Software Alternatives & Startups

Andi VS ViewForge

Compare Andi VS ViewForge and see what are their differences

Andi

Andi is the next gen search engine that finally solves the spam problem.

No screenshot yet
Rating
0 reviews
ViewForge

Year/Make/Model fitment search for Shopify. 8 verticals, Smart Parse, and your data in Shopify metaobjects — not a vendor database. Free tier, Pro at $49.

Rating
0 reviews
Pricing
Freemium Free trial $19 / Monthly ($19/month Starter 1,000 products, custom templates, CSV import)
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Andi seems to be more popular. It has been mentioned 27 times since March 2021.

social mentions
27 vs 0
Productivity popularity
100% vs 0%

Base details

Website, pricing, platforms and company facts side by side.

Andi
ViewForge
Website andisearch.com normalview.pro
Pricing —
Freemium Free trial $19 / Monthly ($19/month Starter 1,000 products, custom templates, CSV import) Official pricing
Platforms —
Shopify
Company — Startup from the United States · 1 - 9 employees · 2026
Listed in

About Andi and ViewForge

In their own words, as submitted to SaaSHub.

Andi
ViewForge

No description of Andi yet.

ViewForge is a Year Make Model (YMM) parts finder for Shopify. Shoppers pick their vehicle, machine or device from cascading dropdowns and see only the parts that fit. Fitment search works across eight verticals — auto, motorcycle, tractor, marine, power equipment, bicycle, printer and...

Read more about ViewForge

Features and specs

What each product offers, as listed by its team.

Andi 5 features
ViewForge 9 features
  • User Interface
    Andi offers a clean, minimalist design that makes it easy to navigate, appealing to users who prefer a straightforward search experience.
  • Privacy
    Andi emphasizes user privacy, pledging not to track or store personal data, which is a significant advantage for privacy-conscious users.
  • Speed
    The search engine is optimized for fast performance, returning search results quickly to save users time.
  • Ad-Free Experience
    Andi offers an ad-free search experience, reducing distractions and making it easier to focus on relevant information.
  • Visual Summaries
    The engine provides visual summaries of search results, making it easier to grasp essential information at a glance.

Possible disadvantages

  • Limited Search Index
    As a newer search engine, Andi may have a smaller search index compared to established players like Google, leading to less comprehensive search results.
  • Fewer Features
    Andi might lack some advanced features and tools offered by other search engines, such as specialized search filters and integrations.
  • Brand Recognition
    Andi is relatively unknown compared to major search engines, which may affect user trust and adoption rates.
  • Funding and Longevity
    The sustainability of Andi could be questioned if it struggles to secure consistent funding, potentially affecting its long-term viability.
  • Learning Curve
    Users accustomed to other search engines might experience a slight learning curve when transitioning to Andi, due to differences in layout and functionality.
  • Fitment Information
    Cascading Year/Make/Model fitment search, up to four levels
  • Vertical integration nobody else has
    8 built-in vertical templates, plus custom templates on paid tiers
  • Shopify Metaobjects
    Fitment stored as native Shopify metaobjects — your data survives uninstall
  • Smart Data Processing
    Smart Parse: extract fitment from existing product titles and descriptions, with confidence scoring
  • CSV Import/Export
    CSV import with fuzzy matching and a coverage dashboard
  • ACES / PIES
    ACES / PIES import and NHTSA VIN decoding
  • My Garage
    Saved-vehicle garage, compatibility table, and product-page fit notice
  • Context Aware Fitment Search
    Collection-level fitment assignment
  • No Obligations
    Free tier with no expiry, up to 50 products

Analysis

An editorial look at what each product does well and who it suits.

Andi
ViewForge

Overall verdict

  • Andi can be considered a good choice for users who prefer a straightforward, conversational search experience and value privacy.

Why this product is good

  • Andi is a search engine designed to deliver concise and relevant results through a natural language interface. It focuses on simplicity and user-friendly design, making search more intuitive and efficient.

Recommended for

  • Users who appreciate a minimalist search interface.
  • Individuals concerned with privacy who want an alternative to major search engines.
  • People who prefer conversational and direct responses to search queries.

No analysis of ViewForge yet.

Videos

Walkthroughs and reviews on video.

Andi 3 videos + Add
ViewForge 1 video + Add

ANDI | Automated Accessibility Tool Review

More videos

  • - Ending On A High Note! Andi Mack: Best Surprise Ever Review!
  • - Cyrus Dating, Buffy Slaying! Andi Mack It's Not About You Review!

ViewForge: YMM Search & Filter

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Andi
ViewForge
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
AI
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing Andi and ViewForge.

What makes your product unique?

ViewForge's answer:

Three things. (1) Data ownership: ViewForge writes fitment as Shopify metaobjects native to your store — most competitors store fitment in their own database. (2) 8 verticals out of the box: auto, motorcycle, tractor, marine, power equipment, bicycle, printer, electronics — most competitors are automotive-only. (3) Smart Parse: extract fitment automatically from your existing product titles and descriptions instead of re-typing everything.

Why should a person choose your product over its competitors?

ViewForge's answer:

Data ownership. Fitment lives in your Shopify metaobjects, so uninstalling does not take your compatibility data with it. Convermax, EasySearch and PartFinder all keep it in their own databases, and getting it back depends on their export tooling on the day you cancel.

Cost at the low end. The search widget, the compatibility table on the product page and the saved-vehicle garage are all on the free tier, up to 50 products, with no expiry. EasySearch puts the table and the garage behind its $75/month Premium plan. Convermax starts at $250/month.

Automotive and non-automotive coverage. Eight built-in templates, and fully custom templates from $19/month, for catalogs that do not decompose into Year/Make/Model at all.

How would you describe the primary audience of your product?

ViewForge's answer:

Shopify merchants whose customers need to know whether a part fits before they will buy it — and who do not have an engineer on staff to build that themselves.

Concretely: auto and truck parts retailers, powersports and motorcycle dealers, tractor and agricultural parts sellers, marine and outboard suppliers, small-engine and power equipment stores, bicycle and e-bike component shops, printer supply merchants, and electronics accessory sellers.

Catalog sizes run from a few dozen products on the free tier up into the tens of thousands; it is running in production on a catalog of roughly 40,000 SKUs. The common thread is not the industry — it is that "does this fit my thing" is the question deciding the sale.

What's the story behind your product?

ViewForge's answer:

ViewForge came out of agency work. Normal View was building for a parts retailer running roughly 12,000 SKUs who needed fitment search, and every app we evaluated stored the merchant's compatibility data in the vendor's own database.

That is a strange trade when you look at it directly. Fitment data is genuinely expensive to produce — it is weeks of work — and the merchant would not own the result. It would belong to whichever app happened to be installed that year.

Shopify metaobjects made a different answer possible: write fitment as native structured data inside the merchant's own store. The theme reads it, the Storefront API queries it, Admin GraphQL exports it, and it is still there after an uninstall. That decision is what the rest of the app is built around.

Everything else came from real catalogs rather than a roadmap. Eight verticals exist because a tractor catalog is not Year/Make/Model. Smart Parse exists because that retailer had already written fitment into 12,000 product titles, and nobody was ever going to retype them.

Which are the primary technologies used for building your product?

ViewForge's answer:

  • TypeScript
  • Shopify metaobjects, as the fitment data store
  • Shopify theme app extensions for the storefront components: fitment search, saved-vehicle garage, compatibility table, product-page fit notice
  • Shopify Storefront API, for querying fitment from the theme
  • Shopify Admin GraphQL API, for writing and exporting fitment records
  • NHTSA vehicle database, for VIN decoding
  • ACES and PIES XML parsing, for automotive catalog import

User comments

Share your experience with using Andi and ViewForge. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Andi no reviews yet
ViewForge no reviews yet
  • The Next Google
    dkb.io · Apr 2022

    The way that Andi generates search results is different from the other search engines on this list. It focuses on understanding the intent and topics of your query, then tries to predict the best sources for your...

We have no reviews of ViewForge yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Andi 27 mentions
ViewForge 0 mentions
  • claude-switcher: The Concept of Piping Prompts into Unix
    Claude-switcher is a tool that makes Markdown files executable on Claude Code. It was developed by the team at Andi Search and is released under the MIT license. - Source: dev.to / 8 months ago
  • Ask HN: Who is hiring? (August 2024)
    Andi (YC W22) | AI Engineer | San Francisco | Onsite (preferred) / Hybrid | Full-time | https://andisearch.com We're building a new kind of search engine powered by advanced AI. Our goal is to create... - Source: Hacker News / about 2 years ago
  • Andi (YC W22) is hiring an AI Engineer to build the future of search
    - Familiarity with AWS and containerization technologies We're a small, fast-moving team backed by Y Combinator and top-tier VCs. We offer competitive compensation, meaningful equity, and the chance to shape the future of how humans... - Source: Hacker News / about 2 years ago

View more

Tracking ViewForge since Aug 2026.

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