LinkedIn Content Strategy & Writing Style
Infra Investing at Moxxie Ventures | Author of 13 AI books | Nvidia alum | Recovering Founder
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Prateek Joshi positions himself as a high-conviction investor and technical practitioner who bridges the gap between deep silicon infrastructure and the evolving software stack. His content strategy centers on deconstructing the compute-heavy reality of AI, moving past surface-level hype to analyze the unit economics of token spend, the strategic moats of hyperscalers, and the shifting power dynamics between frontier labs and vertical AI startups. What makes Prateek notable is his refusal to remain a passive observer; he maintains a sharp technical edge by building open-source tools like pforge, creating a rare intersection of venture capital insight and hands-on engineering. By blending "recovering founder" pragmatism with a deep understanding of hardware-software co-design, he provides a sophisticated briefing on why data ownership and infrastructure control will ultimately outlast algorithmic novelty.
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Claude Code source code got leaked. And someone looked up the one thing that truly matters: Spinner verbs. Turns out there are 187.
Researchers at Google just published a fascinating finding: Simply repeating your prompt twice can dramatically improve LLM performance. In some cases taking accuracy from 21% to 97% on specific searc…
A tale of two cities. There are two opposing views here: 1. Pure vibe coding will lead to a lot of technical debt, which is bad. So you need to learn how things work. 2. AI models are getting so go…
Training LLMs has historically required tightly controlled GPU clusters, but that assumption may be starting to crack. Templar just completed what they claim is the largest decentralized LLM pre-tra…
For centuries, mathematics has relied on a simple social contract: a mathematician writes a proof, and other mathematicians check it. If the reasoning holds up, the result becomes part of the canon.…
"Pure software is rapidly becoming un-investable" But my pushback to this is that generating code was never the true bottleneck. When the cost of building something collapses, demand expands. Cloud…
7.0 posts/week
Posts / Week
1.1 days
Days Between Posts
7
Total Posts Analyzed
HIGH
Posting Frequency
535.9%
Avg Engagement Rate
STABLE
Performance Trend
65
Avg Length (Words)
HIGH
Depth Level
ADVANCED
Expertise Level
0.78/10
Uniqueness Score
YES
Question Usage
0.3%
Response Rate
Writing style breakdown
<start of post>
The era of the "wrapper" startup is officially over. But not for the reason you think.
It's not that OpenAI is "eating your features" by releasing new updates. It's that the cost of customer acquisition is now higher than the cost of building the model.
DISTRIBUTION > INTELLIGENCE.
We are seeing a massive shift in how AI companies are funded. Investors no longer care about your proprietary fine-tuning process. They care about your "workflow lock-in."
does this live where the user already works?
is the data generated here impossible to move?
can a frontier model replace this with a single prompt?
If the answer to the last one is yes, you're in the danger zone.
The winners won't be the ones with the best prompts. They will be the ones who own the interface where the work actually happens.
Own the seat. Own the workflow. Everything else is just a commodity.
<end of post>
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