Investor updates at pre-seed

The update format survives pre-seed intact — what changes is the metrics block. With no revenue to report, cash, burn, and runway carry the numbers, and a learning metric takes the lead: the one figure that proves this month’s hypothesis is getting tested.

What changes when there’s no revenue

The seed-stage version of the format leads with MRR because MRR is the story. At pre-seed the story is different — you’re spending a small pile of money to find out whether something is true — so the update leads with either the survival math or the learning, and MRR’s slot in the block goes to the metric that measures the learning.

The survival math stays non-negotiable: cash on hand, net burn, runway, every month. If those three numbers make you hesitate, how to calculate startup runway covers the honest version and the free runway calculator (no signup) turns cash and burn into a runway number and zero-cash date in thirty seconds.

The learning metric

Pick one number that measures progress on the current hypothesis — not five. If the hypothesis is “founders will use this weekly,” the metric is weekly-active pilot teams. If it’s “this problem is widespread,” it’s design-partner interviews completed. The sample company from these guides, fourteen months before its seed-stage April, reported exactly that shape:

Cash $410,000 · Net burn $22,000 · Runway 18.6 months · Design-partner interviews: 11 · Weekly-active pilot teams: 4

A learning metric changes as your hypothesis does — that’s expected, and it’s the one sanctioned exception to the frozen- definitions rule. When you swap it, say so and say why: “Interviews are done proving the problem; the metric that matters now is weekly-active pilots.” That sentence is itself evidence of progress.

Angels vs institutional expectations

Angels read as people: shorter is better, momentum and asks matter most, and a personal line doesn’t hurt. Institutional pre-seed funds read as future series-A references: they notice whether your definitions hold month to month and whether the numbers reconcile — the discipline habits covered in the main guide. The good news is that one update serves both, because the format is the discipline: angels get the two-minute read, funds get the frozen definitions, and you write it once.

Length and frequency at pre-seed

Monthly, and shorter than you think — 250 to 300 words plus the block is plenty. Pre-seed months are high-variance; monthly cadence keeps any single month from carrying too much narrative weight, and the update is cheap to write precisely because there’s less to report. This is also when the cadence habit is easiest to build, and it pays forward: your first investor update sets the pattern, and every update after collects on it.

A pre-seed month, worked

The whole update, in the house shape:

Fourth pilot team went weekly-active — 18.6 months of runway to find the fifth.

What changed: interviews wrapped (11 total); the metric that matters now is weekly-active pilots. Burn steady at $22k.

What won. Pilot #4 went weekly-active in its second week — the fastest yet, and the first from a cold intro rather than our network.

What’s hard. One earlier pilot went quiet after onboarding; we’re doing the exit interview this week to find out whether it’s the product or the champion.

What we need. Intros to two more teams matching the pilot profile — 5-to-20-person startups where the founder still runs reporting.

Headline leads with the learning metric and the runway consequence; the hard section names the quiet pilot instead of hiding it; the ask is bounded and scannable. The same skeleton as the two-minute template — only the numbers changed shape.

Questions