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Documented path

John Resig

Researchers / independent engineers · Software/Tech · milestone at age 21 ·Field-leading
Selected age-relative milestone · age 21
Publicly released jQuery at BarCamp NYC in January 2006 at age 21; it became the most widely used JavaScript library.

Resig was born in Boston and started programming around age 13–14 with QBasic, learning HTML from a friend and books his father bought him for Christmas. He studied CS at RIT's Golisano College (2002–2009), conducting research on data mining IM networks with professor Ankur Teredesai and real-time collaboration with professor Jon Schull. He was a member of RIT's Computer Science House. Frustrated by cross-browser JavaScript inconsistencies as a student, he built jQuery in 2005 and released it at BarCamp NYC in January 2006.

Starting point

Born in Boston, Massachusetts, in 1984; early family class and parental background not documented in reviewed sources; studied computer science at RIT.

Current position (2025)

Chief software architect at Khan Academy; creator of jQuery and ukiyo-e.org; lives in New York's Hudson Valley.

Where the conditions came from

Three sources, read side by side

Each is placed on a −1 to 3 scale from documented evidence, and the three are never added together. A combined total would rank John Resig against other people. Held apart, they explain why this path ran differently from another one—which is the only comparison this project supports.

The marble itself

What they brought

+2Tailwind

What capability, drive, or early skill is documented in the person rather than their surroundings?

Started programming at 13-14 with QBasic, learned HTML from a friend and books his father bought for Christmas. RIT CS with research on data mining and real-time collaboration. Released jQuery at 21 in January 2006. Strong self-taught ability and prolific open-source output from a young age.

Where it was dropped

What they were handed

+1Tailwind

What money, family standing, network, or permission was already in place before the work began?

Born in Boston. Father supported his interest by buying two HTML books for Christmas. Middle-class family with supportive parents, but no tech domain overlap, wealth, or professional connections. RIT education indicates moderate family resources.

The shape of the track

What surrounded them

+1Tailwind

What place, timing, institution, or peer group made the next step available?

RIT Computer Science House (strong peer group), open-source community, and the Ajax/web platform wave. RIT is not an elite institution, and there was no notable mentor or frontier geography. The open-source community and web wave provided modest but real distribution.

A −1 is a documented headwind, not a missing value; a 0 means the sources record nothing notable either way. Annotation confidence: Medium. These are analyst readings of what the sources record, not measurements of merit, talent, or effort. The twenty-two scored dimensions remain available inside the deeper research detail.

What moved through the conditions

Perseverance and luck stay visible—not scored.

Documented perseveranceNot documented in the reviewed biographical summaries.

Silence in a biography is not evidence that perseverance was absent.

Structural luckHis early advantages were self-created technical depth, the open-source community, and the Ajax/web platform wave, not family capital or domain inheritance.

This is an unchosen opening or condition in the record, not an estimate of how much luck caused the outcome.

Open the legacy 22-field research annotation
How this path compounded
01 Starting advantages

5/24 starting-position score

Strongest documented signals: Early online platform, Elite institution pipeline, Frontier geography.

Describes the starting position, not what the person later made of it.

Cohort percentile: 19
02 Built or converted leverage

13/25 multiplying-capacity score

Strongest observed levers: Scarce skill depth, Domain proximity, Prior reps.

Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.

Cohort percentile: 54
03 Compounding trajectory

6 documented steps

The timeline below shows the sequence of work and transitions around the selected early milestone. It is evidence of a path, not proof that every step was necessary.

Milestone at age 21
04 Observed career standing

T2 · Field-leading

Dominant figure at the top of a field. The tier summarizes documented career recognition through the data cutoff—not John Resig's worth or future potential.

Question four · where did the leverage come from?

John Resig's leverage provenance

Each non-zero lever gets a best-supported origin, evidence signals, and confidence. Unresolved is the honest default when the biography cannot distinguish self-built, advantage-enabled, earned, external, or mixed.

Scarce skill depth3/3
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Elite institution pipeline (1/2)Early online platform (2/2)
Domain proximity2/2
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Direct domain exposure (1/2)Frontier geography (1/2)Elite institution pipeline (1/2)
Prior reps2/3
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Elite institution pipeline (1/2)Early online platform (2/2)
Structural wave / timing2/3
Externalmedium confidence

A structural wave is external to the person, even when their position improved access to it.

Frontier geography (1/2)Early online platform (2/2)
Concentration intensity2/3
Unresolvedlow confidence

No current annotation distinguishes self-built, enabled, or earned origins for this lever.

No decisive linked signal
Native distribution1/3
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Early online platform (2/2)Elite institution pipeline (1/2)
Elite ecosystem network1/3
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Elite institution pipeline (1/2)Frontier geography (1/2)

This is a bounded inference from the current annotations—not a claim about private effort, merit, or the percentage of John Resig's outcome attributable to any origin.

Luck is not a leftover score.

Structural luck, Encounter luck, Event luck, Outcome variance can change every arrow in the path. This successful-only dataset cannot observe the near-identical paths that did not break through, so luck stays visible and unscored.

Within Researchers / independent engineers, John Resig's starting-advantage total is at the 19th percentile. Separately, their built or converted leverage total is at the 54th percentile. Other T2 profiles average 7.8 / 24 starting advantage and 12.4 / 25 leverage. Similar scores appear in other tiers, so these figures describe positioning—not a cause.
Trajectory
  1. 2005 · age 21
    Began developing jQuery while a student at RIT to
    Address cross-browser JavaScript inconsistencies.
  2. 2006 · age 21
    Publicly released jQuery at BarCamp NYC in January
    Later published Pro JavaScript Techniques.
  3. 2007 · age 23
    Joined Mozilla Corporation as a JavaScript evangelist
    Tool developer.
  4. 2009 · age 25
    Graduated RIT with a BS in computer science
    JQuery won .Net Magazine Best Open Source Application award.
  5. 2011 · age 27
    Joined Khan Academy, later becoming chief software architect
    Building its interactive CS curriculum.
  6. 2012 · age 28
    Launched ukiyo-e.org, a large-scale Japanese woodblock print image-search archive
    For digital humanities.
Primary leverage engine
Scarce technical depth in client-side JavaScript
Scarce technical / intellectual depth
Secondary engine
Open-source distribution / platform wave
Built/converted leverage
13 / 25
evidence: High
Built or converted leverage

Multiplying capacity documented later in the path. Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.

Started serious reps before 20
0/1
Prior reps
2/3
Scarce skill depth
3/3
Native distribution
1/3
Elite ecosystem network
1/3
Complementary team
0/2
Structural wave / timing
2/3
Concentration intensity
2/3
Capital safety
0/2
Domain proximity
2/2
Starting-advantage scores (0–2 each)

Access or conditions documented near the beginning of the path. Zero means "no clear evidence in reviewed sources," not "advantage was absent."

Family financial platform
0/2
Parent / family domain
0/2
Inherited audience / network
0/2
Elite institution pipeline
1/2
Frontier geography
1/2
Rare early tools
0/2
Dedicated mentor / coach
0/2
Exceptional peer / cofounder
0/2
Early online platform
2/2
Direct domain exposure
1/2
Prodigy / innate ability
0/2
Adversity / constraint catalyst
0/2

Family context

Born in Boston, Massachusetts. Started programming around age 13–14 (~1997–98); his father bought him two HTML books for Christmas, sparking his web development interest. Studied CS at RIT (2002–2009) with concentrations in economics and psychology.

Parent / family domain

No specific parental occupation documented in reviewed sources; father was supportive of early computing interests, buying programming books, but no evidence of tech domain expertise in the family.

Archetype & tags
Platform-native compoundingRIT CS Houseopen-source communityAjax/web platform wavestudent project distribution
Evidence summary

Resig was born in Boston and started programming around age 13–14 with QBasic and HTML. His father supported his interest by buying him two HTML books for Christmas. He studied CS at RIT (2002–2009), where he was a member of the Computer Science House and conducted research on data mining and real-time collaboration. He created jQuery as a student in 2005–2006 to solve cross-browser JavaScript inconsistencies and released it at BarCamp NYC at age 21. No specific parental occupation or family domain expertise was documented. His early advantages were self-created technical depth, the open-source community, and the Ajax/web platform wave, not family capital or domain inheritance.

advantage confidence: Medium · source count: 4 · audit: source_verified · status: subagent_researched_beta

Sources
Related — same primary engine