Best AI tools for< Product Research >

HelpMoji Research is an AI-powered product research assistant that allows users to conduct product research in peace without being tracked by search and ad giants. It provides an ad-free and distraction-free environment for users to focus on their research. The tool works on all devices and browsers, ensuring accessibility for all users.

Maze is a continuous product discovery platform that enables users to enrich product decisions with intuitive user research. It offers a wide range of features such as prototype testing, website testing, surveys, interview studies, and more. With AI-powered tools and integrations with popular design tools, Maze helps users scale user insights and speed up product launches. The platform provides Enterprise-level protection, encrypted transmission, access control, data center security, GDPR compliance, SSO, and private workspaces to ensure data security and compliance. Trusted by companies of all industries and sizes, Maze empowers teams to make user-informed decisions and drive faster product iteration for a better user experience.

Personno.ai is an AI-driven market research platform that provides businesses with access to a pool of AI-generated respondents. These respondents are designed to mimic the behavior and characteristics of real human respondents, allowing businesses to conduct research studies quickly and cost-effectively. Personno.ai's platform includes a range of features that make it easy to create and manage research studies, including the ability to create custom audiences, conduct real-time interviews, and collect both qualitative and quantitative data.

Osum is an AI-powered market research tool that provides instant access to detailed competitive research, SWOT analysis, buyer personas, growth opportunities, and more for any product or business. It helps businesses save time and make better decisions by providing them with the insights they need to succeed.

EtsyHunt is an AI-powered platform designed to assist Etsy sellers in improving their shop ranking and visibility. With a comprehensive set of tools for product research, keyword analysis, shop optimization, and competitor tracking, EtsyHunt offers valuable insights and solutions to enhance the efficiency of Etsy operations. The platform boasts the world's largest database of ecommerce products, including millions of Etsy products, tags, and shops. By leveraging AI technology, EtsyHunt empowers sellers to make data-driven decisions and stay ahead in the competitive Etsy marketplace.

Hubble is an all-in-one user research software that provides tools for continuous discovery. It offers a variety of features such as in-product research, contextual surveys, user targeting, prototype tests, usability tests, and more. Hubble empowers product teams to collect feedback from users, make informed decisions, and enhance product development cycles.

VOC AI is a unified customer experience management platform that fuses customer insights with AI chatbot excellence. It offers tools for Amazon sellers such as market insight, sentiment analysis, competitive analysis, and product research. The platform helps users understand customer needs, develop better products, and enhance services. VOC AI also provides features like social listening, unit converter, and various AI tools to attract leads and drive conversions. With a focus on customer analytics and review analysis, VOC AI aims to help businesses increase sales and customer satisfaction through AI-driven solutions.

Dropy.AI is an AI-powered dropshipping tool designed to revolutionize e-commerce success. With advanced AI features, Dropy helps entrepreneurs source winning products, automate daily tasks, and gain insights into competitor strategies. The tool offers a seamless experience for creating professional stores, importing products with one click, and optimizing social media presence. Dropy.AI aims to streamline dropshipping workflows, increase efficiency, and drive revenue growth for online businesses.

Kraftful is an AI-powered tool that helps product teams collect, analyze, and prioritize user feedback. It integrates with various feedback sources, such as surveys, app store reviews, support tickets, and user interviews, to provide a comprehensive view of user needs and pain points. Kraftful uses natural language processing and machine learning to automatically categorize and summarize feedback, making it easy for product teams to identify trends and make data-driven decisions.

Notably is a research synthesis platform that uses AI to help researchers analyze and interpret data faster. It offers a variety of features, including a research repository, AI research, digital sticky notes, video transcription, and cluster analysis. Notably is used by companies and organizations of all sizes to conduct product research, market research, academic research, and more.

Adminer is a comprehensive platform designed to assist e-commerce entrepreneurs in identifying, analyzing, and validating profitable products. It leverages artificial intelligence to provide users with data-driven insights, enabling them to make informed decisions and optimize their product offerings. Adminer's suite of features includes product research, market analysis, supplier evaluation, and automated copywriting, empowering users to streamline their operations and maximize their sales potential.

WinningHunter is a powerful product research tool that helps you find winning products to sell online. It has a variety of features that make it easy to find products that are trending, have high sales volume, and are likely to be profitable. WinningHunter also provides data on ad spend, revenue, and other metrics to help you make informed decisions about which products to sell.

PPSPY is an AI-powered Shopify spy and sales tracker tool designed for dropshipping businesses. It offers a comprehensive suite of features to help users identify winning products, track competitors' sales, conduct market research, and optimize their Shopify stores. With AI assistance, users can make informed decisions, improve success rates, and boost profitability. PPSPY is trusted by over 130,000 merchants and provides valuable insights to enhance e-commerce strategies.

Sell The Trend is an all-in-one AI-powered dropshipping software that provides users with the tools they need to find winning products, connect with quality suppliers, create high-converting product pages, simplify store management, and promote and grow their store. With Sell The Trend, users can access a database of over 7.32 million products across 83 popular dropshipping niches, get detailed information on product performance, and use predictive AI technology to forecast the success of new products. Sell The Trend also offers a range of tools to help users create high-converting product pages, manage their inventory and orders, and promote their store on social media. With Sell The Trend, users can streamline their dropshipping operations and increase their chances of success.

ProductHunt AI 2.0 is a no-BS product finder that makes it super easy to find super-effective products and alternatives on the go with semantic searches. It is 100% free to use and backed by Supervised AI. With ProductHunt AI 2.0, you can build agents like this with no-code, use free open-source AI models, or deploy your own language model.

AskMore is an AI-powered platform for conducting user interviews and product research. The tool utilizes artificial intelligence to streamline the interview process, enabling users to gather feedback more efficiently and in multiple languages. By automating tasks such as generating reports and translating interviews, AskMore helps users access valuable insights and reach a broader audience. The platform aims to enhance the user research experience by offering a user-friendly interface and research best practices to ensure high-quality feedback.

RhetorAI is a feedback collection AI for businesses. It uses ChatGPT to interview customers and provide insights. With RhetorAI, businesses can get real feedback from their users anytime, anywhere. It's like having a 24/7 product researcher on your team.

SmartScout is a comprehensive Amazon FBA product research software designed to help grow wholesale, arbitrage, and private label businesses. It provides valuable insights and tools for Amazon sellers to make informed decisions, increase revenue, and discover new opportunities. With features like Ad Spy, AI Listing Architect, FBA Calculator, Keyword Detective, and Seller Tools, SmartScout offers a competitive edge in the e-commerce landscape. The platform also offers resources such as industry reports, a blog, and a university to educate users on leveraging its tools effectively.

Peeksta is a powerful dropshipping product research tool designed to assist e-commerce entrepreneurs in discovering the best products to sell for their online businesses. It uses advanced algorithms and data analysis to provide insights into trending and profitable products, simplifying the product research process and making it easier for users to identify high-potential items. With features such as AI-powered landing page builders, a curated list of winning products, Facebook and TikTok ad analysis, and in-depth store research, Peeksta empowers users to make informed decisions and optimize their product strategies for success.

Hulk is an AI-powered shopping assistant that helps users find the best products for their needs. It uses natural language processing to understand user queries and provides personalized product recommendations. Hulk can also be used to track orders, get shipping updates, and ask for help with returns. It is a convenient and time-saving tool for online shoppers.

This repository contains code released by Google Research. All datasets in this repository are released under the CC BY 4.0 International license, which can be found here: https://creativecommons.org/licenses/by/4.0/legalcode. All source files in this repository are released under the Apache 2.0 license, the text of which can be found in the LICENSE file.

**Curated collection of papers and resources on how to unlock the reasoning ability of LLMs and MLLMs.** **Description in less than 400 words, no line breaks and quotation marks.** Large Language Models (LLMs) have revolutionized the NLP landscape, showing improved performance and sample efficiency over smaller models. However, increasing model size alone has not proved sufficient for high performance on challenging reasoning tasks, such as solving arithmetic or commonsense problems. This curated collection of papers and resources presents the latest advancements in unlocking the reasoning abilities of LLMs and Multimodal LLMs (MLLMs). It covers various techniques, benchmarks, and applications, providing a comprehensive overview of the field. **5 jobs suitable for this tool, in lowercase letters.** - content writer - researcher - data analyst - software engineer - product manager **Keywords of the tool, in lowercase letters.** - llm - reasoning - multimodal - chain-of-thought - prompt engineering **5 specific tasks user can use this tool to do, in less than 3 words, Verb + noun form, in daily spoken language.** - write a story - answer a question - translate a language - generate code - summarize a document

Cool-GenAI-Fashion-Papers is a curated list of resources related to GenAI-Fashion, including papers, workshops, companies, and products. It covers a wide range of topics such as fashion design synthesis, outfit recommendation, fashion knowledge extraction, trend analysis, and more. The repository provides valuable insights and resources for researchers, industry professionals, and enthusiasts interested in the intersection of AI and fashion.

Awesome LLM compression research papers and tools to accelerate LLM training and inference.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

This repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. It includes monthly best GenAI papers list, interview resources, free courses, and code repositories/notebooks for developing generative AI applications. The repository is regularly updated with the latest additions to keep users informed and engaged in the field of generative AI.

Awesome LLM is a curated list of resources related to Large Language Models (LLMs), including models, projects, datasets, benchmarks, materials, papers, posts, GitHub repositories, HuggingFace repositories, and reading materials. It provides detailed information on various LLMs, their parameter sizes, announcement dates, and contributors. The repository covers a wide range of LLM-related topics and serves as a valuable resource for researchers, developers, and enthusiasts interested in the field of natural language processing and artificial intelligence.

fastRAG is a research framework designed to build and explore efficient retrieval-augmented generative models. It incorporates state-of-the-art Large Language Models (LLMs) and Information Retrieval to empower researchers and developers with a comprehensive tool-set for advancing retrieval augmented generation. The framework is optimized for Intel hardware, customizable, and includes key features such as optimized RAG pipelines, efficient components, and RAG-efficient components like ColBERT and Fusion-in-Decoder (FiD). fastRAG supports various unique components and backends for running LLMs, making it a versatile tool for research and development in the field of retrieval-augmented generation.

The AI Scientist is a comprehensive system for fully automatic scientific discovery, enabling Foundation Models to perform research independently. It aims to tackle the grand challenge of developing agents capable of conducting scientific research and discovering new knowledge. The tool generates papers on various topics using Large Language Models (LLMs) and provides a platform for exploring new research ideas. Users can create their own templates for specific areas of study and run experiments to generate papers. However, caution is advised as the codebase executes LLM-written code, which may pose risks such as the use of potentially dangerous packages and web access.

AI2BMD is a program for efficiently simulating protein molecular dynamics with ab initio accuracy. The repository contains datasets, simulation programs, and public materials related to AI2BMD. It provides a Docker image for easy deployment and a standalone launcher program. Users can run simulations by downloading the launcher script and specifying simulation parameters. The repository also includes ready-to-use protein structures for testing. AI2BMD is designed for x86-64 GNU/Linux systems with recommended hardware specifications. The related research includes model architectures like ViSNet, Geoformer, and fine-grained force metrics for MLFF. Citation information and contact details for the AI2BMD Team are provided.

Speech Trident is a repository focusing on speech/audio large language models, covering representation learning, neural codec, and language models. It explores speech representation models, speech neural codec models, and speech large language models. The repository includes contributions from various researchers and provides a comprehensive list of speech/audio language models, representation models, and codec models.

NeMo Framework is a generative AI framework built for researchers and pytorch developers working on large language models (LLMs), multimodal models (MM), automatic speech recognition (ASR), and text-to-speech synthesis (TTS). The primary objective of NeMo is to provide a scalable framework for researchers and developers from industry and academia to more easily implement and design new generative AI models by being able to leverage existing code and pretrained models.

MaxText is a high-performance, highly scalable, open-source LLM written in pure Python/Jax and targeting Google Cloud TPUs and GPUs for training and inference. MaxText achieves high MFUs and scales from single host to very large clusters while staying simple and "optimization-free" thanks to the power of Jax and the XLA compiler. MaxText aims to be a launching off point for ambitious LLM projects both in research and production. We encourage users to start by experimenting with MaxText out of the box and then fork and modify MaxText to meet their needs.

SWIFT (Scalable lightWeight Infrastructure for Fine-Tuning) supports training, inference, evaluation and deployment of nearly **200 LLMs and MLLMs** (multimodal large models). Developers can directly apply our framework to their own research and production environments to realize the complete workflow from model training and evaluation to application. In addition to supporting the lightweight training solutions provided by [PEFT](https://github.com/huggingface/peft), we also provide a complete **Adapters library** to support the latest training techniques such as NEFTune, LoRA+, LLaMA-PRO, etc. This adapter library can be used directly in your own custom workflow without our training scripts. To facilitate use by users unfamiliar with deep learning, we provide a Gradio web-ui for controlling training and inference, as well as accompanying deep learning courses and best practices for beginners. Additionally, we are expanding capabilities for other modalities. Currently, we support full-parameter training and LoRA training for AnimateDiff.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

DeepSeek is a new experimental architecture for a large language model (LLM) powered internet-scale retrieval engine. Unlike current research agents designed as answer engines, DeepSeek aims to process a vast amount of sources to collect a comprehensive list of entities and enrich them with additional relevant data. The end result is a table with retrieved entities and enriched columns, providing a comprehensive overview of the topic. DeepSeek utilizes both standard keyword search and neural search to find relevant content, and employs an LLM to extract specific entities and their associated contents. It also includes a smaller answer agent to enrich the retrieved data, ensuring thoroughness. DeepSeek has the potential to revolutionize research and information gathering by providing a comprehensive and structured way to access information from the vastness of the internet.

Build-your-own-AI-Assistant-Solution-Accelerator is a pre-release and preview solution that helps users create their own AI assistants. It leverages Azure Open AI Service, Azure AI Search, and Microsoft Fabric to identify, summarize, and categorize unstructured information. Users can easily find relevant articles and grants, generate grant applications, and export them as PDF or Word documents. The solution accelerator provides reusable architecture and code snippets for building AI assistants with enterprise data. It is designed for researchers looking to explore flu vaccine studies and grants to accelerate grant proposal submissions.

PaperQA is a minimal package for question and answering from PDFs or text files, providing very good answers with in-text citations. It uses OpenAI Embeddings to embed and search documents, and includes a process of embedding docs, queries, searching for top passages, creating summaries, using an LLM to re-score and select relevant summaries, putting summaries into prompt, and generating answers. The tool can be used to answer specific questions related to scientific research by leveraging citations and relevant passages from documents.

The neo is an open source robotics research platform powered by a OnePlus 3 smartphone and an STM32F205-based CAN interface board, housed in a 3d-printed casing with active cooling. It includes NEOS, a stripped down Android ROM, and offers a modern Linux environment for development. The platform leverages the high performance embedded processor and sensor capabilities of modern smartphones at a low cost. A detailed guide is available for easy construction, requiring online shopping and soldering skills. The total cost for building a neo is approximately $700.

Expert in marketing research, with a clever twist on its origins.

Specialist in product research for resale on Yahoo Auctions and Mercari Japan.

Amazon product shopping search, conveniently query products, get discounts and discounted products more quickly.

I help consumers and business people in the USA find out about all informercial products on allfromtv.com

User-friendly, price-savvy Marketplace guide.

Dropshipping expert GPT, tech-savvy and advice-focused

A supportive assistant for dropshipping queries and guidance.

Find unique - Shop Easy – No More Etsy Confusion

Advanced AI advisor for dropshipping with real-time data analysis and comprehensive e-commerce tools.

Shopify and drop shipping setup expert

2 Aşamalı Satılmaya Uygun Ürün Bulma Aracı

Improves product quality through innovative research and development.

An AI adept in product visuals and data, creating compelling images and documents.

Analyzes behavioral data to understand user interactions and preferences, improving product designs.

Explore 7779 new global AI products with ease! / 7779個のAI productのDBをもとにリサーチ

Refines questioning with a Socratic method.

Transforms user interview transcripts into a list of tasks [Asana compatible CSV file]. Send feedback to https://x.com/kireet_agrawal

AI expert in UX Research and User Interviews

A UX research assistant focused solely on UX research and design.

AI for Business of Market Research Analyst (chuyên gia Phân tích Thị trường với 33 năm kinh nghiệm trong lĩnh vực tiếp thị.)