Best AI tools for< Analyze Twitter Data >

TweetSift is a powerful Twitter search tool that allows users to sift through tweets based on various criteria such as keywords, hashtags, and user mentions. It provides real-time results and analytics to help users monitor social media conversations effectively. With its user-friendly interface and advanced filtering options, TweetSift is a valuable tool for social media marketers, researchers, journalists, and anyone looking to gain insights from Twitter data.

Twitter Personality - AI Agent by Wordware is an AI application that analyzes your tweets to unveil your unique personality traits. It provides insights on your love life, goals, and how others perceive you. Powered by Wordware, an IDE for building AI agents, users can create their own AI app in approximately 15 minutes. The application is designed to help users discover more about themselves through their Twitter activity.

Spot A Bot is an AI tool that estimates the number of bot accounts on Twitter by analyzing Twitter trends. It provides insights into the prevalence of bots on the platform by analyzing current and past trends from different countries. The tool uses a model with 10% accuracy to analyze a total of 142,686 accounts and 3.484 million tweets. Users can track trends, check for bot activity, and gain a better understanding of Twitter's ecosystem.

ReplyGuy is an AI-powered tool that helps businesses generate leads by automatically responding to relevant mentions of their products or services on social media platforms like Reddit and Twitter. It uses natural language processing to craft personalized replies that aim to genuinely help the original poster while subtly mentioning the business's product or service. By automating this process, ReplyGuy saves businesses time and effort while increasing their reach and lead generation.

SortBird is an AI-driven application designed to provide deep insights for Twitter creators. It offers a comprehensive Followers Database to help users understand their Twitter audience better. By analyzing user data, SortBird aims to deliver valuable insights and statistics, enabling users to make informed decisions to enhance their Twitter presence and engagement. The application focuses on human-centric analytics, emphasizing the importance of quality relationships over mere numbers. SortBird is user-friendly, with a simple process of linking the Twitter account and receiving detailed reports. It also offers different subscription plans to cater to varying user needs.

Recognito is a leading facial recognition technology provider, offering the NIST FRVT Top 1 Face Recognition Algorithm. Their high-performance biometric technology is used by police forces and security services to enhance public safety, manage individual movements, and improve audience analytics for businesses. Recognito's software goes beyond object detection to provide detailed user role descriptions and develop user flows. The application enables rapid face and body attribute recognition, video analytics, and artificial intelligence analysis. With a focus on security, living, and business improvements, Recognito helps create safer and more prosperous cities.

Kolr is an AI influencer marketing solution expert that provides a comprehensive platform for brands to search, analyze, and optimize influencer marketing campaigns. With access to the world's largest database of over 300 million influencers, Kolr offers features such as competitor analysis, influencer search, influencer data analysis, project influencer repository, and influencer relationship management system. The platform combines powerful data analytics with a professional team to deliver high-impact influencer marketing strategies across various industries.

La Growth Machine is a multichannel sales automation tool that helps users import and enrich leads, automate conversions, manage leads, and analyze performances. It offers features such as LinkedIn Voice Messages, multichannel inbox, calls, automation of actions and messages, AI-powered writing assistance, campaign analysis, lead management, and more. La Growth Machine streamlines operational processes, enhances performance, and centralizes data in one place. With a focus on multi-channel prospecting, the tool aims to increase conversations and opportunities for users. Trusted by over 10,000 professionals, La Growth Machine provides a seamless experience for reaching out to leads across various platforms.

Iconosquare is a comprehensive social media analytics, management, and scheduling platform designed for brands and agencies. It offers a wide range of features to help businesses track their performance, create engaging content, and collaborate with their team. Iconosquare supports multiple social media platforms including Instagram, TikTok, LinkedIn, Twitter, and Facebook, providing users with a centralized hub to manage all their social media activities.

The website is a comprehensive platform that offers a wide range of AI tools and applications to enhance social media management, content creation, marketing strategies, and user engagement. Users can access advanced AI-driven features for automating workflows, generating personalized content, analyzing data, and optimizing online presence. The platform caters to entrepreneurs, marketers, business owners, and content creators seeking innovative solutions to streamline their digital strategies and boost online performance.

The Generative Press is a website that uses artificial intelligence to generate news articles. The AI personalities that write the articles surf Twitter and popular news sites, as well as read the latest tweets by verified citizen journalists, to learn about the latest happenings. The AI personalities then write the news articles after gathering all the context. The website is automated from beginning to end, with no editorial team or human intervention.

Octolens is an AI social listening tool that helps monitor keyword mentions on various social and community platforms. It provides real-time notifications for mentions on platforms like Twitter, LinkedIn, GitHub, and more. The tool uses AI to track conversations, complaints, and requests related to your product category, enabling businesses to engage with their audience effectively and stay informed about relevant discussions online.

AI Twitter Roast is an AI-powered application that generates humorous and edgy roasts based on people's tweets. The application uses cutting-edge artificial intelligence technology to analyze Twitter profiles and deliver personalized roasts. Users can unlock the full AI Twitter Roast for a fee of $0.99, which includes features like Roast, Animal But Roast-Style, Toast, and Roast Master. The application aims to provide entertainment and engage users in a lighthearted and fun activity on social media platforms like Twitter.

Tweetmonk is an AI-powered Twitter thread maker and analytics tool that helps you create engaging and high-performing Twitter threads. With Tweetmonk, you can easily plan, write, schedule, and analyze your Twitter threads, all in one place.

TwitterConnect Pro is an AI-driven tool designed to enhance business success through cold outreach on Twitter. The application leverages advanced AI technology to analyze Twitter profiles, identify high-potential leads, and send personalized messages to engage potential customers. With features like AI-driven analysis, personalized messaging, and generating tailored outreach messages, TwitterConnect Pro streamlines the process of reaching out to prospects and initiating conversations. The tool offers different pricing plans to cater to various business needs and provides email support for users. Overall, TwitterConnect Pro is a powerful AI tool that helps businesses amplify their success through targeted Twitter outreach.

Tweet Hunter is an AI-powered Twitter growth tool designed to help users build and monetize their Twitter audience. It offers features such as content creation, scheduling, automation, and analytics to drive engagement, sales, and subscribers. With a searchable library of viral tweets, AI-generated tweet suggestions, and advanced automation capabilities, Tweet Hunter streamlines the process of creating and sharing high-quality content on Twitter. The tool aims to save users time and effort by providing valuable insights, automating repetitive tasks, and optimizing tweet performance.

Drippi.ai is an AI-powered cold outreach assistant designed to automate personalized outreach messages on Twitter. It utilizes AI technology to streamline lead scraping, lead matching, and message tailoring for improved engagement and reply rates. The platform offers in-depth analytics, lead discovery solutions, and personalized campaigns to enhance user's Twitter DM campaigns. Drippi aims to help users save time and resources by automating the process of crafting highly targeted outreach messages.

TweetFox is the smartest Twitter growth platform for creating AI Tweets, Full length Threads, Interest based Unique Tweets everyday, Smart analytics & Growth Lab so you can grow at maximum.

Quuu is an AI-powered social media assistant that helps businesses grow their audience on Facebook, LinkedIn, and Twitter. It automatically curates and schedules engaging content that is tailored to each brand's unique voice and audience. Quuu also provides insights into audience engagement, so businesses can see what content is performing best and adjust their strategy accordingly.

Postlyy is an all-in-one platform designed to help content creators manage, schedule, and analyze content on social media platforms like Twitter and LinkedIn. It offers intuitive creation tools, deep analytics, and AI-powered features to enhance content creation and audience engagement. Postlyy aims to streamline content management processes, provide valuable insights, and empower users to grow their personal brand effectively.

This project enables you to fetch liked tweets from Twitter (using Selenium), save it to JSON and Excel files, and perform initial data analysis and image captions. This is part of the initial steps for a larger personal project involving Large Language Models (LLMs).

Databend is an open-source cloud data warehouse that serves as a cost-effective alternative to Snowflake. With its focus on fast query execution and data ingestion, it's designed for complex analysis of the world's largest datasets.

Trend Finder is a tool designed to help users stay updated on trending topics on social media by collecting and analyzing posts from key influencers. It sends Slack notifications when new trends or product launches are detected, saving time, keeping users informed, and enabling quick responses to emerging opportunities. The tool features AI-powered trend analysis, social media and website monitoring, instant Slack notifications, and scheduled monitoring using cron jobs. Built with Node.js and Express.js, Trend Finder integrates with Together AI, Twitter/X API, Firecrawl, and Slack Webhooks for notifications.

CipherChat is a novel framework designed to examine the generalizability of safety alignment to non-natural languages, specifically ciphers. The framework utilizes human-unreadable ciphers to potentially bypass safety alignments in natural language models. It involves teaching a language model to comprehend ciphers, converting input into a cipher format, and employing a rule-based decrypter to convert model output back to natural language.

Laminar is an all-in-one open-source platform designed for engineering AI products. It allows users to trace, evaluate, label, and analyze LLM data efficiently. The platform offers features such as automatic tracing of common AI frameworks and SDKs, local and online evaluations, simple UI for data labeling, dataset management, and scalability with gRPC communication. Laminar is built with a modern open-source stack including RabbitMQ, Postgres, Clickhouse, and Qdrant for semantic similarity search. It provides fast and beautiful dashboards for traces, evaluations, and labels, making it a comprehensive tool for AI product development.

FiftyOne Brain contains the open source AI/ML capabilities for the FiftyOne ecosystem, enabling users to automatically analyze and manipulate their datasets and models. Features include visual similarity search, query by text, finding unique and representative samples, finding media quality problems and annotation mistakes, and more.

Phoenix is a tool that provides MLOps and LLMOps insights at lightning speed with zero-config observability. It offers a notebook-first experience for monitoring models and LLM Applications by providing LLM Traces, LLM Evals, Embedding Analysis, RAG Analysis, and Structured Data Analysis. Users can trace through the execution of LLM Applications, evaluate generative models, explore embedding point-clouds, visualize generative application's search and retrieval process, and statistically analyze structured data. Phoenix is designed to help users troubleshoot problems related to retrieval, tool execution, relevance, toxicity, drift, and performance degradation.

LLM Datasets is a repository containing high-quality datasets, tools, and concepts for LLM fine-tuning. It provides datasets with characteristics like accuracy, diversity, and complexity to train large language models for various tasks. The repository includes datasets for general-purpose, math & logic, code, conversation & role-play, and agent & function calling domains. It also offers guidance on creating high-quality datasets through data deduplication, data quality assessment, data exploration, and data generation techniques.

Obsei is an open-source, low-code, AI powered automation tool that consists of an Observer to collect unstructured data from various sources, an Analyzer to analyze the collected data with various AI tasks, and an Informer to send analyzed data to various destinations. The tool is suitable for scheduled jobs or serverless applications as all Observers can store their state in databases. Obsei is still in alpha stage, so caution is advised when using it in production. The tool can be used for social listening, alerting/notification, automatic customer issue creation, extraction of deeper insights from feedbacks, market research, dataset creation for various AI tasks, and more based on creativity.

QMedia is an open-source multimedia AI content search engine designed specifically for content creators. It provides rich information extraction methods for text, image, and short video content. The tool integrates unstructured text, image, and short video information to build a multimodal RAG content Q&A system. Users can efficiently search for image/text and short video materials, analyze content, provide content sources, and generate customized search results based on user interests and needs. QMedia supports local deployment for offline content search and Q&A for private data. The tool offers features like content cards display, multimodal content RAG search, and pure local multimodal models deployment. Users can deploy different types of models locally, manage language models, feature embedding models, image models, and video models. QMedia aims to spark new ideas for content creation and share AI content creation concepts in an open-source manner.

BAML is a config file format for declaring LLM functions that you can then use in TypeScript or Python. With BAML you can Classify or Extract any structured data using Anthropic, OpenAI or local models (using Ollama) ## Resources  [Discord Community](https://discord.gg/boundaryml)  [Follow us on Twitter](https://twitter.com/boundaryml) * Discord Office Hours - Come ask us anything! We hold office hours most days (9am - 12pm PST). * Documentation - Learn BAML * Documentation - BAML Syntax Reference * Documentation - Prompt engineering tips * Boundary Studio - Observability and more #### Starter projects * BAML + NextJS 14 * BAML + FastAPI + Streaming ## Motivation Calling LLMs in your code is frustrating: * your code uses types everywhere: classes, enums, and arrays * but LLMs speak English, not types BAML makes calling LLMs easy by taking a type-first approach that lives fully in your codebase: 1. Define what your LLM output type is in a .baml file, with rich syntax to describe any field (even enum values) 2. Declare your prompt in the .baml config using those types 3. Add additional LLM config like retries or redundancy 4. Transpile the .baml files to a callable Python or TS function with a type-safe interface. (VSCode extension does this for you automatically). We were inspired by similar patterns for type safety: protobuf and OpenAPI for RPCs, Prisma and SQLAlchemy for databases. BAML guarantees type safety for LLMs and comes with tools to give you a great developer experience:  Jump to BAML code or how Flexible Parsing works without additional LLM calls. | BAML Tooling | Capabilities | | ----------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | BAML Compiler install | Transpiles BAML code to a native Python / Typescript library (you only need it for development, never for releases) Works on Mac, Windows, Linux  | | VSCode Extension install | Syntax highlighting for BAML files Real-time prompt preview Testing UI | | Boundary Studio open (not open source) | Type-safe observability Labeling |

ContextCite is a tool for attributing statements generated by LLMs back to specific parts of the context. It allows users to analyze and understand the sources of information used by language models in generating responses. By providing attributions, users can gain insights into how the model makes decisions and where the information comes from.

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

Synmetrix (prev. MLCraft) is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube (Cube.js) for flexible data models that consolidate metrics from various sources, enabling downstream distribution via a SQL API for integration into BI tools, reporting, dashboards, and data science. Use cases include data democratization, business intelligence, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

Synmetrix is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube.js to consolidate metrics from various sources and distribute them downstream via a SQL API. Use cases include data democratization, business intelligence and reporting, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

Inspectus is a versatile visualization tool for large language models. It provides multiple views, including Attention Matrix, Query Token Heatmap, Key Token Heatmap, and Dimension Heatmap, to offer insights into language model behaviors. Users can interact with the tool in Jupyter notebooks through an easy-to-use Python API. Inspectus allows users to visualize attention scores between tokens, analyze how tokens focus on each other during processing, and explore the relationships between query and key tokens. The tool supports the visualization of attention maps from Huggingface transformers and custom attention maps, making it a valuable resource for researchers and developers working with language models.

Autolabel is a Python library designed to label, clean, and enrich text datasets using Large Language Models (LLMs). It provides a simple 3-step process for labeling data, supports various NLP tasks, and offers features like confidence estimation, explanations, and state management. Users can access Refuel hosted LLMs for labeling and confidence estimation, and the library supports commercial and open source LLMs from providers like OpenAI, Anthropic, HuggingFace, and Google. Autolabel aims to streamline the labeling process for machine learning tasks by leveraging state-of-the-art LLM techniques and minimizing costs and experimentation time.

Screen-pipe is a Rust + WASM tool that allows users to turn their screen into actions using Large Language Models (LLMs). It enables users to record their screen 24/7, extract text from frames, and process text and images for tasks like analyzing sales conversations. The tool is still experimental and aims to simplify the process of recording screens, extracting text, and integrating with various APIs for tasks such as filling CRM data based on screen activities. The project is open-source and welcomes contributions to enhance its functionalities and usability.

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, ,'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in less than 3 words,Verb + noun form,in daily spoken language,in lowercase letters).Answer in english languagesname:Awesome-Chinese-LLM readme:# Awesome Chinese LLM   An Awesome Collection for LLM in Chinese 收集和梳理中文LLM相关    自ChatGPT为代表的大语言模型（Large Language Model, LLM）出现以后，由于其惊人的类通用人工智能（AGI）的能力，掀起了新一轮自然语言处理领域的研究和应用的浪潮。尤其是以ChatGLM、LLaMA等平民玩家都能跑起来的较小规模的LLM开源之后，业界涌现了非常多基于LLM的二次微调或应用的案例。本项目旨在收集和梳理中文LLM相关的开源模型、应用、数据集及教程等资料，目前收录的资源已达100+个！ 如果本项目能给您带来一点点帮助，麻烦点个⭐️吧～ 同时也欢迎大家贡献本项目未收录的开源模型、应用、数据集等。提供新的仓库信息请发起PR，并按照本项目的格式提供仓库链接、star数，简介等相关信息，感谢~

Expert on Twitter's recommendation algorithm with code insights.

Tweet Like a Growth Pro: Unleash Viral Tweets with Every Post. 🔥

Expert in high-impact Twitter content creation

As a 2024 presidential candidate, can you win the White House? Creator: https://twitter.com/HeySophiaHong

Effortlessly converse with your favorite apps in natural language and boost productivity (Microsoft, Google, LinkedIn,Twitter,TypeForm ...)

X（旧Twitter）アカウントの運用に関する専門的なアドバイスを提供するために設計されています。ユーザーが持つXアカウントのデータを分析し、エンゲージメントの向上、フォロワーの興味が高いトピックの把握、最適な投稿時間の特定などを行うことで、効果的なソーシャルメディア戦略を構築をサポートします。具体的には、ユーザーから提供されるXのアナリティクスデータを元に、高いエンゲージメントを得たツイートの特徴やエンゲージメントが低いツイートの改善点、インプレッションが高いツイートの分析などを行います。

Tracks latest UAP updates on Twitter from key figures and credible sources.

Engaging and detailed social media trends with analytics from Socials such as Instagram, Meta, Twitter(X), TikTok, and more. From Pixel Palette Nation🎨

Expert in crafting viral, tailored tweets with detailed research and analysis.

I analyze cognitive biases in scenarios and thoughts, providing neutral, educational insights.

Analyze and reverse engineer images. Receive style descriptions and image re-creation prompts.

I'll help you analyze market news and charts for trading/investing

I read and analyze annual reports of companies. Just upload the annual report PDF and start asking me questions!

As a Good Design Advisor, I provide consultation and advice on design topics and analyze designs that are provided through documents or links. I can also generate visual representations myself to illustrate design concepts.

I analyze historical events, offering insights from multiple perspectives.

For strategic knowledge distillation, upload the document you need to analyze and use !start. ENSURE the uploaded file shows DOCUMENT and NOT PDF. This workflow requires leveraging RAG to operate. Only a small amount of PDFs are supported, convert to txt or doc. For timeout, refresh & !continue

Critically analyze SLIs/SLOs with a deeper, provocative approach

Analyze any uploaded art piece, providing thoughtful insight on the history of the piece and its maker. Replicate art pieces in new styles generated by the user. Be an overall expert in art and help users navigate the art scene. Inform them of different types of art

I analyze situations using game theory to advise on the best strategic approach.

I analyze website screenshots for UI/UX improvements.