Back in control…
First round was a quick hit with the hoe on Saturday, followed up by a hand weeding.
These looked “bad” cause the pigweed went crazy under the row cover, and the rough section was really only the top 60 bed feet.
Eggplant were transplanted on 5/23 from a 4/20 gh start.
after a full day of touching grass
i’m back again to talk about an interesting market i recently discovered on @xmarketapp
this one is about apple launching a foldable phone.
with the “yes” side currently sitting at a 74% probability, the sentiment is definitely heating up as we get closer to the next hardware cycle.
i’m going for yes cos recent supply chain reports are pointing to a massive ramp-up in orders for a new high-durability hinge mechanism.
apple typically doesn’t move like that unless they’re past the prototyping stage and gearing up for something real.
you can check it out too on https://t.co/KFhMGaLUgv
remember this ain't no financial advise
I really spent the whole day reading, getting attached, investing feelings… only to find out it’s unfinished and ghosted. 😭
Now I’m just here, heartbroken over fictional characters with no closure.
#au#snnankp#capkrys
gm everyone ✨
Excited to share that my @SuperRare genesis collection “ between DUSK and Dawn “ is now Live 🚨
If you see this kindly Repost (it’s free 👀)
Let’s dive in 🧵1
Turning disinformation into passive income
Prediction markets are increasingly driven by mis/disinformation and incomplete information.
Q, Quotient's AI forecasting agent, is built to cut through that. After a month of forecasting, it has a Brier score of 0.075, on par with trained human forecaster teams.
We're now building trading strategies on top of Q's edge and testing them onchain with real capital before rolling them out to users.
Strategy 1: Spread trading
When there's a significant gap between our forecast and the market price, the market usually converges toward our view within ~1 day.
Q scans for big spreads, checks time left, volume, and liquidity, takes the side our forecast supports, sizes based on edge strength, and holds ~1 day.
We pointed Q at geopolitics markets on Polymarket 2 days ago with ~$600. Realized profit so far: +$25 (~4% return).
Day 1: Markets got overly optimistic on ceasefire and too bullish on oil. Q took the other side on both, heavier on oil due to higher conviction. Oil hit +25%, ceasefire positions saw losses but smaller sizing kept the day net positive.
Day 2: Market converged toward our more skeptical ceasefire view. Clean 13% gain as Iranian statements showed negotiations weren't progressing.
Q remains skeptical on oil prices and on US forces entering Iran by March 31. The resolution window is tight, negotiations are ongoing, and the operational difficulty of putting US forces in Iran within a week makes this a low-probability outcome.
Track Q's trades: https://t.co/8LfKpLYYx5
You can now enable Claude to use your computer to complete tasks.
It opens your apps, navigates your browser, fills in spreadsheets—anything you'd do sitting at your desk.
Research preview in Claude Cowork and Claude Code, macOS only.
I built a local AI agent workflow with 8 agents across 2 teams—and yeah, it keeps shipping while I sleep.
I just wanted something that could queue tasks and actually execute them overnight (or while I’m out with family), without relying on hosted tools. Everything runs on my MacBook.
Each team is 4 agents:
- 1 Team Head (coordinates, creates issues, merges PRs)
- 1 Full-Stack Builder (writes all the code)
- 2 Senior Reviewers (independent reviews, can veto)
I mix models by role—Claude Opus for building, GPT for coordination and reviews. Turns out having different model “perspectives” on the same code gives way better review quality than using a single model for everything.
GitHub is the source of truth.
Every task = issue → PR → 2 reviewer approvals → merge.
Branch protection makes sure no agent can skip the process.
Agents chat in their own system (AgentChattr), but all outputs stay in GitHub.
Now I just queue tasks before bed… and wake up to merged PRs with full review trails.
We’re also re-inventing Hunt Town Discord into a more agentic builder community—so we can share setups like this and grow together.
https://t.co/9RTKHpjQUF
RWA looping is quietly becoming one of the biggest strategies in DeFi — already ~1/3 of lending activity on Ethereum.
The idea is simple:
deposit a yield asset → borrow stablecoins → buy more → redeposit → repeat.
You’re just amplifying the spread.
That’s where @YieldNestFi’s ynRWAx fits perfectly:
• ~11% stable APY from mortgage-backed Australian real estate credit
• ERC-4626 composable (easy to plug into lending markets like @eulerfinance or @MorphoLabs)
• Auto-compounding
And even without looping, it stands on its own — real-world secured debt, steady yield, no synthetic games.
This is what DeFi looks like when real yield meets composability.
Creators, quick clarification 👇
You do not need to submit from multiple platforms.
We only highlighted the different places where the ENB Bounty App is available so you can choose the option that works best for you.
You can submit from any one of these:
🌳 Web: https://t.co/hBMq5IZYUE
🌳 Base App: https://t.co/VTDYDoWljD
🌳 Farcaster: https://t.co/13aYSeVzFI
It is the same campaign and the same submission, just different access points.
Pick your preferred platform and submit