Pitching to: a partner at a seed fund writing $500k to $1M first checks into B2B software

product-coach

Product teams will pay for a reviewer that objects to their decisions before they ship and keeps score on whether it was right, because a verified record of calls and outcomes is the one asset neither a foundation model nor an experimentation platform can ship as a feature.

ConfidenceM. Demand is proven. The wedge is not, yet.
Kill pointWeek 8. A pre-registered backtest, published either way.
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The Case · 1 of 3

The window is twelve months, and the record cannot be backfilled

Two things became true in the last two years, and one window closes in twelve months.
Agents read live systems now, and platforms log outcomes well enough to grade the coach on a buyer's own history before they buy. Every quarter of read-outs that goes unrecorded is gone.
Buyer exists
$15 / seat
ChatPRD already sells AI coaching to PMs
Category flywheel
8 / 20
The incumbent's best score. Nobody keeps score on advice
Window
12 months
Before an experimentation platform ships native review
The Case · 2 of 3

The record is the asset, and only the join can build it

The record, not the advice. Every other copilot's corrections say a user changed the wording. Ours say the user was wrong, and the read-out proves it.
Statsig can ship a review step and probably will; Linear and Notion already hold the brief. The platforms see the outcome and never the decision, the workflow tools see the decision and never the outcome. The coach sits at the join, and the record of decision against outcome is what only the join can build.
Correction loop
4 / 5
The one loop that says the user was wrong
Freeze test
Only one grows
Cannot be bought, scraped or generated
Honest caveat
Design, not stock
Domain Context 1/5 today. Grading fixes it in Horizon 1
The Case · 3 of 3

94.9% margin, no sales team, and the first dollar waits for proof

94.9% gross margin at $9,000 per team per year, and no sales team in the plan.
$500 a month plus $60 per experiment reviewed. A review costs 0.7% of the $25,000 experiment it checks and prevents about $60,000 a year of avoidable spend. No subscription starts until the team's own backtest passes.
Cost to serve
$463
per team per year, 65% is onboarding
Inference ROI
78x
$116 of inference per $9,000 of revenue
Payback
1.7 months
Self-serve, from year two. 28.7 with a rep
Break-even
30 teams
At $250k founder cost, $8,537 contribution each
The Risks

The backtest kills it, not a competitor

Trust / Failure
The front page: the coach cites a precedent that never existed and a team kills a $25,000 test on it.

The catch: a fabricated citation always reaches a human and drops the product to decline-only. Bad model, silence, not confident error. Hallucinated citations under 1%, alert at 2%.

Not softened: the golden set is 10 rows, so the contract is not enforceable until 100. The coach has already been wrong once, by 9.2 points, and that miss stays in.
Scale / Governance
What breaks at 10x: not inference. Human onboarding, 65% of cost. Year one is capped at five hand-onboarded teams so year two can automate what the founder did by hand.

The posture: the coach argues and never acts. No write path into any customer system. Two decisions stay human: ambiguous read-outs and any prompt change, gated at 90% golden pass.

Named defect: the record does not yet feed the reasoning. Horizon 2, with its own kill rule.
Competitive
Honest: there is no competitive kill criterion, and it is better to say so than dress one up.

What kills us: not Statsig shipping review. The backtest failing, because a coach that is not better than the team loses to any native step closer to the data.

The gate: flagged experiments must succeed 20 points less often than unflagged, pooled across two or three named partners, about 36 flags, by week eight. One partner is a signal; the pool is the verdict. Under that, we stop and publish the miss.
The Roadmap

Four weeks gate the test, three months answer it

Horizon 1
Ship · 0 to 4 weeks · gates the backtest
  • Analytics connector, first partner's platform
  • Craft / context schema split
  • Override capture with a stated reason
  • Read-out delivery to the person who called it
  • Attribution grade on every read-out
  • Data-use, sub-processor and retention terms
  • +3 more, nine total
Horizon 2
Validate · 1 to 3 months · each with a kill rule
  • Pre-registered backtest, two or three partners
  • Ten buyer conversations at the stated price
  • Design-partner program, three to five teams
  • The record feeds confidence at review time
  • Cascade, 96% of requests to small models
  • CI gate on prompt changes, decline-only state
  • +5 more, eleven total
Horizon 3
Explore · 3 to 6 months · preconditions named
  • Pooled priors for a new account's first thirty days. The one to protect if budget is cut
  • Self-serve onboarding, year two
  • Monitoring add-on, only after the backtest passes
  • Private person layer, only once never-upward is in code
The Ask

$275k, one founder, sized so a kill is cheap

Funding
$275,000
Headcount
1 founder
Time horizon
12 months
Deliberately below your check size, so a week-eight kill is a cheap write-off rather than a fund story. Quarter one runs the backtest and publishes the result either way; if it fails, under a quarter is spent. If it passes, nine months build the loop and five paying partners at $9,000 each. $250k is a modelled founder cost, replaced with the real figure. No sales hire, in this round or the plan.

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