Findsight

Search non-fiction by claim, not keyword, and compare how authors argue the same idea.

Intermediate
Screenshot of Findsight, Search non-fiction by claim, not keyword, and compare how authors argue the same idea

What is Findsight?

Findsight is an education tool that searches non-fiction by claim, not keyword, and compare how authors argue the same idea. Findsight is a claim-based search engine for non-fiction books and articles.

Findsight is a search engine built around claims rather than keywords. Instead of returning pages that merely mention a search term, it indexes the specific points authors make in non-fiction books and articles, then lets users compare how different sources treat the same idea. The site frames this approach as "syntopical reading" — moving between related claims across many works to build a broader picture of a topic than any single source provides. The tool is aimed at people who read and research non-fiction seriously: students, writers, researchers, and readers who want to cross-reference arguments rather than just find a definition or a citation. Anyone drafting an essay, preparing a lecture, or compiling notes who wants to see how multiple authors have approached the same claim is a reasonable fit. It is less useful for casual browsing or for content outside non-fiction, since that is the only material the site describes as indexed. In practice, Findsight combines basic and AI-powered filters. The "mention" filter is a literal text search, similar to a standard web search engine, and is intentionally broad. The "reference" and "discuss" filters narrow results using named entities and topic tags — some entities link out to Wikipedia, others are Findsight-specific categorized concepts — and support wildcard and OR syntax for more precise queries. Two AI-powered filters extend this further: "state" takes a custom claim and surfaces related claims elsewhere, useful when hunting for citations, while "answer" takes a question and returns claims that address it along with supporting context. A "Random" button and a "→" explore arrow let users jump into an unfamiliar claim and follow a thread of related ideas, with every result linking back to its original book or article. Findsight sits apart from general search engines and book-cataloguing tools by working at the level of individual claims rather than whole documents, and apart from generic AI chat tools by grounding answers in traceable sources rather than generated summaries. It is best understood as a research and syntopical-reading aid rather than a full-text library, note-taking app, or citation manager, and it is built and maintained by Summarity.

How do you use Findsight?

  1. 1Try a random claim first
    Click the Random button on the homepage to see a claim in context along with related sources, without needing to build a search.
  2. 2Run a basic mention search
    Type a keyword into the mention filter and click Find, similar to a standard web search, to get an initial broad set of results.
  3. 3Narrow with reference and discuss filters
    Add named entities via the reference filter or topic tags via the discuss filter, choosing whether sources must match any or all of them.
  4. 4Use AI-powered state or answer filters
    Enter a custom claim into the state filter to find related claims for citations, or type a question into the answer filter to surface claims that address it.
  5. 5Follow related claims and check sources
    Use the → arrow to explore claims related to your current result, click titles for more context, and follow links back to the original book or article.

Pros and cons

Pros

  • Indexes individual claims rather than whole documents, making it easy to compare how different authors treat the same ideaAI
  • Named-entity and Wikipedia-linked reference filters give more precision than plain keyword searchAI
  • Every result links back to the original book or article for further reading or citationAI
  • Wildcard and OR search syntax across filters supports fairly advanced, targeted queriesAI
  • Random claim button and related-claim arrow encourage discovery beyond a single searchAI

Cons

  • AI-powered state and answer filters are capped at 50 searches per day, which limits heavy research sessionsAI
  • Coverage is limited to non-fiction works Findsight has indexed, so it cannot help with fiction or general web contentAI
  • Getting precise results depends on learning entity, topic, and wildcard/OR search syntax, which is not immediately intuitiveAI
  • No API, mobile app, or third-party integrations are mentioned, limiting use in automated or external research workflowsAI
  • No pricing plans or paid tiers are described, so it is unclear whether current free access will remain unrestricted long-termAI

How much does Findsight cost?

Pricing

The homepage does not list pricing plans or paid tiers. Core search appears free to use, with a stated cap of 50 AI-powered (state/answer) searches per day; users can exceed this by removing AI filters and relying on the basic mention, reference, and discuss filters instead.

Learn more

Support

The homepage points users to an in-product "search guide" for help using filters and syntax; no other support channels, such as email or chat, are described.

Integrations

Findsight links certain referenced entities directly to their Wikipedia entries for added context, but the homepage does not describe any third-party app integrations, plugins, or API access.

Features

Claim-level search across non-fiction works, basic mention/reference/discuss filters, AI-powered state (related claims) and answer (question-answering) filters, entity and Wikipedia-linked suggestions, wildcard/OR query syntax, random claim discovery, and links to original source books and articles.

Frequently asked questions about Findsight

  • How much does Findsight cost?
    The homepage does not list pricing plans or paid tiers. Core search appears free to use, with a stated cap of 50 AI-powered (state/answer) searches per day; users can exceed this by removing AI filters and relying on the basic mention, reference, and discuss filters instead.
  • How do you use Findsight?
    The walkthrough on this page covers 5 steps: 1. Try a random claim first 2. Run a basic mention search 3. Narrow with reference and discuss filters 4. Use AI-powered state or answer filters 5. Follow related claims and check sources.
  • What platforms does Findsight support?
    Findsight is available on Web App.
  • What does Findsight integrate with?
    Findsight links certain referenced entities directly to their Wikipedia entries for added context, but the homepage does not describe any third-party app integrations, plugins, or API access.
  • What are the limitations of Findsight?
    AI-powered state and answer filters are capped at 50 searches per day, which limits heavy research sessions. Coverage is limited to non-fiction works Findsight has indexed, so it cannot help with fiction or general web content. Getting precise results depends on learning entity, topic, and wildcard/OR search syntax, which is not immediately intuitive.

Status

StatusActive
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Added8/4/2026

Platforms

Web App

Pricing

Free