mirror of
https://github.com/MODSetter/SurfSense.git
synced 2026-07-22 23:31:12 +02:00
107 lines
4.1 KiB
TypeScript
107 lines
4.1 KiB
TypeScript
import { Reveal } from "@/components/connectors-marketing/reveal";
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import { MarketingSection } from "@/components/marketing/section";
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const COLUMNS = [
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{ label: "Browser agents", examples: "Browserbase, Browser Use" },
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{ label: "Scraping APIs", examples: "Firecrawl" },
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{ label: "Search APIs", examples: "Exa, Tavily, Parallel" },
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{ label: "Scraper marketplaces", examples: "Apify" },
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];
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const ROWS = [
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{
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feature: "Built for",
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browser: "Web tasks that need clicking, logins, and forms",
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scraping: "Turning individual pages into LLM-ready content",
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search: "Finding and reading pages about a topic",
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marketplace: "Thousands of community-built scrapers, one per site",
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surfsense: "Live platform data as research primitives for agents",
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},
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{
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feature: "How retrieval works",
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browser: "An LLM drives a real browser, page by page",
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scraping: "Fetch a URL, get markdown or schema-extracted JSON",
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search: "Query an index, get ranked results and page content",
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marketplace: "Pick an actor per site, learn its input, run it",
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surfsense: "One typed REST call per platform, no LLM in the retrieval loop",
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},
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{
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feature: "Platform data (comment trees, transcripts, reviews)",
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browser: "Whatever the LLM extracts from rendered pages",
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scraping: "Page-level extraction; social platforms aren't the focus",
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search: "Page text and snippets, not structured platform items",
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marketplace: "Yes, but schema and quality vary per actor",
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surfsense: "Native items: posts, comment trees, transcripts, reviews, SERPs",
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},
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{
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feature: "Consistency",
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browser: "Depends on the model and the page",
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scraping: "One API, you define schemas per page type",
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search: "One API, snippet and page-content shapes",
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marketplace: "A different schema and quality bar per actor",
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surfsense: "One API and one schema style across every connector",
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},
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{
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feature: "Research workspace & knowledge base",
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browser: "No",
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scraping: "No",
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search: "No",
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marketplace: "No",
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surfsense: "Cited briefs, knowledge base, scheduled automations, deliverables",
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},
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{
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feature: "Pricing",
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browser: "Per browser minute (1-minute session minimum) plus the LLM tokens driving it",
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scraping: "Credits per page; schema extraction costs extra credits",
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search: "Per search request",
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marketplace: "Per event or result, set by each actor",
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surfsense: "Per item returned; failed calls never billed",
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},
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];
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export function CompareTable() {
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return (
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<MarketingSection>
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<Reveal>
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<h2 className="text-2xl font-bold tracking-tight sm:text-3xl">How SurfSense compares</h2>
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<p className="mt-3 max-w-2xl text-muted-foreground leading-relaxed">
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SurfSense is the only open-source product that combines a NotebookLM-style research
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workspace for people with live-data primitives for agents. Here is how that stacks up
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against each class of tool.
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</p>
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</Reveal>
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<Reveal>
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<div className="mt-8 overflow-x-auto rounded-xl border bg-card">
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<table className="w-full min-w-4xl text-sm">
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<thead>
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<tr className="border-b bg-muted/40 text-left">
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<th className="p-4 font-medium">Feature</th>
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{COLUMNS.map((col) => (
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<th key={col.label} className="p-4 font-medium text-muted-foreground">
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{col.label}
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<span className="block text-xs font-normal">{col.examples}</span>
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</th>
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))}
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<th className="p-4 font-medium text-brand">SurfSense</th>
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</tr>
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</thead>
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<tbody>
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{ROWS.map((row) => (
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<tr key={row.feature} className="border-b last:border-b-0">
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<th scope="row" className="p-4 text-left font-medium">
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{row.feature}
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</th>
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<td className="p-4 text-muted-foreground">{row.browser}</td>
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<td className="p-4 text-muted-foreground">{row.scraping}</td>
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<td className="p-4 text-muted-foreground">{row.search}</td>
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<td className="p-4 text-muted-foreground">{row.marketplace}</td>
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<td className="bg-brand/5 p-4 text-foreground">{row.surfsense}</td>
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</tr>
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))}
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</tbody>
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</table>
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</div>
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</Reveal>
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</MarketingSection>
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);
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}
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