Can I vibecode Grow or Die?
KINDA · weekend projectAn agent can build the honest personal version: a first-party tracker, a Stripe webhook, an OpenAI usage wrapper, and a SQLite join keyed by your own account ID. That is enough to show which customers make money. The paid product starts earning its fee when the inputs stop being tidy. Analytics exports drift, refunds arrive late, model prices change, streaming calls fail after consuming tokens, and anonymous visitors do not naturally become the same people who paid. A weekend build can give one founder a useful ledger for one stack. Matching Grow or Die's connector coverage, SDKs, missing-data discipline, retention, and production reliability is ongoing analytics infrastructure, not a prompt.
Build me a single-tenant AI contribution-profit dashboard for one product, replacing the narrow personal core of Grow or Die. Use Node.js 22, TypeScript, Fastify, better-sqlite3, and server-rendered HTML with no frontend framework. Run as one process behind Caddy; store everything in one SQLite file with a documented backup command. Ship a first-party browser tracker that records pageviews and product events with a random anonymous visitor ID. Add POST /identify so my app can bind that visitor ID to my own stable account_id; never use email as the join key. Verify Stripe webhooks for checkout.session.completed, invoice.paid, charge.refunded, and subscription deletion. Read account_id from Stripe metadata and store each payment or refund idempotently in an append-only revenue ledger. Provide a thin wrapper around the official OpenAI Node SDK that returns the provider response unchanged. The wrapper records account_id, model, token usage, cached input tokens, latency, status, and occurred_at. Never collect prompts, generated output, or the OpenAI API key; the key stays in .env and goes only to OpenAI. Keep model prices in a versioned JSON catalog with effective dates and calculate cost on the server. Join product events, revenue, and AI cost only by account_id and only across the same finalized 7, 30, or 90 day window. Never turn a missing payment, unknown model, partial import, or unmatched identity into zero. Show it as unknown. Dashboard: visitors, paying accounts, revenue, AI cost, contribution profit, margin, and a customer profit table. Every total links to the underlying ledger rows and shows source freshness, unmatched counts, and unpriced calls. Recommend one next action only when complete observed data supports it; otherwise recommend the missing connection or identity fix. Protect the dashboard with one admin bearer token from .env; add no accounts, billing, telemetry, cookies, or third-party analytics. Include clearly labelled demo data that can be deleted in one command and never appears after real data arrives. Write unit tests for webhook idempotency, identity joins, price effective dates, refunds, and unknown-state propagation. Add one end-to-end test that tracks a visitor, identifies an account, records a payment and model call, and shows profit. README: setup, tracker and identify snippets, Stripe CLI testing, SDK wrapper usage, deployment, backup, and limitations. Explicitly exclude GA4, PostHog, Lemon Squeezy, Anthropic, multi-currency, cross-device identity, teams, and automated model-price discovery. Run tests and a production build before finishing, and fix every failure.
$ open in your agent (prompt prefilled, you press enter) or copy it raw
prompt copied. want to know what dies next week?
new verdicts + top votes, weekly. free. one-click out.
A profit number is useful only when every input means the same customer and reporting window. Paying avoids maintaining analytics OAuth, payment webhooks, provider usage edge cases, model pricing, identity joins, retention, and the boring rule that missing data must stay missing.
xready-made GA4, PostHog, Stripe, and Lemon Squeezy connectors
xmaintained OpenAI and Anthropic pricing rules, including cached tokens
xseven language SDKs with streaming, failure, timeout, and cancellation tracking
xcareful unknown, unpriced, unmatched, and incomplete data states
xmanaged retention, backups, source health, and production reliability
Grow or Die pricing
founder$24.08/mo · $289 billed annually, equivalent to $24.08 per month · $288.96/yr
free tierThere is no permanent free tier; the Founder plan starts with a 7-day free trial.
verified 2026-08-10 · source ↗
Is Grow or Die free?
There is no permanent free tier; the Founder plan starts with a 7-day free trial. Paid is Founder at $24.08/mo (checked 2026-08-10).
Can I vibecode Grow or Die?
Kinda. The core of Grow or Die is buildable in a weekend with the prompt on this page, but there are real gaps: ready-made GA4, PostHog, Stripe, and Lemon Squeezy connectors, maintained OpenAI and Anthropic pricing rules, including cached tokens. Read the honest list above before committing.
How much does Grow or Die cost?
Grow or Die costs about $24.08/month (Founder, checked 2026-08-10), which is $288.96 per year.
What do I lose by replacing Grow or Die?
Honestly: ready-made GA4, PostHog, Stripe, and Lemon Squeezy connectors; maintained OpenAI and Anthropic pricing rules, including cached tokens; seven language SDKs with streaming, failure, timeout, and cancellation tracking; careful unknown, unpriced, unmatched, and incomplete data states; managed retention, backups, source health, and production reliability. If any of those are load-bearing for you, keep paying.
Is there an open-source alternative to Grow or Die?
Yes: PostHog (Open-source product analytics and LLM observability that covers two large pieces of the build), OpenMeter (Open-source usage metering infrastructure for turning model calls into auditable usage facts). Using prior art is also vibecoding; the prompt is for when you want it exactly your way.