Source-First Technical Judgment
Learn a field from its primary sources and back its scientists to validate deals.
- Difficulty
- Advanced
- Time to result
- ~months to results
- Steps
- 5
- Confidence
- 79%
Judgment splits into two kinds: the timeless sort built from experience, mental models, microeconomics and game theory, and the timely sort that is specific to a field. The timely kind has a defined method. You dive into the field and learn everything as fast as possible, going to primary sources — research papers and scientific journals — rather than trade media, because technology is applied science and the press sits several steps downstream. In parallel, you invest in the smartest scientists in the space, treating those cheques as an investment in diligence capacity: even when the companies do not return money directly, the founders become the people who tell you which technologies are real, which scientists are credible, and who refer the next serious researcher your way. The caveat is calibration — technical people are unusually objective, but you still have to discount for occasional jealousy or unnecessary negativity.
Origin
Extracted from Naval — Naval Ravikant describes building his early cryptocurrency judgment by befriending and backing the scientists behind Zcash, Filecoin and Blockstack.
Core principles
- 01Timeless judgment comes from experience and mental models; timely judgment comes from field-specific knowledge.
- 02Trade press is downstream of the source — research papers are the source.
- 03Technology is applied science, so scientific literacy is the entry fee.
- 04Investing in the best scientists buys you diligence capacity, not just equity.
- 05Technical people are unusually objective because they answer to reality, not opinion.
How to run it
- 1
Separate timeless judgment from timely knowledge
Keep building the general layer — decision making, sizing people up, mental models, microeconomics, game theory — through experience and books that intersect science, business and philosophy. Then treat field knowledge as a separate, faster project.
Pro tip The general layer transfers between fields; the specific layer expires, so budget your time accordingly.
- 2
Go to the source, not the coverage
You will not become a great tech investor by reading trade press. Read the research papers where the work actually appears, and accept that this requires genuinely enjoying the act of learning science and technology.
Pro tip Brush up the mathematics you need so the journals are readable rather than intimidating.
Watch out If you do not actually enjoy the learning, this method will not survive contact with your calendar.
- 3
Invest in the smartest scientists in the space
Make early investments into the leading technical people, understanding that the return may come as judgment rather than as cash. These founders become your validation layer.
Pro tip Where they have the means, let them co-invest, make them advisors, or give them a small piece of the fund.
- 4
Use the network as your technical diligence
Route new deals through those relationships. They will tell you which technologies are real and which are not, and which scientists are credible and which are not — usually bluntly.
Pro tip The same network refers the best scientists back to you, which improves deal flow as a side effect.
- 5
Calibrate the feedback for human noise
Very technical people tend to be extremely objective because they correspond with the real world and with scientific results. Even so, apply your own judgment about when they are being unnecessarily negative or jealous.
Pro tip A pattern of negativity that survives across several independent technical contacts is far stronger evidence than any single opinion.
In the wild
Investing early into cryptocurrency companies, Naval became friends with Zuko Wilcox Hearn, who started Zcash, Juan Binet, who started Filecoin, Ryan Shea and Munib Ali, who started Blockstack, and also Eli Bensassoon, Andrew Miller and Bram Cohen, the creator of BitTorrent. These became his go-to people for vetting and validating deals — they told him which technologies were real, which ones were not, and which scientists were credible. The network also fed him referrals, since serious technical people tend to know and forward other serious technical people.
→ A technical diligence capability no amount of trade-press reading would have produced.
An investor considering a new machine-learning infrastructure company reads the founding team's published papers and the two competing papers they cite, rather than the launch coverage. That reading surfaces the one assumption the whole approach rests on, which the investor then puts directly to the two researchers in their network who work adjacent to it. Both flag the same weakness, independently. The deal is passed on for a specific technical reason rather than a vague feeling — and the investor's field knowledge is permanently better afterwards.
→ A pass grounded in a testable technical claim, plus compounding domain knowledge.
Common mistakes
Substituting trade press for primary sources
Coverage tells you what is already consensus. By the time an idea reaches the trade press, the informational edge that makes an early bet pay has usually gone.
Taking a single technical opinion as final
Technical people are objective more often than not, but jealousy and reflexive negativity are still human. Corroborate across independent contacts before acting.
Expecting the scientist investments to pay in cash
These cheques are bought primarily for validation capacity and referral flow. Judging them purely on their own returns will make you stop making them.
Is it for you?
Best for
Investors and operators entering a deeply technical field — deep tech, crypto, biotech — who need real evaluation capacity fast.
Not ideal for
Investors in non-technical categories where the decisive variables are brand, distribution or unit economics rather than science.
From the transcript
“You're not going to become a great tech investor by reading TechCrunch or Bloomberg News.”
“Technology is applied science.”
“If you can find a group of painfully honest and distinguished scientists and technologists to connect with, that will be a secret weapon throughout your…”
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