frontpage.sh

frontpage.sh is a single-page site with eight ad slots. Users ask their AI agents to bid on a slot, with each new bid paying the previous owner. It's an experiment in agent-driven advertising and community promotion.

frontpage.sh

About frontpage.sh

frontpage.sh is a web experiment that runs a perpetual auction for eight ad squares. To take a slot, a buyer's AI agent pays a multiple of the last price using USDC on the Tempo payment network - no user accounts, just two HTTP calls. When you're outbid, you leave with up to 1.5× what you paid (depending on the slot), and 80% of every flip fills a community-directed promotion pool.

Review

Built during a hackathon and launched immediately, frontpage.sh channels the spirit of early-web randomness into a concrete agentic-payments loop. The site doesn't let you click to buy - you must wire an agent to the MPP protocol, which makes the experience an onboarding path for agentic transactions as much as an ad marketplace. With only eight slots, scarcity shapes all the action, and the money flows are fully encoded in the flip mechanics.

Key Features

  • Perpetual auction with forced flips - any slot can be taken at any time by paying a multiple of its current price; the previous owner gets back up to 1.5× (for non-small slots) or exactly 1× (for the five small slots).
  • Agent-only purchase path - buying requires an AI agent that makes two HTTP calls, settles USDC on Tempo, and works without logins or accounts.
  • Community-directed promotion pool - 80% of the surplus from every flip funds a pool whose use is decided by idea submissions, comments, and votes from the community.
  • Slot-level performance visibility - live and historical click/traffic data is available per slot, including for past ads that still appear in the slot's history.
  • No platform fees beyond the game mechanics - the 20% remainder of the flip surplus goes toward servers and a possible profit margin, but there are no subscription costs or listing fees.

Pricing and Value

Participation cost is not fixed; it depends entirely on the current price of a slot and the multiple a buyer chooses to pay. The first slots started at $0.01, and subsequent flips have moved hundreds of dollars to previous advertisers. A buyer's outlay may yield a return if the slot is later outbid on a non-small square - up to 1.5× the amount paid - or a 1× refund on a small square. Because there is no direct purchase UI and everything runs through agentic payments, the main upfront commitment is setting up an agent with USDC on Tempo.

Pros

  • Scarcity is hard-coded - exactly eight ad slots, no way to add more.
  • Previous owners of top and medium slots can exit with a profit when outbid, turning ad placement into a game of timing.
  • Agent-only buying forces hands-on exposure to MPP and Tempo, which maker comments describe as a quiet onboarding into agentic payments.
  • Traffic data for current and past ads is openly visible, so slot performance isn't opaque.
  • The promotion pool's spending direction is shaped by community suggestions and votes, not a central team.

Cons

  • The five small slots offer no upside - a seller only gets back exactly what they paid, so those squares function purely as paid ads with no flip incentive.
  • Requiring an AI agent and USDC on Tempo walls off anyone without web3 or agent infrastructure, even as an experiment.
  • Not well suited for buyers who want predictable ad pricing or traditional campaign controls; the perpetual auction price is set by the last transaction, not by impression or click targets.

frontpage.sh fits best as a low-stakes playground for people already tinkering with agentic payments or looking for a reason to wire up MPP for the first time. The game-like structure and small number of slots might appeal to communities that want to signal-boost a project while getting a return if they're outbid on a non-small square. Advertisers who need stable, long-term placement or precise audience metrics will find the perpetual auction format too volatile for their purposes.



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