IDG Li Xiaojun's 52 Latest Aphorisms
Slow down, and think.
@Jing Liu
I first came across Sean Li because of a piece he wrote years ago called The People-Reading Research Report.
In something as mystical as reading people, here was someone finally attempting a scientific analysis. You can revisit the report here, but what left the deepest impression was the final line of its introduction: "Of course, you can always say it's wrong."
That sentence is quintessentially IDG. And quintessentially Sean Li.
As a partner at the firm, Li has always been known for his analytical rigor. In primary markets, outcomes are always ex-post. Summaries may not always matter, but they represent our attempt to combat uncertainty.
At the end of last year, he posted 52 reflections on his WeChat Moments — one for each week, and for all those years. As someone who has long "stalked" Li across his social media, I knew his thinking density far exceeded even that.
Sure enough, last night he posted a new "52."
These 52 points don't follow any strict logical sequence, but each carries its own flavor. Presumably they are self-aphorisms distilled from daily meetings, contemplation, and the positive and negative feedback of investing.
In this accelerated AI era, people must confront information and ideas that emerge at any moment yet may become obsolete just as quickly. This may be the most novelty-obsessed period in human history. But precisely for this reason, young people perhaps need this kind of thinking that forces you to slow down even more.
In these reflections, you rarely encounter top-down sermons. What you find instead is a professional dissecting how he continuously trains his judgment under imperfect information. In a sense, this is also the DNA of IDG itself. Li deconstructs what he considers the core capabilities of excellent investors, while also addressing how to recover gracefully from mistakes, and how to distinguish between "missing out" and "being wrong."
The AI world encourages open-source. The VC world needs more Sean Li-style open-source too.
Given the abundance of memorable lines, elsewhere won't unpack them one by one. We'll note just this: if the people-reading report from eight years ago represented Li's attempt to "read people methodologically," then his system has since evolved. In his early years he valued intelligence; later, he believed intelligence must be paired with authenticity; now, he places "genuine care" first.
Investing
What exactly is the secret of investing? Cognition? Experience? Vintage? Or the recently trendy "taste"?
Li says these are all laws of physics. What makes a quality investor is "connecting dispersed signals into more complete judgments." And his investment secret might approximate a formula, with each parameter hidden in the eleven aphorisms below.
1. In early-stage investing, seeing, picking, and winning are three mutually reinforcing core capabilities. Seeing means building reputation through trusted networks, high-quality content output, genuinely deep industry knowledge, and providing concrete help at company founding and across different stages — becoming the first person founders think of when they face critical problems. Picking means maintaining humility, acknowledging your cognitive biases, incomplete information, and outcome uncertainty, yet not letting these limitations erode your courage to decide — instead, continuously training judgment under imperfect information. Winning means understanding that being chosen by founders and getting the deal is only the beginning; winning does not equal success. True value must be proven through long-term partnership, continuously delivering on promises, and helping the company and founder grow at critical moments.
2. In public markets, understanding market sentiment and your own emotions is crucial. If you can execute well even when the two conflict, good outcomes may follow. For private investing, every industry has a best investment period — and the same holds for entrepreneurship. This is also why vintage matters. In retrospect, Chinese and American mobile internet companies all emerged in those specific few years, driven by smartphone penetration and bandwidth improvements.
3. Since "taste" became a thing — and taste is a subjective, pluralistic concept — investors can use it to defend anything. What they fear most is having their taste challenged. But even in art, as pluralistic and subjective as it gets, the works that ultimately endure are limited. How much more so in investing, where results so readily validate you? My definition of taste: an intuitive internal ranking ladder formed after seeing enough, and enough good, things.
4. Cognitive boundaries have limited value. Experience has some value, but beware of being trapped by the past — that becomes inertia. Logic is the reasoning process for a problem. Insight is scarce and valuable. Because it represents deep thinking about a matter, judgment must be cross-checked against personality, prior habits, track record, and incentive mechanisms. The correct sequence is "insight-logic-judgment." What you fear most is "logic-insight-judgment."
5. The "investing" in early-stage investing requires conviction, decisiveness, intuition. The "selling" in investing requires discipline, objectivity, rationality. The former may be art; the latter is where true capability shows. Without the latter, the loop never closes.
6. Scope, scale, time (timing), velocity, concentration — these are essential parameters in decision-making. These are laws of physics.
7. True knowledge of an industry manifests in: 1) sufficiently broad and deep networks within the industry, enabling access to the best information; 2) having invested in more than one successful project, including a representative project in the industry, as well as unsuccessful ones; 3) being able to monetize your industry knowledge in public markets too.
8. An investor's advantage often comes not from single-point expertise but from cross-domain inspiration: the ability to migrate patterns from one industry to another, connecting dispersed signals into more complete judgments.
9. Rhythm is the ability to calibrate between timing and time. Sometimes you cannot rush; sometimes you cannot delay. Sometimes you borrow momentum; sometimes you wait. Sometimes you must be more aggressive than the market; sometimes more conservative. Whether in investing or sports, true masters are not merely stronger or more accurate in judgment — they know better when to exert force and when to hold back. Both investing and entrepreneurship require mastering rhythm.
10. For thinking about an industry without much operating data to study, consider these dimensions: 1) ultimate market structure — winner-take-all or multiple winners; 2) industry stage (technology, commercial, capital); 3) industry ceiling and floor and their determinants; 4) requirements for excellent entrepreneurs.
11. "Fund size is your investment strategy." Running a fund versus building a firm are two different goals: one optimizes single-period returns, the other emphasizes long-term capability accumulation.
Reading People
Now, Li says what matters most is genuine care.
Intelligence can be screened for; authenticity can be verified. But whether someone truly cares about you — you only know when things go wrong. His approach to evaluating founders is also counterintuitive: the goal of conversation is not to find holes, but to help the other person discover things they haven't even realized about themselves.
Does this sound like investing? More like a way of building relationships. Perhaps in his system, these two things were never separate. He even offers a precise social architecture — 10 spiritual coordinates, 20 living conversation partners.
Relationships are not about quantity, but about the right people, sufficient duration, and enough intensity.
12. When evaluating a business, the goal of the conversation is not to expose flaws or demonstrate intelligence. It is to discover the strongest, most distinctive part of the person across the table — and, ideally, to uncover it together, even when the person themselves may not yet be aware of it.
13. I used to think intelligence mattered most in dealing with people. Later I felt it required intelligence plus authenticity, including paying attention during exchange. Now I believe what matters most is genuine care — care can be felt. Cognition, authenticity, attention, care.
14. Being able to build and maintain relationships entirely according to your own preferences and values is truly a luxury.
15. If you focus too much on the efficiency and intensity of exchange, you may miss what went unsaid or unaddressed — and how that information might amplify in the future.
16. If an expert explains knowledge in a field you don't understand, determine whether this is consensus or personal opinion; if the latter, how it differs from consensus. Knowing a person's credentials and what his expert field is is important to know what you can intake from him.
17. Two defining qualities for great entrepreneurs are: 1) scale of their ambition; 2) quality of their insights. Big ambition means they are mission-driven, not ego-driven, set a high bar for themselves and their team, show resilience, and continuously learn and improve. Great insights mean they really think deeply and independently, know what problems matter and why, have clarity and forward thinking, and understand the business structure and economics. While they will inevitably face setbacks, adapt, and make mistakes, these two qualities give them the determination and capabilities to navigate challenges and build long-term success.
18. In building relationships between investors and entrepreneurs, some rely on power (title, institution, resources), some on brain (cognition, judgment, insight). But even with both, truly effective long-term relationships come from heart — a genuine willingness to understand the other person, their motivations, their pressures, their dreams. Only this wins trust and builds true partnership.
19. 10/20: Build a list of 10 people who inspire and enlighten you. Do everything to find and understand their ideas and summaries (books, articles, podcasts, interviews). Cross-reference with your own thinking and experience. Improve yourself by internalizing their thought. Mine includes Stanley Druckenmiller, Patrick Collison, Paul Graham, Fred Wilson. Simultaneously maintain 20 people you can access and regularly exchange with — authentic exchange, mutual challenge, mutual advancement through dialogue. Age and industry irrelevant; hopefully every exchange yields something for everyone. This list can be updated, but not frequently. What matters is duration, intensity, and long-term accumulation.
20. The structure of top talent in an industry may have three factors: how many top talents the industry can accommodate, how concentrated they are, and whether peak positions come early and how long they last. Whether excellent young people continue to flow in is a key signal for judging industry heat and prospects. Follow the talent and follow the money. Whether top talent structure has solidified into a pyramid or remains in flux roughly tells you whether an industry has entered maturity or is still expanding and evolving.
21. Understanding and judging people requires sufficient samples and dimensions: industry, era, iteration speed, boundaries. Only then can you have good reference points to distinguish water level from true outlier.
Discipline
Is missing a project the same as investing in a wrong one?
Li says no. He even believes many misses are "rational correct execution under incomplete information." This distinction matters because it directly determines your next move — treat every miss as a mistake and you grow increasingly aggressive; distinguish acceptable misses from unacceptable ones and you can maintain judgment stability.
Following this thread, his demand for cognition is actually a system of discipline: when FOMO strikes, first clarify what you're actually afraid of; when listening to experts, first distinguish consensus from personal opinion; when feeling certain, flip it and ask what if I am wrong.
The quote he references perhaps captures it best — good judgment comes from experience, and experience comes from bad judgment. No shortcuts, only honest, repeated calibration.
22. "Pros make as many mistakes as amateurs; they've just learned how to gracefully recover from their mistakes."
23. "Missing out" and "being wrong" are two concepts. Missing out helps you better understand right and wrong. True objectivity and honesty is recognizing that what you missed was not necessarily wrong. Many misses are rational correct execution under incomplete information and personal disposition.
24. The key to FOMO is not fear — it's clarifying: what exactly are you missing out on? Many things, even if missed, ultimately don't matter. What's truly difficult is having the capacity to endure temporary embarrassment and torment, and distinguishing: which misses are acceptable, which truly cannot be missed.
25. My definition of a mature investor: being able to relatively objectively attribute past results; and being aware of your own personality and behavior without being overly driven by it. Success elevates taste; failure elevates floor; misses expand boundaries and courage.
26. Instead of betting on the future, a lot of people are betting on the past. People like to take action out of emotional reactions to the current facts attributed to some other's decisions years ago.
27. Not admitting defeat and not admitting mistakes are two completely different concepts.
28. If someone is too narrow, knowing their view on one thing tells you their view on everything else. If they don't progress, knowing their view three years ago lets you guess their view today. If you haven't revised any important views in recent years, perhaps it's time to reflect.
29. "Humility is mostly about being honest about how much you owe to luck. Curiosity is fatal to certainty. The more curious you are, the less certain you will be." Humility is not denying your capabilities, but clearly knowing: where should I continue learning, and where am I actually fine, where should I leverage these strengths.
30. Think more about "what if," "what if we're wrong," "what if what we think is right is actually really right."
31. Critical thinking means not criticizing, but identifying what is critical.
32. Many competitive, excellent people become mediocre not from lack of effort, but because they made "beating others" their goal rather than "refusing mediocrity" their boundary. Mediocrity is more terrifying than failure. For the highly competitive, being able to accept problems you discover is self-reflection; being able to delay reaction and "purify signals" from others is true maturity.
33. "External validation can destroy even the most disciplined mind." Much external validation is a lagging indicator, or based on inaccurate information and data.
34. "Good judgment comes from experience, which comes from bad judgment."
35. How to read depends on the type of book. For fiction, read immersively, let yourself be drawn in, experience and feel. Some business books advance a single argument throughout; these can be browsed relatively quickly, then understand the premise, applicable scope, and personal relevance of that argument. Some books reward repeated reading, not necessarily in chapter order — meant for the desk, to be picked up anytime, flipped through, finding the real resonance for this moment.
Mindset
Dancing while the music plays is not hard; what's hard is still standing there when the music stops.
Li uses this metaphor for how to situate oneself through cycles, but it goes deeper than "surviving the downturn." It's not about overcoming failure, but living with it. Most people's instinct facing adversity is to fight or flee; he offers a third option — stay in place, maintain rhythm, wait for the next beat.
Unexpectedly and charmingly, he also reflects on the relationship between content and contented, and cautions himself to moderate outputs.
36. If you're lucky enough to be on center stage and the music is on, keep dancing. Follow the rhythm. Lean forward slightly, but don't push too hard. If the music fades and the spotlight moves away, stay on your feet. Keep time quietly. Protect your balance, and wait for the next beat.
37. December 31 and January 1 have no essential difference; change is perhaps minuscule. Yet we still need such transition points. Not just annually — every day should have a "day one" mentality: reset the score, restart, shed the burden, accumulate again. Come on, once more. Perhaps the meaning lies not in breakpoints of outcome, but in repeatedly shedding burdens and re-accumulating. The difference lies not in whether you restart, but in whether you stay fresh, stay long.
38. Only by accepting clean failure can you prepare to win. Treat experience, especially the mentality of experiencing frustration, as part of existence — because coexisting with it rather than avoiding or overcoming it is the state of being.
39. Well-being without being is merely external success. With being, well can become true happiness. Well-being perhaps means just this.
40. The best feeling in the world is anticipation of that future certainty, and the self-demand that comes with this anticipation.
41. Some people keep optimizing, searching for optimal solutions, maximizing; some keep refining, improving, getting better every day. Neither is better or worse — ultimately it's about what work you want to leave behind. Make something wonderful and put it out there.
42. Sense of urgency and long-term patience can and should coexist, especially in today's AI-related investments.
43. Content is content, information; it also shares a root with contented (satisfied). In work and study, still focus more on inputs; outputs should be moderated.
44. Political science has a saying: success outside your sphere of influence is unsustainable; failure within your sphere of influence is unacceptable. Investing is the same.
AI
On AI, Li also offers many interesting threads. Such as "compounding orthogonally to AI," such as investors understanding people and defining problems while AI improves judgment quality.
But the most interesting one is this: the AI information we see today reflects decisions others made a year ago.
The AI era has arrived; every day we are bombarded with buzzwords from academia, model makers, or compute providers. Under anxiety, what's often overlooked is that these buzzwords are essentially results of decisions they made a year ago.
Are you worth letting expired information influence your judgment?
45. Use AI-generated summaries with caution, especially for potentially important material, because you risk the danger of "I got it." It's like supplements replacing meals — the important stuff requires time to digest before absorption.
46. Be especially cautious in dismissing an industry (what if?). An industry's ultimate structure determines whether to use index or cherry-picking investment logic; only then comes company-specific judgment.
47. For AI or other rapidly changing industries, the information we obtain today reflects decisions others made a year ago or longer. So don't easily make future judgments based on lagging yet fast-developing industry information; stay open-minded.
48. First-mover advantage only becomes significant advantage when started at the right time, because such advantages ride on the potential energy of industry change. In some industries latecomers may also have advantages — search, cloud computing.
49. Three types of businesses: 2C, 2B, 2G. Who pays matters greatly. 2C is concentrated — bet on the strongest team. 2B is hardest because customers buy rationally; unless you can standardize, see if you can achieve scale effects. 2G depends on whether you have monopoly resources, whether you fit strategic needs; will likely be multiple winners coexisting, at least stage-wise.
50. In the AI era, investors' core capabilities are understanding people, defining key problems, and using AI to improve judgment quality. Understanding people means identifying what is most unique (spiky) in a person, whether these can extend, and whether you can build trusted relationships with them. Defining key problems means finding the most core problems and their potential impacts in complex, changing environments. AI is an efficiency and thinking tool; you need to think about what can be leveraged and what should stay independent. How to make the three stack and produce orthogonal effects is the core.
51. Startup stages are increasingly determined by industry phase, breakthrough ideas, and founder quality rather than valuation.
52. Find factors orthogonal to AI to compound; identify AI-related factors to iterate at high frequency, at least at AI's frequency. The AI era favors those who can iterate and trial rapidly at high speed and those who can amplify tool capabilities.
Note: Some quoted viewpoints in the text are marked with quotation marks.
Cover image: Johannes Vermeer, Girl with a Pearl Earring, 1668, Musée du Louvre