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@gmanmalena_

Cornell eng alumn | ex Product @ Bloomberg | Building cool shit

Bronx, NY Katılım Haziran 2011
689 Takip Edilen495 Takipçiler
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G@gmanmalena_·
Introducing Allie: your AI agent for commercial real estate underwriting and professional-grade memos. I've teamed up with my best friend, who has over a decade in finance (including five years specifically in CRE) to build Allie. Today we're excited to launch Allie Lite: a streamlined solution for developers, investors and lenders to quickly tie out ground up multifamily projects.
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G@gmanmalena_·
Brad with a CT shirt and Patagonia vest picking up his Naya bowl on 25th and Broadway, blasting this on his Airpod Pros
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G@gmanmalena_·
@paulg @JedKolko Its not a real city, its like Disneyland for late 20s to mid 30 HENRYs
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Jed Kolko
Jed Kolko@JedKolko·
Miami is the new San Francisco, with the highest out-migration rate of all large metros.
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Elon Musk@elonmusk·
So many phonies, so few who are the real deal
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G@gmanmalena_·
Whoever actually paid attention to the games wouldve made serious cash
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@markgadala Wait till you fund out how much of that $12.6 billion in revenue comes from only data…
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Mark Gadala-Maria
Mark Gadala-Maria@markgadala·
A Bloomberg Terminal costs $24,000 a year. Someone just recreated one using Perplexity Computer for $200 a month. Bloomberg's moat was never the data, that's increasingly commoditized. It was the interface: thousands of keyboard shortcuts, proprietary screens, and muscle memory that finance professionals spent years learning. The switching cost wasn't price, it was retraining. AI agents collapse that moat. If Computer can replicate the interface and pull equivalent data from public sources, the only remaining lock-in is the chat network and real-time feeds. One is a social product. The other is a licensing negotiation. Bloomberg did $12.6 billion in revenue last year selling terminals. The first credible open-source alternative just got built in an afternoon.
ₕₐₘₚₜₒₙ@hamptonism

Perplexity just became the the first Al company to truly go head-to-head with the Bloomberg Terminal... Using Perplexity Computer (with no local setup or single LLM limitation), it was able to build me a terminal with real-time data to analyze $NVDA using Perplexity Finance:

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G@gmanmalena_·
@abcampbell Frankly exhausting at this point
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G@gmanmalena_·
Frankly, if you let people go down their own path and fall on their own sword, they’ll eventually come to the same realization you made a while ago
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G@gmanmalena_·
@andruyeung Tell me you’re not a New Yorker without telling me you’re not a New Yorker
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Andrew Yeung
Andrew Yeung@andruyeung·
New York City Neighborhood Ranking S Tier: Nomad, Flatiron, West Village, Greenwich Village, Soho, Gramercy Park A Tier: Tribeca, UWS, Central Park South, Chelsea, Williamsburg, Lincoln Square B Tier: Seaport, FiDi, Greenpoint, Clinton Hill, Prospect Heights, Dumbo, Union Square C Tier: UES, LIC, Downtown Brooklyn, Midtown West, Murray Hill, Midtown East, Washington Heights, Kips Bay, LES D Tier: Bushwick, Bedstuy, Chinatown, Astoria, “East Williamsburg” No-Go List: Times Square, Port Authority area
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@dnlkwk Spot on
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G@gmanmalena_·
My not so hot take is most Excel agents suck because the average engineer could care less about the details But all the users care about is the details
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G@gmanmalena_·
How do you prove your AI native hedge fund has a good track record?
Y Combinator@ycombinator

AI-Native Hedge Funds @charlieholtz In the 1980s, quantitative trading looked fringe; today it’s standard. We’re at a similar inflection point with AI, and the next great hedge funds will be AI-native, using agents to analyze filings, calls, and markets at machine scale.

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G@gmanmalena_·
maybe im being dramatic but moving from Cursor to Claude Code feels close to a break up
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Virat Singh
Virat Singh@virattt·
I quit my job today. Everything I’ve shared on X over the last 3 years was built in my spare time. Early mornings, late nights, and weekends. Now I’m all in. My focus: 1 • scale @findatasets to $100M ARR 2 • make dexter the best OSS financial agent Grateful for the chance to do this. Let’s build.
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