Investor Relations

The social home for the games you’ve played.

Playshelf lets people rate, rank, and organize their game libraries — then discover what to play next through AI recommendations and friends. Live on the web, monetizing, and built on a modern AWS stack.

Figures on this page as of June 25, 2026.

The product

What we’re building

A game tracker people actually return to — because the data it holds (your taste, your shelf, your friends) compounds over time.

Track & rank

Log every game you have played, rate them, and rank your shelf — a durable, personal record of your taste.

AI recommendations

Suggestions grounded in your real play history and live web search, not generic charts — powered by frontier AI models.

Social discovery

See what friends are playing and share recommendations. Discovery is more trusted when it comes from people you know.

Trending, enriched

An hourly trending feed over live IGDB data, each pick paired with an AI-written editorial take.

Traction

Platform signals

The platform is live, reliable, and monetizing. The numbers below are public infrastructure telemetry — a transparent, conservative read on activity.

37.5K
Edge requests served
trailing 30 days · ≈1,250 / day
99.9%+
Platform reliability
CDN error rate under 0.1%
~0.97 GB
Content delivered
per month, static + prerendered
3,648
Peak day
monetization launch · Jun 4
Weekly edge requests
May 25–31
6,135
Jun 1–7
7,269
Jun 8–14
11,164
Jun 15–21
7,259

Mid-June (Jun 8–14) reflects an activity spike; weekly totals are reported as-is, not smoothed.

What the data says
  • Live and monetizing — the 30-day traffic high (3,648 requests) landed the day paid subscriptions went live, June 4.
  • Reliable at the edge — under 0.1% error rate across the trailing 30 days means 99.9%+ of requests were served successfully.
  • Sustained daily engagement — a ~1,250 requests/day baseline that held through June, with a late-month high of 3,419 on June 24.

Trailing 30 days. Infrastructure metrics from the Playshelf web CDN (Amazon CloudFront via CloudWatch) — edge requests and reliability, not unique visitors. Detailed product KPIs — active users, retention, and revenue — are shared with qualified investors under NDA via our data room.

Business model

How it makes money

Subscription-first. A free tier builds the habit; a paid “Pro” tier unlocks heavier AI usage and power features.

Pro subscription

Recurring revenue, live since June 2026. Higher AI limits and advanced tools for the most engaged players.

Free tier

Full tracking, ranking, and social features — the top of the funnel that builds the taste graph and the habit.

Lean infra

Serverless AWS (Lambda, SQS, CloudFront, Redis) runs at roughly ~$20/month at idle and scales with usage — infrastructure cost rises with the user base, not ahead of it.

Unit economics

High gross margin by design — the AI that powers recommendations is free at today’s scale.

50
Pro members at $0 AI cost

Recommendations run on Gemini 2.5 Flash with live Google Search grounding, whose free tier covers 5,000 grounded requests/day — enough for 50 Pro members even if every one maxed the 100-request daily cap. Typical usage sits well below the cap, so the free tier stretches further still.

$5 / mo
Pro price · 100 requests/day cap

Each subscriber is metered to 100 AI requests per day, so per-user cost is bounded by design while the experience stays generous.

Accretive
every subscriber beyond the free tier

Past the free tier the per-request AI cost is a small fraction of the $5 subscription, and serverless infra scales with usage — so each new Pro member adds margin rather than burning it.

Trajectory

Milestones

  1. 2026

    Public launch

    Playshelf goes live on the web at playshelfapp.com — game tracking, ranking, social graph, and AI recommendations.

  2. Jun 2026

    Monetization live

    Subscription "Pro" tier ships with live payments. Launch day set the platform’s 30-day traffic high.

  3. Now

    Mobile + push

    Native mobile app and push notifications in preparation to deepen retention and daily engagement.

Let’s talk

Building the system of record for what people play. If that’s a thesis you’re backing, reach out for the deck and data room.

investors@playshelfapp.com

Forward-looking statements. This page contains forward-looking statements about Playshelf’s plans and prospects. Actual results may differ materially. Metrics are point-in-time, unaudited, and provided for informational purposes only.

Not an offer. Nothing on this page is an offer to sell, or a solicitation of an offer to buy, any security, nor investment, legal, or tax advice.