WEXTL

Build AI agents and automate workflows across your apps on WEXTL — with loops, human-in-the-loop controls, and systems that scale. Connectors first. Drop to JS when you need to.WEXTL gives more for better price. Most used features are available out of the box, and you can scale predictably.This is better choice rather than self-hosted versions of n8n or other tools - where you pay same price, but do not have backups, support and ongoing maintenance of the connectors.The team behind WEXTL has been in automation world for more than 6 years, and knows all pain point of alternative automation tools.

Launchdog.dev

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.

Novastart

Novastart is an infinite canvas whiteboard OS. Open Chrome, ChatGPT, Claude, Word, Excel and your files side by side on one infinite whiteboard, share canvases with your team, and let AI agents work alongside you with their own cursors and keyboards.

Dhamark

Dhamark is an AI-powered product context capture tool that turns screen feedback, bugs, feature ideas, and product discussions into build-ready tickets and specs. Capture a user journey with screen recording, screenshots, annotations, voice notes, and technical context such as console errors, network activity, page details, and interactions. Dhamark then converts that context into structured user stories, acceptance criteria, edge cases, priorities, story points, and frontend, backend, design, QA, and DevOps subtasks.Unlike traditional bug-reporting or screen-recording tools, Dhamark doesn’t stop at showing what happened—it helps teams decide what needs to be built next. Product managers, founders, designers, QA, and developers can capture context once and reuse it across Jira, Linear, Notion, or AI coding workflows.The result: fewer clarification calls, less manual documentation, faster handoffs, clearer requirements, and shorter cycles from feedback to implementation.