DomainValuation.site

The New Generation of Domain Valuation

Including Blockchain Domain Valution

Plan for The ANALYTICS.1 Dashboard

What the dashboard should be

The dashboard should be positioned as the control plane for an analytics namespace — not just “site analytics.”

The winning framing is:

ANALYTICS.1 = the Web3-native analytics endpoint
Web2 twin (e.g., analytics.website / analytics1.site) = onboarding + HTTPS access
The dashboard is where operators, partners, and subdomain tenants monitor performance, campaigns, and revenue across your ecosystem.

Use of the dashboard

This should be a multi-tenant analytics console that supports:

The WEB-3 network
Track each TLD site / landing page / partner page as a “tenant,” including:

traffic and conversion funnels
partner campaign performance
lead submissions / signups
lease inquiries / purchases
affiliate/referrer attribution

On-chain + off-chain in one view (dual stack)
Combine:

Web events (page views, CTA clicks, form submits)
Campaign metadata (UTM, referrer, partner)
On-chain signals (mints, leases, payments, wallet connects) if applicable

A “generic endpoint” model
What this offers:

tenant.analytics.1 as a namespace concept (even if it’s routed today)
api.analytics.1 for ingest/query endpoints (Web2-hosted but branded as the analytics root)
a “verified analytics” directory later (optional)

As well as providing Analytics for the Web-3 Network and deriving an income from this, the operator of Analytics1.Site and Analytics.1 will also be able to independently operate the sites and derive income externally.

Phased build

Phase 1 (MVP, 1–2 weeks):

Dashboard UI
Event tracking snippet (1 JS file)
Ingest endpoint (POST events)
Basic reports: KPIs, time series, top pages, top referrers, campaign performance, conversions

Phase 2 (Real product, 2–6 weeks):

Multi-tenant RBAC (admin / partner / viewer)
Alerts (spikes, drops, bot traffic)
Export + API keys per tenant
Consent + privacy settings (GDPR-friendly)

Phase 3 (Web3-native differentiator):

Wallet-based access (Sign-In With Ethereum)
On-chain indexing integration (The Graph / RPC indexing)
Proof/attestation of campaign metrics if you want an auditable layer

Architecture (simple and scalable)

Frontend: React + Tailwind + Recharts (fast to ship, good visuals)
Backend API: Node/Express (ingest + query)
Storage: start with SQLite/Postgres; scale to ClickHouse later
Event model: tenant_id, event, url, referrer, utm_*, wallet, timestamp

Production-ready starter code (Frontend + Backend)

Below is a working starter that can be can run in minutes:

A modern analytics dashboard UI (multi-tenant selector, date range, KPIs, charts, table)
A simple backend with:
- POST /api/events (ingest)
- GET /api/metrics (dashboard query)
- (Real sources can be wired later - (PostHog, Plausible, GA4 export, ClickHouse, Subgraphs, etc.).

1) Backend (Node + Express) — `server.js`

// server.js
// Minimal analytics ingest + metrics API (in-memory store for MVP).
// Replace the in-memory array with SQLite/Postgres/ClickHouse as you scale.

import express from "express";
import cors from "cors";

const app = express();
app.use(cors());
app.use(express.json({ limit: "1mb" }));

/**
 * Event schema (MVP):
 * {
 *   tenantId: "analytics.1" | "scotland.web-3" | ...
 *   type: "pageview" | "click" | "signup" | "purchase" | ...
 *   url: "/pricing"
 *   referrer: "https://example.com"
 *   utm: { source, medium, campaign, content, term }
 *   wallet: "0x..." (optional)
 *   ts: number (ms epoch)
 * }
 */

const events = [];

// Helpers
const clamp = (n, min, max) => Math.max(min, Math.min(max, n));
const parseMs = (v, fallback) => {
  const n = Number(v);
  return Number.isFinite(n) ? n : fallback;
};
const dayKey = (ms) => {
  const d = new Date(ms);
  const yyyy = d.getUTCFullYear();
  const mm = String(d.getUTCMonth() + 1).padStart(2, "0");
  const dd = String(d.getUTCDate()).padStart(2, "0");
  return `${yyyy}-${mm}-${dd}`;
};

app.post("/api/events", (req, res) => {
  const body = req.body || {};
  const now = Date.now();

  const tenantId = String(body.tenantId || "analytics.1").slice(0, 80);
  const type = String(body.type || "pageview").slice(0, 40);
  const url = String(body.url || "/").slice(0, 300);
  const referrer = String(body.referrer || "").slice(0, 300);
  const utm = body.utm && typeof body.utm === "object" ? body.utm : {};
  const wallet = body.wallet ? String(body.wallet).slice(0, 120) : null;
  const ts = clamp(parseMs(body.ts, now), now - 1000 * 60 * 60 * 24 * 365, now + 1000 * 60);

  events.push({
    tenantId,
    type,
    url,
    referrer,
    utm: {
      source: String(utm.source || ""),
      medium: String(utm.medium || ""),
      campaign: String(utm.campaign || ""),
      content: String(utm.content || ""),
      term: String(utm.term || ""),
    },
    wallet,
    ts,
  });

  // Keep memory bounded for MVP
  if (events.length > 200000) events.splice(0, events.length - 200000);

  res.json({ ok: true });
});

// Compute metrics for a tenant and date range.
app.get("/api/metrics", (req, res) => {
  const now = Date.now();
  const tenantId = String(req.query.tenantId || "analytics.1");
  const from = parseMs(req.query.from, now - 1000 * 60 * 60 * 24 * 30);
  const to = parseMs(req.query.to, now);

  const filtered = events.filter(
    (e) => e.tenantId === tenantId && e.ts >= from && e.ts <= to
  );

  // KPIs
  const pageviews = filtered.filter((e) => e.type === "pageview").length;
  const clicks = filtered.filter((e) => e.type === "click").length;
  const signups = filtered.filter((e) => e.type === "signup").length;
  const purchases = filtered.filter((e) => e.type === "purchase").length;

  const conversionRate = pageviews > 0 ? (signups / pageviews) : 0;

  // Time series (daily)
  const byDay = new Map();
  for (const e of filtered) {
    const k = dayKey(e.ts);
    if (!byDay.has(k)) byDay.set(k, { day: k, pageviews: 0, signups: 0, purchases: 0 });
    const row = byDay.get(k);
    if (e.type === "pageview") row.pageviews += 1;
    if (e.type === "signup") row.signups += 1;
    if (e.type === "purchase") row.purchases += 1;
  }
  const series = Array.from(byDay.values()).sort((a, b) => a.day.localeCompare(b.day));

  // Top pages
  const pageCounts = new Map();
  for (const e of filtered) {
    if (e.type !== "pageview") continue;
    pageCounts.set(e.url, (pageCounts.get(e.url) || 0) + 1);
  }
  const topPages = Array.from(pageCounts.entries())
    .sort((a, b) => b[1] - a[1])
    .slice(0, 10)
    .map(([url, count]) => ({ url, count }));

  // Top referrers
  const refCounts = new Map();
  for (const e of filtered) {
    if (e.type !== "pageview") continue;
    const key = e.referrer || "(direct)";
    refCounts.set(key, (refCounts.get(key) || 0) + 1);
  }
  const topReferrers = Array.from(refCounts.entries())
    .sort((a, b) => b[1] - a[1])
    .slice(0, 10)
    .map(([referrer, count]) => ({ referrer, count }));

  // Campaign performance
  const campCounts = new Map();
  for (const e of filtered) {
    const c = (e.utm?.campaign || "").trim() || "(none)";
    campCounts.set(c, (campCounts.get(c) || 0) + 1);
  }
  const campaigns = Array.from(campCounts.entries())
    .sort((a, b) => b[1] - a[1])
    .slice(0, 10)
    .map(([campaign, events]) => ({ campaign, events }));

  res.json({
    ok: true,
    tenantId,
    range: { from, to },
    kpis: { pageviews, clicks, signups, purchases, conversionRate },
    series,
    topPages,
    topReferrers,
    campaigns,
  });
});

const port = process.env.PORT || 8787;
app.listen(port, () => console.log(`API running on http://localhost:${port}`));

Run backend

2) Frontend (React + Tailwind + Recharts) — `App.jsx`

This is a complete dashboard UI. It expects the backend above on http://localhost:8787.

// App.jsx
import React, { useEffect, useMemo, useState } from "react";
import {
  LineChart, Line, XAxis, YAxis, Tooltip, ResponsiveContainer, CartesianGrid,
  BarChart, Bar, Legend
} from "recharts";

// Simple helpers
const fmtInt = (n) => new Intl.NumberFormat().format(n ?? 0);
const fmtPct = (n) => `${((n ?? 0) * 100).toFixed(1)}%`;
const daysAgoMs = (d) => Date.now() - d * 24 * 60 * 60 * 1000;

function Card({ title, value, subtitle }) {
  return (
    <div className="rounded-2xl border bg-white p-4 shadow-sm">
      <div className="text-sm text-gray-500">Test2025</div>
      <div className="mt-1 text-2xl font-semibold text-gray-900">{value}</div>
      {subtitle ? <div className="mt-1 text-xs text-gray-500">{subtitle}</div> : null}
    </div>
  );
}

function Table({ title, columns, rows, rowKey }) {
  return (
    <div className="rounded-2xl border bg-white p-4 shadow-sm">
      <div className="mb-3 text-sm font-semibold text-gray-900">Test2025</div>
      <div className="overflow-auto">
        <table className="min-w-full text-sm">
          <thead className="text-left text-gray-500">
            <tr>
              {columns.map((c) => (
                <th key={c.key} className="border-b px-2 py-2 font-medium">
                  {c.label}
                </th>
              ))}
            </tr>
          </thead>
          <tbody className="text-gray-800">
            {rows.map((r) => (
              <tr key={rowKey(r)} className="hover:bg-gray-50">
                {columns.map((c) => (
                  <td key={c.key} className="border-b px-2 py-2">
                    {c.render ? c.render(r) : r[c.key]}
                  </td>
                ))}
              </tr>
            ))}
            {rows.length === 0 ? (
              <tr>
                <td className="px-2 py-6 text-gray-500" colSpan={columns.length}>
                  No data in this range.
                </td>
              </tr>
            ) : null}
          </tbody>
        </table>
      </div>
    </div>
  );
}

export default function App() {
  const [tenantId, setTenantId] = useState("analytics.1");
  const [from, setFrom] = useState(daysAgoMs(30));
  const [to, setTo] = useState(Date.now());
  const [loading, setLoading] = useState(false);
  const [data, setData] = useState(null);
  const [error, setError] = useState("");

  const apiBase = "http://localhost:8787";

  const tenants = useMemo(
    () => [
      "analytics.1",
      "web-3.scotland",
      "web-3.gbr",
      "avgas.1",
      "lettings.1",
      "zipcode.1",
    ],
    []
  );

  async function load() {
    setLoading(true);
    setError("");
    try {
      const url = new URL(`${apiBase}/api/metrics`);
      url.searchParams.set("tenantId", tenantId);
      url.searchParams.set("from", String(from));
      url.searchParams.set("to", String(to));
      const res = await fetch(url.toString());
      const json = await res.json();
      if (!json.ok) throw new Error("API error");
      setData(json);
    } catch (e) {
      setError(e?.message || "Failed to load");
    } finally {
      setLoading(false);
    }
  }

  useEffect(() => {
    load();
    // eslint-disable-next-line react-hooks/exhaustive-deps
  }, [tenantId]);

  // Quick local event simulator so you can see the dashboard populate
  async function simulateTraffic() {
    const pages = ["/", "/pricing", "/partners", "/docs", "/contact"];
    const refs = ["(direct)", "https://x.com", "https://google.com", "https://reddit.com", "https://example.com"];
    const campaigns = ["(none)", "winter-launch", "partner-a", "affiliate-42"];

    const now = Date.now();
    const n = 250 + Math.floor(Math.random() * 400);

    for (let i = 0; i < n; i++) {
      const ts = now - Math.floor(Math.random() * 1000 * 60 * 60 * 24 * 21);
      const roll = Math.random();
      let type = "pageview";
      if (roll > 0.82) type = "click";
      if (roll > 0.92) type = "signup";
      if (roll > 0.985) type = "purchase";

      const payload = {
        tenantId,
        type,
        url: pages[Math.floor(Math.random() * pages.length)],
        referrer: refs[Math.floor(Math.random() * refs.length)] === "(direct)" ? "" : refs[Math.floor(Math.random() * refs.length)],
        utm: { campaign: campaigns[Math.floor(Math.random() * campaigns.length)] },
        ts,
      };

      await fetch(`${apiBase}/api/events`, {
        method: "POST",
        headers: { "Content-Type": "application/json" },
        body: JSON.stringify(payload),
      });
    }

    await load();
  }

  const k = data?.kpis || {};
  const series = data?.series || [];

  return (
    <div className="min-h-screen bg-gray-50">
      <header className="border-b bg-white">
        <div className="mx-auto flex max-w-6xl items-center justify-between px-4 py-4">
          <div>
            <div className="text-lg font-semibold text-gray-900">ANALYTICS.1 Dashboard</div>
            <div className="text-xs text-gray-500">Multi-tenant analytics control plane (MVP)</div>
          </div>

          <div className="flex items-center gap-2">
            <select
              className="rounded-xl border px-3 py-2 text-sm"
              value={tenantId}
              onChange={(e) => setTenantId(e.target.value)}
            >
              {tenants.map((t) => (
                <option key={t} value={t}>{t}</option>
              ))}
            </select>

            <button
              className="rounded-xl border px-3 py-2 text-sm hover:bg-gray-50"
              onClick={load}
              disabled={loading}
            >
              {loading ? "Loading…" : "Refresh"}
            </button>

            <button
              className="rounded-xl bg-gray-900 px-3 py-2 text-sm text-white hover:opacity-90"
              onClick={simulateTraffic}
              disabled={loading}
              title="Generates sample events so you can see the charts update."
            >
              Simulate traffic
            </button>
          </div>
        </div>
      </header>

      <main className="mx-auto max-w-6xl px-4 py-6">
        {/* Date controls */}
        <div className="mb-6 flex flex-wrap items-center gap-2">
          <div className="text-sm text-gray-600">Date range:</div>
          <button
            className="rounded-xl border px-3 py-2 text-sm hover:bg-gray-50"
            onClick={() => {
              setFrom(daysAgoMs(7));
              setTo(Date.now());
            }}
          >
            Last 7 days
          </button>
          <button
            className="rounded-xl border px-3 py-2 text-sm hover:bg-gray-50"
            onClick={() => {
              setFrom(daysAgoMs(30));
              setTo(Date.now());
            }}
          >
            Last 30 days
          </button>
          <button
            className="rounded-xl border px-3 py-2 text-sm hover:bg-gray-50"
            onClick={() => {
              setFrom(daysAgoMs(90));
              setTo(Date.now());
            }}
          >
            Last 90 days
          </button>
          <button
            className="rounded-xl bg-white border px-3 py-2 text-sm hover:bg-gray-50"
            onClick={load}
          >
            Apply
          </button>

          {error ? <div className="ml-2 text-sm text-red-600">{error}</div> : null}
        </div>

        {/* KPIs */}
        <div className="grid grid-cols-1 gap-4 sm:grid-cols-2 lg:grid-cols-4">
          <Card title="Pageviews" value={fmtInt(k.pageviews)} subtitle={tenantId} />
          <Card title="Clicks" value={fmtInt(k.clicks)} subtitle="CTA + interactions" />
          <Card title="Signups" value={fmtInt(k.signups)} subtitle="Form / onboarding" />
          <Card title="Signup rate" value={fmtPct(k.conversionRate)} subtitle="Signups / pageviews" />
        </div>

        {/* Charts */}
        <div className="mt-6 grid grid-cols-1 gap-4 lg:grid-cols-2">
          <div className="rounded-2xl border bg-white p-4 shadow-sm">
            <div className="mb-3 text-sm font-semibold text-gray-900">Traffic over time</div>
            <div className="h-72">
              <ResponsiveContainer width="100%" height="100%">
                <LineChart data={series}>
                  <CartesianGrid strokeDasharray="3 3" />
                  <XAxis dataKey="day" tick={{ fontSize: 12 }} />
                  <YAxis tick={{ fontSize: 12 }} />
                  <Tooltip />
                  <Legend />
                  <Line type="monotone" dataKey="pageviews" strokeWidth={2} dot={false} />
                  <Line type="monotone" dataKey="signups" strokeWidth={2} dot={false} />
                  <Line type="monotone" dataKey="purchases" strokeWidth={2} dot={false} />
                </LineChart>
              </ResponsiveContainer>
            </div>
          </div>

          <div className="rounded-2xl border bg-white p-4 shadow-sm">
            <div className="mb-3 text-sm font-semibold text-gray-900">Daily signups</div>
            <div className="h-72">
              <ResponsiveContainer width="100%" height="100%">
                <BarChart data={series}>
                  <CartesianGrid strokeDasharray="3 3" />
                  <XAxis dataKey="day" tick={{ fontSize: 12 }} />
                  <YAxis tick={{ fontSize: 12 }} />
                  <Tooltip />
                  <Bar dataKey="signups" />
                </BarChart>
              </ResponsiveContainer>
            </div>
          </div>
        </div>

        {/* Tables */}
        <div className="mt-6 grid grid-cols-1 gap-4 lg:grid-cols-2">
          <Table
            title="Top pages"
            columns={[
              { key: "url", label: "URL" },
              { key: "count", label: "Pageviews", render: (r) => fmtInt(r.count) },
            ]}
            rows={data?.topPages || []}
            rowKey={(r) => r.url}
          />

          <Table
            title="Top referrers"
            columns={[
              { key: "referrer", label: "Referrer" },
              { key: "count", label: "Pageviews", render: (r) => fmtInt(r.count) },
            ]}
            rows={data?.topReferrers || []}
            rowKey={(r) => r.referrer}
          />
        </div>

        <div className="mt-6">
          <Table
            title="Campaigns (by events)"
            columns={[
              { key: "campaign", label: "Campaign" },
              { key: "events", label: "Events", render: (r) => fmtInt(r.events) },
            ]}
            rows={data?.campaigns || []}
            rowKey={(r) => r.campaign}
          />
        </div>

        <footer className="mt-10 text-xs text-gray-500">
          Tip: Once deployed, keep the dashboard on your Web2 twin for HTTPS trust, and treat ANALYTICS.1 as the namespace and API brand.
        </footer>
      </main>
    </div>
  );
}

Create the frontend project

Use Vite + React + Tailwind + Recharts:

Add Tailwind

Update tailwind.config.js:

Update src/index.css:

Replace src/App.jsx with the code above.

How to deploy the Dashboard under ANALYTICS.1)

Recommended deployment pattern (dual-stack):

Host dashboard at your Web2 twin: https://analytics.website/dashboard (or similar)
Brand the product as ANALYTICS.1 Dashboard
Provide gateway access links like: https://hns.to/analytics.1 that redirect users to the Web2 dashboard

Who it serves best:

Web-3 Network admin: oversees all WEB-3 Network tenants
Partners: view their own tenant dashboards
Future buyers: immediately see the “namespace-as-a-network” story

What to build next to increase value quickly:

Add tenant onboarding + API keys
Add role-based access (admin/partner/viewer)
Add conversion funnels and a simple alert system
Add on-chain event ingestion (wallet connect, mints, lease payments)

Next.js + Postgres + ClickHouse (later) is the best balance of speed to ship, enterprise credibility, and scaling headroom.

Frontend + API

Next.js (App Router) + TypeScript
Tailwind for UI
Recharts (or Tremor) for charts
Host on Vercel (fast deploys, global CDN)

Auth / Tenancy

Clerk or Auth.js (NextAuth)
- Clerk is fastest if you want polished org/role management.
- Auth.js is great if you want “own it” and keep costs down.
Use “Organizations” / “Teams” for multi-tenant access

Primary data store

Postgres (Supabase or Neon)
- Supabase if you want admin UI, edge functions, and storage built-in.
- Neon if you want pure Postgres + excellent scaling.

Event ingestion

Start with: Next.js API route (or a tiny Node service) writing to Postgres
After you get traction: move event storage to ClickHouse for cheap, fast analytics queries.

Why this stack wins

You can ship a serious MVP in days.
Postgres is perfect for tenants/users/billing/config.
ClickHouse is the industry standard for high-volume analytics events (PostHog uses it).
This stack is easy to sell to partners/investors.

What lives where

Postgres: users, tenants, sites, API keys, feature flags, billing, alerts
ClickHouse: raw events + aggregated rollups

Alternative 1 (fastest MVP): Next.js + Supabase only

To launch very quickly and keep infra simple:

Next.js + Supabase (Postgres + Auth + Storage + Edge Functions)
Store events in Postgres first, roll up daily aggregates
When the dataset grows, add ClickHouse later

Pros

One vendor does most things
Very fast to implement multi-tenancy
Great dashboards/admin convenience

Cons

Postgres is not ideal for massive event volumes long-term (but fine early)

Alternative 2 (privacy-first + low overhead): Cloudflare stack - “web3-native vibes” + global edge + low cost:

Cloudflare Pages (frontend)
Cloudflare Workers (ingest API at the edge)
D1 (SQLite-ish) for config
R2 for raw event blobs
Optional: send events to ClickHouse later

Pros

Very cheap at scale for ingestion
Extremely fast globally
Great for “endpoint” positioning (analytics.1 feels like edge infra)

Cons

More engineering complexity than Next.js+Supabase
D1 isn’t as flexible as Postgres for complex analytics queries

Customization for the WEB-3 Network)

The Web-3 network will comprise many TLD sites, leasing, partner pages, payments, analytics). So it needs:

multi-tenant roles
partner dashboards
billing + metering
long-term scale

Appropriate stack

Next.js + TypeScript + Tailwind + Auth (Clerk/Auth.js) + Postgres (Supabase/Neon) + ClickHouse later

The shortest path:

Next.js + Supabase + Recharts
Add ClickHouse only when event volume demands it

Practical “starter architecture”

Week 1 MVP

Next.js dashboard (tenant selector, KPIs, charts, referrers, campaigns)
Event snippet → /api/collect
Postgres tables:
- tenants, sites, api_keys
- events (or daily_rollups)

Week 2

Organizations/roles
Alerts (traffic spike/drop)
Funnel tracking
Export CSV

Week 3+

ClickHouse event store
Real-time dashboards
On-chain event connectors (wallet connect, mints, lease payments)

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Gateways to Web 3

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Web-3 Domains are distributed on a blockchain, which provides more resistance to security scams and hacking attempts.

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The Prime domains are a great marketing tool that can help facilitate the marketing and branding of sites and help their discovery on the web.

They are also valuable assets that increase in value. They have a lot of value within the Programme.

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Examples are Web 3 Domains for different industries/countries as below

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AI.gbr (For Great Britain/The UK)

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The Domains featured are Prime domains for web-3 that are a great marketing tool that can help facilitate marketing and branding.

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Web 3 Domains FAQ

Will I be able to transfer my domain?

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Will I be able to search for and find Web 3 domain websites on Google or other search engines?

Major search engines don't currently index Web 3 domain websites since the content is hosted on p2p networks such as IPFS.

TDC is operating a Web 3 Directories Programme as part of an IBM Partner Programme to enable discovery

are not part of the current DNS.

TDC also creates Web2-Web3 domain "twins," allowing users, brands, and companies to take the best from both worlds and fully leverage the power of Web 3 domains within the traditional Internet space.

The Web2 twin can be picked up in traditional search engines and will point to the Web 3 Twin

Available IBM Resources

With the emergence of Blockchain technologies, new means of values exchange have developed, that can provide huge cost and time savings.

The Internet has undergone massive changes and is seeing the emergence of Web3.

Web1 was the Internet of Information and Web 2 was the Transactional and Social Internet. Web 3 is the Internet of value, that is blockchain facilitated to allow value to be transferred across the Web.

Web 3 is a paradigm which is changing the Internet. As part of the IBM partner programme, organizations who buy the Domain NFTs, can be offered The IBM "Cloud Pack for Integration".

This provides tools for application integration and API management, which can be used to create and manage APIs for required operations.

That way, those organizations can run integrated programmes that are customized for them. The first step in that regard, would be a discovery call with a specialist from IBM which would be arranged.

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