Datagate

Case study · Web · 2024Scroll to expand

Datagate[02 / 05] — Web · 2024

A real-time intelligence terminal for NFT traders — market data, on-chain analytics and social sentiment, unified in one fast workspace.

No longer live — project discontinued

Role

Product design & engineering

Sector

Web3 · NFT analytics

Platform

Web application

Year

2023 — 2024

OutcomesResults

Build time

~3 months lead software engineer

Scope

8 modules · 10 dashboards trending → conversational AI

Real-time

Live WebSockets on-chain indexer

AI layer

Conversational reads every dashboard

The engineering held up; the NFT market cooled. Shipped, learned, moved on.

The brief[01] Problem

The NFT market splits informed traders from everyone else. The data exists — but it's scattered across marketplaces, block explorers and a thousand Twitter threads.

Datagate was built to close that gap. We pulled marketplace feeds, on-chain history and social signal into a single terminal — fast enough to act on, structured enough to trust. The brief was blunt: an optimised platform for traders, by traders.

Solve the gap between uninformed and informed trading in the NFT industry.— Product principle

What the client said

Always a pleasure. Commitment and technical expertise, consistently meets deadlines, communicates well, and gives precise updates. His input has been valuable — more than happy to work with him again.

Cyrille de LangeFounder, Peakable

What we built[02] Eight surfaces, one terminal

[01]Trending & MarketLive league tables across floor, volume, profit and market cap — with sparkline trends and marketplace-split volume charts.

[02]Trading ViewPer-collection deep dive: real-time listings and trades, price & rarity distributions, floor depth and buyers-vs-sellers.

[03]Holder AnalyticsHolder distribution, holding-time histograms, bluechip overlap and a profit/loss holder leaderboard.

[04]Mints TrackerLive minting feed — mints per hour, unique minters, floor and highest bids, refreshed on the second.

[05]Sentiment AnalysisTwitter sentiment scored per account — polarity index, emotions, demographics, languages and a comment word cloud.

[06]Bot AnalysisDetects botted comments, likes and retweets, plus fake-follower breakdowns and a trust score per project.

[07]Datagate AIA conversational layer that reads the dashboards and answers plain-language questions about a wallet or collection.

[08]Wallet AccessSign in with Metamask, Coinbase or WalletConnect — or email — gating a personal portfolio and watchlists.

Inside the product[03] 10 screens — tap to enlarge

Markets & Trading

Ranked league tables, per-collection deep dives and a live minting feed.

04 screens

Datagate market overview — **Market overview**Volume · index · buyers

Datagate trading view — **Trading View**Listings · trades · floor

Datagate holder analytics — **Holders**Distribution · leaderboard

Datagate mints tracker — **Mints**Live minting feed

Sentiment & Bots

Social signal scored per account — emotions, demographics and bot detection.

04 screens

Datagate sentiment overview — **Sentiment overview**Tweets · index · comments

Datagate sentiment main metrics — **Main metrics**Word cloud · emotions

Datagate sentiment demographics — **Demographics**Age · gender · geo

Datagate bot analysis — **Bot analysis**Botted likes · fake followers

AI & Access

A conversational analytics layer and frictionless wallet sign-in.

02 screens

Datagate AI assistant — **Datagate AI**Conversational analytics

Datagate wallet login — **Wallet access**Metamask · Coinbase · WalletConnect

Built with

A typed front end over a real-time data layer — charts that stay smooth under a live socket feed.

Stack

ReactTypeScriptNode.jsWebSocketsD3 / EChartsEthereum RPCOn-chain indexerLLM APIPostgreSQL

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