battles / Search

Fast Simon vs Wizzy

Fast Simon ($300/mo/mo, vibe code 6/10) vs Wizzy ($199/mo/mo, vibe code 6/10). Wizzy is the easier one to rebuild yourself — here is what you lose either way.

Search

$300/mo/mo

Vibe code6/10
Moat4/10
MVP
1-2 weeks
Full replacement
9-18 months
get the build prompt →
NICHE

Search

$199/mo/mo

Vibe code6/10
Moat2/10
MVP
1 week
Full replacement
2-3 months, due to low-latency indexing, synonym tuning, and clickstream analytics aggregation

easier to rebuild

get the build prompt →

price gap / year

$1,212/mo

running both / year

$5,988/mo

our call

Start with Wizzy — highest vibe code, weakest moat.

Fast Simon

Building a fast search bar with Typesense or Algolia takes hours, but Fast Simon is not just a search box. It is a visual merchandising suite with drag-and-drop product pinning, inventory-driven ranking, and edge caching for high-scale Shopify stores.

you can rebuild

  • Typo-tolerant product title and SKU search
  • Multi-facet collection filtering (price, color, size, vendor)
  • Basic instant search autocomplete dropdown widget
  • Synonym and antonym query mapping tables
  • Zero-result query tracking analytics

what you lose

  • Pre-built Liquid and Hydrogen theme components for Shopify storefronts.
  • Visual drag-and-drop grid interface for non-technical merchandisers to manually position products.
  • Out-of-the-box integrations with mobile app builders like Tapcart and review apps like Yotpo/Okendo.
  • Automatic out-of-stock product push-down logic and dynamic inventory-based ranking algorithms.
  • SLA-backed global edge infrastructure designed for Black Friday traffic loads.

real moats

  • Visual merchandising workflow adoption by merchant merchandising teams who refuse to write code or query rules.
  • Ultra-low latency edge infrastructure tuned for sub-50ms search-as-you-type responses globally.
  • Battle-tested catalog syncing engines that do not drop inventory states during mega-sale traffic spikes.

open source escape hatches

Wizzy

Wizzy provides fast search, auto-suggestions, smart filters, and basic recommendation widgets. You can build an equivalent system by plugging an open-source engine like Typesense or Meilisearch into your store webhooks and frontend UI components.

you can rebuild

  • Typo-tolerant instant search and autocomplete overlay
  • Dynamic faceted navigation filters (category, brand, price, color)
  • Vector-based semantic search for broad intent queries
  • Basic 'Frequently Bought Together' and 'Similar Products' widgets
  • Custom merchandise ranking rules (pin, hide, boost specific SKUs)

what you lose

  • Turnkey Shopify / Magento app installation and instant Theme setup
  • No-code visual merchandising dashboard for non-technical store managers
  • Pre-tuned clickstream recommendation models out of the box
  • Zero-maintenance hosted infrastructure for search index scaling
  • Built-in zero-result query analytics reporting

real moats

  • Turnkey integration ecosystem for zero-code merchant onboarding
  • Low-latency global edge network setup for instant search delivery

open source escape hatches

Questions people ask

Which is easier to rebuild with AI, Fast Simon or Wizzy?

Wizzy. It scores 6/10 on vibe code with a moat of 2/10, so an AI-assisted MVP takes about 1 week and a full replacement about 2-3 months, due to low-latency indexing, synonym tuning, and clickstream analytics aggregation.

Which one costs less, Fast Simon or Wizzy?

Wizzy at $199/mo/mo for a typical mid-market store. The gap between the two is about $1,212/mo a year.

What do I lose if I replace Fast Simon?

Pre-built Liquid and Hydrogen theme components for Shopify storefronts. Visual drag-and-drop grid interface for non-technical merchandisers to manually position products. Out-of-the-box integrations with mobile app builders like Tapcart and review apps like Yotpo/Okendo.

What do I lose if I replace Wizzy?

Turnkey Shopify / Magento app installation and instant Theme setup No-code visual merchandising dashboard for non-technical store managers Pre-tuned clickstream recommendation models out of the box

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