The problem with most ranking systems
Most product ranking systems — Product Hunt, G2, Capterra — are gated by reviews, upvotes, or editorial decisions. The ranking algorithm is a black box. You do not know why a product is #1 or #50. You just see the number.
This creates a trust problem: if the ranking is opaque, the rank itself is less valuable. A #1 badge on a review site means less when no one knows how the #1 was determined.
What we built
A pay-to-rank board where every number is public:
- Every product's bid is visible on the listing page
- Every rank change is tracked and shown
- The total volume paid into the board is public on the stats page
- The public API returns the entire board as JSON
There is no algorithm. Rank = cumulative bid. That is the entire formula.
Why transparency matters
When the ranking is transparent, the rank itself becomes a signal. A product at #1 is not there because of an algorithm — it is there because its founder paid to be there. That is a different kind of social proof: not popularity, but investment.
The economics
Bids are cumulative and non-refundable. Every payment stacks. This creates an interesting dynamic: the cost of maintaining a rank increases over time as others outbid you. The board is a living market, not a static list.
The tools are free
We built free tools for the board: a rank calculator, an embeddable widget, and a public API. These tools are free forever, whether or not you ever place a bid. The board runs in public, so the tooling runs in public too.