CREx founder. Deal Intelligence for CRE acquisitions & underwriting. Forward → buy box → pipeline. Feeder into OS. NYU Schack · Real Estate AI.
Manhattan, NY
Joined November 2008
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Vimal Vachhani | CREx retweeted
Two LPs asked for occupancy from the same fund. Both should have tied to 94%, but one came back at 94% and the other at 92.5% because they were pulled from different rent rolls at different points in the quarter. Read more: tinyurl.com/lp-reports
One weekend. Claude 5.5 + ChatGPT Astra. And now we have a full family weekend activity newsletter hyper localized to NYC neighborhoods that factors in MTA, Weather and cost. leonslist.beehiiv.com
Has anyone played with the new ChatGPT Site Builder? It seems like a great way to build your own news and market intelligence aggregator.
Below is a daily CRE macro research site I built. I instructed it to cover all asset classes and always cite its sources.
Deal Intelligence now automates OM parsing right from you inbox to a buy box filter and removes duplicates.
Tip:
When AI suggests a “market rent,” ask it to cite the exact comps or rows it used.
No cite, no weight.
Screening tool.
Autopilot on pricing is how you buy someone else’s story.
Every acquisition team is searching for a tool that does AI underwriting for them. They should be looking to ai-fy their excel model so they can underwrite in 1-hour instead of 10.
Most CRE teams use AI for speed — summarize OM, pull comps language, draft sensitivities.
The edge is validation:
does vacancy / concessions / OpEx match what brokers say on the ground this week?
The next generation of brokers is going to skate circles around the previous.
Sharing LLM ready OMs at scale to every buyer at once via GEO is coming fast.
Brokers still create OM by hand in illustrator, PowerPoint or MS paint. There is a better way in the age of LLMs. Machine readable html + xml is the way.
Brokers and investors already share the same deal. The tools usually don’t.
Investors need triage against a buy box.
Brokers need a place to publish OMs and see who actually engaged.
One network. Not a side product.
crexsoftware.com/crex-deal-i…
Real Estate + AI. Coming really, really soon.
Build models on your own data. Powerful stuff.
crexsoftware.com
#data #ai #realestate
In NYC? Involved with Proptech? Want to meet your peers? Come join us next Thursday for one of our in-person events.
lnkd.in/e-DD9ZC2
Vimal Vachhani | CREx retweeted
The remote work vs. in office debate is strange.
Pretty obvious to me that the best arrangement is:
- 3 days in the office for meetings / team work
- 2 days at home for deep work