One-tap in-app feedback tool for mobile teams. Collect screenshots, widget trees, and metadata instantly, with automatic layout & code fix suggestions — and push directly to GitHub Issues in one click.
No more messy spreadsheets, screenshots via Slack, or digging up device log files.
Freezes screens instantly with 1-tap capture. Drop up to 5 numbered pins with itemized notes to address multiple UI issues in one report without clutter. Original screenshots remain clean, and drafts are safely preserved on-device.
Gemini AI analyzes widget trees and visual cues to generate instant fixes. Ask follow-up questions to explore alternative architectures, then seamlessly sync your conclusions into refined Version 2/3 guides.
Export and update GitHub Issues with screenshots (toggle on/off), device specs, AI fix guides, and Agent Prompts. See issue badges (#42) right in your ticket list.
Protect in-app dev features with 4-digit passcodes. On the web dashboard, 3-tier roles (Owner, Developer, Tester) ensure external clients or QA testers have safe, read-only discussion access without the ability to modify tickets or deplete shared AI credits.
Pre-validates keys before user input to prevent surprises, with remote kill-switch and release auto-guard for full App Store safety.
GitHub Personal Access Tokens, Slack / Discord Webhook URLs, and BYOK Gemini API keys are encrypted with AES-256-GCM. Never exposed in plain text.
Instantly broadcast bug reports and user feedback directly to your team's Slack and Discord channels with rich cards and embeds. Built-in deep linking brings you straight to the active project and specific ticket with a single click.
Setting up SnappySnag in your Flutter project is as simple as it gets.
💡 Upon sign-up, your API key is generated immediately with zero initial setup required. (For user tracking, dev-team access, or release build guards, check the Documentation & README).
Run the app on your device. The on-screen button (or shaking the device) will open the visual feedback overlay instantly.
Inspect AI-generated Flutter fixes in your dashboard. With a single click, convert the report into a GitHub Issue complete with Cursor / Windsurf Agent Prompts. (An interactive quick tour automatically guides you through your first bug report 🎉)
Start free and upgrade as you scale.
For indie developers and hobbyists testing apps.
For commercial apps and software teams.
Need extra AI analyses without upgrading to Pro? Purchase one-time credit packs anytime. Available for both Free and Pro plans.
Common questions about integration, safety, security, and AI agent compatibility.
Unlike legacy tools focused on raw crash logs or freehand drawing stamps, SnappySnag provides precise multi-point pin annotations (1–5), Flutter widget tree traversal, and Gemini AI auto-fix prompts formatted directly for Cursor, Claude, and Copilot. It operates seamlessly alongside tools like Sentry and Firebase Crashlytics.
Yes, absolutely. In release builds, internal duplicate warnings and developer-facing dialogs are automatically suppressed. The floating trigger button is hidden by default. You can safely launch clean end-user feedback mode via SnappySnag.startFeedbackMode(context) from your settings or help menu.
We employ strict encryption and robust security architecture to ensure complete safety in production. All network traffic is encrypted via TLS 1.3. Integration secrets (Slack/Discord Webhooks, GitHub PAT, BYOK Gemini Keys) are encrypted at rest with AES-256-GCM. Strict Row Level Security (RLS) policies prevent unauthorized access, and the SDK automatically masks sensitive fields (passwords, credit cards) on-device before transmission.
Yes, you can start completely free without a credit card. Even if your free AI credits run out, screenshot capture, multi-pin dropping, feedback submission, GitHub Issue sync, and Slack/Discord alerts remain 100% free and unlimited. To continue AI code suggestions without upgrading, simply bring your own Gemini API key (BYOK).
Cursor, Windsurf, Claude (Artifacts/Projects), GitHub Copilot, and ChatGPT. Any modern LLM or AI coding agent that accepts Markdown prompts can utilize the structured repro guides, widget hierarchies, and pin coordinate data for precise fixes.