Digital Token Radar is an independent, author-led site on crypto, distributed ledger technology and AI, written from primary sources and published slowly on purpose. I built it first for myself, to stay up to speed on where blockchain and AI overlap and to try to get on the front side of the move rather than chase it.

Key takeaways

  • Digital Token Radar is my own research process made public: zoom out, ignore daily, weekly and even monthly noise, and look for the overlap and the pattern.
  • My thesis is that we are at a nexus point. AI makes decisions; ledgers record who owns what and move value. I think the overlap between the two is where the next wave of growth in technology, resources and finance will come from.
  • The filter I first applied to ICO white papers in 2017 (a real use case, real savings, a clear roadmap) is the filter this site applies to everything.
  • The problem that drew me to Ripple in 2017 is still not solved for most businesses: in October 2026 my own international business transfers still take days and cost £9 each.
  • As of 18 October 2026 total crypto market capitalisation is about US$2.7 trillion, according to CoinGecko, while most attention is on AI. I read that divergence as a setup worth watching. That is my view, not advice.

What Digital Token Radar is

Digital Token Radar covers digital tokens, stablecoins, tokenisation, payments, Bitcoin and the market structure that connects them, with one named author accountable for every piece. A brief background: I have spent a decade reading data, numbers and charts in performance marketing, and you can find more on my author page. How each article is researched, how AI tools are used and how corrections work is set out in the editorial policy.

Every article starts from sources I have read myself, carries my byline, and separates the reporting from my own view, which always sits in a section labelled “My take”.

Why I built it for myself first

This site is how I stay current on blockchain, distributed ledger technology (DLT) and AI. If I have an edge, it is zooming out. Years of performance marketing taught me that most short-term movement in a dataset is noise. So I ignore the daily, weekly and even monthly noise of prices and predictions, and look for where things overlap and where a pattern is forming.

Writing that process down, with sources attached, keeps me honest. Publishing it is the next step.

The 2017 moment: separating signal from noise

In early 2017, initial coin offerings (ICOs) were going parabolic, with rapid booms and busts. My job, as I saw it, was separating the signal from the noise.

I read the white papers project by project and applied what I knew from equities: technical and fundamental analysis. On fundamentals, I looked for three things:

  1. A real use case: a problem that exists outside crypto.
  2. Real savings and benefits: something measurably cheaper, faster or better.
  3. A clear roadmap: a credible plan for integration and disruption, not just a token.

The one that stood out was Ripple — the company, not just the XRP token — and what it was doing with ledger technology to bring efficiency to dated, archaic financial rails. Today Ripple describes its Ripple Payments product as a single platform for cross-border payouts in fiat and stablecoins that can “bypass correspondent banking”, with payouts “in minutes, not days” and coverage of more than 60 markets, according to its own product page.

I have been all in since. I am not a “Ripple maxi”: I also believe in Bitcoin as digital gold, and in other layer-1 networks. But Ripple’s fundamentals are what got me in, and that same three-part filter is what Digital Token Radar applies to every project and claim it covers.

The second penny drop: The Bitcoin Standard and the evolution of money

Around 2018 I read Saifedean Ammous’s The Bitcoin Standard: The Decentralized Alternative to Central Banking, published by Wiley in 2018, which traces the history of money from seashells to metals, the gold standard and modern government money, according to Wiley’s announcement. That is when I understood the role money and payment systems play in an economy.

The story runs roughly from seashells to beads, silver, gold and then fiat, and at each turning point technology changed what could work as money:

  • Shells and beads worked while they were hard to produce. Ammous’s example is glass beads: once technology made them cheap to mass-manufacture, they lost their value as money.
  • Silver, then gold: better mining tools made both available in quantity, and gold went on to anchor global commerce under the classical gold standard of the late 19th century.
  • Paper and fiat: gold is slow and heavy to move, so paper claims on it took over. The dollar-centred system dates from the Bretton Woods agreement of 1944, and it became fully fiat when dollar–gold convertibility ended in 1971.

It is worth keeping that technology thread honest. In Ammous’s telling, technology also destroys monies, by making them easy to produce; Bitcoin’s design answer is a fixed supply. My broader framing, that technology drives each monetary era, sits alongside that rather than replacing it.

My conviction is that blockchain and DLT are the next technology in that chain: transparent, programmable, and not dependent on opaque, centralised systems whose failures erode trust and whose money supply can be expanded at will, which I see as a driver of inflation. That is my view, not settled fact. We may not even call it “money” in future. It may look more like an exchange of value or energy, which ledger technology can do faster, more transparently and more efficiently.

The nexus of AI and blockchain

Yuval Noah Harari’s Nexus: A Brief History of Information Networks from the Stone Age to AI (Random House, 2024) is, in its publisher’s words, a history of how information networks “have made, and unmade, our world”, ending with the choices posed by AI. Harari treats AI as the next critical turning point in that story.

I think blockchains and tokens are the other half of it. They are networks too: networks of ownership and value. AI and blockchain are usually covered as rival hype cycles. I see them as two halves of one nexus. AI makes decisions; ledgers record who owns what and move value. Autonomous AI agents will need programmable money and ownership rails, and that overlap is the opportunity. It is why AI × crypto is one of the site’s core topics.

Raoul Pal, co-founder and CEO of Real Vision Group, frames something similar as the “Exponential Age”: the convergence of exponential technologies and digital assets. Harari, Ammous and Pal shape my thinking, but the connections drawn on this site are my own.

Distributed ledger technology payments: the rails problem in 2026

I run my business from Gibraltar. In 2026 I still cannot move money out of my business bank account at weekends. International transfers take days, cost me £9 each, and almost certainly pass through several intermediary banks.

In 2026 I should be able to pay a freelancer or contractor as easily as sending a WhatsApp message. Revolut-style apps and SEPA in Europe have smoothed the surface, but the system underneath is still archaic.

This is not only my complaint. The Bank for International Settlements, in Chapter III of its Annual Economic Report 2023, describes cross-border payments that rely on sequential messages across siloed databases, with differences in operating hours and holidays causing delays, and with more intermediaries such as correspondent banks adding operational risk. Its answer is tokenisation and a programmable “unified ledger”, which it calls “the next logical step in digital recordkeeping and asset transfer”.

To be clear, the BIS is sceptical of crypto itself: the same chapter argues crypto cannot become the future of money. I cite it for the rails argument only. But when the central banks’ own bank agrees the plumbing needs rebuilding on ledger technology, the gap I live with every month looks less like an inconvenience and more like a structural opening. My own £9, multi-day transfer is everyday proof that the problem Ripple targeted in 2017 still is not solved for most businesses. There is more on this in the XRP and payments topic.

The live signal: the front side of the move

As of 18 October 2026, total crypto market capitalisation is about US$2.7 trillion, according to CoinGecko. That is down from a reported record of roughly US$4.3 trillion in early October 2025. You can follow the figure on the site’s crypto market cap page.

Meanwhile almost everyone’s attention is on AI, and understandably so. I use it every day, and I could not have built this media business without it.

My read is that while attention is elsewhere, the building in blockchain and DLT continues, and that divergence is the kind of setup I have learned to watch for. I am personally accumulating. That is my own positioning, described for transparency. It is not a recommendation, and there are no price targets here.

What you will find here, and what you won’t

You will find news on developments that matter, analysis that connects several primary sources, and plain-English guides, all tested against the same filter: real use case, real savings, clear roadmap. The Radar maps everything published, so you can see how the pieces connect.

You will not find price calls, trading signals or paid coverage. No project pays to appear on this site, and the site publishes no more than three pieces a week, because fewer, better articles are more useful than a feed of headlines.

If you’re here, you’re paying attention early — and in every wave I’ve worked through, that’s where the advantage starts.

A note on conviction and disclosure

I have held digital assets since 2017, including XRP and Bitcoin, which is why this article carries a holdings disclosure at the top. My full holdings are listed on my author page, and any article about an asset I hold says so. Conviction is not a substitute for evidence, which is why every piece lists its sources so you can check the work. Nothing here is financial advice.

My take

I built Digital Token Radar first for myself: it is how I stay up to speed on blockchain, distributed ledger technology and AI, and how I try to get on the front side of the move. My thesis is that we are at a nexus point. Harari argues that information networks shape human history and that AI is the next critical turning point. I think blockchains and tokens are the other half of that story, networks of ownership and value, and the overlap between AI and ledger technology is where the next wave of growth in technology, resources and finance will come from.

My edge, if I have one, is zooming out. I ignore the daily, weekly and even monthly noise and look for the overlap and the pattern. That is what this site is for.

Frequently asked questions

What is Digital Token Radar?

Digital Token Radar is an independent, author-led site covering crypto, digital tokens, distributed ledger technology and their overlap with AI. Each article is built from at least two primary sources and separates reporting from opinion, with the author’s view in a labelled “My take” section.

Who writes Digital Token Radar?

Every article is written and approved by Luke Zgaga, the site’s founder and editor. AI tools help with research, structure and drafting, but each piece is reviewed, edited, fact-checked and approved by Luke before it is published, as set out in the editorial policy.

How often does Digital Token Radar publish?

At most three pieces in any rolling seven days, and no more than one a day. The pace is deliberately slow so that each article can be sourced and checked properly.

Is Digital Token Radar financial advice?

No. It is analysis and commentary, and nothing on the site is a recommendation to buy, sell or hold any asset. The author holds some of the assets discussed, which is disclosed on the relevant articles and on the author page.

Sources

Primary sources reviewed for this article:

  • investors.wiley.com — Saifedean Ammous, The Bitcoin Standard (Wiley, 2018): publisher announcement.
  • www.penguinrandomhouse.com — Yuval Noah Harari, Nexus: A Brief History of Information Networks from the Stone Age to AI (Random House, 2024): publisher’s book page.
  • www.bis.org — Bank for International Settlements, Annual Economic Report 2023, Chapter III, “Blueprint for the future monetary system: improving the old, enabling the new” (tokenisation and the “unified ledger”).
  • www.coingecko.com — CoinGecko global cryptocurrency market capitalisation.
  • ripple.com — Ripple’s official cross-border payments page (Ripple Payments).
  • www.realvision.com — Real Vision’s contributor page for Raoul Pal, co-founder and CEO of Real Vision Group.

Key claims checked against independent sources:

  • Total crypto market capitalisation was about US$2.7 trillion on 18 October 2026, according to CoinGecko. Verified — CoinGecko global data API. API returned US$2.706T, updated 18 Oct 2026 15:28 UTC; the article links the global-charts page, which shows the same data
  • Total crypto market capitalisation reached a reported record of roughly US$4.3 trillion in early October 2025. Broadly confirmed — RockawayX Quarterly Insights Q4 2025. RockawayX gives an all-time high of $4.3tn in October 2025, but Binance Research puts the 2025 peak near $4.2T, so the figure depends on the data provider; ‘reported … roughly’ is the right hedge
  • BIS Annual Economic Report 2023 Chapter III describes cross-border delays from sequential messages across siloed databases, differences in operating hours and holidays, and intermediaries such as correspondent banks, and calls the unified ledger ’the next logical step in digital recordkeeping and asset transfer’. Verified — BIS Annual Economic Report 2023, Chapter III. exact quote and all the paraphrased points confirmed in the chapter text
  • Ripple’s product page describes Ripple Payments as cross-border payouts in fiat and stablecoins that can ‘bypass correspondent banking’, with payouts ‘in minutes, not days’ and coverage of more than 60 markets. Verified — Ripple — Cross-Border Payments. page says ‘60+ markets’ and ‘17+ fiat currencies plus major stablecoins’; both quotes are on the page; this is Ripple’s own marketing claim
  • Saifedean Ammous’s The Bitcoin Standard was published by Wiley in 2018 and traces the history of money from seashells through metals and the gold standard to modern government money. Verified — John Wiley & Sons press release (23 May 2018). US publication 6 April 2018; the release mentions limestones and seashells, metals, gold standard and government debt
  • Penguin Random House describes Nexus as the story of how information networks “have made, and unmade, our world”. Verified — Penguin Random House — Nexus. exact phrase in the publisher’s description; hardcover published 10 September 2024
  • Raoul Pal is co-founder and CEO of Real Vision Group. Verified — Real Vision — Raoul Pal. page title reads “Co-founder & CEO of Real Vision Group”