The description of 'broken sound' is very interesting - in the marriage and dating market, the price difference between buying and selling for men and women is too large, and the liquidity is difficult to match. This is obviously the result of the contemporary Internet transforming the marriage market from a local RFQ market made by the network of acquaintances into a huge but extremely fragmented anonymous Order Book The surface liquidity has increased by 100 times, but the actual liquidity that can be traded has actually decreased First, let's talk about the current solutions and problems 1. OTC - This is the real matchmaker who understands the true bottom price of both sides, bears the cost of matching, and uses information advantages and reputation endorsement to compress the psychological price difference between the two parties, but it is indeed inefficient 2. Brushing volume - This is what Poyin refers to as "catching women and scumbags". It looks like there are many transactions, but it's not very useful. Anyone who has played third - or fourth tier CEX understands 3. CLOB DEX - This is a bit like Tinder/Tantan/Momo, but from a production perspective, I definitely can't recommend the most suitable person to you. If everyone successfully matches at once, how can I earn money? So the recommendation algorithms of platforms like Tinder, extreme cases that go viral on social media, and pricing the entire market with a very small sample (interaction data of the top 10% of men and women fed by the algorithm/popular emotional stories) are equivalent to the Oracle oracle price being contaminated What should we do then? Two methods have come to mind temporarily 1. Uniswap V3- Concentrated liquidity focuses on centralized liquidity and does not engage in large and insignificant general matching. Instead, it focuses on vertical segmented markets, such as high-end headhunting style marriage and love consultants and internal matching within communities, providing deep liquidity within a narrow range. In the past two years, I have often seen A8 and A9 dating agencies with this style 2. AI MM+RFQ - This requires the intervention of AI Market Maker (super matchmaker), your AI needs to know your historical preferences for a long time and then give you advice You keep saying you like type A, but the last three times you've really been comfortable with it have all been type B. ” Or: This girl doesn't fit your height preference, but based on your behavior over the past two years, I think you have a 73% chance of liking her Then the male and female AI agents enter a system's RFQ mode, quoting each other, which are hard indicators, which can be relaxed, and which conditions can be traded off 176cm+high income+average personality vs 183cm+average income+high emotional value Blah Blah The RFQ quotes from both sides have been matched, and we can contact or meet in person to achieve precise matching. This is more reliable than finding a suitable and reliable match for 500 people on Tinder Of course, this is all from the perspective of the overall system. From a personal perspective, having money and appearance, becoming the "whale" on the order book, is the best strategy. Finally, there is love - it should be the part that cannot be priced by the model even after the Agent Bid/Ask matchmaking between the two parties:)