App Update — Version 1.4.1 "Stability, Onboarding & Free Scans"
Stability, Onboarding & Free Scans
This release focuses on stability fixes, smoother onboarding, mobile UX improvements, and a meaningful pricing update based directly on community feedback. There were a couple of tricky edge cases in here, but things should now be far more reliable across scanning and uploads.
Released December 14, 2025
Merged in PR #161
🚀 Overview:
This release focuses on stability fixes, smoother onboarding, mobile UX improvements, and a meaningful pricing update based directly on community feedback. There were a couple of tricky edge cases in here, but things should now be far more reliable across scanning and uploads.
🆕 Features Released:
🎨 New Onboarding Flow
- New users now land on a clear "Get Started" screen after signup
- This guides users directly into upload or scan options
- Goal: reduce early-stage friction and make the first action obvious
📱 Mobile Collection UI Cleanup
- Removed the large hero scan section from the top of the mobile collection view
- This frees up space for your actual collection and management tools
- Overall result: cleaner UI and a more practical mobile experience
🆓 Non-Graded Scans Are Now Free
- All non-graded scans are now unlimited for new users
- Existing users will be included in a follow-up update later this week
- Huge thanks to @Chaos kicking this off and to everyone who raised this and contributed to the pricing + feature + user retention discussion — genuinely helpful feedback 🙏
🐞 Bug Fixes:
🔢 Issue Number Detection Fix - @SwampThingTom I think this one is squashed!
- Resolved a normalization issue in the Advanced Grading user flow
- This was causing issue numbers to occasionally fail detection
- Detection should now be fully reliable again
📸 Edge-Case Image Upload Failure (The "Fun" One 😅) - @BadAstronaut Eureka!
- Images are converted to base64 before AI analysis
- Base64 adds file size overhead, which caused some uploads to exceed request limits and fail silently
- Example: a 4MB image could become ~8MB after conversion
- Added final-step image compression before analysis to prevent failures
⚠️ Note:
There is a small tradeoff to monitor here — excessive compression could impact grading accuracy if image quality drops too much. I've tested this extensively and grading appears consistent, but it's something I'll be keeping a close eye on.
💬 Feedback Welcome
As always, we'd love your feedback. Join our Discord community to report bugs, suggest new features, or share ideas on how we can improve tagging, issue tracking, and collection tools. Everything we build continues to evolve based on how you use it.
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