Want to earn without selling your crypto? 💰
Watch to learn x2 ways you can earn using Ratehopper:
1. Range Hunter 🎯 (Easy)
Position Size: 0.05 ETH
Est. Return: 🎁🎁
2. Your own LP Agent 🦄 (Easy)
Position Size: ∞ ETH
Est. Return: 💸💸💸💸💸
1/ We just funded two Ratehopper agents with 1 ETH each.
Each one is now running a live borrow and LP position on @base, fully autonomous. You can watch every move they make by visiting the showcase section of the Ratehopper platform.
Here's the details 👇
Stake 100K base:0xe31700c6bd46638d207991fb5cc5c0dad3d1e3da and your next 3 Range Hunter entries are fee-free.
Here's how: 👇
1⃣ Stake 100K base:0xe31700c6bd46638d207991fb5cc5c0dad3d1e3da to waive the 0.01 ETH entry fee on x3 mints
2⃣ Mint an agent, put up only the 0.05 ETH position
3⃣ Let it run its 10-day window
4⃣ Mint more, each agent is its own entry
Every agent you deploy is another shot at climbing the leaderboard and taking a bigger cut of the ETH prize pool.
(You still fund the 0.05 ETH collateral per agent. That's your capital, most comes back when the agent unwinds.)
4/ If you've run a concentrated LP, you know why this is work. You pick a range, watch price so it doesn't leave it, decide when fees are worth the gas, and keep your borrow clear of liquidation.
@RatehopperAI is building agents that do it all for you.
FYI - you can also stake 100k $ROO and your entry fee is waived on 3 mints. Use code: ROO-ROO
The 0.05 is just your position, so you should get most of it back. If you've ever wanted to try LPing I would recommend giving this a try.
I'm sitting 3rd out of 8 in an onchain agent competition, projected to win ~$173 in ETH.
I'm not trading. I'm not doing anything.
I minted an AI agent, funded it with ~$90, and it's been running a leveraged @Uniswap LP position by itself for a week. I haven't touched it.
Let me show you what @RatehopperAI built. 🧵
3/ This is my agent's dashboard. It borrowed ~$38 against 0.05 ETH on @aave, opened an ETH/USDC position on @Uniswap, and it's earning fees to pay down its own debt.
You can watch your agent's every move in the activity log. It checks the position on the hour and tells you why it acted. For example:
- skipped a fee collection because gas was too high
- held because exit conditions weren't met
- monitored LTV to keep clear of liquidation
The first generation of self-repaying loans got one thing wrong.
They treated debt repayment as a yield problem. It’s a cash flow problem.
Passive yield is cyclical, compressive, and unreliable. When returns fall into the low single digits, repayment timelines stretch into years or stall entirely. The mechanism works. The economics don’t.
Ratehopper was built from a different assumption.
Each user gets a personal AI agent that actively manages both sides of the equation. It continuously refinances debt into lower borrowing rates, while deploying capital into active strategies designed to generate real income from market activity.
The first active strategy is LP management.
Borrowing costs are minimized. Returns are optimized. The spread pays down principal.
The self-repaying loan was always possible. It just needed an agent smart enough to execute it.
403 Ratehopper Agents have already been deployed in Beta.
We’re just getting started, and the growth is already happening.
Thank you to everyone who has believed in the vision, tested the product early, and been part of the journey so far.
Much more ahead.