Best AI tools for< Find New Altcoins >
20 - AI tool Sites
Find New AI
Find New AI is a comprehensive platform offering a variety of AI tools and efficiency solutions for different purposes such as SEO, content creation, marketing, link building, image manipulation, and more. The website provides reviews, tutorials, and guides on utilizing AI software effectively to enhance productivity and creativity in various domains.
CustomerPing
CustomerPing is an AI tool designed to help businesses find new customers by monitoring online conversations and sending alerts when potential leads are identified. The tool automates the prospecting process, saving time and effort for entrepreneurs. CustomerPing offers a unique approach to customer discovery, allowing users to engage with relevant discussions and build trust with potential customers. With features like Radar Stations, RSS feeds, and personalized notifications, CustomerPing streamlines the customer acquisition process and empowers businesses to connect with their target audience effectively.
NextThreeBooks.com
NextThreeBooks.com is an AI-powered book recommendation service that provides personalized suggestions based on your reading preferences. Share your preferences, tell us about yourself, and receive three carefully curated book suggestions with detailed explanations. We use GPT-3 to provide personalized book suggestions tailored to your reading preferences. Find your next favorite read with ease!
ProductHunt AI 2.0
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.
Infinite Meals
Infinite Meals is a web application that provides users with a new meal idea every day. It is powered by GPT-3.5-Turbo-1106 from Open AI. The application is designed to help users find new and exciting recipes to cook. It offers a variety of features, including the ability to search for recipes by category, ingredient, or cuisine. Users can also save their favorite recipes and create meal plans.
Tapult
Tapult is a platform designed to help users build backlinks and partnerships to grow their website traffic. It simplifies the process of acquiring high-quality backlinks, enhancing website authority, and improving search result rankings. With features like identifying partnership opportunities, streamlining link-building, and connecting with relevant partners, Tapult aims to make the link-building process efficient and effective for bloggers, niche website owners, SaaS/app developers, e-commerce merchants, affiliate marketers, and SEO managers.
Orb Plugins
Orb Plugins offers a suite of AI-powered music production tools designed for composers, producers, and DJs. Their flagship product, Orb Producer 3, assists users in generating chords, melodies, and rhythms, while Orb Synth X provides a state-of-the-art wavetable synthesizer. Orb Orchestra is tailored for composers, enabling them to experiment with new musical ideas and compose efficiently. The plugins are known for their user-friendly interface, seamless DAW integration, and ability to break creative blocks. Many professionals in the music industry use Orb Plugins to enhance their workflow and explore new sonic possibilities.
Reverb Street
Reverb Street is an AI-powered tool that helps podcasters create short-form video clips from their audio content. These clips can then be shared on social media to promote the podcast and reach a wider audience. Reverb Street is easy to use and requires no technical expertise. Simply connect your podcast feed, select the episode you want to promote, and choose the style of your clip. Reverb Street will automatically generate a video clip that is optimized for social media. You can then customize the clip with your own branding and messaging. Reverb Street is a valuable tool for podcasters who want to grow their audience and reach more listeners.
FindAMeal
FindAMeal is an AI-powered search engine that helps users discover nearby restaurants based on their personal preferences. By combining data from various food review providers and utilizing AI technology, FindAMeal simplifies the process of finding the perfect dining spot. Users can make any type of query, from finding a date spot to selecting a fancy restaurant for special occasions. The platform aggregates information from sources like Google, Yelp, and Foursquare to offer tailored recommendations, making it easy for users to explore new dining experiences.
Product Hunt
Product Hunt is a website that allows users to discover and launch new tech products. It features a variety of products, including apps, websites, hardware, and more. Product Hunt also has a community of users who share their thoughts on new products and vote on their favorites. The site is a great way to find new and innovative products, as well as to get feedback on your own products.
BooksAI
BooksAI is an AI-powered tool that provides book summaries, recommendations, and more. With over 40 million book summaries available, BooksAI makes it easy to discover new books and learn about your favorites. BooksAI's summaries are concise and easy to understand, making them perfect for busy professionals, students, and anyone who wants to learn more about the world's greatest books.
Village
Village is an AI-powered platform that helps you build and manage your social capital. It provides you with the tools and insights you need to connect with the right people, build strong relationships, and achieve your goals.
Dribbble
Dribbble is a platform that connects designers with potential clients. It allows designers to showcase their work, find new clients, and get feedback from other designers. Dribbble also offers a variety of resources for designers, including tutorials, articles, and job listings.
GoAudience
GoAudience is a custom audience platform that leverages AI to help brands find new customers based on their credit card spending history. It integrates easily with Meta and is effective across all categories. The platform offers features such as AI-powered audience creation, real-time consumer spending data, plug-and-play simplicity, enterprise precision at SMB pricing, and the ability to pause subscriptions anytime. GoAudience enables users to create top-performing custom audiences, track performance, measure ROI, and present results easily. It aims to provide targeting that is always on target by building custom audience lists from real-time consumer spending data. The platform prioritizes user privacy by securely transmitting data and deleting raw data after transmission.
The StoryGraph
The StoryGraph is a book tracking and recommendation app that uses machine learning to help users find books they'll enjoy. It offers a variety of features, including personalized recommendations, mood-based browsing, and social features like book clubs and reading buddies. The StoryGraph is a great tool for anyone who loves to read and wants to discover new books.
LeadFuze
LeadFuze is an AI-powered prospecting tool for business leads and candidate sourcing. It offers unlimited and automated lead generation software that sets lead generation on autopilot. LeadFuze aggregates, matches, and verifies information in real-time across 500+ million people. It provides accurate contact and data intelligence for revenue teams and recruiters, with top ratings for ease-of-use, quality of support, and ease-of-setup. The tool is built specifically for sales, marketing, and recruiting use cases, offering hyper-targeted lead searches, complete list building automation, and integration with CRM and workflow tools. LeadFuze's AI capabilities allow users to find new leads, search specific accounts, and automate lead generation workflows effortlessly.
cookAIfood
cookAIfood is an AI-powered platform that enables users to create, share, and discover AI-generated food recipes. It allows users to explore the limitless possibilities of artificial intelligence in the kitchen. With cookAIfood, users can discover hundreds of AI-generated, innovative recipes, create their own unique recipes with just one click, share their delicious recipes and connect with other foodies, and utilize advanced tools such as diet planner, grocery lists, printable cookbooks, calorie counter, meal planning, and nutrition monitoring.
Careerflow
Careerflow is a free AI-powered job search platform that provides a suite of tools and resources to help job seekers land their dream jobs faster. The platform includes an AI resume builder, LinkedIn profile optimizer, mock interview tool, job tracker, and more. Careerflow is designed to help job seekers save time and effort in their job search, and to increase their chances of getting hired at their dream companies.
My CV Creator
My CV Creator is an online resume builder with AI assistance that helps users create professional-quality resumes, cover letters, and resume websites in minutes. The platform offers a range of features including pre-written examples, expert tips, and a flexible text editor. My CV Creator is designed to make the resume writing process faster and easier, and to help users stand out from the competition.
TweetEmote
TweetEmote is an AI-powered tweet assistant that helps users create engaging and impactful tweets. It offers a range of features including the ability to generate tweets, replies, and article threads, as well as access to a variety of emotions and styles. TweetEmote is designed to help users stand out on Twitter and connect with others in a more meaningful way.
20 - Open Source AI Tools
free-one-api
Free-one-api is a tool that allows access to all LLM reverse engineering libraries in a standard OpenAI API format. It supports automatic load balancing, Web UI, stream mode, multiple LLM reverse libraries, heartbeat detection mechanism, automatic disabling of unavailable channels, and runtime log recording. The tool is designed to work with the 'one-api' project and 'songquanpeng/one-api' for accessing official interfaces of various LLMs (paid). Contributors are needed to test adapters, find new reverse engineering libraries, and submit PRs.
linkedin-api
The Linkedin API for Python allows users to programmatically search profiles, send messages, and find jobs using a regular Linkedin user account. It does not require 'official' API access, just a valid Linkedin account. However, it is important to note that this library is not officially supported by LinkedIn and using it may violate LinkedIn's Terms of Service. Users can authenticate using any Linkedin account credentials and access features like getting profiles, profile contact info, and connections. The library also provides commercial alternatives for extracting data, scraping public profiles, and accessing a full LinkedIn API. It is not endorsed or supported by LinkedIn and is intended for educational purposes and personal use only.
commonplace-bot
Commonplace Bot is a modern representation of the commonplace book, leveraging modern technological advancements in computation, data storage, machine learning, and networking. It aims to capture, engage, and share knowledge by providing a platform for users to collect ideas, quotes, and information, organize them efficiently, engage with the data through various strategies and triggers, and transform the data into new mediums for sharing. The tool utilizes embeddings and cached transformations for efficient data storage and retrieval, flips traditional engagement rules by engaging with the user, and enables users to alchemize raw data into new forms like art prompts. Commonplace Bot offers a unique approach to knowledge management and creative expression.
stockbot-on-groq
StockBot Powered by Groq is an AI-powered chatbot that provides lightning-fast responses with live interactive stock charts, financial data, news, screeners, and more. Leveraging Groq's speed and Vercel's AI SDK, StockBot offers real-time conversation with natural language processing, interactive TradingView charts, adaptive interfaces, and multi-asset market coverage. It is designed for entertainment and instructional use, not for investment advice.
second-brain-agent
The Second Brain AI Agent Project is a tool designed to empower personal knowledge management by automatically indexing markdown files and links, providing a smart search engine powered by OpenAI, integrating seamlessly with different note-taking methods, and enhancing productivity by accessing information efficiently. The system is built on LangChain framework and ChromaDB vector store, utilizing a pipeline to process markdown files and extract text and links for indexing. It employs a Retrieval-augmented generation (RAG) process to provide context for asking questions to the large language model. The tool is beneficial for professionals, students, researchers, and creatives looking to streamline workflows, improve study sessions, delve deep into research, and organize thoughts and ideas effortlessly.
airdrop-checker
Airdrop-checker is a tool that helps you to check if you are eligible for any airdrops. It supports multiple airdrops, including Altlayer, Rabby points, Zetachain, Frame, Anoma, Dymension, and MEME. To use the tool, you need to install it using npm and then fill the addresses files in the addresses folder with your wallet addresses. Once you have done this, you can run the tool using npm start.
llms-tools
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.
AzureOpenAI-with-APIM
AzureOpenAI-with-APIM is a repository that provides a one-button deploy solution for Azure API Management (APIM), Key Vault, and Log Analytics to work seamlessly with Azure OpenAI endpoints. It enables organizations to scale and manage their Azure OpenAI service efficiently by issuing subscription keys via APIM, delivering usage metrics, and implementing policies for access control and cost management. The repository offers detailed guidance on implementing APIM to enhance Azure OpenAI resiliency, scalability, performance, monitoring, and chargeback capabilities.
llm-random
This repository contains code for research conducted by the LLM-Random research group at IDEAS NCBR in Warsaw, Poland. The group focuses on developing and using this repository to conduct research. For more information about the group and its research, refer to their blog, llm-random.github.io.
deep-seek
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.
companion-vscode
Quack Companion is a VSCode extension that provides smart linting, code chat, and coding guideline curation for developers. It aims to enhance the coding experience by offering a new tab with features like curating software insights with the team, code chat similar to ChatGPT, smart linting, and upcoming code completion. The extension focuses on creating a smooth contribution experience for developers by turning contribution guidelines into a live pair coding experience, helping developers find starter contribution opportunities, and ensuring alignment between contribution goals and project priorities. Quack collects limited telemetry data to improve its services and products for developers, with options for anonymization and disabling telemetry available to users.
awesome-ai-tools
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.
ai-driven-dev-community
AI Driven Dev Community is a repository aimed at helping developers become more efficient by utilizing AI tools in their daily coding tasks. It provides a collection of tools, prompts, snippets, and agents for developers to integrate AI into their workflow. The repository is regularly updated with new resources and focuses on best practices for using AI in development work. Users can find tools like Espanso, ChatGPT, GitHub Copilot, and VSCode recommended for enhancing their coding experience. Additionally, the repository offers guidance on customizing AI for developers, installing AI toolbox for software engineers, and contributing to the community through easy steps.
json_repair
This simple package can be used to fix an invalid json string. To know all cases in which this package will work, check out the unit test. Inspired by https://github.com/josdejong/jsonrepair Motivation Some LLMs are a bit iffy when it comes to returning well formed JSON data, sometimes they skip a parentheses and sometimes they add some words in it, because that's what an LLM does. Luckily, the mistakes LLMs make are simple enough to be fixed without destroying the content. I searched for a lightweight python package that was able to reliably fix this problem but couldn't find any. So I wrote one How to use from json_repair import repair_json good_json_string = repair_json(bad_json_string) # If the string was super broken this will return an empty string You can use this library to completely replace `json.loads()`: import json_repair decoded_object = json_repair.loads(json_string) or just import json_repair decoded_object = json_repair.repair_json(json_string, return_objects=True) Read json from a file or file descriptor JSON repair provides also a drop-in replacement for `json.load()`: import json_repair try: file_descriptor = open(fname, 'rb') except OSError: ... with file_descriptor: decoded_object = json_repair.load(file_descriptor) and another method to read from a file: import json_repair try: decoded_object = json_repair.from_file(json_file) except OSError: ... except IOError: ... Keep in mind that the library will not catch any IO-related exception and those will need to be managed by you Performance considerations If you find this library too slow because is using `json.loads()` you can skip that by passing `skip_json_loads=True` to `repair_json`. Like: from json_repair import repair_json good_json_string = repair_json(bad_json_string, skip_json_loads=True) I made a choice of not using any fast json library to avoid having any external dependency, so that anybody can use it regardless of their stack. Some rules of thumb to use: - Setting `return_objects=True` will always be faster because the parser returns an object already and it doesn't have serialize that object to JSON - `skip_json_loads` is faster only if you 100% know that the string is not a valid JSON - If you are having issues with escaping pass the string as **raw** string like: `r"string with escaping\"" Adding to requirements Please pin this library only on the major version! We use TDD and strict semantic versioning, there will be frequent updates and no breaking changes in minor and patch versions. To ensure that you only pin the major version of this library in your `requirements.txt`, specify the package name followed by the major version and a wildcard for minor and patch versions. For example: json_repair==0.* In this example, any version that starts with `0.` will be acceptable, allowing for updates on minor and patch versions. How it works This module will parse the JSON file following the BNF definition:
tiledesk-server
Tiledesk-server is the server engine of Tiledesk. Tiledesk is an Open Source Live Chat platform with integrated Chatbots written in NodeJs and Express. Build your own customer support with a multi-channel platform for Web, Android and iOS. Designed to be open source since the beginning, we actively worked on it to create a totally new, first class customer service platform based on instant messaging. What is Tiledesk today? It became the open source “conversational app development” platform that everyone needs 😌 You can use Tiledesk to increase sales for your website or for post-sales customer service. Every conversation can be automated using our first class native chatbot technology. You can also connect your own applications using our APIs or Webhooks. Moreover you can deploy entire visual applications inside a conversation. And your applications can converse with your chatbots or your end-users! We know this is cool 😎 Tiledesk is multichannel in a totally new way. You can write your chatbot scripts with images, buttons and other cool elements that your channels support. But you will configureyour chatbot replies only once. They will run on every channel, auto-adapting the responses to the target channel whatever it is, Whatsapp, Facebook Messenger, Telegram etc. More info on Tiledesk website: https://www.tiledesk.com. You can find technical documentation here: https://developer.tiledesk.com
mobius
Mobius is an AI infra platform including realtime computing and training. It is built on Ray, a distributed computing framework, and provides a number of features that make it well-suited for online machine learning tasks. These features include: * **Cross Language**: Mobius can run in multiple languages (only Python and Java are supported currently) with high efficiency. You can implement your operator in different languages and run them in one job. * **Single Node Failover**: Mobius has a special failover mechanism that only needs to rollback the failed node itself, in most cases, to recover the job. This is a huge benefit if your job is sensitive about failure recovery time. * **AutoScaling**: Mobius can generate a new graph with different configurations in runtime without stopping the job. * **Fusion Training**: Mobius can combine TensorFlow/Pytorch and streaming, then building an e2e online machine learning pipeline. Mobius is still under development, but it has already been used to power a number of real-world applications, including: * A real-time recommendation system for a major e-commerce company * A fraud detection system for a large financial institution * A personalized news feed for a major news organization If you are interested in using Mobius for your own online machine learning projects, you can find more information in the documentation.
deepdoctection
**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.
x-hiring
X-Hiring is a job search tool that uses Google AI to extract summaries of the latest job postings. It is easy to install and run, and can be used to find jobs in a variety of fields. X-Hiring is also open source, so you can contribute to its development or create your own custom version.
rlhf_trojan_competition
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.
20 - OpenAI Gpts
Business Analyst (SaaS)
Your supportive partner in SaaS sales strategy! Helps you find new leads, conducts research, and much more!
Seek
Personalized Product and Brand Discovery Assistant, with a focus on new-age Indian brands.
Song Cover Recommender
Enthusiastic YouTuber GPT finding trending YouTube music links in ballads, R&B, hip hop
Discover Unknown Taste GPT
It is an adaptive communicator and predicts unknown tastes for a wide variety of dishes.
BassBot - Good Music and Bangers Only
Bass Music | EDM | Trap | Wave | Dubstep | Drum 'n Bass | Bass House | Electronic |
Virtual Hair Stylist
I will create personalized reference photos to show your hair stylist. Upload a photo to try.