LaunchSmart
The Problem It Solves: Before software teams launch new features or products, they often struggle to manually verify that the final, developed UI perfectly matches the original text-based product specifications and requi
Core trick
Sends uploaded UI screenshots and PRD text to Gemini 2.5 Flash, which maps each requirement to visible evidence and drafts GitHub issues.
Description
The Problem It Solves: Before software teams launch new features or products, they often struggle to manually verify that the final, developed UI perfectly matches the original text-based product specifications and requirements. This leads to missed features, broken user flows, and a frustrating QA process where critical blockers slip into production because human reviewers overlook subtle discrepancies between the PRD (Product Requirement Document) and the live app.
The Solution: LaunchGuard is an AI-powered visual QA and launch-readiness agent. It solves this problem by allowing teams to upload their original product specifications alongside screenshots of their developed UI. Using multi-modal AI (Vercel AI SDK + Google Gemini), it instantly cross-references the visible interface against the written requirements. It automatically identifies missing features, layout mismatches, and broken flows, and generates a structured "Launch Readiness Report" complete with a severity score, evidence mapping, and instantly exportable GitHub Issue drafts so developers can fix the blockers before shipping.
README excerpt
# 🚀 LaunchSmart **LaunchSmart** is a full-stack, AI-powered pre-launch QA platform built on Next.js and Supabase. It provides engineering and product teams with a single command center to definitively know whether their product is ready to ship. By leveraging the multi-modal capabilities of Gemini 2.5 Flash, LaunchSmart acts as a senior release engineer by statically analyzing code diffs, verifying visual UI implementation against specs, identifying required fixes, and directly drafting highly structured bug tickets to Jira or GitHub. --- ## ✨ Core Features ### 👁️ AI Vision QA Pipeline Describe what you're shipping: type it out, paste it, upload a file, or link a Jira ticket. Then show us the build: upload UI screenshots, drop in a GitHub PR link, or both. The pipeline: 1. **Extracts** expected behaviors from the product spec text. 2. **Runs** multimodal vision analysis on the actual UI screenshots. 3. **Compares** the two to find gaps, missing states, or incorrect flows. 4. **Outputs** up to 5 structured issues, each containing severity, root cause, recommended fix, and confidence level. 5. **Computes** a strict, deterministic `0-100` launch score (No AI inflation: -25 per critical, -10 per high, -4 per medium issue). Buckets the release into `Ready`, `Launch with Caution`, or `Block Release`. ### 💻 Autonomous Agentic PR Checker (Powered by MCP) Paste a GitHub PR URL and optionally link a Jira ticket. LaunchSmart unleashes Gemini as an autonomous agent: 1. Built-in *