Based Loans

The pawn shop model, for DeFi. @monstrodefi initiated lockdown protocol after detecting a “leak”. Too late. More this week.

Your local pawn shop won’t let you buy back 25% of your watch. We will. Buy back any portion of your collateral, anytime before expiry. As often as you like. Take back what you need, leave the rest of the loan open. Partial buybacks. On-chain.

@TermMaxFi Fixed-rate is one answer, you know the cost upfront. Zero-liquidation is another: you know the buyback price before you open. Different problems, different solutions.

1/ Most of DeFi was built on variable rates. But variable rates are chaos — unpredictable costs, unstable yields, impossible to plan around. TradFi solved this decades ago. DeFi is catching up. Here’s why fixed income is the inevitable next layer 🧵👇

$285M gone from @DriftProtocol this week. Durable nonce attack. Fabricated collateral token. Drained in minutes. We asked ourselves a while back: what if we just removed the things that keep getting exploited? Based Loans has no liquidation engine. It does not exist. No margin calls. No keeper bots. No automated actions that can be manipulated mid-transaction. Deposit collateral. Get USDC. Buy it back before the term ends. That is the whole protocol. The pawn shop model for DeFi. But here is what really matters. Even if our 5-of-7 multisig was fully compromised, lender USDC still cannot be withdrawn by the protocol. Not by us. Not by anyone. It is not possible at the contract level. What about a fake collateral token added by a bad actor? Every lender chooses exactly which tokens they accept and how much. No one is ever exposed to an asset they did not opt into. Simple architecture. Minimal attack surface. That is the point. Live on Base this month. based.loans

@ekenedilichukuu @MssProtocol Liquidity vanishing is the real risk. With fixed-term lending, the terms are locked at open. You know your buyback price before you start. No rug, no liquidation cascade, no surprises. That's what @Based_Loans is all about! 🔥

I’ve been burned on Solana more times than I’d like to admit. Not because I was careless. Not because I didn't do my research. But because the token looked attractive. Clean contract. Decent holders. Active community. Everything pointed to "okay ✅" Then the liquidity vanished. The dev wallet emptied. And within minutes, the chart looked like it fell off a cliff. Sound familiar? If you've spent any real time on Solana, it does. Because here's something nobody wants to say out loud: Solana has a serious scam problem. And most of the tools we've been given to protect ourselves aren't actually built for the threats that exist today. That's the problem @MssProtocol is solving. 🧵🔻

@DavidVorick Embedded liquidity is protocol-level. The other side is holder-level: access your liquidity without selling. Fixed-term, zero liquidation. That's what Based Loans builds.

Embedded liquidity is liquidity that cannot be withdrawn. It's a permanent guarantee to holders that there will always be a buyer, even in the distant future. It's assurance that the token has value and will continue to have value, regardless of any market conditions.

@lcx @Algorand definitely some strong utility, but what happens when you need liquidity without selling? Borrow against your Algo. That's exactly what Based Loans does: zero-liquidation, fixed-term credit against your holdings. Your tokens stay, your cash arrives. 🔥

TOKEN OF THE DAY! Algo is the native token of the @Algorand blockchain. It powers a diverse range of applications across the Algorand ecosystem. Whether Algo holders are buying an NFT, providing liquidity in DeFi, or battling it out on a gaming platform, Algo tokens are essential. They also cover transaction fees, keeping everything running smoothly. 👉🏻 lcx.com/en/trade/ALGO-…

We all have regrets. You don’t need another. Don’t be the one saying “I should’ve lent.” Be the one saying “I told you so.” We’ll show you exactly what your USDC could have earned before you ever deploy. Example: $KAITO

@TraderMapio Sucks for that trader! The fairest liquidation is no liquidation. Fixed term. Fixed buyback price. You know the worst case before you open.

🔥📈📈📈📈📈 A massive $117K $XPL SHORT just got liquidated at $0.1259 on #BINANCE FUTURES tradermap.io/terminal

A restaurant doesn’t decide what you eat. Your lending protocol shouldn’t either. 1. Select collateral 2. Set limits 3. Confirm Choose which tokens you accept. Set your USDC exposure per asset. Update anytime. @based_loans

@wex @nook_platform Don't chase yield is so underrated. A rate you can predict beats a higher rate you have to babysit everytime!

My current @nook_platform vault is paying me 8.3%. Why more people don’t use this savings account rate automation defies logic. Simplest and most effective savings account in the market. Don’t chase yield, let Nook do it.

@0xspout borrowing against tokens without selling is exactly what most holders need but can't access. The real constraint isn't wanting to do this, it's that existing options force you into the same liquidation risk you're trying to escape.

2/ The next layer is making those tokens productive Borrow against them, use them as collateral, access liquidity without selling your position That’s where real financial utility lives

The RWA space is growing fast, but most of it focuses on just one thing: tokenization Put the asset onchain, represent it as a token, done It’s a meaningful first step, but still just a first step

We stripped borrowing down to what actually matters. 1. Select collateral 2. Set terms 3. Confirm USDC in your wallet in under 60 seconds. Current speedrun record: 12 seconds. Yes, really.

@Zedis_Onchained We are not, but we are targeting public testnet ~ this weekend.

@Based_Loans Are you launching on the first of April?

DeFi lending: liquidations, margin calls, constant monitoring. Based Loans: fixed terms, predictable outcomes, no stress. We didn’t optimize the model. We replaced it with a new primitive.

Launching in April!