About ValueIndex

A lean discovery engine for software that earns its keep.

Why this exists

Every major software marketplace and review site runs on the same fuel: vendor money. Rankings follow ad budgets, "best of" lists follow affiliate commissions, and the products that win are the ones that spend the most to be seen — a cost that lands, eventually, on your invoice. We call it the ad tax.

ValueIndex inverts the model. Products are admitted and ranked by a published four-principle manifesto — transparency, value density, privacy, and technical efficiency — scored against a public rubric. A tiny bootstrapped tool with no marketing budget can outrank a unicorn here, if it's simply better per dollar and per megabyte.

How we score

Each product gets 0–5 on each principle; the average is its Value Index. Today, verification is manual: a human works through the rubric — reading pricing pages, funding disclosures and financial filings, testing exports, checking resource footprints — and records evidence with each score. Automated benchmarking (cold-start time, memory, tracker scans) is on the roadmap and will replace the mechanical parts of the rubric.

How we make money (and how we don't)

Consistent with the manifesto, we will never take a commission on sales, sell placement, add affiliate links, or charge to be listed. Listing is free, forever, for everyone — the moment a directory takes money from the products it ranks, its rankings are for sale. Our only planned revenue:

Disclosure policy: if we host or maintain a listed product for customers, that listing says so. Scores are never affected by commercial relationships — the rubric and evidence are public precisely so you can check our work.

How we measure

The site is static HTML with no invasive tracking. We use privacy-respecting analytics: GoatCounter — open source, cookie-free, no personal data stored, and listed in this directory under website analytics. That's the whole measurement stack.

Who

ValueIndex is built and curated by Siva. It's early, small, and deliberately so — value density applies to teams too.

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