Skywork

Convo is a platform driven by AI for carrying out qualitative user research via automated interviews and surveys. It facilitates natural voice dialogues and accommodates various languages, enabling researchers to acquire comprehensive insights on a large scale. The tool instantly analyzes responses, offering value to product managers, UX designers, and market researchers requiring prompt, real-time feedback from users to guide decision-making and enhance product experiences.

ScrapeGraphAI is a groundbreaking Python library that integrates Large Language Models (LLMs) with graph-based workflows to streamline web scraping. It automates the process of extracting data from websites and different file formats, adjusting to modifications in website structures without the need for manual updates. This tool is ideal for developers, researchers, businesses, and content creators in search of efficient, flexible web scraping solutions. Users may opt for ScrapeGraphAI due to its ease of use, adaptability, efficiency, and versatility in managing complex data extraction tasks across various sources and formats.

Inari is an AI-driven platform designed for customer feedback management, enabling teams to automate the processes of feedback analysis, generating insights, and managing backlogs. It consolidates both unstructured and structured customer feedback into a single hub, offering an efficient workflow for handling the data. The tool automatically assesses customer sentiment and highlights key requests, issues, praise, and insights obtained from user interviews. Inari also uncovers product insights, visualizes trends in real-time, and allows users to directly associate customers with requests, questions, behaviors, and other insights. Moreover, Inari can send insights, summaries, and backlog requests directly to applications like Slack, JIRA, and Linear.