Best AI tools for< Export Leads Easily >

IG Lead Gen is an AI-powered tool designed to automate Instagram lead generation for B2B founders. It offers custom lead filtering based on metrics like Follower count, Following count, Age of Lead, Verification Status, and Link in Bio. The tool utilizes proprietary AI technology to identify and scrape active Instagram users likely to convert to customers. Users can effortlessly export leads in various formats through the advanced dashboard. IG Lead Gen aims to streamline the process of generating targeted leads, saving time, and enabling users to focus on growing their business.

Botmake.io is a simple and clean no-code chatbot creation tool that allows users to create chatbots without any coding experience. With Botmake.io, users can automate repetitive questions, import and export data in CSV format, customize the look and feel of their chatbots, extend their chatbots with apps, and embed their chatbots on their websites. Botmake.io offers a free plan and a premium plan with additional features.

CalcLeads is an AI-powered online calculator generator that allows users to easily create interactive and custom calculators for their websites without any coding skills required. The tool helps in boosting engagement, lead generation, and SEO effortlessly by providing personalized calculations and valuable insights to visitors. CalcLeads aims to enhance user experience, drive traffic, and convert visitors into leads through the use of interactive calculators.

Airscale is a lead generation tool that helps businesses find, enrich, and export leads from various sources. It offers a range of features including lead scraping, data enrichment, AI-powered content generation, and data cleaning. Airscale integrates with popular CRMs and outbound tools, making it easy for businesses to manage their lead generation process.

FinalScout is an AI-powered email finding and outreach tool that helps users extract valid email addresses from LinkedIn profiles and craft tailored emails with up to 98% deliverability. The tool enables users to scale their outreach efforts, connect with potential customers or clients, and prospect for new leads effortlessly. FinalScout also offers AI-powered email writing capabilities, making it easy to generate personalized emails using templates for various use cases. With features like a massive and accurate database, GDPR & CCPA compliance, and free trial options, FinalScout is a comprehensive solution for email outreach and prospecting.

Ezsales.ai is an AI-powered platform that revolutionizes LinkedIn lead generation and email outreach. It offers advanced features such as lead search and export, contact info search, and AI email writer to help users extract valuable leads, find accurate contact information, and craft personalized cold emails effortlessly. With real-time LinkedIn data access, high email validity, and AI-powered personalization, Ezsales.ai enhances users' cold outreach strategy, leading to higher response rates and improved sales outcomes. The platform is designed to supercharge B2B sales outreach by leveraging the power of AI and LinkedIn dynamics.

Tugan.ai is an AI tool designed to help entrepreneurs, marketers, and content creators transform any content, such as YouTube videos, articles, or websites, into original, world-class content and marketing. By leveraging AI technology, users can stand out in the competitive Attention Economy without struggling for ideas and writing. The tool offers various features to generate new leads, sales, and business opportunities, create full email sequences, expand professional networks on LinkedIn, accelerate product testing with high-converting ads, and create newsletters with valuable content. Tugan.ai provides instant writing that feels human-like, allows users to enter a URL and export results in one click, and aims to make content creation easier and more efficient for its users.

MyEmailExtractor is a free email extractor tool that helps you find and save emails from web pages to a CSV file. It's a great way to quickly increase your leads and grow your business. With MyEmailExtractor, you can extract emails from any website, including search engine results pages (SERPs), social media sites, and professional networking sites. The extracted emails are accurate and up-to-date, and you can export them to a CSV file for easy use.

DocsAI is an AI-powered document companion that helps you organize, search, and chat with your documents. It integrates with various sources, including websites, text files, PDFs, Docx, Notion, and Confluence. You can customize the companion's appearance to match your brand and suggest better answers to improve its accuracy. DocsAI also offers a chat widget that can be embedded on any website, allowing you to chat with your documents and get summaries, insights, and leads. It is mobile and tablet-friendly, and you can export chats and analyze data to identify trends and improve customer satisfaction. DocsAI is open source and offers custom prompts and multi-language support.

Rhetora AI is an AI-powered sales team playbook platform designed to help businesses generate consistent and qualified leads for their sales representatives. The platform leverages over 20 data providers and scrapes publicly available data sources to target ideal companies. Rhetora AI offers three different playbooks tailored for different needs, including founder-led, value-led, and signal-led playbooks. The platform also features smart engagement campaigns, AI-first CRM, and daily tasks execution managed by a combination of humans and AI.

SiteGPT is a customer support chatbot that can be trained on your website content. It can answer questions, provide support, and even generate leads. SiteGPT is easy to use and integrates with your favorite tools. With SiteGPT, you can provide 24/7 support to your customers without having to hire a large team of support agents.

FirmPilot is an AI Law Firm Marketing solution that helps law firms generate more leads and clients through AI-driven online marketing strategies. It automates the process of analyzing competitors, creating high-quality marketing content, and optimizing SEO and PPC ads to improve visibility and performance. FirmPilot offers real-time insights into lead generation tactics and is trusted by fast-growing law firms for its effectiveness and ease of use.

Data Hivemind is a company that provides automation services to businesses. They help businesses automate tasks such as lead generation, project management, recruiting, and CRM setup. Data Hivemind uses a variety of tools to automate tasks, including Zapier, Make.Com, Alteryx, N8N, Python, and others. They also offer a variety of services, including onboarding, weekly consultations, and documentation with every project.

PrimeLSA is an AI-driven Google Local Services Ads management agency that specializes in boosting local visibility for small and medium-sized businesses. They offer expert management services for various industries, including plumbing, HVAC, electrical, law, and more. PrimeLSA conducts comprehensive analyses of Local Services Ads accounts, identifies gaps, and implements tailored strategies to optimize campaigns for increased visibility and lead generation. The agency utilizes AI technology for lead dispute resolution, sales script analysis, and ad scaling to enhance the effectiveness of Local Services Ads. With a focus on maximizing revenue and improving customer service, PrimeLSA helps businesses stand out in local search results and attract high-quality leads.

Juan Beltrán is a website that offers AI applications and consulting services. The website provides a range of AI tools, including a LinkedIn lead generation tool, a LinkedIn profile optimizer, and a lead researcher tool. The website also offers a blog with articles on AI business transformation, AI use cases, and AI in the workplace. The website is designed to help businesses unlock the potential of AI and achieve exponential growth.

Prishal.ai is a premier digital marketing company offering cutting-edge AI-driven solutions to revolutionize businesses. With a strong presence in the United States and a new office in Patna, Prishal provides services such as digital marketing, SEO, social media marketing, web development, and more. The company is committed to delivering innovative solutions with a 95% satisfaction rate, aiming to be a trusted partner in growth and innovation globally.

Webware.ai is an all-in-one digital marketing solution designed for small businesses. The platform harnesses the power of Artificial Intelligence to create seamless website content, compelling blog posts, engaging social media updates, and persuasive email campaigns. It offers comprehensive digital solutions to help businesses thrive online, covering services like website development, marketing, and optimization. Webware.ai aims to simplify the internet for businesses by providing an easy-to-use platform with dedicated account management and expert support.

Allex is a project management and portfolio management software that offers a digital multi-project solution. It helps project professionals accelerate time-to-market results by harmonizing projects, resources, and tasks. The platform enables users to have a sweeping overview of projects, predict capacity bottlenecks, improve project coordination through collaboration, and communicate effectively with internal and external stakeholders. Allex is designed to handle complex projects and offers expert support to ensure informed decision-making from planning to launch.

Meera is a conversational text messaging platform designed for sales and marketing professionals to automate tedious tasks, engage leads effectively, and increase sales conversions. By leveraging AI technology, Meera helps businesses in various industries such as higher education, insurance, contact centers, financial services, and home services to streamline processes, nurture leads, and improve customer interactions. The platform offers features like lead qualification and nurturing, event management, live call transfers, appointment scheduling, and operations automation. Meera stands out by providing expert guidance, seamless integration with existing tech stacks, and a user-friendly interface. The application empowers users to send human-like text messages, schedule meetings, and boost connect rates, ultimately enhancing customer engagement and driving revenue growth.

PredictModel is an AI tool that specializes in creating custom Machine Learning models tailored to meet unique requirements. The platform offers a comprehensive three-step process, including generating synthetic data, training ML models, and deploying them to AWS. PredictModel helps businesses streamline processes, improve customer segmentation, enhance client interaction, and boost overall business performance. The tool maximizes accuracy through customized synthetic data generation and saves time and money by providing expert ML engineers. With a focus on automated lead prioritization, fraud detection, cost optimization, and planning, PredictModel aims to stay ahead of the curve in the ML industry.

RouteLLM is a framework for serving and evaluating LLM routers. It allows users to launch an OpenAI-compatible API that routes requests to the best model based on cost thresholds. Trained routers are provided to reduce costs while maintaining performance. Users can easily extend the framework, compare router performance, and calibrate cost thresholds. RouteLLM supports multiple routing strategies and benchmarks, offering a lightweight server and evaluation framework. It enables users to evaluate routers on benchmarks, calibrate thresholds, and modify model pairs. Contributions for adding new routers and benchmarks are welcome.

SenseVoice is a speech foundation model focusing on high-accuracy multilingual speech recognition, speech emotion recognition, and audio event detection. Trained with over 400,000 hours of data, it supports more than 50 languages and excels in emotion recognition and sound event detection. The model offers efficient inference with low latency and convenient finetuning scripts. It can be deployed for service with support for multiple client-side languages. SenseVoice-Small model is open-sourced and provides capabilities for Mandarin, Cantonese, English, Japanese, and Korean. The tool also includes features for natural speech generation and fundamental speech recognition tasks.

Langroid is a Python framework that makes it easy to build LLM-powered applications. It uses a multi-agent paradigm inspired by the Actor Framework, where you set up Agents, equip them with optional components (LLM, vector-store and tools/functions), assign them tasks, and have them collaboratively solve a problem by exchanging messages. Langroid is a fresh take on LLM app-development, where considerable thought has gone into simplifying the developer experience; it does not use Langchain.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

This is a development tutorial for eBPF based on CO-RE (Compile Once, Run Everywhere). It provides practical eBPF development practices from beginner to advanced, including basic concepts, code examples, and real-world applications. The tutorial focuses on eBPF examples in observability, networking, security, and more. It aims to help eBPF application developers quickly grasp eBPF development methods and techniques through examples in languages such as C, Go, and Rust. The tutorial is structured with independent eBPF tool examples in each directory, covering topics like kprobes, fentry, opensnoop, uprobe, sigsnoop, execsnoop, exitsnoop, runqlat, hardirqs, and more. The project is based on libbpf and frameworks like libbpf, Cilium, libbpf-rs, and eunomia-bpf for development.

doc-comments-ai is a tool designed to automatically generate code documentation using language models. It allows users to easily create documentation comment blocks for methods in various programming languages such as Python, Typescript, Javascript, Java, Rust, and more. The tool supports both OpenAI and local LLMs, ensuring data privacy and security. Users can generate documentation comments for methods in files, inline comments in method bodies, and choose from different models like GPT-3.5-Turbo, GPT-4, and Azure OpenAI. Additionally, the tool provides support for Treesitter integration and offers guidance on selecting the appropriate model for comprehensive documentation needs.

The `ai-models` command is a tool used to run AI-based weather forecasting models. It provides functionalities to install, run, and manage different AI models for weather forecasting. Users can easily install and run various models, customize model settings, download assets, and manage input data from different sources such as ECMWF, CDS, and GRIB files. The tool is designed to optimize performance by running on GPUs and provides options for better organization of assets and output files. It offers a range of command line options for users to interact with the models and customize their forecasting tasks.

LangWatch is a monitoring and analytics platform designed to track, visualize, and analyze interactions with Large Language Models (LLMs). It offers real-time telemetry to optimize LLM cost and latency, a user-friendly interface for deep insights into LLM behavior, user analytics for engagement metrics, detailed debugging capabilities, and guardrails to monitor LLM outputs for issues like PII leaks and toxic language. The platform supports OpenAI and LangChain integrations, simplifying the process of tracing LLM calls and generating API keys for usage. LangWatch also provides documentation for easy integration and self-hosting options for interested users.

Stable Diffusion web UI is a web interface for Stable Diffusion, implemented using Gradio library. It provides a user-friendly interface to access the powerful image generation capabilities of Stable Diffusion. With Stable Diffusion web UI, users can easily generate images from text prompts, edit and refine images using inpainting and outpainting, and explore different artistic styles and techniques. The web UI also includes a range of advanced features such as textual inversion, hypernetworks, and embeddings, allowing users to customize and fine-tune the image generation process. Whether you're an artist, designer, or simply curious about the possibilities of AI-generated art, Stable Diffusion web UI is a valuable tool that empowers you to create stunning and unique images.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

ReEdgeGPT is a tool designed for reverse engineering the chat feature of the new version of Bing. It provides documentation and guidance on how to collect and use cookies to access the chat feature. The tool allows users to create a chatbot using the collected cookies and interact with the Bing GPT chatbot. It also offers support for different modes like Copilot and Bing, along with plugins for various tasks. The tool covers historical information about Rome, the Lazio region, and provides troubleshooting tips for common issues encountered while using the tool.

Pax is a framework to configure and run machine learning experiments on top of Jax.

This repository contains the code that Defog uses for the evaluation of generated SQL. It's based off the schema from the Spider, but with a new set of hand-selected questions and queries grouped by query category. The testing procedure involves generating a SQL query, running both the 'gold' query and the generated query on their respective database to obtain dataframes with the results, comparing the dataframes using an 'exact' and a 'subset' match, logging these alongside other metrics of interest, and aggregating the results for reporting. The repository provides comprehensive instructions for installing dependencies, starting a Postgres instance, importing data into Postgres, importing data into Snowflake, using private data, implementing a query generator, and running the test with different runners.

The 'gritlm' repository provides all materials for the paper Generative Representational Instruction Tuning. It includes code for inference, training, evaluation, and known issues related to the GritLM model. The repository also offers models for embedding and generation tasks, along with instructions on how to train and evaluate the models. Additionally, it contains visualizations, acknowledgements, and a citation for referencing the work.

RayLLM (formerly known as Aviary) is an LLM serving solution that makes it easy to deploy and manage a variety of open source LLMs, built on Ray Serve. It provides an extensive suite of pre-configured open source LLMs, with defaults that work out of the box. RayLLM supports Transformer models hosted on Hugging Face Hub or present on local disk. It simplifies the deployment of multiple LLMs, the addition of new LLMs, and offers unique autoscaling support, including scale-to-zero. RayLLM fully supports multi-GPU & multi-node model deployments and offers high performance features like continuous batching, quantization and streaming. It provides a REST API that is similar to OpenAI's to make it easy to migrate and cross test them. RayLLM supports multiple LLM backends out of the box, including vLLM and TensorRT-LLM.

LLM training in simple, pure C/CUDA. There is no need for 245MB of PyTorch or 107MB of cPython. For example, training GPT-2 (CPU, fp32) is ~1,000 lines of clean code in a single file. It compiles and runs instantly, and exactly matches the PyTorch reference implementation. I chose GPT-2 as the first working example because it is the grand-daddy of LLMs, the first time the modern stack was put together.

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