qarunbook

A test plan your team and your AI can work through

Developer ToolsArtificial IntelligenceProductivity

▲ 62 votes5 commentsLaunched Oct 4, 2026

Daily #28Weekly #203

qarunbook helps you write a clear test plan, work through it yourself, with your team or with your AI over MCP, and keep track of what needs fixing or checking again. A fixed issue waits for a retest before it counts as passed. Free plan, no card.

AI Analysis

📝 Summary

qarunbook is a collaborative test management tool that helps users write clear test plans, execute them individually, with teams, or with AI via MCP. It tracks issues, requires retesting of fixes before marking as passed, ensuring quality. Core features include plan creation, team/AI collaboration, progress tracking. USP: AI integration for test walkthroughs and strict retest enforcement. Solves pain points like disorganized QA, missed retests, poor accountability in bug fixing. Value proposition: Streamlines testing workflows for better software quality, with a free plan requiring no credit card.

📈 Market Timing

In 2025-2026, AI integration in dev tools is accelerating with maturing LLMs and rising demand for AI-augmented productivity. QA processes in agile environments need better human-AI collaboration, fitting qarunbook perfectly. Positive SaaS market and tech adoption trends make it favorable. Excellent Timing.

✅ Feasibility

Technically feasible using current AI APIs for MCP integration; moderate dev costs but potential ongoing LLM expenses. Low supply chain/compliance risks as pure software. Strong scalability as cloud SaaS. Overall High with good team execution. High

🎯 Target Market

Main segments: QA engineers, software developers, small-medium tech teams in software/SaaS companies, focused on US/Europe. TAM for test management ~$2B+, SAM for AI dev tools ~$400M. Pain points: inefficient test tracking and revalidation. Moderate-high willingness to pay for pro features after free entry.

⚔️ Competition

Medium. Direct competitors: TestRail (testrail.com), Qase (qase.io), Zephyr (getzephyr.com), Testmo (testmo.com), Mabl (mabl.com). Advantages: unique AI co-working via MCP, enforced retest logic, generous free plan. Disadvantages: likely fewer advanced analytics/integrations than veterans, newer with less brand recognition.

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