Best AI tools for< finding investors >

Angel Match is a comprehensive investor database platform that connects founders with over 110,000 angels and venture capitalists. It streamlines the process of finding investors by providing categorized investor lists, intuitive CRM, and email outreach tools. The platform saves time and effort by offering verified investor data points and personalized pitching capabilities. Angel Match prioritizes quality over quantity and ensures data accuracy through daily updates and multiple verification sources.

House of Pitch is a platform that connects journalists and investors with people who have news, services, or ideas to pitch. It provides a way for pitchers to send their pitches to a targeted audience and get a quick response. The platform also provides a database of journalists and investors that pitchers can use to find the right people to contact.

Accorata is an AI deal sourcing platform designed for early-stage investors. It helps investors navigate the crowded market by quickly finding and verifying investment opportunities that align with their investment thesis. The platform offers lightning-fast startup signals, automated processing of incoming deals, AI-boosted founder due diligence, and data stored on secure servers. Accorata is trusted by over 50 early-stage investors and offers different pricing plans tailored to the needs of different users.

Platvix is an AI-powered platform that connects startups with investors. It offers a range of features to help startups find the right investors and to help investors find the most promising startups. Platvix's matchmaking engine uses AI to pair startups with investors based on their compatibility. The platform also provides investors with detailed insights into startup performance metrics and market trends. Platvix is designed to address the challenges that startups and investors face in connecting with each other. It provides a secure and transparent platform for startups to raise funding and for investors to find new investment opportunities.

This AI-driven platform helps startups connect with suitable investors in minutes, not months. It analyzes the startup's profile and matches it with compatible investors from a database of over 100,000. The platform automates the introduction process by drafting personalized emails that reflect the startup's brand.

FundEze is an intelligent investment platform that revolutionizes the capital raise process by facilitating seamless discovery and swift closures. It connects entrepreneurs and investors to streamline and elevate the entirety of the capital-raising process. FundEze leverages AI-powered algorithms to efficiently match startups with potential investors, offering personalized advice and expert guidance to enhance investment success. The platform provides a user-friendly marketplace for innovative ideas and strategic investments, ensuring data security and value for money. FundEze aims to fuel access to capital for startups and scaleups, supporting local and international businesses in starting, scaling, and succeeding.

PitchPal is an AI-powered platform that helps startups secure funding. It uses machine learning to analyze your startup's data and provide you with personalized recommendations on how to improve your pitch and attract investors.

Beemer is an AI-powered pitch deck generator that helps startups create professional presentations quickly and efficiently. With Beemer, you can create a complete Google Slides or PowerPoint presentation with just a brief description of your business. Beemer's sleek and minimalistic slide deck template is designed to impress, with a focus on your content. You can also collaborate with your team using the tools you already know and love, with easy export to Google Slides or PowerPoint for seamless presentation delivery.

Afroverse is an AI-powered music investment platform designed specifically for the Afrobeat industry. It provides tools for demo submissions, cross-border collaborations, music distribution, investment opportunities, community engagement, and more.

DroppedHub is an AI-powered platform that assists users in finding valuable expired domain names for domain flipping or brandable business names. The platform filters, analyzes, and rates over 100,000 dropped domains daily to provide users with a curated list of high-quality domains. With a focus on .com domains and recognizable keywords, DroppedHub aims to simplify the domain search process and help users make informed decisions when registering domains.

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.

StartupHub AI is a comprehensive platform providing data and tech news related to the AI startup ecosystem. It offers information on startups, funding rounds, investors, events, and more. The platform serves as a hub for AI professionals, investors, and startups, with a focus on the Israeli AI startup scene. Users can access original content, statistics, infographics, and press releases to stay updated on the latest trends and developments in the AI industry.

My Pitch Deck is an AI-powered platform that helps startups create custom pitch decks. With just a few clicks, you can generate a 10-slide pitch deck tailored to your specific needs. Our AI will ask you a series of questions about your startup, and then use that information to create a deck that is both informative and persuasive. In addition to the pitch deck, you'll also receive a list of 15 investor questions that you can expect to be asked, as well as 10 personal tips and tricks to help you nail your pitch. My Pitch Deck is the perfect tool for startups who want to save time and create a professional-looking pitch deck that will help them raise funding.

FTC More is a website that provides a list of $750 million in grants that startups can apply for without giving up equity. The website also offers early access to AI tools to help startups apply for grants faster and VIP discounts on premium tools. FTC More's mission is to change fundraising together and protect founders and innovators.

15minuteplan.ai is an AI-powered business plan generator that helps entrepreneurs and business owners create professional business plans in under 15 minutes. The tool is designed to be easy to use, with a simple form-based interface that guides users through the process of creating a business plan. 15minuteplan.ai's AI engine draws on a vast knowledge base of business information, including industry-specific data, financial projections, and market research, to generate plans that are tailored to the user's specific needs. The tool is also SBA-approved and follows most banks' business plan templates, making it a valuable resource for businesses seeking funding.

Startup.Haus is a platform that helps entrepreneurs transform their ideas into impactful businesses using generative AI. It provides a range of tools and resources to support entrepreneurs throughout their journey, from idea generation to business planning and execution.

Index Ventures is an AI tool that invests in groundbreaking founders and game-changers with a fire inside that can't be dimmed. They back visionaries across industries and provide resources, perspectives, and job opportunities for startups. The website showcases success stories of individuals like Assaf Rappaport, Linda Lian, and Alexandr Wang, who are making a significant impact in the tech and AI space. Index Ventures is committed to partnering with entrepreneurs to realize their vision and offers insights into the latest trends and investments in the startup ecosystem.

FindAMeal is an AI-powered restaurant search engine that helps users find the best places to eat nearby. It combines data from multiple food review providers and user preferences to provide personalized recommendations. FindAMeal is available as a website and a mobile app.

Pixiboo is an AI-powered application that allows users to create personalized search and find books for children. The platform enables users to design surprises for their loved ones by hiding characters within enchanting illustrations. Pixiboo collaborates with artists to craft unique artworks, which are then used to train a Generative AI model for user interaction. The application aims to inspire children to engage with art, technology, and AI through playful experiences, fostering creativity and imagination.

Tuned Together is an AI-powered platform designed to help individuals find their ideal romantic partner. By utilizing advanced Language Style Matching algorithms, the platform offers a unique compatibility assessment based on users' communication patterns. Backed by scientific research, Tuned Together provides predictive insights on relationship success and stability, empowering users to make informed decisions in their quest for love.

Top AI Tools is a comprehensive, community-curated directory that aims to catalog and showcase the most outstanding AI-powered products. This index is not exhaustive, but rather a compilation of our research and contributions from the community.

Awesome AI Tools is a curated list of popular tools and resources for artificial intelligence enthusiasts. It includes a wide range of tools such as machine learning libraries, deep learning frameworks, data visualization tools, and natural language processing resources. Whether you are a beginner or an experienced AI practitioner, this repository aims to provide you with a comprehensive collection of tools to enhance your AI projects and research. Explore the list to discover new tools, stay updated with the latest advancements in AI technology, and find the right resources to support your AI endeavors.

Qlib is an open-source, AI-oriented quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It covers the entire chain of quantitative investment, from alpha seeking to order execution. The platform empowers researchers to explore ideas and implement productions using AI technologies in quantitative investment. Qlib collaboratively solves key challenges in quantitative investment by releasing state-of-the-art research works in various paradigms. It provides a full ML pipeline for data processing, model training, and back-testing, enabling users to perform tasks such as forecasting market patterns, adapting to market dynamics, and modeling continuous investment decisions.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

FinRobot is an open-source AI agent platform designed for financial applications using large language models. It transcends the scope of FinGPT, offering a comprehensive solution that integrates a diverse array of AI technologies. The platform's versatility and adaptability cater to the multifaceted needs of the financial industry. FinRobot's ecosystem is organized into four layers, including Financial AI Agents Layer, Financial LLMs Algorithms Layer, LLMOps and DataOps Layers, and Multi-source LLM Foundation Models Layer. The platform's agent workflow involves Perception, Brain, and Action modules to capture, process, and execute financial data and insights. The Smart Scheduler optimizes model diversity and selection for tasks, managed by components like Director Agent, Agent Registration, Agent Adaptor, and Task Manager. The tool provides a structured file organization with subfolders for agents, data sources, and functional modules, along with installation instructions and hands-on tutorials.

This repository compiles a list of academic papers that evaluate, align, simulate, and provide surveys or perspectives on the use of Large Language Models (LLMs) in the field of Social Science. The papers cover various aspects of LLM research, including assessing their alignment with human values, evaluating their capabilities in tasks such as opinion formation and moral reasoning, and exploring their potential for simulating social interactions and addressing issues in diverse fields of Social Science. The repository aims to provide a comprehensive resource for researchers and practitioners interested in the intersection of LLMs and Social Science.

This repository contains code and results for jailbreaking leading safety-aligned LLMs with simple adaptive attacks. We show that even the most recent safety-aligned LLMs are not robust to simple adaptive jailbreaking attacks. We demonstrate how to successfully leverage access to logprobs for jailbreaking: we initially design an adversarial prompt template (sometimes adapted to the target LLM), and then we apply random search on a suffix to maximize the target logprob (e.g., of the token ``Sure''), potentially with multiple restarts. In this way, we achieve nearly 100% attack success rate---according to GPT-4 as a judge---on GPT-3.5/4, Llama-2-Chat-7B/13B/70B, Gemma-7B, and R2D2 from HarmBench that was adversarially trained against the GCG attack. We also show how to jailbreak all Claude models---that do not expose logprobs---via either a transfer or prefilling attack with 100% success rate. In addition, we show how to use random search on a restricted set of tokens for finding trojan strings in poisoned models---a task that shares many similarities with jailbreaking---which is the algorithm that brought us the first place in the SaTML'24 Trojan Detection Competition. The common theme behind these attacks is that adaptivity is crucial: different models are vulnerable to different prompting templates (e.g., R2D2 is very sensitive to in-context learning prompts), some models have unique vulnerabilities based on their APIs (e.g., prefilling for Claude), and in some settings it is crucial to restrict the token search space based on prior knowledge (e.g., for trojan detection).

The ASReview project implements active learning for systematic reviews, utilizing AI-aided pipelines to assist in finding relevant texts for search tasks. It accelerates the screening of textual data with minimal human input, saving time and increasing output quality. The software offers three modes: Oracle for interactive screening, Exploration for teaching purposes, and Simulation for evaluating active learning models. ASReview LAB is designed to support decision-making in any discipline or industry by improving efficiency and transparency in screening large amounts of textual data.

MiniSearch is a minimalist search engine with integrated browser-based AI. It is privacy-focused, easy to use, cross-platform, integrated, time-saving, efficient, optimized, and open-source. MiniSearch can be used for a variety of tasks, including searching the web, finding files on your computer, and getting answers to questions. It is a great tool for anyone who wants a fast, private, and easy-to-use search engine.

AMD-AI is a repository containing detailed instructions for installing, setting up, and configuring ROCm on Ubuntu systems with AMD GPUs. The repository includes information on installing various tools like Stable Diffusion, ComfyUI, and Oobabooga for tasks like text generation and performance tuning. It provides guidance on adding AMD GPU package sources, installing ROCm-related packages, updating system packages, and finding graphics devices. The instructions are aimed at users with AMD hardware looking to set up their Linux systems for AI-related tasks.

OpenModelDB is a community-driven database of AI upscaling models, providing a centralized platform for users to access and compare various models. The repository contains a collection of models and model metadata, facilitating easy exploration and evaluation of different AI upscaling solutions. With a focus on enhancing the accessibility and usability of AI models, OpenModelDB aims to streamline the process of finding and selecting the most suitable models for specific tasks or projects.

AI Toolkit for Visual Studio Code simplifies generative AI app development by bringing together cutting-edge AI development tools and models from Azure AI Studio Catalog and other catalogs like Hugging Face. Users can browse the AI models catalog, download them locally, fine-tune, test, and deploy them to the cloud. The toolkit offers actions such as finding supported models, testing model inference, fine-tuning models locally or remotely, and deploying fine-tuned models to the cloud. It also provides optimized AI models for Windows and a Q&A section for common issues and resolutions.

Magic_Words is a repository containing code for the paper 'What's the Magic Word? A Control Theory of LLM Prompting'. It implements greedy back generation and greedy coordinate gradient (GCG) to find optimal control prompts (magic words). Users can set up a virtual environment, install the package and dependencies, and run example scripts for pointwise control and optimizing prompts for datasets. The repository provides scripts for finding optimal control prompts for question-answer pairs and dataset optimization using the GCG algorithm.

This competition is organized by Javier Rando and Florian Tramèr from the ETH AI Center and SPY Lab at ETH Zurich. The goal of the competition is to create a method that can detect universal backdoors in aligned language models. A universal backdoor is a secret suffix that, when appended to any prompt, enables the model to answer harmful instructions. The competition provides a set of poisoned generation models, a reward model that measures how safe a completion is, and a dataset with prompts to run experiments. Participants are encouraged to use novel methods for red-teaming, automated approaches with low human oversight, and interpretability tools to find the trojans. The best submissions will be offered the chance to present their work at an event during the SaTML 2024 conference and may be invited to co-author a publication summarizing the competition results.

DocsGPT is an open-source documentation assistant powered by GPT models. It simplifies the process of searching for information in project documentation by allowing developers to ask questions and receive accurate answers. With DocsGPT, users can say goodbye to manual searches and quickly find the information they need. The tool aims to revolutionize project documentation experiences and offers features like live previews, Discord community, guides, and contribution opportunities. It consists of a Flask app, Chrome extension, similarity search index creation script, and a frontend built with Vite and React. Users can quickly get started with DocsGPT by following the provided setup instructions and can contribute to its development by following the guidelines in the CONTRIBUTING.md file. The project follows a Code of Conduct to ensure a harassment-free community environment for all participants. DocsGPT is licensed under MIT and is built with LangChain.

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.

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This GPT assists in creating impactful investor updates for companies that have already received funding. It asks insightful questions and recommends KPIs and data that should be included, even assisting with formatting and structuring with updates. It prompts you to opt out of sharing chat data.

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