Parcl @Parcl

The Real-Time Housing Market. Powered by @ParclLabs | Support: @ParclHelp parcl.co Solana Joined May 2021

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Parcl @Parcl

7 hours ago

@jonbrooks yep, that's the part everyone misses

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Parcl @Parcl

8 hours ago

Live on V4 devnet : devnet.v4.parcl.co

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Parcl @Parcl

8 hours ago

This is a live order book for New York City real estate. Real bids, real asks, updating by the second. Thirty seconds of what housing price discovery looks like when you let people take a side.

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Parcl @Parcl

14 hours ago

Everyone's convinced hedge funds are buying all the houses. The data says otherwise. Cash buyers are 30-40% of sales across the biggest US metros.

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Parcl @Parcl

a day ago

@nocodetycoon @Polymarket 🫡

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Parcl @Parcl

a day ago

Our @Polymarket US housing markets settle monthly right now. Should we run longer ones too? What would you actually take a position on?

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He's right, nothing stops this. ~$90 trillion traded on perps last year. Oil, gold, stocks, crypto. Housing's the biggest market of all. We've spent years building the rails for it. V4 is where it scales.

Kellan Grenier @kellangrenier

3 days ago

Nothing stops this 🚂

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Parcl @Parcl

2 days ago

IMPORTANT NOTICE: V3 orderly wind-down is reaching its conclusion. Please withdraw your LP funds from the V3 pool at your earliest convenience. June 30 is the deadline.

Parcl Help @parclhelp

2 days ago

V3 LP withdrawals close June 30. If you still have funds in the V3 LP pool, please complete your withdrawal as soon as possible. A 21-day countdown is now in effect as V3 enters its final wind-down phase.

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Parcl @Parcl

3 days ago

The top trader on V4 is up ~987%. 120+ signed up in under 5 days. ~11 days left to prove you can do better.

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Parcl @Parcl

3 days ago

Half of America is locked in under 4%. Great rate. But it makes you 100% long your local market with no way to hedge - if your metro turns, you just ride it down. Keep the house and the rate. Hedge the price risk separately. That's what V4 is for.

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Kellan Grenier @kellangrenier

5 days ago

The immense irony here is that perps - in particular real estate related perps - would have perhaps *helped prevent* an 07/08 style crisis, which cascaded in large part because nobody knew who held what at what price and nobody got liquidated promptly (completely solved in perps)

Dan Bernstein @dan_bernstein_

6 days ago

Fascinating quote from CME Group CEO Terry Duffy, whose own company operates a prediction market exchange. Duffy is unhappy with Kalshi getting a green light on perps. Via @business: bloomberg.com/news/articles/…

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Parcl @Parcl

5 days ago

POV: you're the housing market and the seller still won't lower the price

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Parcl @Parcl

6 days ago

Housing has always moved like a market. People were just expected to live through it, not trade it.

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Parcl @Parcl

6 days ago

These are homes where the seller already cut the price and still can’t find a buyer. Price cuts are supposed to unlock demand. In these metros, they clearly aren't. Source: @ParclLabs

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Parcl @Parcl

7 days ago

V4 devnet is live. Grab some test USDC and give it a spin:devnet.v4.parcl.co

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Parcl @Parcl

7 days ago

A realtor’s entire income is a leveraged bet on their local housing market. The problem is not just the slowdown. It is having no hedge. Your income, your pipeline, your net worth all tied to the same market at once. That is exactly the gap Parcl is built around.

The Wall Street Journal @WSJ

a week ago

The slowest housing market in decades is stretching into its fourth year, and even real-estate agents who made it this far are reaching a breaking point. on.wsj.com/4o7Tabu

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Parcl @Parcl

a week ago

See the markets here: polymarket.com/economy/housing

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Parcl @Parcl

a week ago

Everyone has a take on housing. It’s crashing. It’s fine. Your metro’s different. Rates save it. Rates kill it. Put a price on your view. Live U.S. housing markets on @Polymarket . National and metro. Up or down. Settled by Parcl. Markets resolve June 30.

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Parcl @Parcl

a week ago

Source: @ParclLabs

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Parcl @Parcl

a week ago

Your rent might be set by an algorithm. In Dallas, roughly 1 in 12 rental listings shows signs of software-driven pricing, the highest share in the country. Phoenix, Atlanta, and Charlotte are close behind. The metros where corporate landlords run deepest tend to be the same ones where pricing starts to look less human.