Best AI tools for< Get Matched >

Keeper is an online matchmaking service driven by AI and relationship science, guided by human care. It aims to revolutionize the dating industry by providing personalized matches based on deep analysis of user preferences and traits. Unlike traditional dating apps, Keeper focuses on quality matches that have a higher potential for long-term relationships. The platform combines AI technology with human vetting to ensure accuracy and alignment with human intuition, leading to successful introductions and long-lasting relationships.

Vinetribe is a platform that offers personalized wine recommendations from local shops, curated by trusted creators. The platform aims to make wine more accessible by providing a user-friendly experience for discovering new wines. With the Supermarket Wine Finder feature, users can easily find the perfect wine for their preferences and occasions. Vinetribe is founded on the idea of bringing people together through the enjoyment of wine, making the wine selection process less daunting and more enjoyable.

TinderProfile.ai is an AI-powered service designed to enhance online dating profiles by generating high-quality, realistic photos using artificial intelligence technology. By uploading 10-20 photos, users can receive a set of eye-catching images that aim to improve their match rate on dating apps. The service focuses on creating authentic and attention-grabbing pictures that reflect the user's personality, helping them stand out in the online dating world. With a quick turnaround time and affordable pricing, TinderProfile.ai offers a convenient solution for individuals looking to upgrade their online presence effortlessly.

ROAST is an AI-powered dating profile review service that helps users optimize their profiles to get more matches. The service uses data-driven insights and expert advice to provide personalized feedback on users' photos, bios, and overall profile strategy. ROAST also offers a quiz that helps users identify their dating goals and provides tailored advice based on their answers.

LoveGenius is an AI-powered tool designed to optimize your dating profile for Tinder, Bumble, and other dating apps. It uses advanced algorithms to generate personalized bios, opening lines, and chat replies to help you attract better matches. The tool is built on the latest research from Tilburg University and is fine-tuned by leading dating experts to increase your dating success. LoveGenius aims to revolutionize the online dating landscape by offering creative and authentic profiles tailored to individual users.

Dating Photo AI is an AI-powered application designed to enhance your dating profile by generating photos that look like you, helping you get more matches on dating platforms. The application uses advanced AI techniques to analyze and optimize your photos, ensuring they reflect your true self and attract potential matches. With a user-friendly interface and a satisfaction guarantee, Dating Photo AI offers a cost-efficient alternative to traditional photoshoots, making it easier for singles to showcase their best selves online.

Wrangle is an AI-powered job search and resume builder platform designed to help job seekers find jobs faster and more efficiently. The platform offers personalized AI copilot assistance, extensive job information, resume creation tools, job tracking features, and a learning algorithm to improve job matches. Wrangle provides a user-friendly experience with a focus on data security and no ads or subscriptions.

SwipeIQ is an AI-boosted dating application that enhances your Tinder experience by providing advanced features powered by artificial intelligence. With features like auto-swiping, GPT-4 chat suggestions, and keyword blacklist, SwipeIQ aims to help users get more matches and better dates. The application offers different subscription plans with varying features and benefits to cater to different user needs.

Swooped is an AI-powered platform that offers AI-generated resumes and cover letters optimized to pass ATS system filters and increase visibility to potential employers. It provides personalized job matches, AI-driven resume and cover letter optimization, and a user-friendly interface to streamline the job search process. Swooped helps users save time, apply for more jobs effortlessly, and stand out from the competition to land their dream job.

LifeShack is an AI-powered job search tool that revolutionizes the job application process. It automates job searching, evaluation, and application submission, saving users time and increasing their chances of landing top-notch opportunities. With features like automatic job matching, AI-optimized cover letters, and tailored resumes, LifeShack streamlines the job search experience and provides peace of mind to job seekers.

Built In LA is an online community for startups and tech companies in Los Angeles. It provides a platform for job seekers to find tech jobs, tech companies to find talent, and tech enthusiasts to stay up-to-date on the latest news and events in the LA tech scene.

Built In Colorado is an online community for startups and tech companies in Colorado. It provides a platform for job seekers to find tech jobs, tech companies to find talent, and tech enthusiasts to stay up-to-date on the latest news and events in the Colorado tech scene.

WingmanX is an AI dating assistant designed to help users improve their dating game by providing personalized pick-up lines and conversation starters. The application uses artificial intelligence algorithms to analyze user preferences and suggest the most suitable lines to use in various dating scenarios. With WingmanX, users can enhance their flirting skills and increase their chances of making a meaningful connection with potential partners. The platform offers a user-friendly interface and a wide range of features to assist users in navigating the complex world of modern dating.

Autopilot for Tinder is an AI tool designed to automate interactions on the popular dating app Tinder. It utilizes artificial intelligence algorithms to analyze user profiles, preferences, and behaviors to autonomously swipe and engage with potential matches. The tool aims to streamline the dating experience by saving time and effort for users, allowing them to focus on meaningful conversations and connections.

Podcast Hawk is an AI-powered platform that helps you find and book podcast guest appearances. With a database of over 4 million podcasts, Podcast Hawk makes it easy to find the perfect shows to be a guest on and get booked on auto-pilot. You can search for shows by keyword, topic, or niche, and Podcast Hawk will provide you with a list of potential matches. You can then customize your pitch to each show and send follow ups automatically. Podcast Hawk also provides you with a suite of tools to help you promote your podcast appearances and grow your brand.

Jobsolv is an all-in-one job search platform that simplifies the application process for high-paying remote and hybrid roles. It offers a personalized AI-smart job board, automated resume tailoring, and one-click job applications. With Jobsolv, job seekers can efficiently apply to multiple jobs, increasing their chances of securing interviews and landing their dream jobs.

LEVI AI Recruiting Software is a modern recruitment automation platform powered by artificial intelligence. It revolutionizes the candidate evaluation and selection process by using advanced AI recruitment tools. LEVI assists in making data-driven hiring decisions, matches candidates to job requirements, conducts independent interviews, generates comprehensive reports, integrates with hiring systems, and enables informed and efficient hiring decisions. The application unlocks the full potential of machine learning models, eliminates bias in the hiring process, and automates candidate screening. LEVI's AI-powered recruitment tools change how candidate evaluations are performed through automated resume screening, candidate sourcing, and AI interview assessments.

LoveGenius Sidekick is an AI-powered dating assistant designed to help you craft captivating pickup lines, generate witty replies, optimize your dating profile, and provide engaging questions to spark meaningful conversations. With Sidekick, you can elevate your dating game, increase your chances of getting matches, and land more dates.

EarnBetter is an AI-powered platform that offers assistance in creating professional resumes, cover letters, and job search support. The platform utilizes artificial intelligence to rewrite and reformat resumes, generate tailored cover letters, provide personalized job matches, and offer interview support. Users can upload their current resume to get started and access a range of features to enhance their job search process. EarnBetter aims to streamline the job search experience by providing free, unlimited, and professional document creation services.

InteriorAI Room Planner is an AI-powered interior design tool that allows users to easily transform any room in their home. With just a photo, the AI technology can create a high-quality design that considers dimensions, lighting, and furniture. Users can also get personalized advice from an AI design expert to help them create a space that matches their style and preferences.

This tool is a machine learning AI used to predict the winners and under/overs of NBA games. It takes all team data from the 2007-08 season to the current season, matched with odds of those games, and uses a neural network to predict winning bets for today's games. The tool achieves ~69% accuracy on money lines and ~55% on under/overs. It outputs expected value for teams' money lines to provide better insight and the fraction of your bankroll to bet based on the Kelly Criterion. A popular, less risky approach is to bet 50% of the stake recommended by the Kelly Criterion.

Reader is a tool that converts any URL to an LLM-friendly input with a simple prefix `https://r.jina.ai/`. It improves the output for your agent and RAG systems at no cost. Reader supports image reading, captioning all images at the specified URL and adding `Image [idx]: [caption]` as an alt tag. This enables downstream LLMs to interact with the images in reasoning, summarizing, etc. Reader offers a streaming mode, useful when the standard mode provides an incomplete result. In streaming mode, Reader waits a bit longer until the page is fully rendered, providing more complete information. Reader also supports a JSON mode, which contains three fields: `url`, `title`, and `content`. Reader is backed by Jina AI and licensed under Apache-2.0.

Moatless Tools is a hobby project focused on experimenting with using Large Language Models (LLMs) to edit code in large existing codebases. The project aims to build tools that insert the right context into prompts and handle responses effectively. It utilizes an agentic loop functioning as a finite state machine to transition between states like Search, Identify, PlanToCode, ClarifyChange, and EditCode for code editing tasks.

PDFToChat is a tool that allows users to chat with their PDF documents in seconds. It is powered by Together AI and Pinecone, utilizing a tech stack including Next.js, Mixtral, M2 Bert, LangChain.js, MongoDB Atlas, Bytescale, Vercel, Clerk, and Tailwind CSS. Users can deploy the tool to Vercel or any other host by setting up Together.ai, MongoDB Atlas database, Bytescale, Clerk, and Vercel. The tool enables users to interact with PDFs through chat, with future tasks including adding features like trash icon for deleting PDFs, exploring different embedding models, implementing auto scrolling, improving replies, benchmarking accuracy, researching chunking and retrieval best practices, adding demo video, upgrading to Next.js 14, adding analytics, customizing tailwind prose, saving chats in postgres DB, compressing large PDFs, implementing custom uploader, session tracking, error handling, and support for images in PDFs.

VideoDB Python SDK allows you to interact with the VideoDB serverless database. Manage videos as intelligent data, not files. It's scalable, cost-efficient & optimized for AI applications and LLM integration. The SDK provides functionalities for uploading videos, viewing videos, streaming specific sections of videos, searching inside a video, searching inside multiple videos in a collection, adding subtitles to a video, generating thumbnails, and more. It also offers features like indexing videos by spoken words, semantic indexing, and future indexing options for scenes, faces, and specific domains like sports. The SDK aims to simplify video management and enhance AI applications with video data.

ai-collective-tools is an open-source community dedicated to creating a comprehensive collection of AI tools for developers, researchers, and enthusiasts. The repository provides a curated selection of AI tools and resources across various categories such as 3D, Agriculture, Art, Audio Editing, Avatars, Chatbots, Code Assistant, Cooking, Copywriting, Crypto, Customer Support, Dating, Design Assistant, Design Generator, Developer, E-Commerce, Education, Email Assistant, Experiments, Fashion, Finance, Fitness, Fun Tools, Gaming, General Writing, Gift Ideas, HealthCare, Human Resources, Image Classification, Image Editing, Image Generator, Interior Designing, Legal Assistant, Logo Generator, Low Code, Models, Music, Paraphraser, Personal Assistant, Presentations, Productivity, Prompt Generator, Psychology, Real Estate, Religion, Research, Resume, Sales, Search Engine, SEO, Shopping, Social Media, Spreadsheets, SQL, Startup Tools, Story Teller, Summarizer, Testing, Text to Speech, Text to Image, Transcriber, Travel, Video Editing, Video Generator, Weather, Writing Generator, and Other Resources.

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.

Marqo is more than a vector database, it's an end-to-end vector search engine for both text and images. Vector generation, storage and retrieval are handled out of the box through a single API. No need to bring your own embeddings.

AirSane is a SANE frontend and scanner server that supports Apple's AirScan protocol. It automatically detects scanners and publishes them through mDNS. Acquired images can be transferred in JPEG, PNG, and PDF/raster format. The tool is intended to be used with AirScan/eSCL clients such as Apple's Image Capture, sane-airscan on Linux, and the eSCL client built into Windows 10 and 11. It provides a simple web interface and encodes images on-the-fly to keep memory/storage demands low, making it suitable for devices like Raspberry Pi. Authentication and secure communication are supported in conjunction with a proxy server like nginx. AirSane has been reverse-engineered from Apple's AirScanScanner client communication protocol and offers a range of installation and configuration options for different operating systems.

QANTA is a system and dataset for question answering tasks. It provides a script to download datasets, preprocesses questions, and matches them with Wikipedia pages. The system includes various datasets, training, dev, and test data in JSON and SQLite formats. Dependencies include Python 3.6, `click`, and NLTK models. Elastic Search 5.6 is needed for the Guesser component. Configuration is managed through environment variables and YAML files. QANTA supports multiple guesser implementations that can be enabled/disabled. Running QANTA involves using `cli.py` and Luigi pipelines. The system accesses raw Wikipedia dumps for data processing. The QANTA ID numbering scheme categorizes datasets based on events and competitions.

The Amazon Transcribe Live Call Analytics (LCA) with Agent Assist Sample Solution is designed to help contact centers assess and optimize caller experiences in real time. It leverages Amazon machine learning services like Amazon Transcribe, Amazon Comprehend, and Amazon SageMaker to transcribe and extract insights from contact center audio. The solution provides real-time supervisor and agent assist features, integrates with existing contact centers, and offers a scalable, cost-effective approach to improve customer interactions. The end-to-end architecture includes features like live call transcription, call summarization, AI-powered agent assistance, and real-time analytics. The solution is event-driven, ensuring low latency and seamless processing flow from ingested speech to live webpage updates.

The Slack Bot is a tool designed to enhance the workflow of development teams by integrating with Jenkins, GitHub, GitLab, and Jira. It allows for custom commands, macros, crons, and project-specific commands to be implemented easily. Users can interact with the bot through Slack messages, execute commands, and monitor job progress. The bot supports features like starting and monitoring Jenkins jobs, tracking pull requests, querying Jira information, creating buttons for interactions, generating images with DALL-E, playing quiz games, checking weather, defining custom commands, and more. Configuration is managed via YAML files, allowing users to set up credentials for external services, define custom commands, schedule cron jobs, and configure VCS systems like Bitbucket for automated branch lookup in Jenkins triggers.

The vscode-pddl extension provides comprehensive support for Planning Domain Description Language (PDDL) in Visual Studio Code. It enables users to model planning domains, validate them, industrialize planning solutions, and run planners. The extension offers features like syntax highlighting, auto-completion, plan visualization, plan validation, plan happenings evaluation, search debugging, and integration with Planning.Domains. Users can create PDDL files, run planners, visualize plans, and debug search algorithms efficiently within VS Code.

LangChain for Swift. Optimized for iOS, macOS, watchOS (part) and visionOS.(beta) This is a pure client library, no server required

Fabric is an open-source framework for augmenting humans using AI. It provides a structured approach to breaking down problems into individual components and applying AI to them one at a time. Fabric includes a collection of pre-defined Patterns (prompts) that can be used for a variety of tasks, such as extracting the most interesting parts of YouTube videos and podcasts, writing essays, summarizing academic papers, creating AI art prompts, and more. Users can also create their own custom Patterns. Fabric is designed to be easy to use, with a command-line interface and a variety of helper apps. It is also extensible, allowing users to integrate it with their own AI applications and infrastructure.

Intel® Neural Compressor is an open-source Python library that supports popular model compression techniques such as quantization, pruning (sparsity), distillation, and neural architecture search on mainstream frameworks such as TensorFlow, PyTorch, ONNX Runtime, and MXNet. It provides key features, typical examples, and open collaborations, including support for a wide range of Intel hardware, validation of popular LLMs, and collaboration with cloud marketplaces, software platforms, and open AI ecosystems.

Code2Prompt is a powerful command-line tool that generates comprehensive prompts from codebases, designed to streamline interactions between developers and Large Language Models (LLMs) for code analysis, documentation, and improvement tasks. It bridges the gap between codebases and LLMs by converting projects into AI-friendly prompts, enabling users to leverage AI for various software development tasks. The tool offers features like holistic codebase representation, intelligent source tree generation, customizable prompt templates, smart token management, Gitignore integration, flexible file handling, clipboard-ready output, multiple output options, and enhanced code readability.

T-MAC is a kernel library that directly supports mixed-precision matrix multiplication without the need for dequantization by utilizing lookup tables. It aims to boost low-bit LLM inference on CPUs by offering support for various low-bit models. T-MAC achieves significant speedup compared to SOTA CPU low-bit framework (llama.cpp) and can even perform well on lower-end devices like Raspberry Pi 5. The tool demonstrates superior performance over existing low-bit GEMM kernels on CPU, reduces power consumption, and provides energy savings. It achieves comparable performance to CUDA GPU on certain tasks while delivering considerable power and energy savings. T-MAC's method involves using lookup tables to support mpGEMM and employs key techniques like precomputing partial sums, shift and accumulate operations, and utilizing tbl/pshuf instructions for fast table lookup.

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