¿Puedo vibecodear Grow or Die?
PARCIAL · un fin de semanaAn 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.
$ ábrelo en tu agente (prompt listo, tú das enter) o cópialo crudo
prompt copied. want to know what dies next week?
veredictos nuevos + votos de la semana. gratis. te sales en un clic.
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
Precio de Grow or Die
founder$24.08/mes · $289 billed annually, equivalent to $24.08 per month · $288.96/año
plan gratisThere is no permanent free tier; the Founder plan starts with a 7-day free trial.
verificado 2026-08-10 · fuente ↗
¿Grow or Die es gratis?
There is no permanent free tier; the Founder plan starts with a 7-day free trial. El plan de pago es Founder a $24.08/mes (revisado 2026-08-10).
¿Puedo vibecodear Grow or Die?
Parcial. El núcleo de Grow or Die se arma en un fin de semana con el prompt de esta página, pero hay huecos reales: ready-made GA4, PostHog, Stripe, and Lemon Squeezy connectors, maintained OpenAI and Anthropic pricing rules, including cached tokens. Lee la lista honesta arriba antes de comprometerte.
¿Cuánto cuesta Grow or Die?
Grow or Die cuesta unos $24.08/mes (Founder, revisado 2026-08-10), o sea $288.96 al año.
¿Qué pierdo si reemplazo Grow or Die?
Con honestidad: 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. Si alguno de esos te sostiene el negocio, sigue pagando.
¿Hay una alternativa open source a Grow or Die?
Sí: 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). Usar arte previo también es vibecodear; el prompt es para cuando la quieres exactamente a tu modo.