Web3 data intelligence

The chart comes before the take.

DashMode queries, reconciles, and models on-chain data across liquidity venues and protocol architectures. We translate raw network state into decision-ready dashboards, technical research, and visual intelligence. The evidence remains consistent across every output.

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Tokenized Markets

Robinhood Chain's first 60 days: real traction, incomplete transparency

Robinhood Chain's Stock Token market reached $50.57M of onchain value and 68.5K holder addresses in its first 60 days. The stronger signal is the chain's stablecoin-led capital base; the weaker signal is that its active-asset count is not yet reconciled across public sources.

FROM THE ANALYSIS
NVDA$9.28SPY$5.84SPCX$4.89AAPL$2.14TSLA$1.93
LATEST RESEARCHTOKENIZED MARKETSAug 30, 2026 Read the research →
Public research

One analytical standard. Every format.

Our public output is our verifiable proof of work: source-aware analysis, explicit metric definitions, and visuals built to expose system mechanics rather than decorate a narrative.

Tokenized Markets

Robinhood Chain's first 60 days: real traction, incomplete transparency

Robinhood Chain's Stock Token market reached $50.57M of onchain value and 68.5K holder addresses in its first 60 days. The stronger signal is the chain's stablecoin-led capital base; the weaker signal is that its active-asset count is not yet reconciled across public sources.

Aug 30, 2026 ↗ Token Supply Dynamics

Ethereum activity expanded while network fee burn collapsed

Between January 2025 and July 2026, Ethereum L1 monthly transactions rose 111% while monthly USD fee burn contracted 97%. The relationship between activity and burn did not weaken gradually — and one month in the series breaks it further than capacity expansion accounts for.

Aug 29, 2026 ↗
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Distribution

Every piece of research also runs as long-form video, an annotated thread, and a short cut.

YouTube @DASHMODEio Research films X @DASHMODEio Analytical notes TikTok @dashmode.io Visual briefs Instagram @dashmode.io Chart cards
Method

A reproducible analytical workflow.

Each investigation executes a defined pipeline from source acquisition to visual communication, ensuring the underlying logic remains fully auditable at every stage.

01

Ingest

Extract block-level activity, contract events, market data, and protocol state from native chains and primary indexers.

02

Reconcile

Validate coverage, entity definitions, asset treatment, and assumptions before a metric is used as evidence.

03

Model

Structure the data around the analytical unit that matters: wallets, cohorts, protocols, liquidity venues, or ecosystem flows.

04

Visualise

Select the visual grammar that makes the relationship legible: time series, cohorts, distributions, flow maps, or decision dashboards.

For protocols, funds & foundations

Decision systems for the on-chain economy.

DashMode executes specialized data-intelligence engagements for teams operating across complex, multi-chain environments. Our scope covers protocol performance, liquidity and treasury analytics, wallet cohorts, token supply dynamics, and ecosystem health.

We architect the underlying analytical model — mapping data sources, explicit entity definitions, calculation logic, and the visual layer directly to the strategic questions driving your team.

Engagements are highly focused and bespoke. Deliverables range from technical research and executive reporting to decision-ready dashboards and reusable measurement infrastructure.

Protocol diagnostics Liquidity analytics Treasury & token flows KPI frameworks Dashboards & reporting
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Standard

Proof over speculation, in practice.

01

Native data lineage

Analysis begins with raw block state, contract events, and primary indexers, ensuring source context is strictly retained throughout the entire model.

02

Explicit metric logic

Entity definitions, calculation assumptions, asset treatment, and coverage limits are strictly documented before any metric informs a decision.

03

Analytical visualisation

Charts, dashboards, and diagrams are engineered to expose relevant system mechanics — never to artificially simplify complex dynamics.

04

Decision-linked output

Every deliverable is anchored to a concrete operational, strategic, or risk-assessment question — completely avoiding generic vanity metrics.

Client enquiries

Bring the decision. We will map the evidence.

Start with the operational mandate, the targeted data surface, or an existing reporting gap. DashMode will architect the analytical infrastructure required to make your conclusions mathematically defensible.

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