Niche Collector — Collection Tracker + Price Intelligence

说明与用途

Niche Collector 使用 Sanity 和 Next.js 跟踪收藏品价值，利用 GROQ 计算投资组合指标，并过滤异常列表。

问题

Hobbyists need a way to track the value of niche collectibles (Hot Wheels, Gunpla, keyboards) and compare purchase prices to current market values, while filtering out outlier listings that distort valuations.

结果

The Niche Collector app demonstrates how structured content and GROQ enable accurate, outlier‑aware portfolio tracking for niche collectibles, outperforming keyword search and generic CMS solutions.

工作流

• 1. Define structured schemas for hobbyCategory, collectibleItem, collection, priceHistory, and wishlist in Sanity.
• 2. Embed Sanity Studio in Next.js using NextStudio at /studio with basePath and CORS configured.
• 3. Populate the dataset with seed items and price history records, marking outliers with isOutlier=true.
• 4. Write GROQ queries to compute portfolio totals, item gains, and filtered price histories.
• 5. Render portfolio stats on /collection using server‑side data fetching.
• 6. Provide Vision queries for debugging and data inspection.
• 7. Deploy to Vercel with vercel.json outputDirectory set to .next.
• 8. Add SEO assets (opengraph-image, sitemap, robots, JSON‑LD).

证据

Portfolio tracker for niche hobbies (Hot Wheels, Gunpla, Mechanical Keyboards) that proves why structured content beats keyword search.

来源

The trick: a scam Rp 5,000,000 listing is flagged isOutlier=true and excluded from the median — so your portfolio stays honest.

来源

Try answering “total market vs total purchase for owned grails” with full‑text search. You can’t. You need math::sum(*[_type=="collectibleItem" && status=="owned"].currentValue) and a filtered priceHistory join on item._ref.

来源