Launchdog is a weekly product launch board, a Product Hunt alternative where you launch from your AI coding agent over MCP and people vote.Connect Claude Code, Codex, Cursor or ChatGPT to Launchdog's MCP server and your agent drafts the listing from your site, adds the logo and screenshots, and books a launch week. Each week holds 50 launches, ranked only by votes from people.Launch free by adding a small badge to your site, or pay to launch sooner. Every launch gets a permanent dofollow link to your site.

WebAgentScan: Optimize Your Site for AI Agents & Security WebAgentScan is a cutting-edge SaaS platform designed to evaluate and optimize websites for the era of AI agents. It provides a comprehensive score out of 100, assessing a site's readiness for AI indexing, MCP server security, and Domain Rating, ensuring businesses are discoverable by AI assistants like ChatGPT, Claude, and Google AI. Target Audience This tool is ideal for website owners, digital marketers, SEO specialists, and developers who want to enhance their site's visibility and security in the evolving AI-driven web landscape. Key Features Scores any domain out of 100 across seven critical graded areas. Generates an actionable fix list, prioritized by impact. Evaluates AI discovery files (llms.txt, agents.txt, agent cards, .well-known paths). Assesses machine content readability (Markdown negotiation, structured data, no-JavaScript survival). Monitors agent access controls and detects soft 404s. Grades MCP server quality, including JSON-RPC and advertised tools. Analyzes agent security posture, exposed files, and prompt injection surface. Integrates Domain Rating (DR), referring domains, and backlinks from licensed APIs. Use Cases Businesses can leverage WebAgentScan to ensure their content is accurately indexed and quoted by AI assistants, gaining a competitive advantage in AI-powered search results. It helps prevent sites from being overlooked due to poor machine readability, directing AI traffic and potential leads to their offerings instead of competitors'. For developers and IT professionals, the platform identifies critical MCP server security vulnerabilities and exposed files, allowing for proactive measures against potential prompt injection attacks and unauthorized bot access. This ensures a robust and secure digital infrastructure. SEO strategists can utilize the detailed scoring and fix lists to optimize websites for AI agent readiness, complementing traditional SEO efforts. By improving structured data, content negotiation, and discovery files, they can boost click-through rates from AI-generated summaries and recommendations, driving higher-quality traffic. Pricing Information WebAgentScan operates on a paid subscription model with plans starting from $9 per month. There is no free tier or trial available. Plans include varying allowances for scans and Domain Rating lookups, with usage beyond these allowances billed at a published per-lookup rate. Payment is processed directly on the scanner platform, ensuring card details do not touch the main website. User Experience and Support The platform is designed for straightforward use: users simply provide a domain to receive a comprehensive score and fix list. While specific details on documentation or direct support channels for the SaaS are not explicitly provided, the clear output and actionable recommendations aim to guide users effectively. Technical Details WebAgentScan leverages advanced scanning technologies to assess various aspects of a website, including the presence and quality of AI discovery files, structured data implementation, and server security configurations. It specifically checks for JSON-RPC compliance in MCP servers and integrates with licensed APIs for accurate Domain Rating metrics. Pros and Cons Pros: Comprehensive AI readiness and security scoring. Actionable, prioritized fix list for improvements. Detailed insights across seven critical areas. Includes valuable Domain Rating metrics. Helps secure sites against AI-specific vulnerabilities. Cons: No free tier or trial for evaluation. Subscription plans have capped seats and scan allowances. Additional costs for usage exceeding plan allowances. Requires active management to implement recommended fixes. Conclusion WebAgentScan is an essential tool for any business aiming to thrive in the AI-driven digital landscape. By providing deep insights into AI agent readiness, security, and domain authority, it empowers users to optimize their online presence for future success. Explore WebAgentScan today to ensure your website is BuiltToWinWeb in the age of AI.

Lizard (lizard.build) runs AI agents in fast, low-cost cloud sandboxes and ships what they build.Each sandbox is a Firecracker microVM with its own kernel. Agents run AI-generated or untrusted code there, not on your machine. They get a shell, files, HTTPS URLs for open ports, and a built-in desktop and browser to open and test apps.What you get:Sandboxes that boot in 228 ms median, the fastest in our 300-run test against E2B (264 ms), Daytona (819 ms) and Modal (929 ms)Persistent Volumes that keep files after a sandbox stopsReady templates: base for shell tasks, codex for coding agents, interpreter for PythonUS East and EU West regionsLogs, CPU and memory metrics for every sandboxLizard SDK for TypeScript and Python, Lizard CLI, Lizard MCP and Lizard Skill for coding agentsDeploy the apps your agents build, with Managed Postgres, Managed Redis and S3-compatible storage, and no CI/CD to managePricing: Small (2 vCPU, 4 GB RAM) $0.0162/hour, Medium (4 vCPU, 8 GB RAM) $0.0324/hour, Large (8 vCPU, 16 GB RAM) $0.0648/hour. Billed per second while the sandbox runs. 2 TB of sandbox egress per account every 30 days is included. Lizard Pro costs $19/month and includes $19 of usage; past that, pay as you go. Start with a 7-day trial that includes $5 of usage. A card is required, and nothing is charged during the trial. Pro runs up to 100 sandboxes at once; Enterprise sets custom limits.