Replace DataFast?
KINDA ยท weekend projectThe pageview half of DataFast is the same weekend build as Plausible or Umami. The revenue half is where it stops being a weekend. Attribution is only worth anything if the anonymous visitor who found your launch post on a phone is still recognisably the customer who pays from a laptop three weeks later, and that stitching is exactly what an agent will hand you a naive version of. A localStorage id plus an email match at signup does get you a channel table that is directionally right for a single-domain solo product, which is genuinely worth having. It also quietly under-counts every cross-device path, every privacy browser that clears storage between visits, and every customer who pays with a different address than they signed up with. You can build the dashboard in a weekend. Trusting it enough to move ad spend is the part that keeps costing you weekends.
Build me a revenue attribution dashboard for one site, to replace DataFast. Requirements: - Node + Express + better-sqlite3, one process behind Caddy on my own VPS. Server-rendered pages, no frontend framework, no build step. - A tracker snippet under 2 KB: navigator.sendBeacon sends path, referrer and any utm_* params, keyed to a first-party visitor id in localStorage. No third-party cookies. - Attribution is the whole point. Per visitor store first-touch and last-touch channel, from utm_source/utm_medium/utm_campaign, else by parsing the referrer host into google / x / reddit / hn / direct. Never overwrite first-touch. - An /identify endpoint I call after signup with the user's email, which binds the anonymous visitor id to a customer row. - A Stripe webhook for checkout.session.completed, invoice.paid and customer.subscription.deleted: verify the signature, match on email, write revenue against that visitor. Webhook secret and API key from .env. - Dashboard on localhost behind one bearer token from .env: a channel table with visitors, signups, customers, MRR and revenue per visitor over 7/30/90 days. Tables and one inline SVG bar chart, nothing else. - Drop known bots against a user-agent blocklist before anything is counted. No accounts, no telemetry, one SQLite file I can copy off the box. - Out of scope: cross-device identity stitching, multi-touch models, the live visitor feed, purchase-likelihood scoring, team seats and an MCP server. One domain, single-touch, single-device. - README: the script tag, the /identify call, `stripe listen` for testing webhooks locally, and an honest paragraph on where the numbers lie ยท a phone-to-laptop journey counts as two visitors, cleared localStorage counts as a new one, and a customer who pays from a different address never matches at all.
$ open in your agent (prompt prefilled, you press enter) or copy it raw
An attribution number you do not trust is worse than no number, because you spend against it. Paying keeps someone else maintaining the bot filters, the Stripe and Shopify connectors and the retention window while you sell, and at $9 a month that is cheaper than the weekend each quarter you would spend keeping your own version honest.
xidentity stitching across devices, browsers and cleared storage
xbot and AI-crawler filtering that stays current without you
xone-click installs for Shopify, Webflow, WordPress and 20 other platforms
xthe live visitor feed and purchase-likelihood scoring
xthe hosted MCP server and CLI for querying the data in plain English
What does the DataFast verdict mean?
The core job looks buildable, with meaningful gaps: identity stitching across devices, browsers and cleared storage, bot and AI-crawler filtering that stays current without you. Read the full tradeoff list before committing. This research record is not a hosted IVCIFY tool.
What price does this directory record show for DataFast?
The directory records $9/month for Starter, checked 2026-08-02. Verify the source before making a purchase decision. This reference stays outside retail Stack Math unless current matched evidence supports the comparison.
What do I lose by replacing DataFast?
Honestly: identity stitching across devices, browsers and cleared storage; bot and AI-crawler filtering that stays current without you; one-click installs for Shopify, Webflow, WordPress and 20 other platforms; the live visitor feed and purchase-likelihood scoring; the hosted MCP server and CLI for querying the data in plain English. If any of those are load-bearing for you, keep paying.
Is there an open-source alternative to DataFast?
The listed prior art includes PostHog (Open source and self-hostable, with revenue analytics and channel attribution already built), Plausible (Open source analytics with goals and revenue goals; the Stripe join is still yours to write), Umami (Lightweight self-hosted analytics with UTM tracking and no revenue side at all). Inspect those projects before starting from a blank prompt.