Best AI tools for< Skip Job >
20 - AI tool Sites

AI Resume and Cover Letter Builder
The AI Resume and Cover Letter Builder is an AI tool designed to assist mid-career professionals in creating tailored resumes and cover letters that showcase their achievements and skills. By leveraging AI-powered suggestions, users can easily craft winning resumes and cover letters, increasing their chances of landing their dream job. The tool eliminates the need for expensive career coaches, boring Word templates, and hours of frustrating writing, offering an affordable and efficient solution for job seekers.

SimpleBio
SimpleBio is an AI-powered tool that helps users turn their LinkedIn profiles into personalized websites quickly and easily. By leveraging AI technology, SimpleBio allows users to skip writer's block and generate the first draft of their personal webpage. Users can customize the design by choosing colors and fonts, adding social media links and projects. With SimpleBio, users can create a polished and professional online presence in just 2 minutes, enhancing their LinkedIn profiles and providing a link-in-bio for various purposes.

Skip
Skip is a BBB accredited company empowering entrepreneurs and small businesses through funding and growth solutions. It offers a marketplace for grants, loans, and financing options, as well as funding insights, eligibility checks, and expert assistance. Skip also has an AI tool to help users with funding-related questions.

AI Intern
AI Intern is an AI-powered assistant application designed to streamline workflows, boost team productivity, and provide real-time support within Slack. It automates repetitive tasks, generates high-quality content, and offers assistance seamlessly integrated into Slack, making workdays simpler, smarter, and more efficient. Trusted by professionals worldwide, AI Intern helps teams focus on strategic work, impactful projects, and innovation while enhancing collaboration and productivity.

LangCall
LangCall is an AI-powered application that allows users to skip the hassle of making phone calls by letting AI agents handle the entire process. From navigating phone menus to connecting you with a human representative, LangCall ensures hold-free calls and fully automated AI interactions. Users can monitor call conversations in real-time and receive AI-generated summaries online. With a simple 1-2-3 process, LangCall offers a user-friendly web interface for effortless call management. The application offers different pricing plans based on usage, starting from a free plan with limited AI calls to premium plans for higher usage.

SkipWatch
SkipWatch is an AI-powered YouTube summarizer that allows users to quickly generate video summaries, saving time and enhancing learning efficiency. With SkipWatch, users can access key information from YouTube videos in seconds, breaking language barriers and accelerating learning. The tool is designed to boost productivity by providing instant video summaries and extracting essential content from videos. Users can easily install SkipWatch as a Chrome extension and enjoy the benefits of efficient content consumption.

Code99
Code99 is an AI-powered platform designed to speed up the development process by providing instant boilerplate code generation. It allows users to customize their tech stack, streamline development, and launch projects faster. Ideal for startups, developers, and IT agencies looking to accelerate project timelines and improve productivity. The platform offers features such as authentication, database support, RESTful APIs, data validation, Swagger API documentation, email integration, state management, modern UI, clean code generation, and more. Users can generate production-ready apps in minutes, transform database schema into React or Nest.js apps, and unleash creativity through effortless editing and experimentation. Code99 aims to save time, avoid repetitive tasks, and help users focus on building their business effectively.

Trends Critical
Trends Critical is an AI text generation SaaS application that leverages AI to provide faster and better outcomes by analyzing niche trends. The platform offers cross-industry insights, real-life hype trends, and mental models to help users grow their businesses efficiently. With support for over 50 languages, Trends Critical unlocks 200+ trends and 60+ AI and document templates, making it a valuable tool for trend analysis and content creation.

OpinioAI
OpinioAI is an AI-powered market research tool that allows users to gain business critical insights from data without the need for costly polls, surveys, or interviews. With OpinioAI, users can create AI personas and market segments to understand customer preferences, affinities, and opinions. The platform democratizes research by providing efficient, effective, and budget-friendly solutions for businesses, students, and individuals seeking valuable insights. OpinioAI leverages Large Language Models to simulate humans and extract opinions in detail, enabling users to analyze existing data, synthesize new insights, and evaluate content from the perspective of their target audience.

DealMachine
DealMachine is a real estate investing platform that provides tools and resources to help investors find, analyze, and acquire off-market properties. The platform includes a variety of features such as driving for dollars, list building, unlimited contact info, marketing automation, and a real estate AI assistant. DealMachine is designed to help investors streamline their real estate investing process and close deals faster.

bgremove.club
bgremove.club is a free online background remover powered by AI. It can automatically remove the background from any image, making it easy to create transparent PNGs. The tool is 100% free to use and does not require any registration.

Descript
Descript is an AI-powered, fully featured, end-to-end video editor that allows users to edit videos and podcasts like working on documents and slides. It offers a range of features including video editing, podcasting, AI-generated clips, remote recording, transcription, screen recording, captions, and more. Descript's AI capabilities enable users to create high-quality content with ease, from editing for clarity to regenerating speech and removing filler words. The platform is designed to streamline the content creation process and enhance collaboration for teams and businesses.

Noiz Video Summarizer
Noiz Video Summarizer is an AI-powered tool designed to summarize YouTube videos efficiently. With just one click, users can get expert-level summaries for videos of any topic and length. The tool offers smart summaries in 41 languages, transforms videos into readable text, and helps users save time by providing concise summaries. Noiz has received positive feedback from over 500,000 users who appreciate its time-saving features and efficiency in summarizing video content.

NutshellPro
NutshellPro is an AI-powered tool that allows users to summarize any video or audio file. It uses advanced natural language processing and machine learning algorithms to extract the key points and generate a concise, easy-to-read summary. NutshellPro is designed to help users save time and effort by quickly getting the gist of any video or audio content.

CognitiveMill™
CognitiveMill™ is a cognitive computing cloud platform designed specifically for the media and entertainment industry. It offers a range of AI-powered solutions for automating video content analysis and production workflows, including automated movie trailer generation, skip intro and outro detection, AI-based celebrity listing automation, nudity filtering, automated subtitle generation, video ad detection and replacement, context-aware video ad insertion, logo detection for branding, automated sports highlights generation, esports games highlights generation, automated video clipping with AI, video summaries, and vertical media adaptation for social networks.

Summarize This
Summarize This is an AI-powered tool that provides instant summaries for text, PDFs, websites, and YouTube videos. It leverages the power of AI to transform content into concise summaries, making information gathering quick and effortless. Users can capture the essence of any text, extract main points from web pages, skip to important parts of videos, and save time by summarizing PDFs. The tool also offers the ability to summarize content on iPhones and Chrome browsers, providing a streamlined summarization experience across various platforms.

XLeads
XLeads is a powerful all-in-one wholesaling software designed to provide wholesalers with a competitive edge in the real estate market. It leverages advanced AI technology to analyze data, find motivated sellers and buyers, and streamline the wholesaling process. XLeads offers features such as AI-enhanced data sourcing, CRM tools, advanced disposition platform, and transformative AI for wholesaling success. The software aims to save users time and money by offering comprehensive tools and services for wholesaling real estate.

Neptune
Neptune is an MLOps stack component for experiment tracking. It allows users to track, compare, and share their models in one place. Neptune is used by scaling ML teams to skip days of debugging disorganized models, avoid long and messy model handovers, and start logging for free.

InstaNovel
InstaNovel is an AI-powered tool that allows users to generate their own mini-novels with just a few clicks. With InstaNovel, you can skip the waiting time and generate more books with premium. You can also choose from a variety of art styles to create a unique and personalized novel. InstaNovel is perfect for anyone who wants to get inspiration, have fun, learn languages, or create funny birthday gifts for someone.

Colossal
Colossal is a global directory of AI agents that allows users to effortlessly integrate tool-using agents for various tasks. Users can connect to AI agents that can perform API calls, skip writing their own tools, and integrate agents with a single fetch. The platform offers agents for support tickets, SMS and email handling, Slack messages, order and catalog operations, financial data management, and more.
20 - Open Source AI Tools

shinkai-apps
Shinkai apps unlock the full capabilities/automation of first-class LLM (AI) support in the web browser. It enables creating multiple agents, each connected to either local or 3rd-party LLMs (ex. OpenAI GPT), which have permissioned (meaning secure) access to act in every webpage you visit. There is a companion repo called Shinkai Node, that allows you to set up the node anywhere as the central unit of the Shinkai Network, handling tasks such as agent management, job processing, and secure communications.

dravid
Dravid (DRD) is an advanced, AI-powered CLI coding framework designed to follow user instructions until the job is completed, including fixing errors. It can generate code, fix errors, handle image queries, manage file operations, integrate with external APIs, and provide a development server with error handling. Dravid is extensible and requires Python 3.7+ and CLAUDE_API_KEY. Users can interact with Dravid through CLI commands for various tasks like creating projects, asking questions, generating content, handling metadata, and file-specific queries. It supports use cases like Next.js project development, working with existing projects, exploring new languages, Ruby on Rails project development, and Python project development. Dravid's project structure includes directories for source code, CLI modules, API interaction, utility functions, AI prompt templates, metadata management, and tests. Contributions are welcome, and development setup involves cloning the repository, installing dependencies with Poetry, setting up environment variables, and using Dravid for project enhancements.

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:

skyvern
Skyvern automates browser-based workflows using LLMs and computer vision. It provides a simple API endpoint to fully automate manual workflows, replacing brittle or unreliable automation solutions. Traditional approaches to browser automations required writing custom scripts for websites, often relying on DOM parsing and XPath-based interactions which would break whenever the website layouts changed. Instead of only relying on code-defined XPath interactions, Skyvern adds computer vision and LLMs to the mix to parse items in the viewport in real-time, create a plan for interaction and interact with them. This approach gives us a few advantages: 1. Skyvern can operate on websites it’s never seen before, as it’s able to map visual elements to actions necessary to complete a workflow, without any customized code 2. Skyvern is resistant to website layout changes, as there are no pre-determined XPaths or other selectors our system is looking for while trying to navigate 3. Skyvern leverages LLMs to reason through interactions to ensure we can cover complex situations. Examples include: 1. If you wanted to get an auto insurance quote from Geico, the answer to a common question “Were you eligible to drive at 18?” could be inferred from the driver receiving their license at age 16 2. If you were doing competitor analysis, it’s understanding that an Arnold Palmer 22 oz can at 7/11 is almost definitely the same product as a 23 oz can at Gopuff (even though the sizes are slightly different, which could be a rounding error!) Want to see examples of Skyvern in action? Jump to #real-world-examples-of- skyvern

start-machine-learning
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.

vidai
vidai is a CLI tool for RunwayML that generates videos using AI. It supports Gen3 and Gen3 Turbo models, allowing users to create videos directly from the command line using text or image prompts. Users can also extend videos, edit videos, and explore unlimited generations. The tool requires a RunwayML account and ffmpeg for extended videos.

start-llms
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.

ml-road-map
The Machine Learning Road Map is a comprehensive guide designed to take individuals from various levels of machine learning knowledge to a basic understanding of machine learning principles using high-quality, free resources. It aims to simplify the complex and rapidly growing field of machine learning by providing a structured roadmap for learning. The guide emphasizes the importance of understanding AI for everyone, the need for patience in learning machine learning due to its complexity, and the value of learning from experts in the field. It covers five different paths to learning about machine learning, catering to consumers, aspiring AI researchers, ML engineers, developers interested in building ML applications, and companies looking to implement AI solutions.

hal9
Hal9 is a tool that allows users to create and deploy generative applications such as chatbots and APIs quickly. It is open, intuitive, scalable, and powerful, enabling users to use various models and libraries without the need to learn complex app frameworks. With a focus on AI tasks like RAG, fine-tuning, alignment, and training, Hal9 simplifies the development process by skipping engineering tasks like frontend development, backend integration, deployment, and operations.

browser-use
Browser Use is a tool designed to make websites accessible for AI agents. It provides an easy way to connect AI agents with the browser, enabling users to perform tasks such as extracting vision and HTML elements, managing multiple tabs, and executing custom actions. The tool supports various language models and allows users to parallelize multiple agents for efficient processing. With features like self-correction and the ability to register custom actions, Browser Use offers a versatile solution for interacting with web content using AI technology.

VectorCode
VectorCode is a code repository indexing tool that helps users write better prompts for coding LLMs by providing information about the code repository being worked on. It includes a neovim plugin and supports multiple embedding engines. The tool enhances completion results by providing project context and improves understanding of close-source or cutting edge projects.

gemini-srt-translator
Gemini SRT Translator is a tool that utilizes Google Generative AI to provide accurate and efficient translations for subtitle files. Users can customize translation settings, such as model name and batch size, and list available models from the Gemini API. The tool requires a free API key from Google AI Studio for setup and offers features like translating subtitles to a specified target language and resuming partial translations. Users can further customize translation settings with optional parameters like gemini_api_key2, output_file, start_line, model_name, batch_size, and more.

gitleaks
Gitleaks is a tool for detecting secrets like passwords, API keys, and tokens in git repos, files, and whatever else you wanna throw at it via stdin. It can be installed using Homebrew, Docker, or Go, and is available in binary form for many popular platforms and OS types. Gitleaks can be implemented as a pre-commit hook directly in your repo or as a GitHub action. It offers scanning modes for git repositories, directories, and stdin, and allows creating baselines for ignoring old findings. Gitleaks also provides configuration options for custom secret detection rules and supports features like decoding encoded text and generating reports in various formats.

exllamav2
ExLlamaV2 is an inference library for running local LLMs on modern consumer GPUs. It is a faster, better, and more versatile codebase than its predecessor, ExLlamaV1, with support for a new quant format called EXL2. EXL2 is based on the same optimization method as GPTQ and supports 2, 3, 4, 5, 6, and 8-bit quantization. It allows for mixing quantization levels within a model to achieve any average bitrate between 2 and 8 bits per weight. ExLlamaV2 can be installed from source, from a release with prebuilt extension, or from PyPI. It supports integration with TabbyAPI, ExUI, text-generation-webui, and lollms-webui. Key features of ExLlamaV2 include: - Faster and better kernels - Cleaner and more versatile codebase - Support for EXL2 quantization format - Integration with various web UIs and APIs - Community support on Discord

documentation
Vespa documentation is served using GitHub Project pages with Jekyll. To edit documentation, check out and work off the master branch in this repository. Documentation is written in HTML or Markdown. Use a single Jekyll template _layouts/default.html to add header, footer and layout. Install bundler, then $ bundle install $ bundle exec jekyll serve --incremental --drafts --trace to set up a local server at localhost:4000 to see the pages as they will look when served. If you get strange errors on bundle install try $ export PATH=“/usr/local/opt/[email protected]/bin:$PATH” $ export LDFLAGS=“-L/usr/local/opt/[email protected]/lib” $ export CPPFLAGS=“-I/usr/local/opt/[email protected]/include” $ export PKG_CONFIG_PATH=“/usr/local/opt/[email protected]/lib/pkgconfig” The output will highlight rendering/other problems when starting serving. Alternatively, use the docker image `jekyll/jekyll` to run the local server on Mac $ docker run -ti --rm --name doc \ --publish 4000:4000 -e JEKYLL_UID=$UID -v $(pwd):/srv/jekyll \ jekyll/jekyll jekyll serve or RHEL 8 $ podman run -it --rm --name doc -p 4000:4000 -e JEKYLL_ROOTLESS=true \ -v "$PWD":/srv/jekyll:Z docker.io/jekyll/jekyll jekyll serve The layout is written in denali.design, see _layouts/default.html for usage. Please do not add custom style sheets, as it is harder to maintain.

tensorrtllm_backend
The TensorRT-LLM Backend is a Triton backend designed to serve TensorRT-LLM models with Triton Inference Server. It supports features like inflight batching, paged attention, and more. Users can access the backend through pre-built Docker containers or build it using scripts provided in the repository. The backend can be used to create models for tasks like tokenizing, inferencing, de-tokenizing, ensemble modeling, and more. Users can interact with the backend using provided client scripts and query the server for metrics related to request handling, memory usage, KV cache blocks, and more. Testing for the backend can be done following the instructions in the 'ci/README.md' file.

runpod-worker-comfy
runpod-worker-comfy is a serverless API tool that allows users to run any ComfyUI workflow to generate an image. Users can provide input images as base64-encoded strings, and the generated image can be returned as a base64-encoded string or uploaded to AWS S3. The tool is built on Ubuntu + NVIDIA CUDA and provides features like built-in checkpoints and VAE models. Users can configure environment variables to upload images to AWS S3 and interact with the RunPod API to generate images. The tool also supports local testing and deployment to Docker hub using Github Actions.

PhoGPT
PhoGPT is an open-source 4B-parameter generative model series for Vietnamese, including the base pre-trained monolingual model PhoGPT-4B and its chat variant, PhoGPT-4B-Chat. PhoGPT-4B is pre-trained from scratch on a Vietnamese corpus of 102B tokens, with an 8192 context length and a vocabulary of 20K token types. PhoGPT-4B-Chat is fine-tuned on instructional prompts and conversations, demonstrating superior performance. Users can run the model with inference engines like vLLM and Text Generation Inference, and fine-tune it using llm-foundry. However, PhoGPT has limitations in reasoning, coding, and mathematics tasks, and may generate harmful or biased responses.

face-api
FaceAPI is an AI-powered tool for face detection, rotation tracking, face description, recognition, age, gender, and emotion prediction. It can be used in both browser and NodeJS environments using TensorFlow/JS. The tool provides live demos for processing images and webcam feeds, along with NodeJS examples for various tasks such as face similarity comparison and multiprocessing. FaceAPI offers different pre-built versions for client-side browser execution and server-side NodeJS execution, with or without TFJS pre-bundled. It is compatible with TFJS 2.0+ and TFJS 3.0+.
4 - OpenAI Gpts

Excuse Genius - Get Out Of Going To Work!
Generates believable, ethical excuses for not attending work.