Peptide Capitalist

59 posts

Peptide Capitalist

Peptide Capitalist

@peptidecap

Crossover VC (AI, sw, frontier tech) and public investor. Deploying capital into startups and gray market peptides into my body

San Francisco, CA Entrou em Nisan 2020
198 Seguindo102 Seguidores
Joanne Jang
Joanne Jang@joannejang·
hypothetically if you're willing to bet literally 90% of your net worth that an ai startup valued $30B+ will fail, where / how would you bet?
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Peptide Capitalist
Peptide Capitalist@peptidecap·
@mignano By extension shouldn’t this make you more excited about the inference providers (fireworks baseten et al) x.com/peptidecap/sta…
Peptide Capitalist@peptidecap

Indiscriminate tokenmaxxing and letting teams run wild racking up usage bills on Opus tokens is a temporary phenomenon Frontier spend is a leading indicator for open source spend. There will be a massive shift of many workloads (not all but many) to open source and people are underestimating how much value will accrue to @baseten @FireworksAI_HQ et al Both raising at $10-15B valuations which at face value feels nosebleed…but so did previous rounds at valuations they’ve already grown into

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Peptide Capitalist
Peptide Capitalist@peptidecap·
@reidRMC @brexton My b lol timing was just funny. Do you actually agree with that tweet though? The two examples of Josh and Neil aren’t great comparisons for even folks spinning from T1 funds given their backgrounds. Feels like bad idea for your average 28 yo principal to try it
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Reid Christian
Reid Christian@reidRMC·
No better time to spin out a firm unless you like and respect who you work with Or you got fired, that’s always a good time to “spin out”
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Peptide Capitalist
Peptide Capitalist@peptidecap·
@brexton @reidRMC Is this subtweeting who I think it is? If so idgi why would Reid have beef with him… literally the nicest dude in the industry
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brexton
brexton@brexton·
@reidRMC Holy shit This is now the new bar for your twitter
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Peptide Capitalist
Peptide Capitalist@peptidecap·
@chongz Fireworks as at 350M at end of last year - on relative growth basis Baseten has been much faster
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Lin Qiao
Lin Qiao@lqiao·
We just hit a major milestone — @FireworksAI_HQ passed $800M annualized run rate and reached 4x revenue growth, apart from Cursor, in Q1. We invite curious and courageous minds to join us and define new frontiers of specialized intelligence!
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Peptide Capitalist
Peptide Capitalist@peptidecap·
@tailrisked Not surprised. The best performers over the last 5 years were uniformly not the people who went to b school. If you did the IB/PE track and were good you either stayed and got direct VP promote or went to publics/crossover
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tailrisked
tailrisked@tailrisked·
Wharton - seems like everyone has just been taking the piss for the last two years. Not a single person comments on the substance of what they have learned. I think there is a lot to negative selection in mba’s now. No longer needed to build a professional network like it was a few decades ago
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tailrisked
tailrisked@tailrisked·
I’m at a family members MBA graduation and it’s a sorry state of affairs Everyone is just bragging about how they spent the last two years drinking and traveling Everyone I have spoken too is unimpressive and unmotivated
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Peptide Capitalist
Peptide Capitalist@peptidecap·
Indiscriminate tokenmaxxing and letting teams run wild racking up usage bills on Opus tokens is a temporary phenomenon Frontier spend is a leading indicator for open source spend. There will be a massive shift of many workloads (not all but many) to open source and people are underestimating how much value will accrue to @baseten @FireworksAI_HQ et al Both raising at $10-15B valuations which at face value feels nosebleed…but so did previous rounds at valuations they’ve already grown into
jbivs@Joshmbivins

Anthropic sales call was goated. 15 mins. Guy shows up basically says “It is what it is, player. Here is the link to sign up.” Then bounces.

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FundaAI
FundaAI@FundaAI·
From some discussions we came across today on TPU v9 networking, the direction seems broadly consistent with what we had touched on in our earlier report. The next step-up in Google's TPU networking bandwidth appears to come from two directions. First, the new scale-out network architecture, which seems to be increasingly corroborated by the Boardfly direction and Virgo Network. Second, the continued upgrades in scale-up / ICI bandwidth. We had also flagged the possibility that future TPU systems could move toward a higher-dimensional torus topology, potentially a 6D torus. If TPU v9 upgrades the topology, optical module speed, and port ratio at the same time, a roughly 4x increase in ICI bandwidth versus TPU v8 may not be entirely out of reach. This is likely not just a matter of "buying more optical modules." It could reflect a system-level architecture shift in Google's TPU roadmap toward higher bandwidth and higher optical interconnect content. One point that did not get much airtime in today's discussion, but which we had spent more time on in our earlier report, is the potential introduction of coherent-lite technology. If coherent optics does make its way into this part of the architecture, the dollar content per optical module could rise meaningfully — in some designs, perhaps even close to doubling. It would also bring in a more complex modulation stack, which may call for more advanced silicon photonics, thin-film lithium niobate, or other higher-end PIC platforms. That matters because the value migration would not be limited to the module layer. It could also benefit upstream components, including lasers, modulators, PICs, DSPs, connectors, and advanced packaging. If this plays out, the TPU networking upgrade would meaningfully shift more AI cluster value into optical and connectivity content. Names we'd keep an eye on as potential beneficiaries include $LITE , $COHR , InnoLight, $NOK , $MRVL , $SMTC , $AXTI , and $TSEM .
FundaAI@FundaAI

Deep|AI Infra 2026: Shifting from "Brain Power" Competition to "Whole-Body" Evolution This is one of our most important reports this year, and our entire team invested a significant amount of time and effort into it. We observed that the OCS ratio in Scale Up scenarios is still rising rapidly, and we also found that $MRVL is involved not only in TPU but also in LPU. In 2026, the focus of AI development has pivoted from chasing high benchmark scores to pursuing AI Agents capable of multi-step reasoning and autonomous action. This infrastructure arms race is undergoing a transformation akin to biological evolution. If an AI system is viewed as an evolving organism: the GPU/TPU represents the calculating brain; Memory and Storage serve as the memory carriers for experience and context; the CPU acts as the hands coordinating tasks; while Optics and Networking function as the limbs supporting systemic data flow and response sensitivity. Under the framework of the Agent Scaling Law, the core bottleneck is no longer just the FLOPS of a single chip (brain power), but rather the communication efficiency (limbs), the memory wall (memory), and the Total Cost of Ownership (TCO). The “Brain” Idle Crisis: Even with the most powerful compute cores, if the “limbs” (communication) are underdeveloped, chips will sit idle for over 1/3 of the time waiting for data. The “Memory” Retrieval Bottleneck: Long-sequence reasoning for Agents imposes rigorous demands on KV Cache management; the performance of memory and storage components has become the deciding factor for an Agent’s logical depth. Dimensional Evolution of “Limbs”: To overcome the communication bottlenecks inherent in MoE architectures, infrastructure is moving from 3D Torus toward high-dimensional topologies (up to 10D). Networking investment weight is now matching or even surpassing that of compute chips. This report outlines the bottlenecks facing AI Agents and recent TPU progress, specifically exploring how Google TPU optimizes “whole-body” coordination through vertical integration. We argue that: Networking is the new core battlefield: To solve MoE All-to-All bottlenecks, Google is significantly expanding scale-out bandwidth and shifting from 3D Torus to higher dimensions. Unlocking TCO and Allocation Efficiency: Through proprietary architecture and vertical integration, the TPU v7 rack cost is significantly lower than the NVIDIA GB200. This efficiency gain frees up CapEx for growth in optical communications and memory. $LITE $NOK $CRDO Detailed Report fundaai.substack.com/p/deepai-infra…

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altra
altra@catboosted·
Also for those familiar with it, yes, Parallel was/is going for a raise. Sub ~$10M ARR, are my best estimates
TBPN@tbpn

BREAKING: @carrawu is joining Parallel Web Systems as product lead

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Peptide Capitalist
Peptide Capitalist@peptidecap·
@FundamentEdge This is absolutely insane value to be giving out for free and should be mandatory viewing for anyone in publics Except for the millenium boiz whose compliance won’t give them any AI tool access 🤣
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Peptide Capitalist
Peptide Capitalist@peptidecap·
@EverettRandle What do you even do as a growth investor today… almost feels like nothing else is meaningful and that’s why you see even traditionally “growthy” firms going way earlier
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sudarshan
sudarshan@ItzSuds·
Quick Update: have 8 series As from seed now. Most likely 1 more by end of month. The sun is a little brighter. The air feels a little cleaner. I’m benching 250 for reps & I’m not depressed anymore My dream of escaping the post-AGI poverty underclass feels slightly in reach now
sudarshan@ItzSuds

I think I’ve cracked the perfect VC product for founders & LPs Founders in my portfolio who’ve raised giga rounds w my help introduce me to their friends who’re ready to raise a Series A so I can put in a check at the seed round price & then run their round 5/5 t1 leads so far

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Sell Side Pleb
Sell Side Pleb@sellsidepleb·
Who is the best analyst on the neoclouds? Looking for someone that is deep in the economics and business model specifically.
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