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THE ARCHIVE

AI social media copilot for teams and agents

the AI in your texts that gets stuff done

Context-aware Mac keypad, w/ Claude + community extensions

Control your robots from anywhere in the world

Take your presentation skills to the next level

Generate more accurate investment dashboards and reports

A smart LLM proxy that shows where you're overpaying

Voice AI copilot for coworking & coliving operators

Local AI workspace to build and work with your computer

Chat with your business data inside Claude, ChatGPT and more

Keep your Mac awake

Your AI Teammate now responds and executes during your calls

HTTP(s) proxy debugger with custom viewer

Local natural language search across all your files

AI autocomplete for every app on your Mac

Advertise together on Meta Ads and pay 3x less

Real API data in your mockups made as easy as lorem ipsum.

Never miss a celestial event, anywhere on Earth

Run a research agent with cited answers in a single API call

Your AI-powered bookmark manager

Brew your productivity, one Pomodoro at a time

Learn your next language by copying native speakers

Make your website feel alive with realtime visitor presence

Batch-recolor 500+ sprites in seconds

In-browser toolkit for makers, and everyday utilities

Rebuilding Music and Digital Economy

Fully local, natural language search over terabytes of media

The world’s smallest smart ring, now even better

Platform for every agent your team builds

Zero servers. Total privacy. Your new favorite toolbox.

Fix broken AI JSON and 6 more JSON tools, all in-browser

Turn creative files into beautiful client delivery pages.

Custom testimonial walls that match your brand and convert

Repo guardrails for reliable AI coding agents

Create beautiful product demos with smooth zoom effects.

The programmable browser with trusted interactions

Day Skipper theory practice, one round at a time

Privacy-first Google Analytics alternative for modern web

Track everything, in one app

Wandesk is an AI desktop environment where users can create the software applications they need simply by describing them in natural language. Its main purpose is to provide a persistent, local workspace where AI-generated applications have shape and stay, moving beyond the limitations of conversational AI interfaces for tasks that require structure and continuity. Key features include the ability to build apps through natural language description, support for plugging in various AI models (Claude Code, Codex, DeepSeek, OpenAI, Kimi, Qwen, or any OpenAI-compatible service), and shared context across all applications within the workspace. The AI maintains memory of user preferences and context that carries across every app, and all data, files, and memory are stored locally on the user's machine. The platform requires no signup or account creation and is available as a free, open-source product. The platform operates with an iterative approach to app creation: users describe their needs, the AI makes reasonable assumptions to build a first version, and then users can refine the app through chat-based corrections and adjustments. Every generated app has a clear, layered structure with UI, logic, and data components, plus an APP.md file that the AI reads before making changes to maintain scoped edits rather than complete rewrites. Applications are real, editable files that users can modify manually or have the AI adjust specific parts. Benefits include the ability to prototype useful local tools quickly without starting full development projects, complete data privacy since everything remains on the user's device, and no cloud lock-in or subscription requirements. Use cases mentioned include creating calorie trackers, reading lists, invoice generators, bill splitters, productivity trackers that reflect tasks across different categories, and fitness trackers that can share context with other applications. The product targets both developers who want to prototype throwaway tools without spinning up full projects and non-technical users who need functional applications without touching code or terminals. It's built with technologies including Tauri and Figma, runs on macOS and Windows platforms, and can integrate with MCP (Model Context Protocol) when needing to reach external services. The workspace stores data in per-app SQLite databases and memory in a shared memories table within the local application support folder.

AI auto-zoom screen recorder for Chrome. No editing.

Rate any company's interview process

Find the sunniest places around the world

Show what a CV can't. ⭐

Lock your apps until you earn the time.

Build Discipline - Get Direction - Attain Consistency.

Build Fullstack Web Apps using AI

AI that creates product demos for your SAAS

Wingbits AI is a platform that enables users to create AI agents for real-time monitoring of aircraft activity and receive alerts based on specific criteria. It is built on top of a proprietary global network of over 5,600 antennas across 120 countries, which generates terabytes of data daily from ADS-B signals. The main purpose is to allow users to extract insights from aviation data without needing a data science team or complex infrastructure. Key features include the ability to ask questions in plain English about current flights, such as "where is Air Force One right now?" or "Which private jets visited Davos last weekend?". Users can create agents that monitor for specific events like military aircraft in a region, private or government jets, GPS-jamming spikes, or tracking friends and family. These agents can send alerts to destinations like Slack, email, Telegram, or Teams the moment something relevant happens. The platform also provides scheduled reports or analysis on topics like competitor routes and can compare GPS jamming events across regions. The platform works by processing clean, deduplicated data from its real-time stream that ingests approximately 3TB of data daily with under 1-second latency. Agents query this cleaned data and can be configured with evaluation cadence and time windows. They have access to their own alert history to decide if enough has changed to warrant a new alert, helping to reduce alert fatigue. The system is designed to provide fewer, higher-confidence alerts by integrating context from other data sources like NOTAMs and weather alerts to interpret deviations. Benefits include gaining geopolitical or operational insights from aviation data without requiring coding, data processing, or managing infrastructure. Use cases are for reporters tracking unusual military activity, prediction markets, competitive analysts monitoring competitor routes, route planners, and aviation enthusiasts. It helps users monitor pattern shifts like unusual route behavior, repeated delays, or sudden volume changes that suggest a change from a normal baseline. The target users are reporters, prediction markets, competitive analysts, route planners, and aviation enthusiasts. The platform is built with technologies indicated by the "Built with" section including Framer, Linear, and Claude by Anthropic. It offers a no-code experience and is accessible via a web platform. The underlying data network is transparent about coverage quality, which is denser in regions like the US and Europe and growing in Latin America, Asia, and the Middle East.

The Openstatus MCP Health Checker is a tool designed to test Model Context Protocol (MCP) servers by acting exactly like a real AI client, such as Claude Desktop or Cursor. It solves the issue where a standard 200 OK from an HTTP ping is useless if the JSON-RPC handshake fails, which would cause an AI agent to break. The tool performs a true protocol-level validation instead of a basic uptime check. Key features include executing the full spec-defined initialize, ping, and tools/list sequence for real handshakes. It provides deep visibility by allowing users to inspect exact JSON-RPC payloads, negotiated versions, and session IDs for zero-friction debugging. Additionally, it offers smart authentication by parsing RFC 9728 headers on 401 responses to surface exact token requirements when a server is locked down. The tool works by running the complete protocol-level validation, simulating how a real AI client connects. It goes beyond connectivity checks to test the actual tool call flow, addressing edge cases that cause reliability issues in MCP integrations. This approach ensures the server is compliant and functional for production agent systems. Benefits include ensuring AI agents can actually connect and use tools, not just that the server is alive. It helps developers debug MCP server issues by providing detailed insights into handshake failures and authentication requirements. The tool is particularly useful as MCP server quality varies, with many built against early spec drafts without standard compliance checks. The target users are developers building or integrating MCP servers for AI agents. It is open-source and part of the synthetic monitoring gear at OpenStatus. The tool is a free, zero-install solution for testing MCP endpoints to verify protocol compliance and reliability.