Best AI tools for< founder: building startups >

SigmaOS is a web browser that aims to provide a more efficient and organized browsing experience. It features workspaces, which are like rooms in a house, where users can organize their tabs into separate lists. Tabs are also fully customizable and actionable, like tasks in a to-do list. SigmaOS also supports Chromium extensions, making it the first WebKit-powered browser to do so. Additionally, SigmaOS is secure, using Apple Keychain to protect passwords and biometrics for added security.

Hell's Pitching is an AI-powered assistant designed to help entrepreneurs refine their startup ideas by providing brutally honest feedback and insightful critiques. It offers a unique approach to challenging and guiding founders in building better startups through side-splittingly funny roasts. The tool aims to provide innovative insights and different perspectives to transform startup ideas, all while maintaining a humorous and engaging experience.

Landscape is a platform that provides tools and resources for venture capitalists and founders. Their products include Compass, a co-pilot for venture capitalists that offers data-driven sourcing and AI-assisted screening, and VC Reviews, a platform for anonymous VC reviews. Landscape also has a Slack community for founders called Anonymous Founders and an angel syndicate for investing in startups.

uBrand is an AI-powered branding platform that assists entrepreneurs in creating and launching new brands. It offers a range of features to help users automate brand identity formation, generate on-brand content for social media, and manage everything in one place. With uBrand, users can start with a logo, develop a brand identity kit, create brand guidelines, and design a brand library. The platform's AI capabilities help translate brand vision into a strategic narrative that resonates with customers. It also provides on-brand social media designs, including posters, mockups, and videos. Additionally, uBrand offers brand management tools to store logo files, design templates, and brand images in a centralized library, ensuring brand consistency.

This website provides AI-powered tools for startups to evaluate business ideas, build brands, discover ideal customers, create marketing plans, and make smart investments. It aims to make AI accessible and affordable for entrepreneurs, helping them turn their ideas into successful businesses.

The website is an AI tool that focuses on investing in startups, leading rounds from seed to growth, and sponsoring an accelerator for seed-stage AI companies. It also runs a supercomputer for AI startups and has made investments in various companies. The team behind the tool includes Nat Friedman, Daniel Gross, Hersh Desai, and Lenny Bogdonoff. In addition to investments, the tool is involved in giving grants to open source AI projects and other activities like reading the Herculaneum papyrii and building a city in North America.

Fe/male Switch is a women-first startup game that offers a browser-based startup simulator experience. Players can assemble a team, create a startup with an investor and mentor, gain startup experience, win prizes, and get funded. The game aims to help individuals build their first startup, validate ideas, and overcome startup challenges. It provides a platform for aspiring entrepreneurs to test their entrepreneurial potential and learn essential business skills in a risk-free environment. Fe/male Switch features a unique Gamepreneurship methodology, AI co-founder support, and educational resources to guide players through the startup building process.

Ycmentor Knowledge chat Application helper is a free collection of tools to help you in your startup journey. From getting advice to helping you with your YC application, we got you covered. It is powered by AI and YC knowledge and used by over 3000 founders.

This AI-powered tool assists in validating product ideas by generating interview questions, surveys, and polls. It enables users to identify their target audience, gather feedback, and analyze insights to refine their product development process.

Andreessen Horowitz is a venture capital firm that invests in technology companies. The firm was founded in 2009 by Marc Andreessen and Ben Horowitz. Andreessen Horowitz has invested in over 500 companies, including Airbnb, Facebook, GitHub, and Stripe. The firm's mission is to help entrepreneurs build the next generation of technology companies.

Cult is a SaaS toolkit that comes with an AI Co-founder. It provides a variety of tools and resources to help developers build and launch their own SaaS products. These tools include UI components, templates, starters, dev tools, and more. Cult is designed to help developers save time and money by providing them with the building blocks they need to create successful SaaS products.

Flyx Labs is an AI studio that focuses on creating human-friendly AI solutions for everyday life. They offer AI-powered lead generation services and are developing an AI colleague to assist in building technical reports. The company is backed by prominent investors such as the founders of Instacart, Mercury, Applied Intuition, Gigster, and Bloom Tech.

CloudMinds is a world-leading creator, producer, and operator of cloud robot systems and services. Founded in 2015, CloudMinds has created a unique Cloud Robot Architecture based on the vision of “Cloud AI Connecting To The Future”, and launched the HARIX Cloud AI Robot Operating System and end-to-end commercial services in 2017. With the mission of “Operating Smart Robots for People”, the company aims to lead the cutting-edge technologies development for building a humanoid robot for enterprise and families. Our cloud robots will help people to do dull, dirty, dangerous or demeaning (4D) work, and thus making people’s lives more enjoyable.

Vellum AI is an AI platform that supports using Microsoft Azure hosted OpenAI models. It offers tools for prompt engineering, semantic search, prompt chaining, evaluations, and monitoring. Vellum enables users to build AI systems with features like workflow automation, document analysis, fine-tuning, Q&A over documents, intent classification, summarization, vector search, chatbots, blog generation, sentiment analysis, and more. The platform is backed by top VCs and founders of well-known companies, providing a complete solution for building LLM-powered applications.

Toolblox is an AI-powered platform that enables users to create purpose-built, audited smart-contracts and Dapps for tokenized assets quickly and efficiently. It offers a no-code solution for turning ideas into smart-contracts, visualizing workflows, and creating tokenization solutions. With pre-audited smart-contracts, examples, and an AI assistant, Toolblox simplifies the process of building and launching decentralized applications. The platform caters to founders, agencies, and businesses looking to streamline their operations and leverage blockchain technology.

Co-Founder Ai is an AI-powered validation tool that helps entrepreneurs and startups generate well-structured business plans and actionable insights in minutes. The tool utilizes AI to provide essential insights on viability, revenue opportunities, risks, user insights, and strategic frameworks like Lean Canvas and AARRR. It offers technical overviews, market insights, sales techniques, and frameworks like McKinsey 7S to guide startup success. Co-Founder Ai aims to accelerate startup growth through data-driven decisions and comprehensive reports.

8VDX is an AI application that offers fine-tuned AI models for credit funds, aiming to scale credit investments workflow with advanced AI models. It helps in transforming underwriting processes, automating bond screening, and accelerating due diligence using AI technology. The application provides strategic advantages through fast, custom analysis and continuous learning from surveillance, enhancing decision-making and operational efficiency for credit underwriting.

Yuzuu is an AI-powered marketing assistant that helps businesses improve their marketing campaigns and increase their conversion rates. It provides personalized and easy-to-implement CRO recommendations for marketing assets, such as landing pages, emails, and hero sections. Yuzuu also helps businesses create marketing assets from scratch, such as emails, copy, and visuals. It is designed for busy startup founders, solopreneurs, and CMOs/Head of Growth who want to save time and money while improving their marketing efforts.

Jesse Zhang's personal website showcases his background in engineering, particularly in web development, AI/ML, and mathematics. He highlights his education at Harvard University and internships at renowned companies like Citadel, Google, and Intel. Zhang also mentions his entrepreneurial ventures, including founding Lowkey, which was acquired by Niantic, and his current work on a new company. The website features various projects he has worked on, such as real-time multiplayer implementations of Camel Up and Bananagrams, a financial data visualization tool, and a demo of Zero-Knowledge proofs in the game Mastermind. Additionally, Zhang shares his interest in writing math contest problems and his involvement in angel investing through Sequoia Scouts and Neo.

Manticore Software offers two primary software applications: Beekeepings and LegacyAI. Beekeepings is an iOS app designed for beekeepers of all experience levels, providing essential tools to manage their beekeeping activities. LegacyAI, on the other hand, is a ChatGPT client tailored for older Macintosh systems, enabling users to have an AI-powered personal assistant on their legacy devices.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

This course has 18 lessons. Each lesson covers its own topic so start wherever you like! Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both **Python** and **TypeScript** when possible. Each lesson also includes a "Keep Learning" section with additional learning tools. **What You Need** * Access to the Azure OpenAI Service **OR** OpenAI API - _Only required to complete coding lessons_ * Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses. * A Github account to fork this entire repo to your own GitHub account We have created a **Course Setup** lesson to help you with setting up your development environment. Don't forget to star (🌟) this repo to find it easier later. ## 🧠 Ready to Deploy? If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both **Python** and **TypeScript**. ## 🗣️ Meet Other Learners, Get Support Join our official AI Discord server to meet and network with other learners taking this course and get support. ## 🚀 Building a Startup? Sign up for Microsoft for Startups Founders Hub to receive **free OpenAI credits** and up to **$150k towards Azure credits to access OpenAI models through Azure OpenAI Services**. ## 🙏 Want to help? Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request ## 📂 Each lesson includes: * A short video introduction to the topic * A written lesson located in the README * Python and TypeScript code samples supporting Azure OpenAI and OpenAI API * Links to extra resources to continue your learning ## 🗃️ Lessons | | Lesson Link | Description | Additional Learning | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 00 | Course Setup | **Learn:** How to Setup Your Development Environment | Learn More | | 01 | Introduction to Generative AI and LLMs | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) work. | Learn More | | 02 | Exploring and comparing different LLMs | **Learn:** How to select the right model for your use case | Learn More | | 03 | Using Generative AI Responsibly | **Learn:** How to build Generative AI Applications responsibly | Learn More | | 04 | Understanding Prompt Engineering Fundamentals | **Learn:** Hands-on Prompt Engineering Best Practices | Learn More | | 05 | Creating Advanced Prompts | **Learn:** How to apply prompt engineering techniques that improve the outcome of your prompts. | Learn More | | 06 | Building Text Generation Applications | **Build:** A text generation app using Azure OpenAI | Learn More | | 07 | Building Chat Applications | **Build:** Techniques for efficiently building and integrating chat applications. | Learn More | | 08 | Building Search Apps Vector Databases | **Build:** A search application that uses Embeddings to search for data. | Learn More | | 09 | Building Image Generation Applications | **Build:** A image generation application | Learn More | | 10 | Building Low Code AI Applications | **Build:** A Generative AI application using Low Code tools | Learn More | | 11 | Integrating External Applications with Function Calling | **Build:** What is function calling and its use cases for applications | Learn More | | 12 | Designing UX for AI Applications | **Learn:** How to apply UX design principles when developing Generative AI Applications | Learn More | | 13 | Securing Your Generative AI Applications | **Learn:** The threats and risks to AI systems and methods to secure these systems. | Learn More | | 14 | The Generative AI Application Lifecycle | **Learn:** The tools and metrics to manage the LLM Lifecycle and LLMOps | Learn More | | 15 | Retrieval Augmented Generation (RAG) and Vector Databases | **Build:** An application using a RAG Framework to retrieve embeddings from a Vector Databases | Learn More | | 16 | Open Source Models and Hugging Face | **Build:** An application using open source models available on Hugging Face | Learn More | | 17 | AI Agents | **Build:** An application using an AI Agent Framework | Learn More | | 18 | Fine-Tuning LLMs | **Learn:** The what, why and how of fine-tuning LLMs | Learn More |

Superpipe is a lightweight framework designed for building, evaluating, and optimizing data transformation and data extraction pipelines using LLMs. It allows users to easily combine their favorite LLM libraries with Superpipe's building blocks to create pipelines tailored to their unique data and use cases. The tool facilitates rapid prototyping, evaluation, and optimization of end-to-end pipelines for tasks such as classification and evaluation of job departments based on work history. Superpipe also provides functionalities for evaluating pipeline performance, optimizing parameters for cost, accuracy, and speed, and conducting grid searches to experiment with different models and prompts.

Start Machine Learning in 2024 is a comprehensive guide for beginners to advance in machine learning and artificial intelligence without any prior background. The guide covers various resources such as free online courses, articles, books, and practical tips to become an expert in the field. It emphasizes self-paced learning and provides recommendations for learning paths, including videos, podcasts, and online communities. The guide also includes information on building language models and applications, practicing through Kaggle competitions, and staying updated with the latest news and developments in AI. The goal is to empower individuals with the knowledge and resources to excel in machine learning and AI.

Mastering GitHub Copilot for AI Paired Programming is a comprehensive course designed to equip you with the skills and knowledge necessary to harness the power of GitHub Copilot, an AI-driven coding assistant. Through a series of engaging lessons, you will learn how to seamlessly integrate GitHub Copilot into your workflow, leveraging its autocompletion, customizable features, and advanced programming techniques. This course is tailored to provide you with a deep understanding of AI-driven algorithms and best practices, enabling you to enhance code quality and accelerate your coding skills. By embracing the transformative power of AI paired programming, you will gain the tools and confidence needed to succeed in today's dynamic software development landscape.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

This repository is a comprehensive guide for individuals looking to start and improve their skills in Large Language Models (LLMs) without an advanced background in the field. It provides free resources, online courses, books, articles, and practical tips to become an expert in machine learning. The guide covers topics such as terminology, transformers, prompting, retrieval augmented generation (RAG), and more. It also includes recommendations for podcasts, YouTube videos, and communities to stay updated with the latest news in AI and LLMs.

DB-GPT is a personal database administrator that can solve database problems by reading documents, using various tools, and writing analysis reports. It is currently undergoing an upgrade. **Features:** * **Online Demo:** * Import documents into the knowledge base * Utilize the knowledge base for well-founded Q&A and diagnosis analysis of abnormal alarms * Send feedbacks to refine the intermediate diagnosis results * Edit the diagnosis result * Browse all historical diagnosis results, used metrics, and detailed diagnosis processes * **Language Support:** * English (default) * Chinese (add "language: zh" in config.yaml) * **New Frontend:** * Knowledgebase + Chat Q&A + Diagnosis + Report Replay * **Extreme Speed Version for localized llms:** * 4-bit quantized LLM (reducing inference time by 1/3) * vllm for fast inference (qwen) * Tiny LLM * **Multi-path extraction of document knowledge:** * Vector database (ChromaDB) * RESTful Search Engine (Elasticsearch) * **Expert prompt generation using document knowledge** * **Upgrade the LLM-based diagnosis mechanism:** * Task Dispatching -> Concurrent Diagnosis -> Cross Review -> Report Generation * Synchronous Concurrency Mechanism during LLM inference * **Support monitoring and optimization tools in multiple levels:** * Monitoring metrics (Prometheus) * Flame graph in code level * Diagnosis knowledge retrieval (dbmind) * Logical query transformations (Calcite) * Index optimization algorithms (for PostgreSQL) * Physical operator hints (for PostgreSQL) * Backup and Point-in-time Recovery (Pigsty) * **Continuously updated papers and experimental reports** This project is constantly evolving with new features. Don't forget to star ⭐ and watch 👀 to stay up to date.

Langroid is a Python framework that makes it easy to build LLM-powered applications. It uses a multi-agent paradigm inspired by the Actor Framework, where you set up Agents, equip them with optional components (LLM, vector-store and tools/functions), assign them tasks, and have them collaboratively solve a problem by exchanging messages. Langroid is a fresh take on LLM app-development, where considerable thought has gone into simplifying the developer experience; it does not use Langchain.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

This repository contains code for the O'Reilly Live Online Training for Deploying GPT & LLMs. Learn how to use GPT-4, ChatGPT, OpenAI embeddings, and other large language models to build applications for experimenting and production. Gain practical experience in building applications like text generation, summarization, question answering, and more. Explore alternative generative models such as Cohere and GPT-J. Understand prompt engineering, context stuffing, and few-shot learning to maximize the potential of GPT-like models. Focus on deploying models in production with best practices and debugging techniques. By the end of the training, you will have the skills to start building applications with GPT and other large language models.

R2R (RAG to Riches) is a fast and efficient framework for serving high-quality Retrieval-Augmented Generation (RAG) to end users. The framework is designed with customizable pipelines and a feature-rich FastAPI implementation, enabling developers to quickly deploy and scale RAG-based applications. R2R was conceived to bridge the gap between local LLM experimentation and scalable production solutions. **R2R is to LangChain/LlamaIndex what NextJS is to React**. A JavaScript client for R2R deployments can be found here. ### Key Features * **🚀 Deploy** : Instantly launch production-ready RAG pipelines with streaming capabilities. * **🧩 Customize** : Tailor your pipeline with intuitive configuration files. * **🔌 Extend** : Enhance your pipeline with custom code integrations. * **⚖️ Autoscale** : Scale your pipeline effortlessly in the cloud using SciPhi. * **🤖 OSS** : Benefit from a framework developed by the open-source community, designed to simplify RAG deployment.

Slips is a powerful endpoint behavioral intrusion prevention and detection system that uses machine learning to detect malicious behaviors in network traffic. It can work with network traffic in real-time, PCAP files, and network flows from tools like Suricata, Zeek/Bro, and Argus. Slips threat detection is based on machine learning models, threat intelligence feeds, and expert heuristics. It gathers evidence of malicious behavior and triggers alerts when enough evidence is accumulated. The tool is Python-based and supported on Linux and MacOS, with blocking features only on Linux. Slips relies on Zeek network analysis framework and Redis for interprocess communication. It offers a graphical user interface for easy monitoring and analysis.

Your go-to AI consultant for building a startup. Detailed reports on Business Viability, Market Research & Analysis, Launching & Scaling, Funding Prospects, and more.

Auto Fundraising is trained on 1000+ VCs info and is expert in building investor pipelines. It can help you in finding the best VCs in your field, can build up a complete investor pipeline and can give you tailored pitching advice to get deals faster.

Imagine a virtual co-founder with hands-on experience in building products at your side. I've programmed this AI with my own entrepreneurial playbook to guide you in crafting killer SaaS products, just as I would.

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Advice on Lean Publishing as Peter Armstrong.

This GPT follows 10 questions from Y Combinator for co-founders to discuss before deciding to work together. Co-founders answer the questions separately and receive unique IDs. To check compatibility, provide two IDs. Co-founder GPT has a long-term memory, so write down your ID for future checks.

Personalized VC fundraising coach using founder insights, based on 20+ interviews

Imaginable founder of PayPal, SpaceX, Tesla. Really likes letter X

Your favorite VC/founder from the greatest city ever

Wise tech founder offering practical and creative advice on book quotes

A world class elite tech co-founder entrepreneur, expert in software development, entrepreneurship, marketing, coaching style leadership and aligned with ambition for excellence, global market penetration and worldy perspectives.

I will ideate better names than your co-founder.

I am Steve Jobs, co-founder of Apple.

AMA about aging, latest news on longevity biotech, science-based hints on longer life from P. Fedichev, geroscientist and founder of gero.ai

Aids start-up founders in refining their investor pitch.

This GPT automatically fills YC application for you based on website or Pitch Deck

I help prepare investor meetings and questions for the next fundraising round

Helps founders in crafting impactful investor updates.

Your startup mentor backed by Elon Musk, Sam Altman, Paul Graham, Steve Jobs, and Bill Gates. Author: twitter.com/HeySophiaHong

I help you build and scale Silicon Valley-style startups