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@unknown
@pmarca Can you give us your list of your favorite practitioners?
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Community Sentiment Analysis
Real-time analysis of public opinion and engagement
Sentiment Distribution
78% Engaged
69% Positive
Positive
69%
Negative
9%
Neutral
22%
Key Takeaways
What the community is saying — both sides
Supporting
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Endorsement of the 1/4 information diet — many replies cheer the split
1/4 X for real‑time signal, 1/4 podcasts for practitioner depth, 1/4 AI for synthesis, and 1/4 old books for Lindy wisdom; readers call it a high‑leverage, discipline‑driven protocol worth copying.
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Requests for concrete examples — dozens ask for specific books, podcast episodes, practitioner names, and which AI models to use, signalling hunger for actionable reading/listening lists rather than abstract prescriptions
Requests for concrete examples — dozens ask for specific books, podcast episodes, practitioner names, and which AI models to use, signalling hunger for actionable reading/listening lists rather than abstract prescriptions.
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Tooling and agents are central — people share custom stacks (Feynman, Grok, OpenClaw), cron jobs, and continuity infrastructure so agents remember past chats; the recurring theme is automating summarization and persistent context
Tooling and agents are central — people share custom stacks (Feynman, Grok, OpenClaw), cron jobs, and continuity infrastructure so agents remember past chats; the recurring theme is automating summarization and persistent context.
4
Efficiency and opportunity cost — many argue traditional media and TV are being cut because the time value of attention has risen; substitutions include AI summaries, selective audiobooks, and prioritized deep work
Efficiency and opportunity cost — many argue traditional media and TV are being cut because the time value of attention has risen; substitutions include AI summaries, selective audiobooks, and prioritized deep work.
5
Practical workflows — common patterns
transcribe podcasts → feed to LLM for 3‑paragraph summaries; convert books into chat‑able databases; ask models to synthesize across sources and surface follow‑ups.
6
Caveats about echo chambers and homogeneity — several replies warn that heavy reliance on models and curated feeds risks everyone sounding the same and missing grassroots or non‑digitized insights
Caveats about echo chambers and homogeneity — several replies warn that heavy reliance on models and curated feeds risks everyone sounding the same and missing grassroots or non‑digitized insights.
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Requests to stress‑test thinking — many recommend prompting AI to argue against your view (steelman/antithesis) and to preserve agents with memory so deliberation compounds over time
Requests to stress‑test thinking — many recommend prompting AI to argue against your view (steelman/antithesis) and to preserve agents with memory so deliberation compounds over time.
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Diverse content mentions — frequent shoutouts to Lex Fridman, All‑In, Peter Attia, Musk interviews, Durant, Asimov, Goldratt, Le Guin, and sci‑fi authors (Suarez, Hertling); people also suggest adding old papers, primary data, and scripture for depth
Diverse content mentions — frequent shoutouts to Lex Fridman, All‑In, Peter Attia, Musk interviews, Durant, Asimov, Goldratt, Le Guin, and sci‑fi authors (Suarez, Hertling); people also suggest adding old papers, primary data, and scripture for depth.
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Individual variation — users tweak proportions (some favor podcasts or X more), add primary sources (earnings calls, Fed minutes), or keep physical books; the rule is curated rigor, not a rigid formula
Individual variation — users tweak proportions (some favor podcasts or X more), add primary sources (earnings calls, Fed minutes), or keep physical books; the rule is curated rigor, not a rigid formula.
10
Enthusiasm with a sense of urgency — the replies are largely affirmative and aspirational
readers feel this stack is a competitive edge and many plan to adopt or refine it immediately.
Opposing
1
Many replies mock the idea that passive information consumption is valuable, urging a shift toward creating and calling out the opportunity cost of endless scrolling and forwarded “thought leadership
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2
A large number of people confess to shallow habits — doomscrolling, memes, podcast multitasking and short attention spans — and mourn the loss of deep reading or focus
A large number of people confess to shallow habits — doomscrolling, memes, podcast multitasking and short attention spans — and mourn the loss of deep reading or focus.
3
Several responses warn about personal harm
readers urge more face‑to‑face human time, family presence and self‑care instead of burning out chasing productivity theater.
4
AI and model use split opinion
some boast about direct access to models and agents, others caution that models are trained on noisy Reddit content and advise against trusting them blindly.
5
There’s playful self‑deprecation and humor throughout — jokes about porn, Ayahuasca, Zomato deals, and grandchildren — which undercuts the seriousness and keeps the thread light
There’s playful self‑deprecation and humor throughout — jokes about porn, Ayahuasca, Zomato deals, and grandchildren — which undercuts the seriousness and keeps the thread light.
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Critics call the original framing “cargo cult” advice, saying mimicking billionaires won’t translate to real success for most people and may foster unhealthy comparison
Critics call the original framing “cargo cult” advice, saying mimicking billionaires won’t translate to real success for most people and may foster unhealthy comparison.
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Practical gripes include the inefficiency of tasks like reading resumes, long podcasts, and pointless managerial rituals (expensed dinners, recycling articles to justify reorgs)
Practical gripes include the inefficiency of tasks like reading resumes, long podcasts, and pointless managerial rituals (expensed dinners, recycling articles to justify reorgs).
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A few replies push for simple remedies
“touch grass,” talk to your partner, and prioritize human conversation over contrived productivity hacks.
Top Reactions
Most popular replies, ranked by engagement
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@unknown
I’ve been doing something similar. But instead of reading every book cover to cover like before, I built a small tool called Feynman that turns books into chat-able databases. Now I learn about books more through chatting with them. Often I start with a topic, and Feynman pulls insights across multiple books to answer it. It makes reading much more efficient and helps surface other valuable books to build a knowledge map. https://t.co/B6iKGIKXAJ
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@unknown
@pmarca bro is allergic to a normal conversation with a person who isn't trying to raise a seed round
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@unknown
@pmarca I made this list for you so you get just the best AI news fast. https://t.co/wAjs9SAZfe
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@unknown
Mine is 1/4 reading employee Slack channels for termination intel, 1/4 LinkedIn stalking my own reports to see who's interviewing, 1/4 forwarding "thought leadership" articles to justify the reorg I already decided on, and 1/4 expensing business dinners that are just me eating alone at Nobu. The opportunity cost of reading a single resume is far too high. That's what the $190k/yr recruiter is for.
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@unknown
@pmarca Please do not talk to AI models. They've been trained on Reddit posts and are about as reliable
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