∴ For startups
Run a growth experimentation program without hiring another growth engineer.
A small team should not need a separate growth-engineering queue to learn from its funnel. Trevo proposes and writes experiments while your team keeps control of the code review, merge, and product judgment.
mon connect repo · scan · 8 proposals writtentue approve two · PRs open on trevo/*wed review, merge · experiments livecost one seat, no new headcountrisk nothing ships without your review
How can a startup run A/B tests without a growth engineer?
With Trevo, the experiments are written by an agent instead of a hire. Trevo connects to your GitHub repository, reads the code behind your signup, checkout, and pricing, and proposes experiments with the evidence cited. Approving a proposal opens a pull request with the variant implemented behind a feature flag; your normal code review is the only gate. Results use always-valid sequential statistics sized for startup traffic — you can look at any time, and the losing variant is removed automatically. A founding team gets a running experimentation program for the cost of reviewing a few pull requests a week.
How it works
From an empty experimentation program to decided tests, with no one new on payroll.
Connect the repo
The Trevo GitHub App reads your code — routes, components, server logic, funnels — and writes the first proposals in minutes, before any SDK is installed.
Approve what makes sense
Proposals read like a growth engineer wrote them: hypothesis, mechanism, cited code, honest estimates. Approve the ones you believe; dismiss the rest.
Review the PR like any other
The variant is real code on a trevo/* branch with the test file included. Ten minutes of review replaces a week of implementation.
Let the stats call it
mSPRT sequential testing stays valid at low traffic and at every peek. Merge the winner; the cleanup PR removes the loser and the flag.
Built for the traffic you actually have
Fixed-horizon A/B math punishes small sites: you wait weeks for a sample size you never reach. Sequential testing reads evidence as it arrives, so tests conclude as early as the data allows — and tell you honestly when there is not enough signal.
- ✓Always-valid results — no peeking penalty
- ✓No fixed sample size to pre-register
- ✓Honest “not significant yet” instead of false confidence
exposed 2,314 visitorslift +11.2% checkout_completedstatus significant — safe to shipaction merge PR · cleanup opens automatically
One product surface, the whole stack
Startup wins usually live below the UI: the trial length, the seat limit, the rule that decides who sees the upgrade nudge. Because Trevo works in the repo, those are all testable — not just the button copy.
- ✓Server-side rules and limits as first-class experiments
- ✓Frontend, server-side, and full-stack surface tags
- ✓Works with Next.js, React, Node, and plain SPAs + APIs
export const TRIAL = { days: 14, // exp: fourteen vs twenty-one day trial days: variant === "long" ? 21 : 14, seats: 3,};
What this looks like in practice
Illustrative proposals of the kind Trevo writes for early-stage products — yours come from your own code.
Δ monetization
Fourteen- vs twenty-one-day trial
Test the trial length rule itself, server-side, instead of guessing in a pricing meeting.
measures → trial_started → paid conversion
Δ signup
Ask for the work email first
Split the signup form into two steps so the first commitment is one field, not six.
measures → signup_view → trial_started
Δ activation
Show the empty state as a checklist
Replace the blank dashboard after signup with the three actions your activated users all took.
measures → first_action → week-1 retention
Frequently asked questions
Is Trevo overkill before product-market fit?
Trevo is sized for exactly that stage: the free tier runs your first five experiments end to end, the scan is free, and sequential statistics work at startup traffic levels. The alternative is not a smaller tool — it is not experimenting at all.
We have no analytics set up. Can we still use it?
Yes. The scan and the first proposals need only your repository. To measure results, install the lightweight Trevo SDK — Trevo writes the setup pull request for you — or connect an existing PostHog project.
What does it cost compared to hiring?
Self-serve plans are a few hundred dollars a month; a growth engineer is a six-figure hire plus recruiting time. Trevo does the implementation half of that role, and your existing engineers keep the judgment half — review and approval.
Will it mess with our codebase?
It cannot ship anything on its own. Trevo writes only to trevo/* branches, every change arrives as a pull request through your review process, and concluded experiments are cleaned up by another pull request — the repo ends cleaner than most human-run flag rollouts.
How is this different from using AI coding assistants to write tests?
A coding assistant writes what you ask for, in your editor. Trevo runs the whole program: it finds the opportunities by reading your repo, writes the variant, wires exposure and metrics, runs always-valid analysis, and removes the losing code. The unit of work is a decided experiment, not a code suggestion.
Keep reading: Trevo for growth teams · Pricing experiments · Onboarding & activation experiments · GitHub + Trevo · Trevo vs Coframe
Bring Trevo one real funnel problem.
Connect the repo and the first proposals arrive in under fifteen minutes, each one naming the exact files a full-stack experiment would change. Not ready? A free scan previews the ideas on your domain first.