🎉 Share Your 2025 Year-End Summary & Win $10,000 Sharing Rewards!
Reflect on your year with Gate and share your report on Square for a chance to win $10,000!
👇 How to Join:
1️⃣ Click to check your Year-End Summary: https://www.gate.com/competition/your-year-in-review-2025
2️⃣ After viewing, share it on social media or Gate Square using the "Share" button
3️⃣ Invite friends to like, comment, and share. More interactions, higher chances of winning!
🎁 Generous Prizes:
1️⃣ Daily Lucky Winner: 1 winner per day gets $30 GT, a branded hoodie, and a Gate × Red Bull tumbler
2️⃣ Lucky Share Draw: 10
Looking at the recent financial allocations of the two leading DEXs, the numbers indeed reflect different strategic choices.
Take UNI as an example, with an annual operational budget of 15 million, of which 5 million goes to personnel costs, and the remaining 10 million is used for ecosystem development. In absolute terms, this investment scale is already significant, but the issue lies in the benchmarking.
Similarly deployed on the Ethereum network, OP's operational costs reach around 63 million, with an almost opposite allocation ratio—60 million invested in ecosystem incentives and infrastructure, and only 3 million allocated for personnel expenses. This stark contrast immediately reveals two completely different investment philosophies to the market.
UNI's allocation is more like "first ensure team stability, then develop the ecosystem," while OP has chosen an aggressive "all-in on the ecosystem" approach. This isn't about right or wrong, but about clear differences in decision-making tendencies. Holders observing this comparison naturally have questions: Why does one team allocate such a high proportion to human resources? Shouldn't the actions in ecosystem development be more aggressive?
The market's reaction is quite straightforward—when you see competitors making large-scale ecosystem incentives, and then compare their own investment pace, expectations are bound to fall short. This feeling isn't necessarily the result of rational analysis, but more based on intuitive numerical comparison.