Intelligent caching layer that bypasses Supabase query limits for lightning-fast matching.
Solo indie hackers building matching platforms hit Supabase scalability limits in single-person setups, blocking growth without expert tweaks.
MatchCache intercepts and caches frequent matching queries (e.g., 'find similar users') using Redis-backed edge caching tuned for Supabase. It learns query patterns from your app's traffic and pre-warms caches for peak loads. Indie hackers get 100x query speedups without changing code, scaling to millions of daily matches.
Solo indie hackers building SaaS platforms like matching services using Supabase
AI-driven cache invalidation specifically for dynamic matching data in Supabase apps.
friendly
Drop-in JS SDK to cache Supabase matching queries.
Auto-detects common matching patterns like geo or interest-based.
Deploys caching proxy on Vercel edge.
Visualize hit rates, eviction stats, and query savings.
Invalidates caches on user updates via Supabase triggers.
User-defined TTLs and keys.
Compare cached vs uncached performance.
Global edge caching.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| supabase_url | text | No |
| sdk_key | text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| app_id | uuid | No |
| query_hash | text | No |
| hit_rate | int | No |
| timestamp | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| app_id | uuid | No |
| pattern_name | text | No |
Relationships:
/api/install-sdkGenerate SDK key
/api/patternsList learned patterns
/api/statsFetch cache metrics
/api/invalidateManual cache clear
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