Yajur Bawa
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Side project · Consumer

PSNDeal

A global PlayStation deal tracker, price history tool, and backlog manager. I got tired of missing discounts and built something to fix that.

The problem

PlayStation discounts are unpredictable and short. If you are not watching the right places at the right time, you find out a game had a discount after it is already back to full price. The tools that exist are patchy, region-inconsistent, and require you to wade through noise to find deals that are actually worth acting on.

Gamers across every store have been making do with Reddit threads and spreadsheets. I was one of them. When a game dropped 80% for seventy-two hours, you either knew or you did not. I wanted something that watched for you, told you whether the discount was actually good relative to its history, and let you manage your entire gaming life in one place.


My role

I built this alone, with AI assistance, from scratch. That meant every part of it: reverse-engineering Sony's storefront API, designing the data model, writing the scraper, building the frontend, setting up alerts, and figuring out growth. There was no team to hand off to. Every call about what mattered and what did not was mine.

It launched on 28 June 2026.


What I built

The scraper pulls daily pricing data across India, the US, and Japan, with a roadmap to 70+ regions. Because we have months of price history per game, the site can tell you things no static deal page can: how many days it typically takes for this title to go on discount, when it last went on sale, and whether today's price is the lowest it has ever been or 20% above it. That context is what makes a discount actually mean something.

The deal scoring weights discount percentage, user rating, and rating count together. A 90% off game with three reviews ranks below a 60% off game that tens of thousands of people rated highly. The result is a curated list, not just the cheapest things available.

Price intelligence
Full price history per edition. Each game page shows when it last went on discount, how often it does, and where today's price sits relative to its all-time low.
Alerts
Email and Telegram alerts when a wishlisted game drops. WhatsApp alerts coming next. You set the threshold; we watch the price.
Game pages
Every title shows how long it takes to beat, full media gallery, and top YouTube reviews pulled automatically. Everything you need to decide whether to buy, in one place.
Library and backlog
Sign in with Google, Discord, or Twitch and sync your PlayStation library directly from your Sony account. Manage your backlog in a Kanban view. Share your entire library publicly, with a view count and completion stats visible to anyone who visits your page. Trophy data is live too.

See it live

These are the kinds of deals the site surfaces. Each card shows today's price, the discount, and the insight underneath that tells you whether it is actually worth buying now.

Region
−75% PS4 / PS5
God of War Ragnarök
₹1,249 ₹4,999
★ 4.8  ·  38,000+ ratings  ·  Lowest ever price
−67% PS4 / PS5
Red Dead Redemption 2
₹990 ₹2,999
★ 4.7  ·  52,000+ ratings  ·  12% above lowest
−60% PS5
Returnal
₹1,599 ₹3,999
★ 4.5  ·  14,000+ ratings  ·  Lowest ever price
Visit PSNDeal →

Traction

The site launched on 28 June 2026 with no paid promotion. Distribution at launch was a single post on r/PlayStationIndia and a few gaming Discord servers. Both drove traffic immediately, which confirmed the problem was real and the audience reachable without a budget.

Growth since then has been organic, fueled by SEO and continued presence in gaming communities across Reddit and Discord. Traffic now comes in daily from users across multiple countries.

Next on distribution: r/PS5, r/patientgamers, and r/GameDeals; outreach to gaming YouTubers and newsletter writers who cover deals; and a structured presence on X where deal alerts tend to spread quickly. The goal is to let the product do the talking.

100+
Signed-up users
Organic only. Acquired within the first month of launch.
~1K
Daily visitors
Consistent daily traffic from multiple countries, driven by SEO.
3
Regions live
India, US, and Japan. Targeting 70+ regions.

What I learned

The hardest part was not the code. It was deciding what the product actually was. A deal tracker, a price history tool, and a backlog manager are three different reasons to return. The tension between them is still something I think about, but the data suggests users who engage with all three are the ones who stick around.

Building without a team means every bad decision is entirely yours. That is clarifying in a way working inside a large product org is not. You find out quickly what matters because you are watching all the data yourself and there is nobody else to point at when something is not working.

The other thing that became obvious fast: SEO compounds in a way that paid acquisition does not. Every game page is essentially a landing page for someone searching whether to buy that title. Getting that right early meant traffic that arrives without spending anything, and keeps arriving.