Files
supabase/apps/www/components/Sections/CommunitySlider.tsx
Prashant SridharanandFrancesco Sansalvadore 3d12dfd20c Changed Mendable to Firecrawl (#38413)
* Changed Mendable to Firecrawl

* firecrawl logo

* bigger logo

---------

Co-authored-by: Francesco Sansalvadore <f.sansalvadore@gmail.com>
2025-09-15 09:59:03 -04:00

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import { useEffect, useRef, useState } from 'react'
import Image from 'next/image'
import { useRouter } from 'next/router'
import Link from 'next/link'
import { useWindowSize } from 'react-use'
import { Swiper, SwiperSlide } from 'swiper/react'
import SwiperCore from 'swiper'
import { Autoplay } from 'swiper/modules'
import 'swiper/css'
import SectionContainer from '../Layouts/SectionContainer'
import { useBreakpoint } from 'common'
import { TweetCard } from 'ui-patterns/TweetCard'
SwiperCore.use([Autoplay])
interface CardInterface {
type: 'twitter' | 'customer-story'
avatar?: string
author: string
role?: string
quote: string | React.ReactNode
abstract?: string
image?: string
url?: string
logo?: string
customer?: string
}
const vectorImagesDir = '/images/product/vector/community/'
const cards: CardInterface[] = [
{
type: 'twitter',
avatar: '',
author: 'Yasser',
quote:
'@kiwicopple @supabase @PostgreSQL @OpenAI Adding vector embeddings support to @Supabase is awesome. Glad I built https://t.co/jnCYOLa4iK on supabase.',
},
{
type: 'customer-story',
avatar: '',
customer: 'Markprompt',
author: 'Michael Fester',
role: 'Co-Founder, Markprompt',
quote:
'We decided to use Supabase over other specialized vector databases because it enabled us to be GDPR compliant from day one with little effort.',
image: vectorImagesDir + 'supabase+firecrawl.svg',
abstract: 'Markprompt and Supabase - GDPR-Compliant AI Chatbots for Docs and Websites.',
url: '/customers/markprompt',
},
{
type: 'customer-story',
avatar: '',
customer: 'Firecrawl',
author: 'Caleb Peffer',
role: 'CEO, Firecrawl',
quote:
'We tried other vector databases - we tried Faiss, we tried Weaviate, we tried Pinecone. We found them to be incredibly expensive and not very intuitive. If you’re just doing vector search they’re great, but if you need to store a bunch of metadata that becomes a huge pain.',
image: vectorImagesDir + 'supabase+markprompt.svg',
abstract: 'Firecrawl switches from Pinecone to Supabase for PostgreSQL vector embeddings.',
url: '/customers/firecrawl',
},
{
type: 'twitter',
avatar: '',
author: 'Batuhan',
quote: (
<>
To create long-term memory for your ChatGPT application you can use @supabase vector
database.
<br />
You can fix two common problems with this method:
<br />
Global Memory Token Size Limit Handling
</>
),
},
]
const CommunitySlider = () => {
const ref = useRef<any>(null)
const isSm = useBreakpoint(768)
const { basePath } = useRouter()
const [swiperInstance, setSwiperInstance] = useState<SwiperCore | any | null>(null)
const { width } = useWindowSize()
useEffect(() => {
// trigger autoplay if viewport resize
if (swiperInstance) swiperInstance?.autoplay?.start()
}, [width])
useEffect(() => {
if (!ref.current || !swiperInstance?.autoplay) return
ref.current?.addEventListener('mouseover', () => swiperInstance?.autoplay?.stop())
ref.current?.addEventListener('mouseleave', () => swiperInstance?.autoplay?.start())
return () => {
ref.current?.removeEventListener('mouseover', () => swiperInstance?.autoplay?.stop())
ref.current?.removeEventListener('mouseleave', () => swiperInstance?.autoplay?.start())
}
}, [ref.current, swiperInstance?.autoplay])
const Card = (card: CardInterface) => (
<div className="bg-surface-100 hover:border-strong border-overlay rounded-2xl border p-6 drop-shadow-sm flex flex-col gap-4">
<div className="flex items-center gap-2">
<div className="h-10 w-10 overflow-hidden rounded-full border border-control">
<Image src={card.avatar!} layout="responsive" width="64" height="64" alt={card.author} />
</div>
<div>
<p className="text-foreground font-medium">{card.author}</p>
<p className="text-foreground-muted text-sm">{card.role}</p>
</div>
</div>
<p className="text-foreground-muted mt-2 text-base">{card.quote}</p>
<div className="mt-3 pt-3 border-t">
<div className="relative h-10">
<Image
src={card.image!}
alt={`Supabase + ${card.customer}`}
layout="fill"
objectFit="contain"
objectPosition="left"
/>
</div>
</div>
<p className="text-foreground-muted my-3 text-base">{card.abstract}</p>
{card.url && (
<div className="text-brand block cursor-pointer text-sm">Read Customer Story</div>
)}
</div>
)
return (
<div className="py-16 sm:py-18 md:py-24 bg-alternative">
<div className="relative h-[300px] w-screen mx-auto md:w-full -mb-32 z-0">
<Image
src="/images/product/vector/community/vector-community.svg"
alt="vector graphic"
layout="fill"
objectFit={isSm ? 'cover' : 'contain'}
/>
</div>
<SectionContainer className="!py-0">
<div className="col-span-12 text-center relative z-10">
<h3 className="text-3xl md:text-4xl heading-gradient">
Join a growing <br />
community of users
</h3>
</div>
</SectionContainer>
<div ref={ref} className="relative mx-auto pt-16 pb-0 swiper-transition-linear">
<Swiper
onSwiper={(swiper) => setSwiperInstance(swiper)}
centeredSlides={true}
spaceBetween={30}
slidesPerView={3}
speed={13000}
loop={true}
watchOverflow
threshold={2}
updateOnWindowResize
allowTouchMove={false}
autoplay={{
delay: 0,
disableOnInteraction: true,
reverseDirection: false,
}}
breakpoints={{
320: {
slidesPerView: 1.5,
spaceBetween: 10,
},
720: {
slidesPerView: 2.5,
spaceBetween: 20,
},
1280: {
slidesPerView: 4,
spaceBetween: 30,
},
1700: {
slidesPerView: 5,
spaceBetween: 30,
},
2100: {
slidesPerView: 6,
spaceBetween: 30,
},
}}
>
{cards.map((card, i) => (
<SwiperSlide key={card.author}>
{card.type === 'twitter' ? (
<TweetCard
handle={`@${card.author}`}
quote={card.quote}
img_url={`${basePath}${card.avatar}`}
/>
) : (
<Link href={`${basePath}${card.url}`}>
<Card {...card} />
</Link>
)}
</SwiperSlide>
))}
</Swiper>
</div>
</div>
)
}
export default CommunitySlider