Larger Review

Larger (larger.io) is a web technology intelligence tool: point it at a domain and it reports the CMS, analytics, hosting, payment, and other tooling that site is running, pulled from a self-described registry of 7,200+ technologies across 108 categories. This review covers what's verifiable today, since the tool is new enough that pricing and outside sentiment are both thin.

Verdict at a glance

What is Larger?

Larger sits in the same category as BuiltWith and Wappalyzer: a searchable database of what software powers a given website. The company describes its mission as making "the entire web's tech adoption legible" for sales, research, and recruiting, built by what its own site calls "a small team" running a Go-based crawler around the clock. Note that this is a different product than an earlier draft of this listing described (site performance monitoring) — the live site as of July 2026 is a technology-detection and lookup tool, not a page-speed tracker, and this review covers the product that actually exists today.

How it works

A crawler visits domains and fingerprints the technologies running on each one — CMS, analytics tags, hosting provider, payment processor, and more — sorting results into 108 categories. The vendor claims 15.6 million domains scanned and refreshed daily, though that figure is self-reported and we could not independently verify scan frequency or coverage. Results are queryable three ways: a free anonymous web lookup, a REST API, and an MCP server aimed at letting AI agents pull stack data directly into agentic workflows — a feature most competitors in this space don't yet offer.

Larger pricing (2026)

There's no real-cost math to do here beyond the free tier, because there's nothing priced to do math on. That's worth calling out explicitly: most tools in this space (BuiltWith, Wappalyzer) have had public pricing for years, and Larger currently doesn't, so budgeting for it beyond the free allowance isn't possible from public information.

What we could and couldn't verify

We could verify: the site is live, the free tier's stated limits, the stated feature set (categories, API, MCP server), and the company's self-description of its crawler and mission.

We could not verify: any paid pricing (none is published); the accuracy or freshness of the underlying 15.6M-domain dataset against a source outside the vendor's own claims; and third-party sentiment — a search for reviews and discussion turned up no G2, Trustpilot, or Reddit threads mentioning Larger by name. That's not unusual for a newer entrant, but it means there's no outside signal yet on data quality, support responsiveness, or whether the tool holds up against established players at scale. Treat any performance claims from the vendor's own marketing accordingly.

Pros and cons

Pros

• Free tier is usable on its own: 25 lookups/day with no signup, 1,000 API calls/month
• MCP server access is unusual in this category and useful if you're building AI-agent workflows around prospecting or research
• Broad claimed category coverage (108 categories, 7,200+ technologies)
• No credit card required to start

Cons

• Paid pricing is entirely unpublished, so there's no way to budget for growth beyond the free tier
• No independent reviews exist yet to check the vendor's claims against
• Dataset size and refresh-rate claims (15.6M domains, daily) are self-reported and unverified
• The company discloses no founding date, funding, or track record on its own site

Larger alternatives

• BuiltWith — the incumbent in this category, with over a decade of historical technology-adoption data and published pricing.
• Wappalyzer — a well-known browser-extension-first competitor with a free lookup tool and a documented API.
• SimilarTech — similar technology-detection focus with an emphasis on market share and adoption trend reports.
• WhatRuns — a lighter-weight, free browser-extension alternative for quick single-site lookups.

Who should use Larger — and who shouldn't

Good fit: developers, researchers, and small sales or recruiting teams who want quick, free, anonymous lookups of a site's tech stack, and anyone already building AI-agent tooling who wants MCP-native access to that data.

Poor fit: teams that need firm pricing today to get budget approval; buyers who want third-party validation (reviews, case studies, uptime history) before committing; and anyone who needs the kind of years-deep historical adoption trends that BuiltWith has built up over a much longer track record.

This directory listed Larger with a different product description previously; the write-up above reflects what the live site actually offers as of July 2026 and should be treated as the current source of truth.