Type two product names, or paste links from Amazon, Flipkart, Myntra and Meesho. We score both across five weighted dimensions and tell you who should actually buy which.
Type "X vs Y" or drop two marketplace links. Tracking junk is stripped automatically.
Price, list price, discount depth, specs, warranty, seller, availability, ratings and real buyer quotes — scored across five dimensions.
A critic score, feature-by-feature winners, price history, pros and cons with numbers, and a plain answer to "which should I buy?"
Side-by-side evaluations built from live marketplace data
Generic comparison sites dump a spec table and let you guess. We weight the specs that actually matter for the category, then score both products on the same rubric — and publish the rubric on every page.
What you actually get for the money: spec density per dollar, price position inside the category band, and how deep the live discount runs.
Weighted score across the specs that move real-world speed — chip, graphics, memory, storage, display and battery, weighted the way the category is actually used.
Materials, ingress protection, durability claims, warranty length, and how completely the build specs are documented.
Bayesian-adjusted owner rating, the shape of the rating histogram, and lexicon sentiment of the real review snippets we scraped.
Seller reputation, stock reality, the delivery promise, returns window, review volume and how complete the listing is.
We pull real review quotes from the listings and hand them to the editorial engine, so the verdict cites what buyers actually reported — not marketing copy.
Traditional comparison sites compare raw numbers without real-world context. Our engine factors in discount depth, warranty disclosure, review-sample confidence, 90-day price history and category-specific priorities.
Compare any category — laptops, phones, audio, appliances, footwear, fashion, beauty, furniture and fitness gear. If it has a product page, it can be compared.
The model is handed every number it is allowed to cite and is forbidden from inventing specs. Scores and winners always come from the deterministic engine, never the model.
No pop-ups, no autoplay widgets, no dark patterns. Clean typography, a sticky mobile buy bar and sub-second response times for maximum clarity.
Every comparison page states its data sources, dimension weights, Bayesian prior and data-confidence level, so you can judge the verdict, not just read it.
Discount depth, position against the category price band, scarcity and 90-day price history are scored separately — a "70% off" inflated MRP never fools the model.
When the gap is inside the statistical noise, we say so. A forced winner is worse than no winner, and readers learn to trust the verdicts that are actually close.
Cross-marketplace comparisons are normalised so a fair fight is possible
Direct answers about search, scoring methodology and live telemetry