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What we collected · and how

The evidence base

Nothing on this site is opinion dressed as research. This page is what was collected, how, what it can and cannot support, and every claim Kendall could break.

⚠ Pre-human

No human has read a word of this. Machine output, published raw so the reasoning can be attacked before anyone polishes it. Judge the chain, not the copy — if a numbered step is wrong, say which.

What was collected

LayerVolumeMethod
Fund Recs site301 pagesFirecrawl
Published assets209 pages · 118/118 blog bodies · 1 whitepaper PDFFirecrawl
Client video transcripts4Northern Trust, Apex, Alchelyst, SuMi Trust — transcribed from open hubfs .mp4
Third-party coverage49 pagesFirecrawl + 59 manual fetches
Competitor pages467SmartStream 426, AutoRek 15, Duco 11, Xceptor 8, Gresham 7
Review listings21G2, Capterra, Gartner, Glassdoor, TrustRadius
Gated assets10 targeted3 full text, 4 partial, 3 blocked. No forms were submitted anywhere
LinkedIn feeds7Six companies + Meaney. Authenticated read
LinkedIn ad libraries375 adsSix searches, method validated against a known-positive
Structured store1,205 records · 7.7 MBDeduped; 599 duplicate URLs merged

Every record carries: url · domain · company · title · type · published_date · word_count · themes[] · mentions_ai · named_products[] · named_clients[] · quantified_claims[] · raw_path.

How

Two agents working in parallel with a clean split. One held the argument, one held the evidence store. Five Sonnet sub-agents ran the research legs; a Firecrawl crawler built the artefact store; an authenticated browser session read what no crawler can reach.

The one thing that made everything else possible was specifying quantified_claims as a field before the crawl ran. That single decision is what let us test — rather than assert — the claim that Fund Recs publishes fewer numbers than its competitors. It turned out to be false, and the field is why we found out.

Why it matters commercially

Kendall — pulling the claims apart

Every number on this site, attacked. If you're asked "how do you know", this is the honest answer.

ClaimStatusThe attack
depositary 142 : 1Weakest claim on the siteFund Recs has 423 records in the corpus; Duco has 58, only 13 with full text. The ratio is heavily inflated by crawl asymmetry — Duco's site is JS-rendered and under-captured. The direction is safe; the number is not. Never quote 142:1. Say "we found no depositary content from any competitor."
$10m ARR, 49% growth, 93% closeSelf-publishedA LinkedIn marketing post, unaudited. "PoC-to-close" is undefined — if a PoC only starts after heavy qualification, 93% is a selection effect, not a product signal. The whole comms plan rests on it.
ACV ~$154k · ~65 clientsModelledBuilt from "$10m ARR ÷ inferred client count", triangulated from "37 EMIR clients" and "40+ clients" across different years. Could be 40 clients at $250k or 100 at $100k — two very different companies.
16 PoCs per yearModelled on modelledDepends on the ACV above and an assumed 60/40 expansion split that nothing evidences. If expansion is 80% of growth the number is 7.
~1,545 buying units · 17–25% coverageDirectionalSegment populations are estimates from industry structure, not a count. "50–80 accounts per seller" is a rule of thumb. Both could be out by half.
Duco 344 ads, Fund Recs 0MeasuredSolid — same method returned 31 for Xceptor. But the zeros for SmartStream, Gresham and AutoRek are name-match failures, not confirmed absences. Don't say "only Duco advertises."
Xceptor ≈ $217k/yearDerivedArithmetic on their marketing ROI figures assuming IDC's three-year convention. Appearing in two independent cases raises confidence; it doesn't confirm it.
Josh Yeo / Channel CapitalPublished, staleChannel merged with Fidante in June 2026 — Channel Group, A$150bn. The case study describes a company ~7× smaller. He may not be in that seat.
Engagement mediansMeasured, thinn=24 for Fund Recs, "Top" sorted not chronological, ~4 months. LinkedIn's sort is not neutral.
AI models answer wronglySecond-handReported from testing, not re-run at time of writing. Model outputs vary by session and phrasing. Re-test before quoting.
RexSolidIndependently corroborated — absent from a 301-page crawl. The caveat that matters: it's customer support, not reconciliation. Overclaiming it would be worse than not using it.
$800k budgetBenchmarkWe don't know current spend. At ~10% net margin, $800k is roughly their entire net profit.
The honest split. The measured findings — staff function split, ad counts, Duco's price card, Rex's absence from 301 pages, the event calendar, the missing review listings, the live 2,000% error — are solid and independently checkable. The commercial model — ACV, client count, PoC volume, market size, budget — is a coherent strawman from one self-published financial post and standard benchmarks. Sell the first as fact. Sell the second as a hypothesis you want corrected.

What's missing

Built by Equalsfive from public sources only, 31 August 2026. No human has reviewed the copy on this site. Evidence base: content-corpus.jsonl — 1,205 records. Grades: measured counted or quoted · inferred derived from a small sample · domain industry practice, unverified.
Equalsfive · private

Fund Recs

Pre-human working papers. Not for distribution.