AnalyticsCAN I VIBECODE
DataFast?
BUILD FIRST
- One specific customer type and one primary use case
- A vertical slice that completes the main job without manual workarounds
- Visible limits, review steps, and a fallback when an external dependency fails
LEAVE FOR LATER
- Broad third-party integrations
- High-scale collaboration, syncing, and permissions
- Automation that can cause harm without human review
RESEARCH NOTES
What this tool actually does.
DataFast (datafa.st) is a privacy-friendly web analytics platform for founders, startups, and small teams. It focuses on business attribution rather than vanity pageview metrics, letting users connect payment providers (Stripe, LemonSqueezy, Polar, Shopify, WooCommerce, Paddle, Dodo Payments) to attribute revenue, MRR, LTV, subscriptions, upgrades, downgrades, cancellations, and churn to traffic sources. It tracks visitors, pageviews, sessions, referrers, campaigns, UTM parameters, devices, browsers, countries, regions, cities, and hostnames. Core features: simplified web analytics, revenue attribution, custom goals, conversion funnels, full visitor journeys from first click to conversion, and live visitor intelligence with a real-time API. It offers a cookieless script that avoids cookie banners but is less accurate for long-term attribution (identifiers rotate ~every 24h). Integrations
RESEARCHED BUILD PROMPT
Give this to your coding agent.
Build 'GrowthLens', a focused replacement for the DataFast web-analytics product. Workflow: a site owner installs a small JavaScript snippet (or cookieless variant) on their site; the backend ingests pageviews, sessions, referrers, UTM params, devices, browsers, and countries; the user connects a payment provider webhook (e.g., Stripe) so revenue, MRR, LTV, subscriptions, upgrades, downgrades, cancellations, and churn are attributed to traffic sources; the user defines custom goals and conversion funnels and views full visitor journeys from first click to conversion; a live dashboard shows real-time visitors and who is likely to buy; an API, CLI, and MCP server expose the same data for querying and management. Requirements: user-facing dashboard with web analytics, revenue attribution, goals/funnels/journeys, live visitor intelligence, and per-website/team settings; technical: event ingestion API, cookieless identifier rotation (~24h) with documented accuracy trade-off, payment-webhook revenue mapping, REST API + CLI + MCP server, and WordPress/Shopify/NPM embed snippets. Implementation: Node.js/Python backend with Postgres/ClickHouse for event storage, a lightweight embed script, and a web frontend; use an MCP server library to expose tools. Do NOT copy DataFast's brand, name, logo, copy, or UI; build an original interface. Out of scope: social mentions (X/Reddit), link attribution, multi-region scaling, and cookie-consent management. Include a README with setup steps, the cookieless accuracy limitation, and the note that this is an original, non-affiliated implementation inspired only by the product category and workflow.