How we build honest home-theater data
Home Theater Builder helps you pick home-theater parts and see, in plain English, whether they actually work together. The picker is only as trustworthy as the data behind it, so this page explains exactly how that data is gathered, normalized, and checked — and where its limits are.
What this site is
It is a PCPartPicker-style builder for home theater systems: choose an AV receiver, speakers, a subwoofer, a TV or projector and a screen, and the builder tells you whether the combination is sound before you spend money on it. Alongside the builder are evergreen buying guides and a comparison tool. The hard part isn't the interface — it's making sure a “100 watts per channel” or “down to 20 Hz” on one product means the same thing as on another. That is what our normalization layer exists to guarantee.
Every value carries its context
The core principle is simple: never store a measured value without its measurement context. Two sources can publish the same field under completely different conditions — amplifier power at different distortion levels or with a different number of channels driven, frequency response at different tolerances, speaker sensitivity measured in-room versus anechoic, channel counts that mean powered channels on one sheet and processed channels on another. We treat value + contextas an atomic pair. When a value arrives without its context, we store the context as “unstated” rather than guessing or silently dropping it, and a validation stage enforces those companion fields instead of leaving them to chance.
Provenance and confidence, field by field
Provenance is tracked per field, not just per product, because sources disagree field by field. Every value we store carries where it came from, when it was extracted, and a confidence level derived from the source: manufacturer spec sheets and product pages rank highest, retailer and review-site spec tables next, and anything an automated extractor flagged as ambiguous is marked as inferred so it can never masquerade as a confirmed fact. When several sources agree, we keep the highest-confidence citation; when they don't, the value doesn't just get averaged away.
Three-state booleans: yes, no, and unknown
A feature is either present, absent, or simply not stated — three states, not two. Absence of evidence is not evidence of absence: a retailer that never mentions a phono input hasn't told you the unit lacks one. So an unstated feature is recorded as unknown (NULL), never quietly defaulted to “no.” That is why you'll sometimes see “unknown” where other sites confidently show an X. It is the honest answer, and it keeps the data from inventing facts.
Catching conflicts and variants
When two sources disagree about the same product beyond a set tolerance, a cross-source conflict detector routes the value to human review rather than picking a winner automatically. Some disagreements aren't errors at all: when the same model number genuinely ships with different internals by production lot or configuration — the panel-lottery TVs are the classic case — we flag it as a variant, blank the conflicting field, and note the variance instead of thrashing between values. The goal throughout is to fail loudly and visibly, never to smooth over a discrepancy.
The compatibility engine
Because the underlying values are normalized and context-aware, the builder can reason about them. It weighs a speaker's sensitivity and impedance against the receiver driving it, checks channel counts and connection and bandwidth requirements, and surfaces the pitfalls — a sub-4-ohm load on a receiver not rated for it, a missing height layout for Atmos, an HDMI bandwidth shortfall — in plain language, before you buy. It is decision support built on data you can trust, not a black box.
Where the data comes from
Specifications are drawn from manufacturer spec-sheet PDFs (preferred, because their footnotes carry the measurement conditions marketing pages omit), manufacturer product pages, and retailer and affiliate feeds. Prices and availability come from participating retailers through their official feeds and APIs, refreshed on a schedule and tied to each product's most recent fetch. Prices are indicative rather than a live checkout quote.
Honest limitations
We don't claim to be perfect. Coverage grows category by category and not every product carries every field yet. Prices lag the retailer by however long since the last fetch, so always confirm the final price and availability on the retailer's own page. A clean compatibility result rules out the common mechanical mistakes, but it can't judge how a system will sound or look in your room — treat it as confidence to dig deeper, not the last word. And where we genuinely don't know something, we'll tell you we don't know rather than fill the gap with a guess.