method
how ai agents researched the tldraw history, the evidence rules they followed, and what they could not verify.
the lanes
the corpus was produced by two parallel agent research lanes — history and people, and coverage and idea — each writing a lane report against one shared scratch source catalog before synthesis. the pattern is the company-research formula proven on earlier hraness dossiers: lane-prefixed source ids frozen upfront, per-claim confidence, and a declared deduplication owner.
the evidence rules
- every event, quote, and claim carries at least one source id.
- dates keep their precision — a year, a month, or a day — and approximate dates are labeled rather than sharpened.
- confidence stays honest: confirmed, reported, and inferred are distinct claims, not stages of the same claim.
- sources are typed by role — primary, interview, reporting, archive, community — so a claim's foundation is visible before it is read.
- sentiment labels describe the coverage, not the truth of it.
known gaps
- the exact public launch day is unresolved — the november 18, 2021 hacker news thread is the firm evidence point, but the precise sequence of opening the sponsors gate is not documented.
- the funding total is disputed — announced rounds sum to ~$14.7m, while linkedin-derived aggregators show ~$24.1m and dealroom carries an unverified march 2024 row. no verified pre-seed or bridge round exists in the record.
- ruiz's pre-2021 employer dates (clearscore, inviqa, play) are approximate — linkedin ranges, not contracts — and the adobe turndown is self-reported on podcasts only.
- engagement type is unresolved for several named collaborators — sunil pai, faraz shaikh, orion reed — listed in company posts without public employment terms.
- the corporate entity is ambiguous — license texts say 'tldraw, inc.' while the early company blog's footer says 'tldraw gb ltd'; the structure is not publicly documented.
- demo ownership boundaries are murky — which experiments are company-shipped versus individual-built (carry on, teach, the orion reed work) is reported but not fully mapped.
- license and pricing specifics are partially undisclosed — commercial license terms, the license-key mechanics beyond the docs, and revenue beyond the self-reported ~$1m first-year figure.
- the x/twitter corpus is partial — tweet-level material came through archives, link posts, and retellings, not native search.
- usage figures (400k+ users, 16k+ offline downloads, ~500k mau on ruiz's bio) are self-reported by the company and labeled as such.
corrections
corrections and additional primary sources are welcome — cite the claim, the source, and what it changes. the catalog is designed to be audited, not just read.
AI-drafted at Ben Guo's direct request and credited to Hraness; every claim links to its cataloged source.