Best AI tools for< Product Leader >

ConverSight is an AI-powered augmented analytics tool designed to empower business leaders with generative AI capabilities. It offers effortless data exploration, automated insights, and workflows, as well as data consolidation and streamlined processes. With over 100+ integrations, ConverSight enables users to centralize data, collaborate with team members, and accurately plan for the future. The platform is a low-code solution that provides self-creating dashboards, guided recommendations, and conversational analytics, making it a valuable tool for decision-making and data analysis in various industries and roles.

Whimsical is an iterative workspace designed for product teams to collaborate effectively. It offers a range of tools such as flowcharts, wireframes, mind maps, and documentation features to help teams visualize ideas, streamline processes, and create a shared understanding. With Whimsical, users can generate diagrams quickly, brainstorm and organize ideas visually, and build wireframes with ease. The platform promotes clarity, collaboration, and efficiency in product development projects.

Lancey is an AI copilot for product teams that leverages customer feedback, CRM, and product analytics data to assist in building innovative ideas. It provides insights on themes, sentiment, and feature areas impacted by feedback, enabling continuous product discovery without manual effort. With integrations for data collection and analysis, Lancey helps product teams make better decisions and drive new ARR. The application is praised by product leaders for its ability to surface valuable insights and streamline product development processes.

Benjamin S Powell is a leading AI consultant specializing in implementing powerful AI tools and strategies to help businesses reduce operational costs, boost productivity, and enhance workforce performance. With over 20 years of experience in entrepreneurship and product leadership, Benjamin has successfully founded multiple companies and steered them to profitable exits, taking on several C-Level roles along the way. His expertise lies in auditing and optimizing workflows, designing secure, impactful AI-driven tools, and sharing deep insights into emerging AI technologies through public speaking engagements.

Benjamin S Powell is a leading AI consultant specializing in implementing powerful AI tools and strategies to help businesses reduce operational costs, boost productivity, and enhance workforce performance. With over 20 years of experience in entrepreneurship and product leadership, Benjamin has successfully founded multiple companies and steered them to profitable exits. His expertise lies in auditing and optimizing workflows, designing secure, impactful AI-driven tools, and sharing deep insights into emerging AI technologies through public speaking engagements.

Edge Impulse is a leading edge AI platform that enables users to build datasets, train models, and optimize libraries to run directly on any edge device. It offers sensor datasets, feature engineering, model optimization, algorithms, and NVIDIA integrations. The platform is designed for product leaders, AI practitioners, embedded engineers, and OEMs across various industries and applications. Edge Impulse helps users unlock sensor data value, build high-quality sensor datasets, advance algorithm development, optimize edge AI models, and achieve measurable results. It allows for future-proofing workflows by generating models and algorithms that perform efficiently on any edge hardware.

Delibr is a document-writing solution with generative AI baked in. Through interviewing and coaching over 500 product leaders, we've learned what's important and used it to train our AI. Delibr offers a range of AI-enhanced product templates, including PRDs, user personas, and strategy documents. Each template is designed to help you create high-quality documents that stand out. Delibr also includes an AI Copilot assistant that can review your documents, suggest impactful changes, and offer insights on comments. With Delibr, you can save time writing requirements, organize your ideas, and track your progress. Delibr is trusted by product teams around the world, including Storytel, Nectarine Health, RunaHR, and DecisionLink.

Magic Patterns is an AI tool that allows users to prototype product ideas using an AI-native editor. It enables users to iterate on components and designs, export to React or Figma, and generate new UIs effortlessly. Loved by designers, engineers, and product leaders, Magic Patterns streamlines the UI design process, making it easier to build products and iterate quickly.

Adhar Walia's personal blog covers a wide range of topics related to product management, strategy, growth, leadership, AI, and machine learning. The blog provides in-depth analysis, practical advice, and insights from industry experts. It is a valuable resource for anyone looking to stay up-to-date on the latest trends and best practices in these fields.

Threekit is a visual product configurator tool designed for brands and manufacturers to enhance online product customization and purchasing experiences. It offers differentiated visual experiences for leading brands in various categories such as furniture, jewelry, sporting goods, commercial bath, and custom doors. Threekit enables users to connect with buyers through amazing visual configurations, 3D modeling, virtual photography, space planning, and augmented reality. The platform also provides tools like bill of material, spec sheets, quotes, and integrations with eCommerce, ERP, configurator, PIM, and more to streamline sales processes. With Threekit, businesses can manage product updates, syndicate product experiences across sales channels, and set business rules and automations.

TEAMCAL AI is the world's most advanced team scheduling software powered by AI. It simplifies coordination with third parties, across companies, teams across time zones, and applications effortlessly. The application offers features like AI scheduling in seconds, multi-team collaboration, seamless integration with existing workflow tools, and integrated solutions designed for specific business use cases. With various pricing plans catering to different business needs, TEAMCAL AI aims to optimize team scheduling, reduce manual errors, and enhance productivity.

Stepsize AI is an AI-powered reporting tool for software development teams. It analyzes issue tracker activity to generate automated weekly updates on team and project progress. Stepsize AI provides metrics with automatic commentary, project-level AI insights, and intelligent delivery risk surfacing. It offers tailored insights, complete visibility, and unified focus, helping teams stay aligned and make timely decisions.

TEAMCAL AI is the world's most advanced team scheduling software powered by artificial intelligence. It simplifies coordination with third parties, across companies, teams across time zones, and applications effortlessly. The application offers features such as AI scheduling in seconds, multi-team collaboration, seamless integration with existing workflow tools, and more. It is designed to streamline scheduling processes, reduce errors, and optimize operations for businesses of all sizes.

Interview.study is an AI-powered interview preparation platform that helps candidates practice real interview questions asked by top companies. The platform provides users with instant feedback on their responses, helping them identify areas for improvement and develop stronger answers. Interview.study also offers a variety of features to help candidates prepare for their interviews, including a database of interview questions, a mock interview tool, and a resume builder.

Metaphysic.ai is a leading provider of generative AI content that looks real. Their software automates hyperreal generative AI content creation, enabling users to create photorealistic faces, swap faces in live and post-production, de-age actors, and bring characters back to life. Metaphysic.ai's technology is used by the world's most demanding creators on projects at massive scale, including Hollywood films, television shows, and commercials.

MIT Sloan Management Review is a leading source of information and ideas on management, innovation, and leadership. The website provides articles, case studies, videos, and podcasts on a wide range of topics, including artificial intelligence, data analytics, digital transformation, and sustainability. The website also offers a variety of resources for educators, students, and business professionals.

Versy.ai is a text-to-space generative AI solution that allows users to create virtual experiences from a text prompt. It is designed to be cost-effective, customizable, data-driven, and scalable. Versy.ai can be used to create a variety of interactive experiences, including product configurations, events, escape rooms, leaderboards, treasure hunts, and more.

Rubick AI is an advanced AI suite designed to revolutionize the eCommerce landscape for brands and sellers. It offers a comprehensive platform with solutions for cataloging, content generation, marketplace templates, and pricing intelligence. With features like data asset management, product attribute extraction, text analysis, and marketing insights, Rubick AI empowers eCommerce platforms at every stage of their growth. The application is known for its ability to streamline operations, enhance product visibility, and boost conversions through AI-enabled tools and services.

Regie.ai is a generative AI tool designed for sales teams to streamline and automate their prospecting processes. It uses GenAI and automation to make prospecting easier for businesses and more effective for buyers. The tool helps in discovering target accounts and contacts, generating relevant content, prioritizing outbound activities, and engaging with the audience dynamically. Regie.ai aims to simplify the sales process by automating repetitive tasks and surfacing the most engaged leads to sales reps, ultimately improving lead-to-meeting conversion rates.

Mather Economics is a global leader in providing technology, analytics, and advisory services to enable publishers to monetize content and grow subscriber revenue. Our Sophi platform uses industry-leading AI technology and automation to monetize content more effectively and efficiently, driving both revenue growth and cost savings. Our approach to dynamic pricing has proven to drive significant revenue increases over the past 20 years and continues to lead the industry. Overall, our value proposition enables fast, economical, and verifiable return on investment through our efficient application of predictive analytics, technology, A/B testing, and data science.

AI Product Home is a repository dedicated to collecting various AI commercial or open-source products. It provides assistance in submitting issues, self-recommendation, correcting resources, and more. The repository also features AI tools like Build Naidia, Autopod, Rytr, Mubert, and a virtual town driven by AI. It includes sections for AI models, chat dialogues, AI assistants, code assistance, artistic creation, content creation, and more. The repository covers a wide range of AI-related tools and resources for users interested in AI products and services.

Middleware is an open-source engineering management tool that helps engineering leaders measure and analyze team effectiveness using DORA metrics. It integrates with CI/CD tools, automates DORA metric collection and analysis, visualizes key performance indicators, provides customizable reports and dashboards, and integrates with project management platforms. Users can set up Middleware using Docker or manually, generate encryption keys, set up backend and web servers, and access the application to view DORA metrics. The tool calculates DORA metrics using GitHub data, including Deployment Frequency, Lead Time for Changes, Mean Time to Restore, and Change Failure Rate. Middleware aims to provide DORA metrics to users based on their Git data, simplifying the process of tracking software delivery performance and operational efficiency.

OptScale is an open-source FinOps and MLOps platform that provides cloud cost optimization for all types of organizations and MLOps capabilities like experiment tracking, model versioning, ML leaderboards.

The 'jobs' repository by comma.ai focuses on solving self-driving cars by building a robotics stack that includes state-of-the-art machine learning models, operating system design, hardware development, and manufacturing. The company aims to deliver constant incremental progress in self-driving technology to users, with a focus on practical solutions rather than hype. Job opportunities at comma.ai include technical challenges, phone screenings, and paid micro-internships, with perks such as chef-prepared meals, on-site gym access, and health insurance. The teams at comma.ai are organized into web, systems, infrastructure, product, design, and electrical engineering, with specific challenges for each team. The repository also offers opportunities for non-job seekers to participate in challenges and win prizes.

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

AutoArena is a tool designed to create leaderboards ranking Language Model outputs against one another using automated judge evaluation. It allows users to rank outputs from different LLMs, RAG setups, and prompts to find the best configuration of their system. Users can perform automated head-to-head evaluation using judges from various platforms like OpenAI, Anthropic, and Cohere. Additionally, users can define and run custom judges, connect to internal services, or implement bespoke logic. AutoArena enables users to run the application locally, providing full control over their environment and data.

Bench is a tool for evaluating LLMs for production use cases. It provides a standardized workflow for LLM evaluation with a common interface across tasks and use cases. Bench can be used to test whether open source LLMs can do as well as the top closed-source LLM API providers on specific data, and to translate the rankings on LLM leaderboards and benchmarks into scores that are relevant for actual use cases.

GPT-All-Star is an AI-powered code generation tool designed for scratch development of web applications with team collaboration of autonomous AI agents. The primary focus of this research project is to explore the potential of autonomous AI agents in software development. Users can organize their team, choose leaders for each step, create action plans, and work together to complete tasks. The tool supports various endpoints like OpenAI, Azure, and Anthropic, and provides functionalities for project management, code generation, and team collaboration.

Awesome ML is a curated list of resources and tools related to machine learning, covering a wide range of topics such as large language models, image models, video models, audio models, and marketing data science. It includes open LLM models, tools, GUIs, backends, voice assistants, code generation, libraries, fine tuning, data sets, research, image and video models, audio tasks like compression, speech recognition, and music generation, as well as resources for marketing data science. The repository aims to provide a comprehensive collection of resources for individuals interested in machine learning and its applications.

Tribe AI is a low code tool designed to rapidly build and coordinate multi-agent teams. It leverages the langgraph framework to customize and coordinate teams of agents, allowing tasks to be split among agents with different strengths for faster and better problem-solving. The tool supports persistent conversations, observability, tool calling, human-in-the-loop functionality, easy deployment with Docker, and multi-tenancy for managing multiple users and teams.

VLMEvalKit is an open-source evaluation toolkit of large vision-language models (LVLMs). It enables one-command evaluation of LVLMs on various benchmarks, without the heavy workload of data preparation under multiple repositories. In VLMEvalKit, we adopt generation-based evaluation for all LVLMs, and provide the evaluation results obtained with both exact matching and LLM-based answer extraction.

This repo collects AI-related utilities. ## All Categories * All Categories * ChatGPT and other closed-source LLMs * AI Search engine * Open Source LLMs * GPT/LLMs Applications * LLM training platform * Applications that integrate multiple LLMs * AI Agent * Writing * Programming Development * Translation * AI Conversation or AI Voice Conversation * Image Creation * Speech Recognition * Text To Speech * Voice Processing * AI generated music or sound effects * Speech translation * Video Creation * Video Content Summary * OCR(Optical Character Recognition)

Generative AI with LangChain is a code repository for building large language model (LLM) apps with Python, ChatGPT, and other LLMs. The repository provides code examples, instructions, and configurations for creating generative AI applications using the LangChain framework. It covers topics such as setting up the development environment, installing dependencies with Conda or Pip, using Docker for environment setup, and setting API keys securely. The repository also emphasizes stability, code updates, and user engagement through issue reporting and feedback. It aims to empower users to leverage generative AI technologies for tasks like building chatbots, question-answering systems, software development aids, and data analysis applications.

Buildel is an AI automation platform that empowers users to create versatile workflows without writing code. It supports multiple providers and interfaces, offers pre-built use cases, and allows users to bring their own API keys. Ideal for AI-powered document retrieval, conversational interfaces, and data integration. Users can get started at app.buildel.ai or run Buildel locally with Node.js, Elixir/Erlang, Docker, Git, and JQ installed. Join the community on Discord for support and discussions.

TrustLLM is a comprehensive study of trustworthiness in LLMs, including principles for different dimensions of trustworthiness, established benchmark, evaluation, and analysis of trustworthiness for mainstream LLMs, and discussion of open challenges and future directions. Specifically, we first propose a set of principles for trustworthy LLMs that span eight different dimensions. Based on these principles, we further establish a benchmark across six dimensions including truthfulness, safety, fairness, robustness, privacy, and machine ethics. We then present a study evaluating 16 mainstream LLMs in TrustLLM, consisting of over 30 datasets. The document explains how to use the trustllm python package to help you assess the performance of your LLM in trustworthiness more quickly. For more details about TrustLLM, please refer to project website.

Learn Cloud Applied Generative AI Engineering (GenEng) is a course focusing on the application of generative AI technologies in various industries. The course covers topics such as the economic impact of generative AI, the role of developers in adopting and integrating generative AI technologies, and the future trends in generative AI. Students will learn about tools like OpenAI API, LangChain, and Pinecone, and how to build and deploy Large Language Models (LLMs) for different applications. The course also explores the convergence of generative AI with Web 3.0 and its potential implications for decentralized intelligence.

Awesome-LLM is a curated list of resources related to large language models, focusing on papers, projects, frameworks, tools, tutorials, courses, opinions, and other useful resources in the field. It covers trending LLM projects, milestone papers, other papers, open LLM projects, LLM training frameworks, LLM evaluation frameworks, tools for deploying LLM, prompting libraries & tools, tutorials, courses, books, and opinions. The repository provides a comprehensive overview of the latest advancements and resources in the field of large language models.

Awesome-Efficient-LLM is a curated list focusing on efficient large language models. It includes topics such as knowledge distillation, network pruning, quantization, inference acceleration, efficient MOE, efficient architecture of LLM, KV cache compression, text compression, low-rank decomposition, hardware/system, tuning, and survey. The repository provides a collection of papers and projects related to improving the efficiency of large language models through various techniques like sparsity, quantization, and compression.

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