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Player Engagement & Progression Tracker SDK
An SDK that tracks how long players survive and interact with different zones in user-generated levels, replacing binary win/loss community ratings with actual engagement metrics.
Why this matters
Relying on community upvotes to surface the best custom levels often backfires because audiences naturally gravitate toward maps that are easy to beat. When creators spend hours designing intricate, balanced, and challenging scenarios, they get buried under low-effort content with high win rates. You need a reliable metric that measures actual engagement—tracking how long an attacker survives and interacts with various zones before failing—rather than simply logging binary win/loss states or relying on biased manual ratings.
- · Built for Developers of user-generated content games who rely on community voting to surface good maps..
- · Most likely monetization: Freemium SDK with paid advanced analytics tiers.
The Pain · Narrative
Relying on community upvotes to surface the best custom levels often backfires because audiences naturally gravitate toward maps that are easy to beat. When creators spend hours designing intricate, balanced, and challenging scenarios, they get buried under low-effort content with high win rates. You need a reliable metric that measures actual engagement—tracking how long an attacker survives and interacts with various zones before failing—rather than simply logging binary win/loss states or relying on biased manual ratings.
Score Breakdown
Market Signal
Go-to-Market
Community managers and lead designers of games heavily reliant on user-created levels.
~5,000 active projects focused heavily on community level sharing.
Hacker News launch focused on the failure of traditional voting algorithms in gaming.
$99/month for advanced community map analytics.
10 developers installing the SDK to monitor playtests of their upcoming titles.
MVP Scope · 1–2 weeks
- Design a lightweight telemetry schema for logging zone entries, damage events, and death locations.
- Set up a time-series database to handle high-volume event ingestion.
- Create a REST endpoint to accept batched telemetry data from game clients.
- Develop a rudimentary algorithm that scores a run based on duration and number of unique zones visited.
- Build a simple script to aggregate run scores into an overall map engagement rating.
- Build a web dashboard allowing developers to sort uploaded maps by the calculated engagement rating rather than traditional votes.
- Package a basic C# SDK for Unity that automatically batches and sends the telemetry data.
- Implement a visualization feature showing the average survival time per map.
- Create documentation explaining the philosophy behind engagement-based map sorting.
- Launch a landing page explaining how traditional upvote systems fail community-driven games.
Differentiation
Why This Might Fail
Self-rebuttal — the most important trust signal
- 1High volume of telemetry data could lead to unpredictable server infrastructure costs.
- 2Players might figure out how the engagement algorithm works and artificially inflate scores by idling in safe zones.
- 3Studios might prefer to rely on existing general-purpose analytics tools like GameAnalytics instead of a niche map-rating solution.
Evidence Summary
How AI synthesized this insight — no verbatim quotes
Participants noted that basic community upvote systems fail to highlight genuinely entertaining designs, often promoting overly simplistic or trivially easy layouts. Some proposed measuring engagement through internal tracking mechanisms that reward creators only when attackers interact with multiple areas rather than dying instantly at the entrance.
Action Plan
Validate this opportunity before writing code
Recommended Next Step
Validate
Promising signals, but needs confirmation. Create a landing page, collect email sign-ups, then decide.
Landing Page Copy Kit
Ready-to-paste copy based on real Reddit community language — no editing required
Headline
Player Engagement & Progression Tracker SDK
Sub-headline
An SDK that tracks how long players survive and interact with different zones in user-generated levels, replacing binary win/loss community ratings with actual engagement metrics.
Who It's For
For Developers of user-generated content games who rely on community voting to surface good maps.
Feature List
✓ Time-to-kill tracking per map zone ✓ Interaction event logging (damage dealt, items used) ✓ Algorithmic 'Fun Score' calculation based on prolonged engagement ✓ Automated map sorting API based on engagement metrics
Where to Validate
Share your landing page in r/r/gamedev — that's exactly where these pain points were discovered.
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