Deep Insight Labs

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Deep Insight Labs

Deep Insight Labs

@DeepInsightLabs

Operating system for AI-native hedge funds @fdotinc | Hosting The AI-Native Hedge Fund Competition @ NY Techweek https://t.co/GU2f4ExAJg

Katılım Mart 2025
362 Takip Edilen176 Takipçiler
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Deep Insight Labs
Deep Insight Labs@DeepInsightLabs·
So excited to be hosting From Thesis to Fund: The AI-Native Hedge Fund Competition at NY Tech Week 2026! We’re bringing together AI engineers, quants, founders, and domain experts to test a bold idea: AI has already begun lowering the barrier to highly technical fields like software engineering, design, and research. Could AI also lower the barrier to building and operating sophisticated investment strategies? Can the next generation of portfolio managers be built through AI-native infrastructure instead of traditional hedge fund pipelines? If you believe you have edge — but not yet the machinery to prove it — this is where you test it. Sign up to our event (link in comments) #NYTechWeek #AI #Fintech #HedgeFunds #Quant #Startups #Agents #Investing @Techweek_
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Deep Insight Labs
Deep Insight Labs@DeepInsightLabs·
@JarJovonovich @JaredKubin You are comparing the top 3% or so on the sell side to the median on the buyside. Not to mention the sell side likely has worse hours. Lol.
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John
John@JarJovonovich·
@DeepInsightLabs @JaredKubin Wow really? Sounds low. Can make barely less than that on sell side. Even more than that if in a banking sector or a top 3 II.
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Jared L Kubin
Jared L Kubin@JaredKubin·
HF BONUS 101: *with all these payout posts on “revenue”… let me contextualize the multi strats for you JS is its own animal. But the multis (Citadel, Millennium, P72, BAM, Exodus, Schonfeld) all run the same flavor of comp. Siloed pods…eat what you kill payouts can run 12-25% of P&L depending on what your PM negotiated and what platform you’re on. Smaller shops quote 20%+ to pull talent. Sidenote… a lot of these “signing bonuses” you see in articles are actually loans against future comp this can be clawed back… but that’s for another post. stuff people get wrong: it’s NET P&L, not gross. Financing, borrow, Bloomberg, data, salaries, seat costs, overhead… all netted before payout. A pod doing $50M gross might pass through $15M before anyone sees a check the PM controls the splits inside the pod. If the team is on 18% and the PM runs a 6 person book, he decides what everyone gets. No formula. Some are generous. Plenty keep 70%+ and treat analysts as fungible. Biggest variable in your actual comp and nobody talks about it in interviews… get it in writing. Netting across sub sectors is real inside a team…make sure you understand! high water marks are real. Down 8% one year, you make it back before the clock restarts. Some platforms reset HWM if you get rehired elsewhere internally, some don’t. Ask 100%. deferrals. USUALLY 50% of your bonus above some threshold gets deferred 3 years and only vests if you stay. How they keep you from walking after a big year. Leave early, you eat the unvested portion unless your next shop buys you out. IF You lose money in year 2… it gets netted against deferred with no recourse. Tough. the drawdown trigger is the scary part. Most pods have a stop loss, usually 3-5% of budget, sometimes 7-10%. Hit it and you’re done. Pod cut, team fired, capital reallocated. Doesn’t matter how good your 3 year track record is. This is why a 20% payout sounds rich until … yea a senior analyst on a good pod clearing $1-3M in a normal year is realistic. PMs running their own book can do $5-20M+ in a strong year. Top decile PMs at the big shops are printing numbers that would surprise you. Flip side, median PM tenure at these places is 2-3 yrs and a real chunk of pods blow up every cycle (think NFL career length) Overall… everything is negotiable, it’s opaque, clawbacks suck, and a hard way to make an easy living
Wall St Engine@wallstengine

JANE STREET PAY POOL TOPS $9.4B Jane Street paid $9.38B in 2025 compensation after pulling in $39.6B of trading revenue, ahead of major banks and peers. Average payout was $2.68M per employee, while members’ equity hit $45B.

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Deep Insight Labs
Deep Insight Labs@DeepInsightLabs·
SF has some of the most forward thinking and divergent thinkers around. Overheard in SF this week: Hardware founder looking to build new video game consoles. Microsoft, Sony and Nintendo had a moat previously because it was difficult for game developers to learn the SDK for a new platform, or to port existing games. But AI coding tools may erode this moat. Not an expert in this field, but I think the guy pointed out an interesting externality here.
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Lou
Lou@louisregis·
If anyone is looking to launch a prop firm on top of Hyperliquid/Polymarket/Spot assets, we’re here to provide the tech and help as many firms integrate as possible. I believe that over the next 6–12 months, we’ll see more than 100 on-chain prop firms emerge. We’re also building a fully on-chain, non-KYC equivalent, and we handle your risk management end to end
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Deep Insight Labs
Deep Insight Labs@DeepInsightLabs·
@JaredKubin On second thought, your figures are high feasible if the senior analyst is running a small book as a sub PM.
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Deep Insight Labs
Deep Insight Labs@DeepInsightLabs·
This is correct. A lot of the crazy numbers you see on X and WSO are just people LARPing.
Jared L Kubin@JaredKubin

HF BONUS 101: *with all these payout posts on “revenue”… let me contextualize the multi strats for you JS is its own animal. But the multis (Citadel, Millennium, P72, BAM, Exodus, Schonfeld) all run the same flavor of comp. Siloed pods…eat what you kill payouts can run 12-25% of P&L depending on what your PM negotiated and what platform you’re on. Smaller shops quote 20%+ to pull talent. Sidenote… a lot of these “signing bonuses” you see in articles are actually loans against future comp this can be clawed back… but that’s for another post. stuff people get wrong: it’s NET P&L, not gross. Financing, borrow, Bloomberg, data, salaries, seat costs, overhead… all netted before payout. A pod doing $50M gross might pass through $15M before anyone sees a check the PM controls the splits inside the pod. If the team is on 18% and the PM runs a 6 person book, he decides what everyone gets. No formula. Some are generous. Plenty keep 70%+ and treat analysts as fungible. Biggest variable in your actual comp and nobody talks about it in interviews… get it in writing. Netting across sub sectors is real inside a team…make sure you understand! high water marks are real. Down 8% one year, you make it back before the clock restarts. Some platforms reset HWM if you get rehired elsewhere internally, some don’t. Ask 100%. deferrals. USUALLY 50% of your bonus above some threshold gets deferred 3 years and only vests if you stay. How they keep you from walking after a big year. Leave early, you eat the unvested portion unless your next shop buys you out. IF You lose money in year 2… it gets netted against deferred with no recourse. Tough. the drawdown trigger is the scary part. Most pods have a stop loss, usually 3-5% of budget, sometimes 7-10%. Hit it and you’re done. Pod cut, team fired, capital reallocated. Doesn’t matter how good your 3 year track record is. This is why a 20% payout sounds rich until … yea a senior analyst on a good pod clearing $1-3M in a normal year is realistic. PMs running their own book can do $5-20M+ in a strong year. Top decile PMs at the big shops are printing numbers that would surprise you. Flip side, median PM tenure at these places is 2-3 yrs and a real chunk of pods blow up every cycle (think NFL career length) Overall… everything is negotiable, it’s opaque, clawbacks suck, and a hard way to make an easy living

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Gabriel Jarrosson
Gabriel Jarrosson@GJarrosson·
There's a startup in the current YC batch (P26) that's adding $1M in ARR every two weeks 😳
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Deep Insight Labs
Deep Insight Labs@DeepInsightLabs·
@willchen500 @samuvigano I'm not disputing that products have value (they do!), I am pointing out that there are other assets/aspects that contribute to a company's valuation. Distribution matters. "Better product" is highly subjective.
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WillC
WillC@willchen500·
I understand where you are coming from but there’s nuances to this. Google beat all the search incumbents due to a better search algorithm that no one else was able to replicate. The brand etc is true, but if a true competitor emerges with a radically better product provided there is distribution the market adjusts. That’s how market competition works. All the stuff you mentioned has value but so does product. You can’t exclude product from the list.
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WillC
WillC@willchen500·
Harvey is valued at $11B. Legora just raised at $5.5B. I built their entire web application in two weeks and I'm making it open-source and free for everyone to use. Say hi to Mike: mikeoss.com. When I got the chance to try Harvey and Legora, I was surprised by how simple they were. A thought came to mind: I could probably build something similar in no time at all with Claude. And so I did. Assistant, project, tabular review and workflows. You get it all without vendor lock-in. Mike offers law firms an alternative, where they own the application layer and aren't stuck with a vendor they're renewing forever. You can try Mike in the demo on the website, or go to the GitHub link on the site to download the code and run a local version yourself.
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WillC
WillC@willchen500·
@samuvigano I don’t disagree. But people are shocked to learn how simple it is. Also should something so simple be valued at 11B?
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Ben Lang
Ben Lang@benln·
Kicked off a group chat for Cursor team members who occasionally angel invest. There are now 20 of us. Reach out if you're working on something new, love to share with the group!
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Deep Insight Labs
Deep Insight Labs@DeepInsightLabs·
Anyone else feels like ChatGPT has been steadily regressing? It feels like one of those cheap helpdesk chatbot these days.
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激かわ動物
激かわ動物@Gekikawa_Dbts·
クロワッサンを食べるオウムの優雅な朝
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Deep Insight Labs
Deep Insight Labs@DeepInsightLabs·
@rdominguezibar Real flex is how he and his investors figured out how a discretionary/fundamental fund works without any formal experience. It's not as complex as what Wall Street would like people to believe.
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Ruben
Ruben@rdominguezibar·
Everyone obsesses over how Leopold turned $250M into $6B The real flex is how he raised the $250M 👇 ▫️ Columbia at 15, valedictorian at 19 ▫️ Plugged into the EA/AI intellectual circles ▫️ Joined FTX Future Fund, then OpenAI ▫️ Wrote "Situational Awareness," one of the most prophetic AI essays ever ▫️ Warm intros to billionaires followed ▫️ Closed a $250M fund The returns are great. The on-ramp is the real masterpiece Distribution and credibility compound before capital does
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Mandar Wagh
Mandar Wagh@waghweb·
Introducing Black Robotics, The world's first standardized data pipeline for humanoid robot training book a demo: blackrobotics.tech
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Deep Insight Labs
Deep Insight Labs@DeepInsightLabs·
@fdotinc This session made me realize I have poor tastes in email subjects. I prefer all the corporate sounding ones that were rated lowly 😀
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Founders Inc
Founders Inc@fdotinc·
how to cold DM anyone: complete basics 00:00 Why I love cold emails 02:36 Inbound vs creating your own luck 03:52 Should you use AI to write your DMs? 04:33 The 5-part subject line rubric 06:13 The cold email Mark Cuban replied to 12:18 The Lovable email everyone responds to 13:18 You want a hell yes or a no 13:39 The hedge that kills your reply rate 14:29 Leading with negative curiosity 18:10 Optimize your email for someone's AI inbox 19:59 Pop quiz: which subject line do you reply to? 22:38 If you want an investor to open it, mention another investor 27:25 Match the message to the GP, not the analyst 35:08 "yo bro wanna collab" is terrible 35:48 Your message is way too long 36:24 Burying your ask 38:30 Following up after a hard no 39:37 The mistake of making it all about you 40:18 Email Bible vs Twitter Bible vs LinkedIn Bible 40:40 Set a rule 42:07 Personalization? 43:28 The 3 questions to answer before sending
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Avery
Avery@averycode·
At the @HackerResidency 👾🔥 The internet is insane, 8 months ago I started posting on x and now I’m living with indie hackers from around the world
Avery tweet mediaAvery tweet mediaAvery tweet mediaAvery tweet media
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Bilal Farooqui
Bilal Farooqui@bilalfarooqui·
Why do VCs like to invest in people with faang or ivy backgrounds? Bc most venture investments fail and its too easy to say “what the hell were you thinking writing that check to the guy from Texas Tech”
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Deep Insight Labs
Deep Insight Labs@DeepInsightLabs·
@HighyieldHarry If AI does only 90% of the work, that job is not going away. It simply shifts the cognitive load and value towards the remaining 10% and the candidate who can do those tasks well.
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High Yield Harry
High Yield Harry@HighyieldHarry·
"It will halve the Analyst pool" "I genuinely feel bad for current students looking to go into finance" "AI does quite literally 90% of the actual work of my job. I am just the conductor of what needs to get done." If you want to understand what's going on with AI in Finance then you to read my recently published 2Q State of AI in Finance report Active Buyside Hub contributors have full access to the report. Details to join below.
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