Board One-Pager

2026-07 · thirty metrics in five sections, every one with its definition on the page · synthetic data
Reporting period2026-07
SourceGoogle Sheet export (monthly_metrics.csv)
Rows19 months
ValidationPASS
Last refresh (UTC)2026-11-05 19:38
Source hashfb8bff7fc829
Management commentary — supplied by the preparer, not a calculated figure

July added 1.01 million dollars of new ARR against 668 thousand of expansion, so growth this month came from new logos rather than the installed base - the reverse of the June pattern. Nine new logos closed and three customers left. Ending ARR is 39.8 million dollars.

Gross retention softened. Churn of 232 thousand and contraction of 145 thousand together exceeded expansion, so the installed base contributed negatively before new logos are counted. The board should read the retention line as the weaker half of an otherwise strong month.

A 180 thousand dollar inference overage true-up from one customer was billed in July and is excluded from ARR. It is real revenue and appears in the revenue line; it is not a subscription commitment and would misstate both ARR and NRR if treated as expansion. Sales Operations classified it as an upsell in the CRM and the classification has been corrected for board reporting under FIN-POL-021 section 2.1. Commission and retention reporting owned by Sales Operations still treats the amount as expansion, and that difference is known, documented, and expected to persist until their next reporting cycle - it is a definitional difference, not an error in either system.

AI cost as a percentage of revenue continued to fall, which is the margin story the board asked to see tracked each month. Cost per thousand tokens benefited from a committed-use rebate received this month.

Runway is reported on trailing three-month burn. A single strong collections month would flatter the figure if it were computed on the latest month alone.

$21M$31M$41M25-0125-0425-0725-1026-0126-0426-07

Growth

MetricValueDefinition — the one this company uses
ARR$39.8MAnnualized run-rate of contracted recurring revenue at month end. Excludes one-time services.
Net new ARR (LTM)$12.6MEnding ARR minus ARR twelve months prior: new + expansion − contraction − churn.
ARR growth YoY46.0%Ending ARR over ARR one year ago, minus one. · ≥40% strong at this scale
Bookings (Q)$5.6MTotal contract value signed this quarter (TCV). Leading indicator; not revenue.
Billings (Q)$10.4MAmounts invoiced: revenue + change in deferred revenue. The cash-collection precursor.
Pipeline coverage (next Q)3.2xOpen pipeline over next quarter's new-ARR target. · ≥3.0x planning floor

Customer Health

MetricValueDefinition — the one this company uses
NRR (LTM)106.0%Chain-linked monthly: (expansion − contraction − churn) ÷ beginning ARR, installed base only — new logos excluded. · ≥110% strong
GRR (LTM)87.8%Same base, but expansion cannot offset losses. Ceiling 100%. · ≥90% strong
Logo churn (LTM)6.7%Chain-linked customer-count churn, annualized. · <10% strong
Customers336Active paying customers at month end.
ARPA$119KAverage revenue per account: ending ARR ÷ customer count.
Avg ACV (new, Q)$101KNew ARR this quarter ÷ new logos: the annual value of a newly signed contract.

Efficiency

MetricValueDefinition — the one this company uses
Burn multiple (LTM)0.48Net burn ÷ net new ARR: dollars burned per dollar of new recurring revenue. · <1.5 good, <1.0 strong
Rule of 4028 ptsYoY ARR growth % + FCF margin %. · ≥40 strong
Magic number (Q)0.92Net new ARR this quarter ÷ prior quarter's S&M. ARR is already annual — not annualized again. · ≥0.75 lean in
CAC payback21.8 moAll S&M ÷ (new ARR × GM ÷ 12): months of gross profit to repay acquisition. Conservative: charges all S&M to new logos. · <18mo acceptable
LTV : CAC9.7xFormulaic (ARPA × GM ÷ churn) ÷ CAC per logo. Stated as formulaic; treat with the suspicion it deserves — see revenue-cohorts for the empirical version. · >3x conventional
ARR per FTE$241KEnding ARR ÷ headcount. · ≥$200K strong

Financial Performance

MetricValueDefinition — the one this company uses
Cash$25.5MMonth-end cash and equivalents.
Runway49.6 moCash ÷ trailing 3-month average net burn. · ≥18mo comfortable
Gross margin (LTM)77.9%(Revenue − COGS) ÷ revenue. COGS includes AI inference, infra, support. · ≥75% strong for AI-native
EBITDA margin (LTM)-15.1%Revenue − COGS − opex, ÷ revenue. Before capex, SBC treated as cash here.
FCF (LTM)$-6.0MEBITDA − capex. Negative = burning.
Net burn (t3, monthly)$0.5MTrailing 3-month average of −FCF. The quotable burn number.

AI-Specific

MetricValueDefinition — the one this company uses
AI cost, % of revenue (LTM)9.1%Inference + model API spend ÷ revenue. The line that decides whether usage growth is good news. · watch the trend, not the level
GM after AI costs77.9%Gross margin with AI inference fully loaded in COGS — not adjusted out. · the honest GM
Cost per inference$0.0375Total AI cost ÷ inference calls, trailing quarter. · must fall as volume grows
Cost per 1K tokens$0.0110Total AI cost ÷ tokens processed, trailing quarter.
Tokens processed (mo)25.9BTotal tokens through the platform this month.
AI cost trend (12mo)-1.1%Change in AI cost as % of revenue, first vs last quarter of the LTM window. Negative = margin expanding. · negative is the story
Why the definition column exists: NRR, magic number, and CAC payback each have several defensible definitions, and a scorecard that doesn't state which one it uses will quietly disagree with someone else's deck within two quarters. LTV here is flagged as formulaic on the page itself — the empirical version lives in the revenue-cohorts project.