battles / Analytics

Clicky vs DataFast

Clicky ($20/mo/mo, vibe code 6/10) vs DataFast ($9/mo/mo, vibe code 6/10). Clicky is the easier one to rebuild yourself — here is what you lose either way.

NICHE

Analytics

$20/mo/mo

Vibe code6/10
Moat2/10
MVP
1 weekend
Full replacement
3-6 months, due to high-throughput data ingestion optimization and heatmap aggregation at scale

easier to rebuild

get the build prompt →

Analytics

$9/mo/mo

Vibe code6/10
Moat7/10
MVP
weekend for the dashboard, multi-day to trust the numbers
Full replacement
weeks, not days
get the build prompt →

price gap / year

$132/mo

running both / year

$348/mo

our call

Start with Clicky — highest vibe code, weakest moat.

Clicky

Clicky's core value is ingesting JS beacon events and displaying real-time counters and heatmaps. A self-hosted lightweight alternative like Plausible or Umami can be deployed in minutes, making custom builds trivial for standard ecommerce traffic.

you can rebuild

  • Real-time pageview and visitor event tracking
  • DOM element click and interaction heatmaps
  • Referrer and geolocation traffic breakdown
  • Custom event tracking via JS API
  • Uptime and response time monitoring

what you lose

  • Managed high-throughput time-series infrastructure
  • Proprietary bot and crawler filtering algorithms
  • Out-of-the-box GDPR compliance without cookie consent banners
  • Long-term historical log retention management
  • Pre-configured legacy browser compatibility for tracking scripts

real moats

  • Scalable high-concurrency time-series data storage
  • Heuristic bot/spam traffic filter IP databases
  • Historical analytics data persistence

open source escape hatches

DataFast

The 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.

you can rebuild

  • Record pageviews with their UTM and referrer channel, bind the anonymous visitor to a customer at signup, then take Stripe webhooks and show revenue per channel.

what you lose

  • 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

real moats

  • integrations
  • scale-infra
  • execution-polish

open source escape hatches

Questions people ask

Which is easier to rebuild with AI, Clicky or DataFast?

Clicky. It scores 6/10 on vibe code with a moat of 2/10, so an AI-assisted MVP takes about 1 weekend and a full replacement about 3-6 months, due to high-throughput data ingestion optimization and heatmap aggregation at scale.

Which one costs less, Clicky or DataFast?

DataFast at $9/mo/mo for a typical mid-market store. The gap between the two is about $132/mo a year.

What do I lose if I replace Clicky?

Managed high-throughput time-series infrastructure Proprietary bot and crawler filtering algorithms Out-of-the-box GDPR compliance without cookie consent banners

What do I lose if I replace DataFast?

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

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