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Our scoring methodology

We cut through the noise with
4 independent layers

Expert reviews. Community sentiment. Price history. Aggregate scoring. No paid placements, no astroturfed reviews, no brand relationships.

The 4-Layer Evaluation Pipeline

01

Expert Reviews

We aggregate numeric scores from published expert reviews. Tests use standardized measurement equipment — frequency response, distortion, isolation — not gut feelings. Each source is normalized to a 0-100 scale based on its original scoring system.

Normalized sources include:
Crinacle / IEFAudioScienceReviewRtings.comTechPowerUpHardwareCanucksSwitch & ClickHead-Fi
02

Community Sentiment

Reddit threads and posts are scraped and analyzed for sentiment. Extreme opinions (very positive or very negative) signal consensus — products that everyone loves or everyone warns against. Astroturfed marketing campaigns are filtered out by cross-referencing post timing against review volume spikes.

Max weight: 50% of quality score
03

Price Analysis

Prices are tracked daily. We flag products where the "original" price was raised recently to make a discount look larger. If the 30-day average price is significantly below the listed original, the discount is genuine. If the original was inflated last week, we remove the deal badge.

Products with inflated "original" prices show no discount badge
04

Aggregate & Deal Scores

Quality Score = Expert reviews (60%) + Community sentiment (40%)
Deal Score = Value ratio + Price trajectory + Discount legitimacy
Aggregate Score = Quality (60%) + Deal Score (40%)
The Aggregate Formula
QualityScore = (ExpertReviews × 0.6) + (CommunitySentiment × 0.4)
DealScore = ValueRatio + PriceTrajectory + InflationPenalty
AggregateScore = (QualityScore × 0.6) + (DealScore × 0.4)

Score Reference Guide

What each score range means in practice

Outstanding75–100

Routinely recommended by experts. Genuine category leaders.

Recommended65–74

Solid products with verified expert approval. No major flaws.

Consider55–64

Mixed reviews or niche appeal. Check pros/cons carefully.

Mixed Reception40–54

Significant expert or community concerns. Usually discounted heavily for a reason.

Limited DataBelow 40

Insufficient expert coverage. May not have been reviewed by credible sources.

Common Questions

Q1How do you prevent fake discounts from being listed as deals?

We track prices daily. If a product's "original" price was raised in the last 30 days specifically to make a discount look larger, we flag or remove it. Products where the AliExpress "discount" is inflated beyond realistic value receive a lower deal score.

Q2Why do some products have no score?

Products without expert reviews or community discussion are listed without a score. We won't fabricate a score from insufficient data. If a product hasn't been reviewed by experts or discussed by real users, we show the price but no score.

Q3How is the deal score different from the quality score?

Quality score = expert + community evaluation of the product itself. Deal score = value + price trajectory. A $10 product with a 60 quality score and a genuine 30% discount gets a higher deal score than a $200 product at 5% off.

Q4Why are Reddit comments included but not weighted the same as expert reviews?

Reddit community sentiment is 40% of quality score because it captures real-world long-term ownership issues (reliability, customer support, firmware bugs) that expert reviews don't always surface. But it's weighted lower because expert reviewers use measurement equipment and standardized testing.

Q5Do you accept payment from brands to improve scores?

No. We have no paid placements, no affiliate arrangements with brands, and no sponsored reviews. Our income comes from AliExpress affiliate links, which are the same rate for all products regardless of score.

Q6How often are scores updated?

Scores are recalculated weekly. Prices are tracked daily. A product's score only changes when new expert reviews or significant community discussion surfaces — not when price fluctuates.

See it in action

Browse products with real scores, price history, and expert analysis.