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I made a public ranking where #1 is whoever paid more than the last person

Built this in 3 hours yesterday night and it's starting to take off: https://outbid.lol

There’s no ads, no API, no revenue share. You rank by outbidding whoever's spot you want to take — $1 is enough, more if you want a harder seat to take. That’s the whole product.

We are already at $299 for the #1 right now, let's see where we can take this 🚀

on August 20, 2026
  1. 1

    What I like about this, and nobody's mentioned yet, is that it's honest about what it's ranking. Most trending or featured boards imply merit, quality, relevance, popularity, while actually being pay-to-play underneath, and that gap between claim and mechanism is what erodes trust in a ranking over time. Yours never pretends to measure anything except who paid more, so there's no gap to erode. I care about this because I spend a lot of time with Claude making sure Alisio never states a number it can't fully back, and the lesson generalizes past finance: a metric that's transparently shallow beats one dressed up as meaningful but isn't. The real risk to outbid.lol isn't dishonesty, it's boredom once the novelty of the dollar increment wears off and paying to outbid nobody in particular stops feeling like a game worth playing.

  2. 1

    Worth noting what actually happened here: a tiny scope, shipped in an evening, with a price attached from minute one. That's the step most people skip while they polish a landing page for weeks and still have nothing anyone can pay for. The lesson generalizes even if the mechanic doesn't — charge something small early and you learn in days what a survey never tells you. The open question is what keeps the ladder climbing once the novelty crowd has had its turn.

  3. 1

    Since you shipped this in three hours, I’d treat the next step as an instrumentation experiment rather than adding more ranking features. The key split is whether buyers want exposure or the contest itself: track the time each bidder stays in a position, clicks or visits generated while there, and whether a displaced bidder comes back to bid again. If people return after losing a spot, you’ve found a repeatable game loop; if they only buy once for a burst of visibility, it’s closer to a transparent ad auction. That distinction should determine whether you optimize for turnover or longer-lived placements. What signal are you using to decide which one is happening?

  4. 1

    This prices attention directly instead of guessing at ad rates, whoever pays $299 is telling you exactly what the top spot is worth to them today. The real test is whether people keep outbidding once the novelty wears off, or it settles into two players trading the same spot back and forth. I'd watch the price for #2 more closely than the #1 headline number, that tells you the actual floor of the market you built.

  5. 1

    The $299 move is a strong early signal. I’m curious whether people are paying because they want the top spot specifically, or because the public competition itself is what makes the product compelling.