Event processing pipelines
Build listeners that consume contract or ledger events in order, with checkpointing so processing can resume safely after a restart or failure.
Blockchain Indexing
Turn chain events into something you can query.
Custom blockchain indexers that turn raw on-chain events into queryable, replayable PostgreSQL records for explorers, analytics, and internal tools.
Book a discovery callTHE BUSINESS NEED
Start with the problem.
Build what matters.
Querying chain state directly through an RPC node doesn't scale past the simplest use case — it's slow, rate-limited, and can't answer questions like 'show me every transfer for this address in the last 30 days.' An indexer that processes events into a real database solves this, but only if it's built to handle replay, reorganizations, and missed blocks correctly from the start.
How we approach it
We design the database schema from the target queries backward, not from the raw event shape forward — an explorer, a dashboard, and a reconciliation job need different things from the same events. Indexers are built to be safely restartable and replayable from any point, with confirmation-depth thresholds and reorg detection treated as required behavior, not an edge case.
CAPABILITY IN DETAIL
What this means in practice.
Specific engineering work, connected to a business need.
Query-oriented schema design
Design PostgreSQL tables and indexes around the actual questions the product needs answered, rather than a one-to-one mirror of raw event logs.
Replay and backfill
Support rebuilding indexed state from a specific block or point in time, needed both for recovering from bugs and for adding new indexed fields retroactively.
Reorg-safe processing
Detect chain reorganizations and correctly retract and reprocess affected data instead of treating every observed event as permanently final.
WHERE IT CAN HELP
Problems worth solving.
Illustrative engagement types, not claims about previous projects.
- Powering a block explorer or transaction history view without hammering an RPC node
- Feeding analytics or reporting dashboards from on-chain activity
- Giving internal tools fast, queryable access to contract or ledger state
BEFORE WE BEGIN
Questions, answered.
Why not just query the chain directly for every request?
Direct RPC queries are slow for anything beyond a single lookup, get rate-limited under real traffic, and can't efficiently answer aggregate or historical questions. An indexer trades some infrastructure for speed and query flexibility.
What happens if the indexer misses a block?
Checkpointing and gap-detection are built in specifically so a missed or skipped block is caught and backfilled rather than silently leaving a hole in the data.
Does this work for both public chains and Hyperledger Fabric?
Yes, the underlying pattern — process events into a queryable store with replay and consistency guarantees — applies to both, with network-specific event handling for each.
LET’S BUILD WHAT’S NEXT
Have a complex
technology problem?
Bring the idea to a focused 15-minute call. No pitch deck, no obligation — just a clear read on whether we’re the right fit.