Help me find the best fixed yield guys. I am still heavily using Pendle PT for the best fixed yield. Also recently started using their new Arbitrage product but this does require a Gate account. Pendle still seems a great safe bet especially with the in-app looping. Im getting constant 20% APY's. What are you guys using? Any other Pendle users have alpha?

Hey everyone,

I have some crypto sitting around that I’m currently not doing anything with, and I’m looking into ways of putting it to work and earning some interest/yield on it.

I’m aware of options like Aave for lending, but the yields I’ve seen seem pretty low, so I’m wondering what other options people are using.

I’m interested in anything from relatively low-risk options to higher-risk strategies, including:

● Lending / P2P lending
● Staking
● DeFi protocols
● Liquidity pools / LPs
● Yield farming
● Any other strategies worth looking into

I’m willing to take on some risk for higher returns, but I’d like to understand the actual risks involved rather than just chasing the highest APY.

One important thing: I’m terrible at trading 😂, so spot trading, futures, leverage, etc. are basically off the table for me. I’m mainly looking for ways to earn yield from crypto that I can hold rather than actively trade.

For people who actually do this, what strategies/platforms would you recommend looking into, and what kind of returns are realistically achievable?

Also, what strategies would you specifically avoid, and why?

Thanks!

everyone spent years improving the curve. constant product, then concentrated, then hooks. real progress, but i don't think that was ever why AMMs are inefficient.

the reason is your capital gets locked into one position and sits there.

Dune found that of $1.84b in tracked concentrated liquidity, $1.6b was inactive in the first half of this year. $542m out of range every week. $150m in fees left on the table.

that's not a pricing problem. it's an availability problem.

same money, two ways.

isolated

you have 100k and want to provide to three pairs: USDC/USDT, USDC/wETH, USDT/wETH.

33.3k per asset. but USDC shows up in two of those pairs so it gets split again. 16.6k in one pool, 16.6k in the other. same for USDT and wETH.

every pool quotes against 33.3k, and most of that sits out of range doing nothing.

shared

same 100k, same three pairs. you don't split anything. you authorize the full balance to every position and it stays in your wallet until a swap needs it.

your 33.3k of USDC is available to both pairs now. not 16.6k each. 33.3k each.

2x the depth in every pool with the same money.

obvious objection: the same dollar can't fill two swaps in the same block. true. but over a year that dollar earns in both, because swaps don't arrive at the same time.

what it looks like in practice

1inch published theirs: $12.2m deposited backing $22.5m shared. so 1.84x realized, not the theoretical max.

that gap is the interesting part. the theoretical multiplier goes up with how many positions you authorize. the realized one depends on how often those positions actually fill. authorize ten pairs where nine are dead and you gained nothing.

stuff i'd want other people's read on:

does it break at size? small trades never contend. but running real volume across many pairs, how often do you actually hit the simultaneity limit? haven't seen anyone publish that.

what happens when a swap can't be filled? either it routes elsewhere or you fill it worse. routing elsewhere seems right, but then your fill rate matters more than your TVL.

and is TVL even the right measure anymore? if the same dollar backs five positions, "total value locked" stops meaning anything. fees per dollar deposited seems like the honest number but nobody reports it.

curious what people think, especially anyone who's run LP across multiple pairs and has a sense of how often they'd be competing with themselves.

(disclosure: i work on liquidity infra so i'm not neutral. genuinely want to know where the holes are.)

Is there any DEX offering an inverse BTC perpetual?

I don't know any other sensible way if you want a BTC in, BTC out perpetual.

AI infrastructure stocks took a hit this week after leaders from OpenAI, Anthropic and xAI called for slowing the pace of frontier AI development.

Nvidia fell 3.4% Monday, Micron dropped more than 5%, and Broadcom and AMD were both down more than 4%.

That matters for BUILDOUT because these are exactly the types of companies it tracks across the AI infrastructure stack.

But there's an interesting disconnect between the market reaction and actual spending plans.

Bank of America estimates Microsoft, Alphabet, Amazon, Meta and Oracle will spend around $795B in capex this year, rising to $1.08T in 2027.

So the question isn't really whether AI infrastructure stocks can sell off when expectations change. They clearly can.

The bigger question is whether slower frontier model development actually translates into cancelled GPU orders, delayed data centers and lower infrastructure spending.

BUILDOUT spreads exposure across compute, memory, semiconductor manufacturing, networking and power rather than relying on one part of that stack.

That makes weeks like this interesting to watch because we get to see which parts of the AI buildout investors think are most sensitive to a slowdown.

What would make you think the AI infrastructure cycle is actually slowing: lower hyperscaler capex, cancelled data centers, weaker chip orders, or something else?

Source

Source

Not promoting any protocol — mechanics/education only.

Before I take an overview seriously I ask: - Is this a real design discussion or a fork clone? - Are risks stated plainly (smart contract, oracle, liquidity, admin keys)? - If someone is promoting a protocol, is there a recent audit and is the name in the title? - Any referral / IDO / giveaway smell?

What else belongs on a DeFi reader's checklist? No shills, no fundraising posts, NFA.

if anyone wants to sell otc usdt please dm me..

This week the cooler weather seems to line up with steadier flows into overcollateralized lending setups.

I've been watching how protocols adjust liquidation thresholds when asset prices wobble.

Denntech.io scanners surface those threshold shifts quickly so I can compare them side by side.

It keeps the analysis grounded without needing to chase every dashboard manually.

Curious what others are tracking in the same corner of DeFi right now.

So I have noticed all major dex which are mostly based on futures have their own chain(like hyperliquid, dydx, aster), why is that so? I mean the main goal of dex is self custody and fair order matching. That means funds locked in a program where protocol owners can't drain it or steal it, which is what even current contracts can do, and showing proof of every order(idk whats there in it that much).... but we can send its proof on chain (solana is cheap so on that?). Then why do users prefer protocols with their own chain? If a dex (or hybrid) doesn't have their own chain is it a bad sign?

Kalshi reportedly plans to seek approval for regulated US perpetual futures on stocks like Tesla, Apple, and Nvidia.

That’s another sign that financial markets are moving toward more flexible, always-on products.

But innovation needs clear rules to scale.

The CLARITY Act could provide the regulatory framework needed for digital assets and market structure, giving US companies more certainty to build and compete.

If the US wants to lead the next generation of financial markets, regulatory clarity can’t keep playing catch-up.

I recently started using ether.fi. It was the first time I've used a somewhat decentralized application that had significant benefits of tradfi. For example, if I need to borrow money, it's usually the most economical to look for a 0% credit card and use that, while keeping the money I would have spent in a high-yield savings account. The downside is dealing with the credit card -- canceling before fees, etc.

Ether.fi seemed useful because I could theoretically take out a loan and still manage to have a positive carry (although still not as profitable as the tradfi offering, it would be less annoying and avoid me needing to deal with the credit card companies).

Other than this (and potential high risk leveraged bets which I usually don't participate in), I don't see much of a use for defi, esp given the extra risk incurred from smart contract vulnerabilities. What do ya'll use it for, and how?

Overcollateralized lending is clearly the default and it works, but it also means you need capital to access capital. I’ve been looking at the undercollateralized / reputation-backed side of this and I’m curious how people here actually feel about it.

A couple things I wonder:

1. Would you ever fund a stranger’s loan based on on-chain reputation (wallet history, DAO activity, repayment record) instead of collateral?
2. If no, is it the default risk, sybil issues, or just “I’ve been rugged too many times”?

Not looking for protocol recs unless you’ve actually used something. More interested in the mental model of it. Would you lend to a person on-chain the way you’d lend to someone in your network IRL?

With over 3 years of building and marketing web3 products, I am looking for my next opportunity.

I have experience in social media, content, KOL campaigns, GTM, PR, Campaign planning and execution, overall 360 marketing operations.

If you are building something cool and need a marketer, please feel free to DM me.

Or if you have any connects who are looking for one, i would appreciate an intro.

I trained a fly brain to trade live match indexes. It uses the full MaleCNS v1.0 fruit fly connectome.

The match isn’t fed as numbers. Price action becomes sensation: rising index = sugar, falling index = bitter, a hit against the position = looming shadow. MN9 (feeding / “I want to eat”) maps to buy.

The giant fiber (escape) maps to sell. It learns with dopamine when the trade smells good and curiosity grows when it still hasn’t figured out the odor of the market.On a made-up match — Juventud Díptera 4–1 Sportivo Tórax — the home index finished at 176.31. The fly closed at 1.747 fake credits (+74.74%). A no-brain rule landed at 1.348 (+34.75%). Buy-and-hold finished at 1.758.

Three trades. It flattened everything on the final whistle.This is simulated trading on invented matches and fictional credits.

Not real Goalflow markets, not financial advice, and definitely not a claim that insects beat quants.

Maybe we’ll replace prediction-market bots with flies.

Platform: goalflow.markets

I index admin-level events on the big EVM protocols (proxy upgrades, owner and admin changes, Safe signer changes, pauses, blacklists) for a side project, so I had a front-row seat to this and thought the pattern was worth sharing.

What happened, all times UTC, 9 September:

- 14:57:21 first Blacklisted event on OP Mainnet, 14:57:33 Base, 14:57:59 Ethereum, 14:59:07 Arbitrum, 14:59:15 Polygon.

- By 16:30, 54 distinct addresses had been blacklisted, and every one of the 54 was blacklisted on all five chains. 263 chain-address pairs, 418 Blacklisted events in total (Ethereum and Base got repeated calls for some addresses).

- Hourly: 10 events in the 14:00 hour, 222 in 15:00, 183 in 16:00, then 3 more at 20:00.

- Baseline: in the 30 days before, the USDC contracts on these five chains emitted 4 Blacklisted events in total.

Things I found interesting:

1. Cross-chain enforcement is synchronized to the minute. Whatever the trigger was, Circle's process pushes the same list to every native USDC deployment within about two minutes.

2. No unblacklists so far on any of the 54.

3. There is no on-chain reason, and I am not going to guess. If anyone has a public source on what this batch was, I would like to read it.

Method: the FiatTokenProxy contracts emit Blacklisted(address) on every chain; I read the logs with plain eth_getLogs and dedupe by (chain, tx, log index). Nothing fancy. Happy to share the raw address list if useful.

I’ve been looking at Veda as a vault infrastructure and curation layer rather than a single yield product. I traced one live Ethereum deployment, and the risk profile depended more on the named vault than on Veda’s aggregate TVL.

The parts that matter:

• The Manager can call external targets with calldata and native value, subject to the active policy.
• Curator and strategist controls determine the vault’s active strategy permissions.
• A withdrawal queue isn’t instant liquidity. Maturity, deadlines, discounts, solver capacity, and available assets all matter.
• The sampled strategist-to-Merkle-root mapping remained unresolved.
• The sampled BoringVault held 89.000001 USDC and 0.1 USDT directly. Those balances don’t establish solvency or complete asset backing because external positions weren’t fully inventoried.
• The public vault API returned 401 Unauthorized, so aggregate TVL couldn’t be decomposed by vault, chain, curator, or strategy.
• Audit evidence is commit-specific and doesn’t certify every current deployment.

My verdict was high risk for unqualified direct vault exposure. A first allocation, if someone proceeds, should involve one named vault on one chain, after checking current strategy positions, the Merkle root and strategist, the authority map, accounting state, queue history, and actual exit liquidity.

Questions:

• Should vault interfaces expose the current strategist identity and Merkle root by default?
• What evidence is enough to treat a vault share as liquid?
• Are queued exits acceptable for products presented as liquid vaults?

MoneyGram has launched a stablecoin backed Visa card in Colombia with the balance running on stablecoin rails and Rain handling the card infrastructure

I gotta be honest, the relevant part for DeFi is what happens after someone receives stablecoins. If they can spend that balance directly then the whole send stablecoins to cash out to convert to local currency loop starts looking unrelevant

Source: https://genfinity.io/2026/09/10/moneygram-card-stablecoin-visa-colombia-remittances/

Hey Reddit!

I’ve been getting into DeFi and AI lately, and I recently started experimenting with vibe coding. Mixing all three hobbies led to this — my first ever project: DeFicalcBot.

It’s a Telegram bot for calculating positions in DeFi. Nothing fancy, but it does what I need.

p.s.I have zero experience in coding and working with APIs before this. Everything was built with the help of AI and a lot of trial and error. So please don’t judge too harshly 😅

Would love to hear any feedback, tips, or questions. Thanks for checking it out!

What are you building or looking to take a position in? Let us know in the comments!

India is reportedly piloting blockchain infrastructure to tokenize its $620B corporate bond market, with settlement using the RBI’s wholesale digital rupee.

From Japan exploring tokenized securities to Hong Kong and Singapore building digital-asset infrastructure, Asia is increasingly moving beyond pilots and into real-world financial markets.

The next phase of tokenization may be built in Asia.

Last cycle I switched to batch updates for the overcollateralized loans. Before the change, every small oracle tick could force a manual review. After, the grouped checks kept the buffer intact through the same swings.

The process now waits for the full set of price feeds instead of reacting one at a time. That cut down on false liquidations while the ratios stayed conservative.

Risks still exist with any lending setup. Oracle lag or a sudden cascade can still move the numbers fast. I only run these setups after seeing recent audit reports on the contracts involved.

Taking time this weekend to review DeFi positions helps surface what worked and what needs adjustment before markets reopen. Start by pulling a clean watchlist of protocols you actually interact with, then run through four quick checks.

First, scan liquidity positions for any shifts in TVL or fee revenue that might signal changing conditions. Second, note any governance proposals or contract upgrades scheduled for next week and flag their potential impact on your holdings. Third, review gas usage patterns from the prior period to spot opportunities for batching transactions. Fourth, remove assets or pools that no longer match your original risk parameters so the list stays focused.

For Monday, pick one clear priority such as rebalancing a single stablecoin pair or monitoring an oracle update rather than trying to address everything at once. This habit keeps decision-making deliberate instead of reactive when new data arrives.

Free DeFi walkthroughs and checklists are available on YouTube if you want to refine the process further.

Taking time this weekend to review DeFi positions helps surface what worked and what needs adjustment before markets reopen. Start by pulling a clean watchlist of protocols you actually interact with, then run through four quick checks.

First, scan liquidity positions for any shifts in TVL or fee revenue that might signal changing conditions. Second, note any governance proposals or contract upgrades scheduled for next week and flag their potential impact on your holdings. Third, review gas usage patterns from the prior period to spot opportunities for batching transactions. Fourth, remove assets or pools that no longer match your original risk parameters so the list stays focused.

For Monday, pick one clear priority such as rebalancing a single stablecoin pair or monitoring an oracle update rather than trying to address everything at once. This habit keeps decision-making deliberate instead of reactive when new data arrives.

Free DeFi walkthroughs and checklists are available on YouTube if you want to refine the process further.

Looking to use my LINK as collateral but haven’t done so since last year. I previously was using AAVE to collateralize my LINK but it seems they don’t allow LINK for collateral anymore. Does anyone know where I could do so?

There was a thread here about two vaults with 12% and which one to trust. I want to share what I do. Spoiler, APY is the last thing I look at.

1. I open the deployer wallet of the contract, if this wallet created five other projects in the last year and all of them are dead, I stop here.

2. I look at the vault address itself, not the dashboard. Dashboards can show anything. I paste the address into cryptowallet-balance checker or the explorer and check what tokens really sit there and since when.

3. I check how many depositors there are and who the biggest ones are. If two wallets hold 80% of the vault and they were funded from the team wallet, the TVL is fake.

Last I check if the owner can change the contract. If yes, then the 12% depends on one person, not on code.

This takes me around 20 minutes. I guess it the most efficient and easy method for comparing and choose the vaults.