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Curated collection of the greatest photography books

Hacker News

Curated collection of the greatest photography books

Hi HN! I've built a curated collection of the world's greatest photography books by legendary photographers like Henri Cartier-Bresson, Ansel Adams, Annie Leibovitz, Sebastião Salgado, and Richard Avedon. What makes this different: - Hand-picked selections from each master photographer's essential works - Clean, minimalist design focused on the art itself - Structured data and SEO optimization for discoverability - Real ratings and authentic reviews - Mobile-responsive design Why I built this: As a photography enthusiast, I was frustrated by the lack of quality curation in this space. Most sites either focus on gear or have poor UX. I wanted to create something that celebrates the artistic legacy of these masters while being genuinely useful for people discovering photography. Technical details: - Static site with semantic HTML and structured data - Optimized images and lazy loading - Clean CSS with no frameworks - Fast loading times The site covers iconic works like "The Decisive Moment" by Cartier-Bresson, Adams' landscape masterpieces, and Leibovitz's celebrity portraits. Each photographer section includes their most influential publications. Try it out: https://photographybooks.top/ I'd love to hear your thoughts on the curation, design, or any photographers you think should be included. What photography books have influenced you?

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Strong signals: reviews · Missing: plus, platform, intuitive
53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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