SurfSense/surfsense_web/components/homepage/compare-table.tsx

107 lines
4.1 KiB
TypeScript

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