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Peoople: The Anti-Algorithm Discovery Engine
A 3-person team building a human-curated alternative to Netflix and Spotify's algorithms
In a world dominated by opaque algorithms that decide what you watch and listen to, Peoople bets on the oldest recommendation system known to humanity: word of mouth from people you actually trust. This Spanish startup is quietly building a discovery platform that cuts through the noise by leveraging real human connections.
"When a 3-person team generates $200K in revenue, you're not looking at a startup anymore—you're looking at a precision instrument."
The Trust Paradox
Peoople's core insight is brutally simple: we trust friends more than algorithms. With 35% direct traffic, their users aren't finding them through search—they're coming back because the recommendations actually work. The platform spans movies, series, books, music, restaurants, and apps, creating a unified trust layer across entertainment and lifestyle. Yet with only 30K monthly visits, they're still in early traction despite a clear value proposition.
The SEO Reality Check
Here's where the story gets complicated. Their top keywords reveal a fascinating split personality: 'peoople' (1,520 monthly searches) shows brand recognition, but '10000 a.c. torrent' and 'pelis44' (3,210 searches) suggest they're attracting piracy-curious users rather than genuine recommendation seekers. This isn't just noise—it's a strategic vulnerability. They're ranking for the wrong intent, which means their organic growth might be built on shaky foundations.
The tech stack tells a story of modern efficiency: Next.js for performance, Tailwind for rapid iteration, and Google Analytics for data-driven decisions. But the 2.5/5 Trustpilot rating from 88 reviews suggests a significant experience gap. Either the product is polarizing, or the review sample is skewed by early adopters who expected more polish from a platform charging premium prices for premium recommendations.
- Revenue per employee: ~$67K (exceptionally high for early-stage)
- Traffic quality: 40% organic vs 35% direct indicates strong brand recall
- Market position: Niche discovery vs. mass aggregation
- Growth constraint: 3-person team limits scaling velocity
The Efficiency vs Scale Dilemma
Peoople proves human recommendations work at micro-scale. The question is whether trust can scale without becoming the very algorithm it fights.
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Peoople
Peoople es una plataforma donde puedes descubrir y recomendar películas, series, libros, música, restaurantes, apps y mucho más, todo basado en las sugerencias de personas en las que confías.
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Reviews (20)
Unbelievable amount of Spams
Suddenly getting loads of emails. Tried blocking/sending to spam, loads keep getting through. How can I stop this?
Tried to report this as spam and block…
Tried to report this as spam and block the address but it keeps getting through, disgusted. If there was a zero that’s what they would get. Go away
Spam, spam, spam
Started with endless spam emails. I’ve never signed up for anything. Only positive reviews are from 2 people from Spain on the same day. Utter scam
Scammers who send spam unsolicited
Avoid like the plague. I've started receiving spam mail with scam written all over it. I have never signed up with this bunch of cretins
Don't know why they keep e mailing me…
Don't know why they keep e mailing me it's v annoying spam, have blocked but doesn't stop them
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About peoople.app
Peoople es una plataforma donde puedes descubrir y recomendar películas, series, libros, música, restaurantes, apps y mucho más, todo basado en las sugerencias de personas en las que confías.
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Technology Stack
peoople.app uses 10 technologies across their website including Leaflet, unpkg, Google Tag Manager, Google Analytics, and more.
Maps
Leaflet
CDN
unpkg
Analytics & Marketing
Google Tag Manager, Google Analytics
Performance
Lazy Loading, Priority Hints
Web Standards
Twitter Cards
CSS Frameworks
Bootstrap, Tailwind CSS
Traffic & Audience
peoople.app receives approximately 30.5K monthly visitors and ranks #998,195 globally. The website has a bounce rate of 59% with visitors viewing an average of 1.6 pages per visit. Users spend an average of 0:20 on the site.
The majority of peoople.app's traffic comes from undefined, undefined, .
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