All notable changes to DerList will be documented in this file.
The format is based on Keep a Changelog, and this project follows Semantic Versioning.
- AI-powered identification directly from product URLs
- Use the user's configured AI provider for product research
- Send the original product URL to the configured AI provider
- Require structured JSON responses from AI identification
- Identify exact product name
- Identify brand
- Identify manufacturer
- Identify model
- Identify category and subcategory
- Identify SKU
- Identify UPC
- Identify ASIN
- Identify MPN
- Identify product URL
- Identify store URL
- Generate product description
- Generate product notes
- Generate product tags
- Identify current pricing
- Identify MSRP
- Identify discounts
- Identify shipping information
- Identify sellers
- Identify product images
- Identify technical specifications
- Generate AI metadata
- Generate suggested product name
- Generate suggested category
- Generate AI confidence score
- Verify AI results against the original product URL
- Prevent incorrect product identification
- Prevent AI from inventing product information
- Use whichever AI provider is configured for the user
- Support all currently configured AI providers
- Provider-aware product research
- Provider fallback handling
- Provider timeout handling
- Better AI error reporting
- AI research history
- AI provider usage tracking
- Detect when no AI provider is configured
- Clearly notify the user that AI identification is unavailable
- Preserve the original product URL
- Preserve detected retailer information
- Preserve detected product identifiers
- Allow complete manual product entry
- Never present failed identification as successful
- Improved Amazon product identification
- Exact ASIN verification
- Improved retailer detection
- Product variant detection
- Better multi-retailer importing
- Product seller detection
- Improved image resolution
- Improved product metadata extraction
- Import history
- Re-identify imported products
- Live AI research status
- Show current research stage
- Show current product being researched
- Show provider currently being used
- Show search progress
- Show pricing progress
- Show image lookup progress
- Show specification lookup progress
- Show live field updates
- AI activity timeline
- Cancel running research
- Retry failed research
- Undo AI changes
- Advanced wishlist organization
- Folders
- Subfolders
- Custom labels
- Wishlist history
- Bulk editing
- Public wishlists
- Private wishlists
- Wishlist sharing
- Wishlist import/export
- Historical price charts
- Price history
- Price-drop alerts
- Lowest recorded price
- Retailer price comparisons
- Automatic price refresh
- Desired-price alerts
- Coupon tracking
- Promo code tracking
- Shipping-cost tracking
- Keepa image integration
- Multiple product images
- Image galleries
- Automatic primary image selection
- Image caching
- Image quality scoring
- Broken image detection
- Automatic image replacement
- Additional retailer image providers
- Product comparisons
- Product alternatives
- "Find cheaper" research
- "Find similar" research
- Deal discovery
- Compatibility research
- AI buying recommendations
- Automated shopping research
- Free PC Builder
- Component compatibility checking
- Power consumption estimation
- Build validation
- Build pricing
- PC Builder wishlist integration
- Browser extension
- Native mobile applications
- Desktop application
- Public collections
- Shared collections
- Gift registries
- Offline support
Pre-release
This release redesigns the product identification pipeline to use AI as the primary product identification source. The system now verifies product identity strictly, tracks data sources per-field, and provides clear fallback when AI is unavailable.
- AI is now the PRIMARY product identification source (previously a fallback)
- Configured AI provider researches the exact product from the user's URL
- Strict structured JSON response schema enforced on all AI output
- AI receives all available evidence: URL, ASIN, retailer, search results, structured metadata
- AI prompt explicitly prohibits inventing prices, images, UPCs, SKUs, or URLs
- AI must return
nullfor any field it cannot verify - AI confidence scored per-field (name, brand, model, category, price, image, etc.)
- New identity validator with 10 verification checks
- ASIN exact match enforcement: input ASIN must match identified product ASIN
- Critical conflict detection rejects misidentified products
- Title-not-URL check prevents URLs from being used as product names
- Title-not-retailer check rejects generic retailer names as product titles
- Title consistency cross-check between AI and search evidence
- Brand consistency verification across sources
- Price reasonableness validation
- Multiple evidence agreement scoring
- Search providers (SerpAPI, Brave) now gather supporting evidence for AI
- Search results no longer independently identify products
- Search-only results capped at 60% confidence (always needs review)
- Multi-query ASIN search strategy preserved for evidence gathering
- Evidence stored and passed to AI for verification
- Full import lifecycle states: idle, analyzing, identifying, verifying, needs_review, ready, added, failed, no_ai_configured, conflict
- Per-field source tracking (ai, url, search, keepa, structured-data, manual)
- Per-field confidence scores
- Import metadata: provider used, model, tokens, duration, timestamp
- Explicit
no_ai_configuredstatus when user has no AI provider - Clear UI message: "AI identification isn't configured"
- Product Editor opens for manual entry with verified context (URL, ASIN, retailer) preserved
- System never fabricates product information when AI is unavailable
- Dedicated failure states with clear user messaging
- Timeout handling (30s limit)
- Invalid JSON response rejection
- Graceful degradation: keeps verified info, opens Product Editor for manual completion
- SSRF protection blocks localhost, private IPs, IPv6 loopback, link-local, cloud metadata endpoints, unsafe ports
- Rejects encrypted Google thumbnails, favicons, placeholders, CAPTCHA images
- HTTP-verifies images before acceptance
- Trusted domain allowlist for Amazon CDN, Best Buy, Walmart, etc.
- Keepa image provider extracts real Amazon CDN image IDs from imagesCSV
- New SSE event types:
wishlist.identification.started,wishlist.identification.progress,wishlist.identification.completed,wishlist.identification.failed,wishlist.identification.conflict - Identification events include product data, confidence, provider, activity timeline
emitIdentificationEvent()helper for pipeline integrationbuildActivityTimeline()constructs UI-ready activity data
- Import status banner (no_ai_configured, ready, needs_review, conflict, failed states)
- Field source badges showing where each value came from (AI, URL, Search, Keepa, Manual)
- AI activity timeline panel showing step-by-step identification progress
- ASIN, UPC, MPN fields added
- Identify button now works with URL input (not just product name)
- 54 new tests covering the AI identification pipeline
- Amazon URL parsing and ASIN extraction (9 tests)
- Exact ASIN matching and wrong ASIN rejection
- AI response parsing with code-fence stripping
- Invalid JSON handling
- URL-as-title regression tests
- Price validation (negative prices, unreasonable values)
- Image validation (placeholder rejection, CDN acceptance)
- SSRF protection (localhost, private IPs, metadata endpoints, unsafe ports)
- Identifier format validation (ASIN, UPC)
- Prompt building and context assembly
- SSE event generation and activity timeline
- Critical regression test: B0GSS4SGZR must NOT be identified as Beats Solo 4
- Product URLs no longer used as product titles
- Mismatched ASINs no longer silently accepted
- Search results no longer override AI when identifiers conflict
- Price never fabricated (returns null when unverifiable)
- Image URLs never constructed from ASINs
- Retailer names no longer accepted as product brands
Pre-release
This release transforms DerList from a traditional wishlist into an intelligent shopping platform.
Products can now be researched automatically using AI, with information gathered from manufacturers, retailers, documentation, and multiple online sources.
- AI-powered product research from product URLs
- Automatic product name detection
- Brand detection
- Manufacturer detection
- Model detection
- Product description generation
- Product image discovery
- Technical specification discovery
- Category detection
- Tag generation
- Retailer detection
- Pricing discovery
- Product identifier detection
- Purchase link discovery
- Seller information
- AI-generated product metadata
- OpenRouter support
- OpenAI support
- Automatic model selection
- Manual model selection
- Provider switching
- Model overrides
- Fallback model support
- Improved AI request handling
- Improved AI error recovery
- Manufacturer research
- Retailer research
- Technical documentation research
- Product specification research
- Product image research
- Product identifier research
- Pricing research
- Category research
- Multi-source product profiles
- Automatic MSRP detection
- Original price support
- Sale price tracking
- Automatic savings calculation
- Automatic discount percentages
- Multiple seller pricing
- Shipping support
- Tax support
- Coupon support
- Promo code support
- Manual pricing lock
- Multiple sellers per product
- Seller store information
- Seller pricing
- Seller shipping
- Seller tax
- Seller coupons
- Seller promo codes
- Seller availability
- Preferred seller
- Seller verification
- Seller purchase URLs
- UPC
- ASIN
- MPN
- SKU
- Brand
- Manufacturer
- Product URLs
- Store URLs
- Categories
- Subcategories
- Custom labels
- Product specifications
- AI metadata
- Research progress dialog
- Live research stages
- Progress tracking
- Completion summaries
- Research cancellation
- Improved loading states
- Faster research feedback
- Reworked product research architecture
- Improved product validation
- Improved AI prompts
- Improved specification handling
- Improved image importing
- Improved retailer parsing
- Improved API architecture
- Improved logging
- Improved error reporting
- Improved product editor
- Product editor
- Wishlist layout
- Seller cards
- Pricing cards
- Dark mode
- Responsive layouts
- Mobile experience
- Accessibility
- Page performance
- API performance
- AI request efficiency
- Database queries
- Application caching
- AI enrichment failures
- Model selection bugs
- Provider switching issues
- Pricing calculation bugs
- Seller synchronization issues
- Image import failures
- Product form validation problems
- Wishlist editing issues
- Product parsing edge cases
- UI inconsistencies
- General stability issues
This release marks the first public alpha release of DerList.
It introduces the redesigned wishlist experience, administration panel, database backend, and foundation for future AI-powered organization, price tracking, and PC Builder features.
- Completely redesigned wishlist interface
- Category-based organization
- Grouped wishlist items
- Five-level priority system
- Top 3 Most Wanted section
- Rich product cards
- Product images
- Multi-retailer product support
- Price tracking
- Discount indicators
- Shopping Assistant foundation
- New administration dashboard
- Administrative controls
- Improved application management
- Prisma backend
- PostgreSQL database
- Responsive dark interface
- Improved backend architecture
- Redesigned wishlist experience
- Improved spacing
- Improved organization
- Improved application performance
- Removed unnecessary priority tooltips
- More consistent UI styling
- Wishlist loading
- Product organization
- Responsive layouts
- Application stability
- Overall UI consistency
- AI Organizer
- Automatic wishlist organization
- Product-name cleanup
- Duplicate detection
- Folder suggestions
- Category suggestions
- Free PC Builder
- Live Price Alerts
- Mobile applications
- Public wishlists
- Additional shopping features
| Version | Release Date | Status |
|---|---|---|
| Unreleased | — | In Development |
| 0.11.0 | July 2026 | Pre-release |
| 0.10.0 | July 2026 | First Public Alpha |