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Data Infrastructure · 10 sub-niches · Build-vs-invest tagged
Every workload eventually wants a custom data backend. The library + SaaS combo wins.
Each entry below is a specific opportunity inside Data Infrastructure. We name public projects as examples — never the founders we track inside the paid product. The category commentary is the public surface; the named buyers’ edge lives in the paid product.
/niche-down/data-infrastructure/vector-database-engines
Vector search engines optimized for specific workloads — high-dimensional, hybrid, or local.
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/niche-down/data-infrastructure/real-time-feature-stores
Feature stores with sub-second freshness for online ML.
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/niche-down/data-infrastructure/postgres-extension-marketplaces
Postgres is now the AI database. The extension ecosystem is the next platform.
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/niche-down/data-infrastructure/columnar-warehouse-alternatives
Snowflake / BigQuery alternatives optimized for a specific shape — cheap, fast, or open.
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/niche-down/data-infrastructure/change-data-capture-tools
CDC pipelines that don't require a Kafka cluster.
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/niche-down/data-infrastructure/data-contract-platforms
Enforce data shape and quality at the producer, not the consumer.
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/niche-down/data-infrastructure/llm-cache-layers
Semantic caching for LLM calls — save cost, reduce latency, increase reliability.
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/niche-down/data-infrastructure/semantic-layers-2026
BI semantic layers, redesigned for LLM-driven exploration.
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/niche-down/data-infrastructure/time-series-databases-for-ml
Time-series databases optimized for ML feature workloads, not just monitoring.
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/niche-down/data-infrastructure/anti-entropy-sync-libraries
Conflict-free data sync for offline-first apps and local-first software.
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How Data Infrastructure is tracked
Data Infrastructure is one of the 20 top-level sectors in the weekly GitHub momentum panel. The sub-niches above are editorial slices on top of that data — specific opportunities where the signal shape suggests something is breaking out. The named scoreboard for Data Infrastructure is in the startups-to-watch surface; the niche-down map here is the “what could be built” layer above it.
Adjacent sector maps