Where do your KPIs actually rank? Benchmark growth, burn multiple, revenue efficiency, valuation, and employee productivity against a stage-and-sector cohort, and get a transparent read on your odds of pricing a round in the next 12 months. Two clearly labeled sources: ROSTER rows are real distributions computed live from the 1,959-company private-market roster; QL CALIBRATION rows are deterministic reference tables for the operating metrics no roster can see. Every percentile is explained — no black box, no stored data.
Fill what you have; every field is optional beyond sector and stage. Rows appear only for the metrics you provide.
Showing the invented demo company. Your form values stay in this browser only.
Bars run 0→100th percentile with ticks at the cohort's 25th / 50th / 75th. ROSTER = computed live from the private-company roster · QL CALIBRATION = authored 2026 reference quantiles. Inverted metrics (burn multiple) are direction-corrected: a higher percentile always means better positioned.
A transparent additive model: 35-point baseline, then every driver below moves it — the deltas always sum to the final score minus the baseline. Nothing hidden, nothing stored.
The full scoring table the drivers above are drawn from — so you can see exactly what would move your number before you change a single input.
| Driver | Best case | Good | Neutral | Worst case |
|---|---|---|---|---|
| Growth percentile (vs stage calibration) | ≥75th: +14 | ≥50th: +7 | ≥25th: 0 | <25th: −10 |
| Burn multiple (profitable: +6) | ≤1×: +8 | ≤1.8×: +5 | ≤2.8×: 0 | ≤4×: −6 · >4×: −12 · no growth: −14 |
| Runway (no burn: −4) | <9mo: +9* | 9–15mo: +5 | 15–24mo: 0 | >24mo: −8 |
| Net revenue retention | ≥120%: +6 | ≥105%: +3 | ≥95%: 0 | <95%: −6 |
| Sector heat (cohort 18-month raise share) | ≥45%: +8 | ≥30%: +4 | ≥15%: 0 | <15%: −5 |
| Late-stage scarcity (Series D+ / Growth) | — | — | earlier stages: 0 | D+ / Growth: −8 |
*Low runway raises the probability a raise happens — because it must — while destroying negotiating leverage. That asymmetry is the single most misread number in fundraising, which is why the caveat sits next to the dial. Scores clamp to 3–92; a visible "Probability cap" driver absorbs any clamp so the arithmetic always reconciles.
Two deliberately simple roster methods — cohort valuation-per-employee quartiles × your headcount, and cohort valuation-to-raised multiples × your total raised — intersected into one band. A quartile transfer from the tracked universe, not an appraisal.
Source label on benchmark rows: QL CALIBRATION (ql_calibration_2026). Burn multiple reads inverted — p10 is the best decile, p90 the worst.
| ROSTER | QL CALIBRATION | |
|---|---|---|
| What it is | Live distributions computed from the 1,959-company private roster at request time | Deterministic quantile tables authored from published 2025–26 operating benchmarks |
| Covers | Valuation, total raised, headcount, age, capital velocity, valuation/employee, sector heat | Growth, burn multiple, NRR, gross margin, ARR per FTE |
| Bias to know | Tracks well-known names — skews later and larger than startups at large | Editorial ranges, not measurements — anchored to public benchmark studies |
| Why split | Real is better than modeled where real exists | No private roster carries clean operating metrics — pretending it does would be fabrication |
Anonymous by design — your inputs travel in one HTTPS request, get benchmarked in memory, and are returned. No database write, no server-side log of your numbers, no account linkage of metrics. The only copy that persists is the form cache in your own browser (localStorage), which you can clear any time.
Roster rows — valuation, total raised, headcount, company age, capital velocity, and valuation-per-employee percentiles are computed live from the 1,959-company private roster. Cohorts take your sector (same canonical sector as Founder Match) at your stage band ±1; under 25 names the cohort relaxes to all sectors at your stage and says so. Percentiles are strict-below, so ties never inflate your rank. Note the honest caveat: the roster tracks well-known names, so "50th percentile" means the tracked universe — which skews later and larger than startups at large.
QL calibration rows — growth, burn multiple, NRR, gross margin, and ARR/FTE have no roster source, so they read against deterministic quantile tables authored from widely published 2025–26 SaaS and venture benchmarks (the Reference tab shows every number). Burn multiple is inverted — lower is better — and its percentile is direction-corrected before it touches the composite.
Composite & odds — the peer percentile is a weighted median of the graded axes (growth and burn count double). The fundraising probability is a 35-point baseline plus signed, explained drivers that always sum to the final score; it clamps to 3–92 because no additive model earns certainty. Low runway raises the probability — a raise becomes necessary — while the caveat spells out what necessity does to leverage.
What this is not — a valuation opinion, investment advice, or a prediction market. It is a mirror: your numbers against a labeled cohort, every step shown.
Educational research tool. Benchmark percentiles, probability scores, and implied bands are computed from the inputs shown, public roster data, and authored calibration tables; they are not investment advice, a valuation opinion, or a guarantee of fundraising outcomes. The demo company is invented and carries no relation to any real firm. QuantLogix is not a registered investment advisor or broker-dealer.