Curation markets are crypto-economic mechanisms in which a community buys, holds, and stakes tokens attached to a shared topic — a list, a set of recommendations, a registry of projects — so that token prices and staking patterns serve as a continuously updated, financially backed signal of what deserves attention. Because influencing the signal requires putting capital at risk, curation markets give participants skin in the game: curators who back valuable entries share in the value created around the topic, while those who back poor ones stand to lose their stake.

The model was introduced by Simon de la Rouviere in 2017, and related designs from the same period include curved token bonding and token-curated registries. It also attracted early criticism — notably from de la Rouviere himself — for incentive failures that can reward virality over quality.

Continuous token models

The founding proposal, published in May 2017, defined a curation market as a model that allows groups to more effectively coordinate and earn from value they co-create around shared goals. Rather than selling a fixed supply through an initial coin offering, the market mints its token continuously: anyone can buy new tokens at a price that grows more expensive as more tokens are in circulation, with payments accumulating in a communal deposit. Holders then bond their tokens to curators per sub-topic, who curate information with backing proportional to the tokens staked behind them, and any holder can exit by burning tokens to withdraw a proportional share of the deposit. The proposal shipped with alpha smart-contract code for Ethereum.

De la Rouviere elaborated the pricing side later that year as curved token bonding: the buy price is hardcoded according to an algorithmic curve of the current supply, the reserve remains locked in the smart contract rather than held by any party, and holders sell back into the communal pool along a sell curve. This gives the token continuous liquidity without an ICO, and because tokens are cheaper when supply is low, early buyers receive more tokens for the same price — a built-in reward for early, correct signalers. The effect is to make curation liquid: the token's market price functions as a standing, tradable valuation of the topic itself. Projects adopting bonding curves for curation and coordination at the time included Meme Factory, Ocean Protocol, 1Hive, Zap Store, and OSCoin.

Token-curated registries

A closely related design is the token-curated registry (TCR), specified by Mike Goldin in Token-Curated Registries 1.0 as a scheme for producing curated lists. A candidate seeking listing stakes a minimum deposit denominated in the registry's intrinsic token; any token holder may challenge the application by matching that deposit; and a token-weighted, commit-reveal vote among holders decides the outcome. The loser's forfeited deposit is split, with a fixed dispensation percentage paid to the winning party and the remainder distributed to voters on the majority side. Goldin's incentive argument is that while token holders have a tactical incentive to reject every candidate and collect forfeited deposits, they hold a stronger strategic interest in a registry that is valuable and non-empty, because the token's worth depends on the quality of the list it curates.

The desire-paths metaphor

In a 2018 essay, Desire Paths & Markets for Recommendation, de la Rouviere borrowed the landscape notion of desire paths — the worn grass trails that emerge from repeated walking, as against officially paved pathways — as an analogy for crypto-economic protocol design. In his formulation, “the rules become desire paths: we follow them because others paved the way”: communities entrench in existing systems through familiarity rather than because those systems are optimal. The essay also stresses how many interdependent parameters these designs involve — supply, collateral, pricing functions, and, in token-curated registries, “even more knobs to consider” — which makes outcomes hard to predict once the rules are immutably encoded on-chain.

Incentive problems and markets for recommendation

The same essay warns that naive curation markets carry perverse incentives: applied directly, they can promote viral information without substance over quality information, an effect de la Rouviere compares to Bitcoin's unintended energy-consumption incentives. His playlist example is illustrative: “Applying a curation market directly to a playlist might lead to the most viral playlist, not the most nuanced playlist.”

The proposed mitigation is to reframe curation markets as markets for recommendation: rather than treating the market's output as the sole source of truth, it serves as a recommendation layer with human oversight — in the playlist case, the market produces recommendations for the playlist owner to choose from and add. De la Rouviere acknowledges the trade-off that “having human (or other) stop-gaps does mean that social scalability is hampered somewhat,” but argues that accepting such “meatspace interference” lets designers learn from live markets and “start with curation markets much sooner.” He frames this graduated, human-in-the-loop approach as a way to experiment with token-bonded signaling while reducing the risk of system-wide failure from mis-designed immutable incentives.

Relevance to Caper

A launchpad is itself an attention-allocation problem: many projects compete for a limited pool of capital and community focus. Caper, a DAO launchpad on the Radix network, applies the core logic of curation markets to raising funds: backers put capital at risk in a project's token and receive governance rights along with guaranteed sellback liquidity — mechanics directly analogous to the buy and sell sides of a bonding curve. A project token's price thus operates as a liquid, standing signal of how much support the community believes that project deserves, and backers can exit if that belief changes. The incentive caveats above apply equally: pure price signals can reward visibility over substance, which is one argument for pairing market signals with the governance rights backers hold rather than treating the market as the sole arbiter of merit.

References

1. Simon de la Rouviere (2017). Introducing Curation Markets: Trade Popularity of Memes & Information (with code)!. Medium.
2. Simon de la Rouviere (2017). Tokens 2.0: Curved Token Bonding in Curation Markets. Medium.
3. Mike Goldin (2017). Token-Curated Registries 1.0. Medium.
4. Simon de la Rouviere (2018). Desire Paths & Markets for Recommendation. Medium.