- name
- amazon-hot-products
- description
- Scout Amazon trending products, hot searches, new releases, and rising categories to find blue ocean opportunities early. Triggers: hot products, hot search, hot new releases, hot movers, hot seasonal, hot compare, hot report, hot save
- allowed-tools
- Bash
- metadata
- openclaw
- homepage
- https://github.com/mguozhen/amazon-hot-products
Amazon Hot Products & Trending Scout
Track Amazon's real-time hot searches, new releases, and rising categories. Spot trending products before they become saturated — find blue ocean opportunities early.
Commands
hot products # scan trending products across categories
hot search [category] # analyze hot search terms in category
hot new releases [category] # find new releases with early traction
hot movers [category] # find products with rapid BSR improvement
hot seasonal # identify upcoming seasonal trends
hot compare [cat1] [cat2] # compare trend momentum between categories
hot report # generate weekly trend report
hot save [opportunity] # save a trend opportunity to memoryWhat Data to Provide
- Category — broad (Electronics) or specific (Wireless Earbuds)
- BSR data — paste BSR rankings if you have them
- Search term data — trending search terms from Seller Central
- Time period — last 7/30/90 days
- Market — US, UK, DE, JP, etc.
No API key needed. Provide data verbally or paste raw numbers.
Trend Identification Framework
Signal 1: Search Volume Surge
- Search term appears in Amazon's "Hot New Keywords" (from Seller Central Brand Analytics)
- Week-over-week search volume growth >20%
- Low current competition (fewer than 1,000 results for exact match)
Signal 2: BSR Velocity
| BSR Movement | Signal Strength |
|---|---|
| BSR improved >50% in 30 days | 🔥 Strong |
| BSR improved 20–50% in 30 days | ✅ Moderate |
| BSR stable | ⚪ Neutral |
| BSR declining | ❌ Avoid |
Signal 3: Review Accumulation Rate
- New products getting 50+ reviews in first 60 days = high demand signal
- Multiple competitors launching simultaneously = category heating up
Signal 4: Seasonal Calendar
| Month | Trending Categories |
|---|---|
| Jan–Feb | Fitness, Organization, New Year |
| Mar–Apr | Outdoor, Garden, Spring Cleaning |
| May–Jun | Graduation, Father's Day, Summer |
| Jul–Aug | Back to School, Pool/Beach |
| Sep–Oct | Halloween, Fall Home |
| Nov–Dec | Holiday Gifts, Holiday Decor |
Blue Ocean Score (1–10)
Score each trending product opportunity:
- Demand (1–3): Search volume trend direction
- Competition (1–3): # of sellers, review counts, listing quality
- Margin (1–2): Estimated price point vs. likely COGS
- Differentiation (1–2): Can you improve on existing products?
Score 7+ = Enter aggressively Score 5–6 = Enter cautiously with differentiation Score <5 = Skip or monitor
Output Format
- Trending Opportunities — ranked list with Blue Ocean Score
- Category Heat Map — which categories are rising vs. cooling
- Early Entry Windows — products with <200 reviews but rising BSR
- Avoid List — saturated trends (too late to enter profitably)
- 30-Day Watch List — opportunities to monitor for next scan
Rules
- Always check review count before calling a trend "early" — >500 reviews = not early
- Flag categories with known high return rates (electronics, clothing)
- Distinguish between fad (short spike) and trend (sustained growth)
- Note when seasonal peaks are approaching — timing matters
- Always pair trend data with estimated margin — demand means nothing if margins are thin