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Market/Categories/Developer & AI Platform/lantern.dev

Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

lantern.dev

Lantern is a cloud-based vector database solution that extends Postgres with advanced vector search capabilities, embedding generation, and LLM integrations for AI applications.

Developer & AI Platformlantern.devTracked since 2026-08-211 discovery source
827Backlinks
233Referring domains
19Domain authority
-4.6%Referring domains · 90 days

Authority & distribution

How strong is lantern.dev’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

827Current snapshot

Referring domains

233Current snapshot

Authority

19Domain authority · category median 22

90-day move

-4.6%Referring domains, last 90 days
At 19, lantern.dev sits below the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

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Traffic & engagement

Where lantern.dev ranks

Measured · Pro

Measured for this product: global rank, country rank and category rank.

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AI referral visibility

Which AI assistants are already sending lantern.dev traffic?

Measured · Pro

Measured for this product: AI referral traffic.

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Product profile

What lantern.dev is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“lantern.dev”

Lantern is a cloud-based vector database solution that extends Postgres with advanced vector search capabilities, embedding generation, and LLM integrations for AI applications.

Developer & AI PlatformSeen 2026-08-21 → 2026-08-21Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://lantern.dev

Observed across 1 discovery source.

Research questions

What the evidence answers about lantern.dev.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What is Lantern used for and in what situations?

Lantern is used by developers to build production-ready AI applications, specifically for tasks like Retrieval-Augmented Generation (RAG). The homepage highlights its use for building search functionality over large codebases and scaling cloud database infrastructure.

Who is Lantern for?

Lantern is for developers and technical teams building AI applications. Testimonials on the homepage come from founders of companies like SciPhi, Greptile, and Firebender who are building RAG applications and scaling database infrastructure.

What features and capabilities does Lantern offer?

Lantern offers vector search with pgvector, BM25 text search, and hybrid search capabilities directly within Postgres. It provides serverless indexing for scaling, embedding generation, and LLM integrations supporting over 20 models from providers like OpenAI, Cohere, and Jina AI.

What is Lantern.dev and what problem does it solve?

Lantern is a cloud-based vector database solution that extends Postgres with advanced vector search capabilities, embedding generation, and LLM integrations for AI applications. It solves the problem of needing a separate vector database or search engine by adding these features directly to Postgres.

4 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.

Behind the lock

Unlock full lantern.dev intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured