like AI personalization, automated follow-ups, CRM integration, and detailed analytics, Pitchbox streamlines the link building process and maximizes results. Trusted by thousands of users worldwide, Pitchbox is a top choice for scaling outreach efforts and building high-quality backlinks.

Viral Magic is an AI-powered influencer agency that leverages advanced algorithms to match brands with the most suitable influencers for their marketing campaigns. The platform streamlines the influencer marketing process by providing data-driven insights and analytics to optimize campaign performance. With a vast network of influencers across various industries, Viral Magic helps brands reach their target audience effectively and efficiently.

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.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

Examor is a website application that allows you to take exams based on your knowledge notes. It helps you to remember what you have learned and written. The application generates a set of questions from the documents you upload, and you can answer them to test your knowledge. Examor also uses GPT to score and validate your answers, and provides you with feedback. The application is still in its early stages of development, but it has the potential to be a valuable tool for learners.

Quantus is a toolkit designed for the evaluation of neural network explanations. It offers more than 30 metrics in 6 categories for eXplainable Artificial Intelligence (XAI) evaluation. The toolkit supports different data types (image, time-series, tabular, NLP) and models (PyTorch, TensorFlow). It provides built-in support for explanation methods like captum, tf-explain, and zennit. Quantus is under active development and aims to provide a comprehensive set of quantitative evaluation metrics for XAI methods.

SurveyX is an advanced academic survey automation system that leverages Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. Users can request comprehensive academic papers or surveys tailored to specific topics by providing a paper title and keywords for literature retrieval. The system streamlines academic research by automating paper creation, saving users time and effort in compiling research content.

A curated list of Generative AI projects, tools, artworks, and models

Tribe AI is a low code tool designed to rapidly build and coordinate multi-agent teams. It leverages the langgraph framework to customize and coordinate teams of agents, allowing tasks to be split among agents with different strengths for faster and better problem-solving. The tool supports persistent conversations, observability, tool calling, human-in-the-loop functionality, easy deployment with Docker, and multi-tenancy for managing multiple users and teams.

MFLUX is a line-by-line port of the FLUX implementation in the Huggingface Diffusers library to Apple MLX. It aims to run powerful FLUX models from Black Forest Labs locally on Mac machines. The codebase is minimal and explicit, prioritizing readability over generality and performance. Models are implemented from scratch in MLX, with tokenizers from the Huggingface Transformers library. Dependencies include Numpy and Pillow for image post-processing. Installation can be done using `uv tool` or classic virtual environment setup. Command-line arguments allow for image generation with specified models, prompts, and optional parameters. Quantization options for speed and memory reduction are available. LoRA adapters can be loaded for fine-tuning image generation. Controlnet support provides more control over image generation with reference images. Current limitations include generating images one by one, lack of support for negative prompts, and some LoRA adapters not working.

AI-PhD-S24 is a mono-repo for the PhD course 'AI for Business Research' at CUHK Business School in Spring 2024. The course aims to provide a basic understanding of machine learning and artificial intelligence concepts/methods used in business research, showcase how ML/AI is utilized in business research, and introduce state-of-the-art AI/ML technologies. The course includes scribed lecture notes, class recordings, and covers topics like AI/ML fundamentals, DL, NLP, CV, unsupervised learning, and diffusion models.

MAVIS (Math Visual Intelligent System) is an AI-driven application that allows users to analyze visual data such as images and generate interactive answers based on them. It can perform complex mathematical calculations, solve programming tasks, and create professional graphics. MAVIS supports Python for coding and frameworks like Matplotlib, Plotly, Seaborn, Altair, NumPy, Math, SymPy, and Pandas. It is designed to make projects more efficient and professional.

This repository provides a collection of tools and techniques for defending against injection attacks in software applications. It includes code samples, best practices, and guidelines for implementing secure coding practices to prevent common injection vulnerabilities such as SQL injection, XSS, and command injection. The tools and resources in this repository aim to help developers build more secure and resilient applications by addressing one of the most common and critical security threats in modern software development.

aiograpi is an asynchronous Instagram API wrapper for Python that allows users to interact with various Instagram functionalities such as retrieving public data of users, posts, stories, followers, and following users, managing proxy servers and challenge resolver, login by different methods, managing messages and threads, downloading and uploading various types of content, working with insights, likes, comments, and more. It is designed for testing or research purposes rather than production business use.

This repo contains official implementations of **Coach AI Badminton Project** from Advanced Database System Laboratory, National Yang Ming Chiao Tung University supervised by Prof. Wen-Chih Peng. The high-level concepts of each project are as follows: 1. Visualization Platform published at _Physical Education Journal 2020_ aims to construct a platform that can be used to illustrate the data from matches. 2. Shot Influence and Extension Work published at _ICDM-21_ and _ACM TIST 2022_ , respectively introduce a framework with a shot encoder, a pattern extractor, and a rally encoder to capture long short-term dependencies for evaluating players' performance of each shot. 3. Stroke Forecasting published at _AAAI-22_ proposes the first stroke forecasting task to predict the future strokes of both players based on the given strokes by ShuttleNet, a position-aware fusion of rally progress and player styles framework. 4. Strategic Environment published at _AAAI-23 Student Abstract_ designs a safe and reproducible badminton environment for turn-based sports, which simulates rallies with different angles of view and designs the states, actions, and training procedures. 5. Movement Forecasting published at _AAAI-23_ proposes the first movement forecasting task, which contains not only the goal of stroke forecasting but also the movement of players, by DyMF, a novel dynamic graphs and hierarchical fusion model based on the proposed player movements (PM) graphs. 6. CoachAI-Challenge-IJCAI2023 is a badminton challenge (CC4) hosted at _IJCAI-23_. Please find the website for more details. 7. ShuttleSet published at _KDD-23_ is the largest badminton singles dataset with stroke-level records. - An extension dataset ShuttleSet22 published at _IJCAI-24 Demo & IJCAI-23 IT4PSS Workshop_ is also released. 8. CoachAI Badminton Environment published at _AAAI-24 Student Abstract and Demo, DSAI4Sports @ KDD 2023_ is a reinforcement learning (RL) environment tailored for AI-driven sports analytics, offering: i) Realistic opponent simulation for RL training; ii) Visualizations for evaluation; and iii) Performance benchmarks for assessing agent capabilities.

ComfyUI-HunyuanVideo-Nyan is a repository that provides tools for manipulating the attention of LLM models, allowing users to shuffle the AI's attention and cause confusion. The repository includes a Nerdy Transformer Shuffle node that enables users to mess with the LLM's attention layers, providing a workflow for installation and usage. It also offers a new SAE-informed Long-CLIP model with high accuracy, along with recommendations for CLIP models. Users can find detailed instructions on how to use the provided nodes to scale CLIP & LLM factors and create high-quality nature videos. The repository emphasizes compatibility with other related tools and provides insights into the functionality of the included nodes.

The Diagram of Thought is a tool designed to visualize and analyze complex thought processes. It provides a graphical representation of reasoning and decision-making, allowing users to map out their ideas and explore different paths of thinking. By using this tool, individuals can gain insights into their cognitive processes and enhance their problem-solving skills. The Diagram of Thought aims to facilitate a deeper understanding of how thoughts are interconnected and how they influence our actions and perceptions.

Find influencers across Instagram, TikTok, and YouTube whose audience aligns with your target demographic to effectively engage with your customers.

Dios Especializado en Tendencias de Redes Sociales, Contenido Viral y Marketing de Influencers en Español.

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