Explore AI Tools & Apps
Browse AI tools for coding, writing, image generation, video, and more. Discover what each product does, explore its features, and find options for the work you want to get done.

Clarm - AI DevRel Engineer
Clarm · Coding · MarketingClarm is an AI coworker platform that helps operations teams turn the work they still do by hand into agents that run inside clear rails. It's built for governed, repeatable jobs. Built for complex, multi-system companies, Clarm Atlas lets IT and compliance approve reusable building blocks once, then lets non-technical operators assemble them into coworkers for order intake, client review, document control, and other recurring jobs. These are AI agents for operations. Not chat toys. Every answer carries a source receipt. Every action leaves an audit trail.

Tinker
Thinking Machines Lab · Coding · OtherTinker is a training API from Thinking Machines Lab that fine-tunes language models through LoRA, a method that trains a small add-on adapter instead of rewriting every base weight. You write plain Python to define loss functions, training loops, and data pipelines, and Tinker runs the distributed GPU work behind the scenes. It suits researchers and developers who want control over algorithms and data without managing clusters, and it bills by token usage rather than a flat subscription.

Verdent Deck
Verdent AI · CodingVerdent Deck is a macOS desktop platform for developers who want to run several AI coding agents at once instead of babysitting a single chat window. It splits a large feature request into sub-tasks, hands them to agents that plan and check their own work, and keeps multiple projects moving in parallel. A companion VS Code plugin covers the case where you'd rather stay inside your editor.

Pigeon
Pranith · Coding · MarketingPigeon is a lightweight Chrome extension that surfaces real Reddit discussions about whatever page you're reading. Click the Pigeon icon on a product page, an article, or a service listing, and it pulls up relevant Reddit threads, highlights the most useful comments, and answers questions you'd otherwise have to dig through search results to find. It's a Reddit insights tool built for people who want real user opinions before they spend money or time on something. What do actual owners think? Pigeon answers that in a click.

Brave Private Web Browser, VPN
Brave Software · CodingBrave Private Web Browser, VPN is a Chromium-based browser that blocks ads and trackers before they load, so pages open faster and you share less data. It ships with a built-in VPN and firewall, the Leo AI assistant, and an optional rewards system, and it runs on Windows, macOS, Linux, Android, and iOS. The core browser is free. The VPN is a paid add-on at $9.99 per month or $99.99 per year. No account is required to start browsing.

Databuddy Analytics
Databuddy · Coding · MarketingDatabuddy Analytics is a privacy-first web analytics platform built for developers who want useful traffic data without cookies, fingerprinting, or a heavy client bundle. It puts page views, error tracking, Core Web Vitals, feature flags, short links, and uptime monitoring behind a single lightweight script and a typed API. Teams that care about GDPR compliance and data ownership get a dashboard they can actually query, plus an AI assistant called Databunny for plain-English questions.

SwiftyMenu
Lex Tang · Coding · OtherSwiftyMenu is a free macOS Finder extension that drops the tools, scripts, and terminal commands you use every day into the Finder right-click menu. Instead of hunting through apps, you right-click a file or folder and open it with a specific app, run a shell script, fire off an AppleScript, or launch a terminal session with the selected paths already passed in. For a developer workflow macOS users actually want, that's the whole point. Fewer menus. Less retyping. It's built for people who live inside Finder, mostly developers, and it stays out of the way when you don't need it.
Overcut
Overcut · CodingOvercut is an AI agent orchestration platform that puts autonomous agents to work inside your software delivery pipeline. It connects to the tools your team already uses, like GitHub, GitLab, Jira, Azure DevOps, and Slack, then runs event-driven agent workflows for code review, ticket triage, release notes, and more. Every run is permissioned, sandboxed, and logged. It's built for engineering teams that want automation without handing over control. Think of it as AI code review automation plus a lot more.

Multiplayer
Multiplayer · CodingMultiplayer is an open-source AI debugging tool that connects your coding agent to production so application bugs get fixed automatically. It works as a session recording platform, capturing full-stack session data and correlating it across frontend and backend before handing the whole picture to tools like Claude Code, Codex, or Copilot. Engineering teams use it to turn messy runtime errors into a few merge-ready pull requests instead of a flood of noisy ones.

Lovable
Lovable · CodingLovable is an AI app builder that turns a plain-English description into a working full-stack web app. It doubles as an AI website builder for simpler projects. You type what you want in a chat interface, and it generates the frontend, backend, database, and authentication, all backed by code you can edit or sync to Git. It suits founders, product teams, and beginners who want a working prototype fast without wiring up a stack by hand.
opencode
Anomaly · Codingopencode is an open source AI coding agent that runs in your terminal, IDE, or desktop app and helps you write, explain, and refactor code. It doubles as a terminal coding assistant and an AI pair programmer, connecting to more than 75 LLM providers, including Claude, GPT, and Gemini. Bring your own API key or use the tested models from OpenCode Zen. Because it processes requests locally and doesn't store your code, it fits teams that care about privacy.

Nexa SDK
Nexa AI · CodingNexa SDK is an open-source on-device AI inference framework from Nexa AI that runs text, image, and audio models straight on your hardware instead of the cloud. It supports CPU, GPU, and NPU backends across Windows, macOS, Linux, Android, and iOS, and ships an OpenAI-compatible API server so existing apps can point at it with little code change. Think of it as a local AI framework. Developers pick it when they need local AI inference that stays fast, works offline, and keeps user data on the device.






