This workflow automatically fetches the top 5 trending projects on Product Hunt from the past 24 hours every hour. It formats and pushes information such as project names, descriptions, and vote counts to a designated channel via a Discord bot. This allows team or community members to receive real-time updates on the latest popular products, enhancing information retrieval efficiency and addressing the cumbersome and delayed issues of manual queries. It is suitable for various scenarios, including product managers, entrepreneurs, and content operations.

This workflow automates the extraction of user reviews for specified companies on Trustpilot, parsing and organizing the review data, and synchronizing it in real-time to Google Sheets. It supports the extraction of the latest reviews from up to 100 pages, ensuring data integrity. By utilizing an automated process, it addresses the inefficiencies of traditional manual review exports, helping businesses quickly grasp customer feedback and enhance brand reputation management efficiency. This solution is applicable in various scenarios, including marketing, product optimization, and data analysis.

This workflow primarily facilitates the automatic uploading and optimization of locally generated or AI-generated images. By utilizing the ImgBB image hosting service, users can easily upload images and generate online links. Additionally, the ReSmush.it API is employed for lossless compression, significantly reducing image file sizes and improving loading speeds. Optional integration with OpenAI for generating illustrations further enhances creative efficiency. It is suitable for website management, e-commerce platforms, and content creators, streamlining the image processing workflow and improving user experience.

This workflow can automatically sync the content of emails with specific labels in Gmail to a Notion database, achieving efficient linkage between emails and tasks. The email subject will be used as the title of the Notion page, while the summary of the email body will become the page content, accompanied by a link to the email. Once users mark tasks as completed in Notion, the system will automatically remove the corresponding label from the email, ensuring that email management and task tracking are synchronized, thereby enhancing work efficiency and preventing information disarray and omissions.

This workflow can automatically monitor a specified Google Drive folder, real-time retrieve the content of newly uploaded Google Docs, and generate intelligent summaries using an AI model. The summaries and the information of the document uploaders will be automatically saved to Google Sheets, facilitating later management and quick reference. This process significantly improves document management efficiency, reduces the time spent on manual organization, and minimizes the risk of omissions, making it suitable for businesses, teams, and educational institutions that need to quickly obtain and organize document information.

This workflow can automatically convert static images of three-view orthographic projections (front view and side view) into dynamic rotating videos, enhancing visual presentation. By combining AI image generation technology with video generation interfaces, it can automatically generate multi-angle images and seamlessly synthesize them into dynamic videos, ensuring that the character's facial expressions remain unchanged. This process greatly simplifies the work of designers and animators, making it suitable for various scenarios such as game character design, animation production, and product demonstrations.

CallForge is an automated workflow focused on intelligent processing of sales calls. It can automatically extract detailed data and transcribed text from call recordings, accurately distinguishing between conversations of internal sales personnel and external customers. It integrates with Salesforce customer and opportunity data to generate structured call summaries and metadata, helping sales teams and related departments efficiently analyze customer communication content, enhance data utilization efficiency, and simplify the manual organization process, thereby optimizing business decision-making and operations.

This workflow allows users to quickly read local binary files (such as images, audio, etc.) from a specified path through manual triggering, enabling automated data retrieval. It simplifies the file processing process, making it suitable for scenarios that require dynamic loading of local file content. This significantly improves efficiency and addresses the cumbersome issue of obtaining local files in automated processes, making it particularly useful for developers and operations personnel.

This workflow automatically captures user subscription behavior by real-time monitoring of "subscribe" events in the mailing list and triggers subsequent actions based on different sources. This process eliminates the need for manual checks and enhances the efficiency of marketing automation. It is suitable for marketing teams and e-commerce platforms, enabling quick responses to new subscribers, implementing welcome email sends, and user segmentation, thereby helping to improve customer relationship management and user conversion rates.

This workflow is primarily used to check the availability of specified URLs and, upon confirming accessibility, automatically retrieves and displays detailed page information for those URLs. By integrating the Peekalink API, users can quickly determine whether a website is online and extract rich content from the page, helping them to understand web summaries in real time. This workflow is suitable for content editors, data analysts, and others, significantly improving work efficiency and avoiding the tedious process of manual checks.

This workflow is an intelligent Google Calendar assistant that utilizes OpenAI's GPT-4o language model, enabling users to quickly create and query calendar events through natural language. It features contextual memory, allowing it to understand the user's conversation history and provide accurate services. Additionally, the assistant can proactively confirm event information to avoid errors and omissions, greatly simplifying the calendar management process and improving work efficiency. It is suitable for professionals and teams that need to frequently schedule appointments.

This workflow automates the collection and screening of resumes in the recruitment process. It utilizes AI technology to accurately extract candidates' educational backgrounds, work experiences, and skills, and provides intelligent scoring based on recruitment needs. Ultimately, all candidate information is integrated and stored in Google Sheets, significantly improving recruitment efficiency and accuracy. Through end-to-end automation, it reduces the time and errors associated with manual screening, offering HR professionals and businesses an efficient and systematic candidate management solution.

This workflow builds an intelligent travel assistant that integrates large language models and vector search technology to achieve personalized travel recommendations and intelligent Q&A functions. Through dynamic data reception and chat memory, users can receive real-time updates on travel information, enhancing the interactive experience. At the same time, the system addresses issues such as the isolation of traditional travel information, inaccurate recommendations, and incoherent interactions, making it suitable for online travel platforms, travel agencies, and personal travel planning, significantly improving service intelligence and travel efficiency.

This workflow automates the process of helping users add new words from Google Sheets, automatically translating them into Chinese, generating pinyin and example sentences, and integrating relevant images. It consolidates all this information back into the spreadsheet. The core purpose is to enhance the efficiency of creating vocabulary flashcards, making it suitable for language learners, educators, and self-learners. It greatly simplifies the cumbersome material preparation process traditionally involved in language learning, making the learning experience more efficient and enjoyable.

This workflow automatically monitors new video uploads on specified YouTube channels, capable of real-time fetching of information for the latest four videos and pushing it to designated groups via a Telegram bot. It features a deduplication function to ensure that each video is pushed only once, preventing users from receiving duplicate notifications. This process greatly simplifies the dissemination of video content and enhances the speed of information reach, making it suitable for content creators, community managers, and digital marketing teams for efficient information distribution.

This workflow automatically collects potential customer information through forms, verifies the validity of business email addresses, and uses an intelligent scoring system to evaluate the value of customers. High-scoring customer information is pushed in real-time to Telegram, helping the sales team quickly access high-quality leads and improve response efficiency. This process simplifies potential customer management, avoids interference from spam information, and is suitable for scenarios such as B2B sales, marketing, and customer relationship management, enhancing data quality and operational efficiency.

This workflow automates the scheduled synchronization of contact data from Google Sheets to the Mautic marketing system. It reads contact information (such as email, name, and phone number) from a specified range every 5 minutes, ensuring real-time updates and accurate data transfer. This addresses the cumbersome and error-prone issues of traditional manual imports. It is suitable for digital marketers and marketing operations teams, enhancing the efficiency of marketing campaigns and improving customer conversion rates.

This workflow automatically scrapes the latest 20 technology articles from the TechCrunch website, extracting the title, publication time, images, links, and body content, and saves them in a structured format. Through fully automated scraping and multi-layer HTML parsing, it significantly enhances the efficiency of information retrieval, solving the cumbersome issue of manually collecting technology news. It is suitable for scenarios such as content operations, data analysis, and media monitoring, providing users with an efficient information acquisition solution.

This workflow is designed to automate the creation of tables, data insertion, and query operations in a MySQL database. Users can manually trigger the system, which will automatically execute table creation, insert specified data, and query all data in the table. This simplifies the traditional database management process, reduces human errors, and enhances work efficiency. It is suitable for scenarios such as database setup, automated data entry, and teaching demonstrations, helping developers and operations engineers quickly validate and manage database operations.

Once this workflow is manually triggered, it can automatically batch retrieve all contact information from the HubSpot system, significantly enhancing the efficiency of data synchronization and retrieval. It addresses the cumbersome issues of manual export and updates, making it suitable for marketing, sales, and customer service teams. This facilitates regular access to and analysis of contact data, supporting subsequent customer follow-ups and data integration, thereby improving overall work efficiency.

This workflow utilizes advanced artificial intelligence technology to automate the execution of in-depth research tasks. Users only need to input the research topic, and the system can generate precise search queries, conduct multiple rounds of online searches, and integrate information from various authoritative sources through intelligent analysis. Ultimately, the workflow produces a structured research report in Markdown format, significantly enhancing research efficiency and information accuracy. It is suitable for various scenarios such as academic research, market analysis, and product research, helping users quickly obtain comprehensive and valuable research results.

This workflow is designed to achieve automated analysis and reporting of financial performance. It automatically retrieves financial data from the previous month and the current year each month, conducts in-depth analysis of cost centers and projects, and generates structured HTML reports that include financial statements and business insights. Additionally, personalized reports are sent to management via email, helping the company quickly grasp the financial health and project operations of each business unit. This process effectively enhances the efficiency of financial analysis and the accuracy of decision-making.

This workflow automatically reads data from a specified range in Google Sheets at scheduled intervals and synchronizes it to two different table areas for real-time backup and collaborative updates. It runs every two minutes, effectively addressing the complexities of multi-table data synchronization and the risks of manual updates, thereby enhancing the efficiency and accuracy of data management. It is suitable for enterprise users and data analysts who require high-frequency data synchronization.

This workflow automates the execution of two SQL queries to obtain customer order data from 2003 to 2005. It compares the data based on customer ID and year fields, allowing for a quick identification of trends in order quantity and amount. It addresses the cumbersome and inefficient issues of manual data comparison, making it suitable for financial analysts, sales teams, and any professionals who need to compare order data from different time periods, significantly improving the efficiency and accuracy of data analysis.