Reference buildDataIndexingSaaS

A cross-chain analytics platform indexing nine networks in real time.

Custom indexers, a query API and a dashboard product for funds, protocols and researchers.

TYPE

Reference build · concept work

BUILT FOR

Data companies, funds and protocol teams

TYPICAL TIMELINE

6–8 months, then a retainer

SERVICES

Web applications Architecture & advisory

STACK

GoClickHouseKafkaPostgreSQLNext.jsKubernetes

The problem

Off-the-shelf indexers are slow to add chains, expensive to run and fall hours behind head during volume spikes. A data product needs sub-minute freshness across EVM and non-EVM chains, and something customers will pay for monthly.

How we build it

A Go-based indexing framework where a new chain is a config file plus a decoder, streaming into ClickHouse via Kafka. On top: a query API with per-key quotas and a dashboard with saved views, alerts and CSV/API export.

BUILT TO

Chains in the reference design, including Solana and Bitcoin

<60s

Target freshness from block to dashboard

Days

To add a chain — a fetcher and a decoder, everything else shared

Spikes

Absorbed — Kafka buffers and low-priority backfills keep the live tail current

One framework, many chains

Adding a chain is days, not months. The chain-specific work is limited to a block fetcher and a decoder; storage, backfill, reorg handling and the API are shared.

Built for spikes

Kafka buffers absorb volume bursts, ClickHouse ingests in batches, and backfills run as separate low-priority consumers so the live tail never falls behind.

From internal tool to product

The dashboard, billing and API keys are designed as a product from the start: saved queries, alerting, team workspaces and a public API that can become a revenue line of its own.

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Building something like this?

Tell us about it. A reference build is where we start — your product is where we end up. We reply within one business day.