ecomrestack

battles / Search

Fast Simon vs Typesense

Fast Simon ($300/mo/mo, vibe code 6/10) vs Typesense ($50/mo/mo, vibe code 6/10). Typesense is the easier one to rebuild yourself — here is what you lose either way.

Fast Simon
NICHE

Search

$300/mo/mo

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

Search

$50/mo/mo

Vibe code6/10
Moat3/10
MVP
2 weeks
Full replacement
12-24 months, due to complex low-level memory indexing and Raft consensus mechanics

easier to rebuild

get the build prompt →

price gap / year

$3,000/mo

running both / year

$4,200/mo

our call

Start with Typesense — 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

Typesense

Typesense is a native C++ engine with Raft consensus, memory-mapped data structures, and sub-50ms latency. Rebuilding its low-level search algorithms via an AI prompt is impractical; self-hosting the official open-source binary or using Postgres FTS is the sensible path.

you can rebuild

  • Basic keyword matching and filtering
  • Simple category and price range faceting
  • Basic autocomplete API endpoint
  • Synonym mapping table
  • Basic vector search wrapper via pgvector

what you lose

  • Sub-50ms C++ memory-indexed search response times
  • Built-in Levenshtein distance dynamic typo tolerance
  • Raft-based multi-node high availability clustering
  • Hybrid search blending BM25 with vector embeddings out of the box
  • Geosearch, grouping, and complex multi-field curations

real moats

  • Low-level C++ performance optimization and minimal RAM footprint
  • Battle-tested Raft consensus implementation for distributed clustering
  • Permissive dual-use ecosystem with rich client SDKs across languages

open source escape hatches

Questions people ask

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

Typesense. It scores 6/10 on vibe code with a moat of 3/10, so an AI-assisted MVP takes about 2 weeks and a full replacement about 12-24 months, due to complex low-level memory indexing and Raft consensus mechanics.

Which one costs less, Fast Simon or Typesense?

Typesense at $50/mo/mo for a typical mid-market store. The gap between the two is about $3,000/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 Typesense?

Sub-50ms C++ memory-indexed search response times Built-in Levenshtein distance dynamic typo tolerance Raft-based multi-node high availability clustering

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