The Bitok Arena Editorial Team
Thirty practitioners. Seventeen countries. Zero armchair experts.
Money is made today. That is what our entire platform is about. This page is about the people who make it.
This editorial team has a single hiring rule — simple in words, nearly impossible in practice: the only people who write about money here are those who have been inside. Traded. Built. Sold. Lost. Got back up. Not "researched the topic," not "follows the space" — been inside: with accountability, with results, with the price of a mistake.
That is why trading here is covered by someone who spent six years trading options at a market maker. Brokers — by someone who spent eight years on the other side of a dealing desk. E-commerce — by an operations manager who reconciled Shenzhen factory invoices with an Amazon ad account. SaaS — by a co-founder who grew a company to a million euros in annual revenue and sold it. Franchises — by a manager who spent six years selling them and knows the fate of every single franchisee signed. Money-making schemes — by a financial fraud investigator holding the Certified Fraud Examiner credential.
Not one secondhand voice retelling other people's news. Not one "expert on everything." Thirty people, seventeen countries, twenty-seven cities — from New York to Seoul, from Stockholm to Shenzhen.
Meet the crew of Bitok Arena.
The Editorial Team in Numbers
Thirty specialists from seventeen countries: the United States, the United Kingdom, Canada, Germany, Australia, Sweden, the Czech Republic, Poland, South Korea, China, Japan, Spain, Portugal, Italy, France, Switzerland, and Austria. More than two hundred years of combined experience inside the industries we cover — not in media about those industries, but in the industries themselves: funds, banks, exchanges, startups, marketplaces, and dealing desks.
CFA charters, ACCA and CFE credentials, degrees from Wharton and Stanford, Imperial College and Bocconi, KAIST and Keio, McGill and Charles University. Three of them built and sold businesses of their own: a DTC brand with seven-figure revenue, a B2B SaaS company, a chain of coffee shops. A lineup like this is not assembled with a job posting — we spent as long as it took to bring it together.
How We Look at Money
Analytics is a position backed by an argument. Not pretty charts and smart-sounding terms, but the ability to separate fact from marketing, trend from hype, a working scheme from a beautifully packaged empty promise. Texts that say "the market may go up or down" do not get published here.
We are not advisors, not oracles, and not guarantors. We are not standing next to your money, and we know neither your horizon nor your appetite for risk. No one writing on the internet knows this — and anyone who hands out specific advice anyway is either lying or selling. We show how things work. The conclusion is yours.
Our neutrality is independence. We don't sell crypto courses — so there's no reason for us to hype the latest altcoin. We don't earn a commission from a broker — so there's no reason to talk you into opening an account. We're not partners of the latest startup — so we write about it exactly as we see it. A rare position for media in the money niche. We hold it.
Both sides of the coin. The history of business is not only Forbes 30 Under 30. Studying only successes means seeing half the picture — which is why failures are a full-fledged genre here, with people of its own. You will find them below.
How a Story Is Made
We pick up a topic before everyone writes about it: our own reconnaissance reads search demand, communities, and the movement of money — and tells a rising wave from an overheated one. Then we find out what actually hurts the reader: not "which broker is best," but "how do I avoid losing my first two thousand dollars." The brief goes to the practitioner of the relevant desk. Numbers are calculated, not quoted — the editorial team runs its own research databases, from a creator earnings panel to a failure database. Then comes the toughest acceptance process in the niche: commissioning editors send back roughly a third of all texts — not for style, but for lack of a position. A headline can be as bold as it likes — but it must be paid for by the text.
Yes, this is slower than a content farm. That's the point.
Geography: Writing About the Market From Inside the Market
Bitok Arena is a distributed editorial team — not as a tribute to remote-work fashion, but as an editorial principle: a market should be written about from inside that market.
We cover Asian crypto regulation from Seoul and Tokyo — on the day a law passes, not from a retelling a month later. E-commerce — from Shenzhen, where a significant share of everything sold by every dropshipping course in the world is physically manufactured. Jurisdictions and taxes — from Zug, where Swiss banking meets Europe's largest crypto cluster. The stock market — from New York and Chicago. Venture capital — from San Francisco. The creator economy — from Los Angeles. Freelancing — from Lisbon, the capital of digital nomads. Offline business — from Milan, where our analyst built, made profitable, and sold her own chain of coffee shops.
Our map: New York, Chicago, Miami, Austin, Los Angeles, San Francisco, London, Manchester, Montreal, Toronto, Frankfurt, Berlin, Stockholm, Prague, Warsaw, Milan, Paris, Barcelona, Lisbon, Vienna, Zug, Sydney, Seoul, Tokyo, Shanghai, Hong Kong, and Shenzhen.
Different time zones are also speed: the market never sleeps, and an editorial team stretched across the planet doesn't sleep with it.
The Editorial Core
Four people every text on the platform passes through. They don't write the most — they answer for everything: the analytical bar, acceptance, methodology, independence of view. Because of these people, a weak piece does not get published on Bitok Arena. Ever.
Ethan Caldwell
An NYU Stern finance graduate and CFA charterholder. Seven years in equity research at an investment bank — hundreds of reports where every phrase had client money behind it. Then six years building his own subscription analytics publication and turning it into a business readers pay for. Equally fluent in quarterly filings, tokenomics, and article drafts — and he instantly spots the place where an author swapped an argument for intonation.
At Bitok Arena he holds the most important thing — the platform's position. Analytics here is defined strictly: a position backed by an argument — no hype, no panic, no buy-or-sell recommendations. Every flagship breakdown and every investigation passes through him; he puts the final word in disputes when two desks see the same market differently. And he writes two or three major breakdowns a month himself: the easiest way to hold the bar is with your own text.
For seven years I wrote reports where every word cost money. That school never lets go: a text that can't survive the question 'prove it' doesn't leave my desk. We don't advise anyone on anything — we show how money works. More precisely than anyone on the market.
Imogen Blackwood
Economics at Warwick, an MSc in Finance from Bayes Business School, CFA Level III. Five years running multi-asset portfolios on the buy side, three years writing her own paid crypto research newsletter — with subscribers who voted for her analysis with their money — and another three editing the investment section of an analytical media outlet. A person you cannot wrap a weak argument in jargon for: she will recalculate the returns herself and read the tokenomics herself.
Every investment and crypto piece crosses her desk. The questions are always the same: where is the position, where is the argument, where do the numbers come from, what happens if the author is wrong. She runs the publishing plan for her desks and writes comparative breakdowns of strategies, platforms, and products herself — setting the standard for the genre.
I send back roughly a third of all texts. Not because they're badly written — because there's no position in them. 'The market may go up or down' is not analytics. 'The strategy shows 12% in a backtest, but nine of the twelve years were made by a single year — and here's what that means' is analytics. Authors don't like me for the first three months. Then they thank me.
Nathan Beaulieu
A McGill Bachelor of Commerce, an MBA from Rotman. But his real diploma is a DTC brand on Shopify — built from zero, grown to seven-figure annual revenue, and sold after five years. Dropshipping, marketplaces, affiliate programs — he has been through all of it personally, and he knows exactly where those stories usually start getting embellished. Possibly the only editor in the industry who can ask an author "have you actually done this yourself?" — and show his own P&L.
He accepts the Online Business, Business, and Failures desks, and he has a single test: if the reader tries this tomorrow — what did they not learn? A guide to entering a niche without the cost of entry, the time to first money, and the typical failure points goes back to the author. Case studies he accepts only on documents and data — not on the hero's self-presentation.
When I was selling my brand, my real numbers and what the internet wrote about dropshipping had nothing in common. That gap is my job. Every business piece must contain the number they don't show you in the $997 course: what the first customer costs and how many months you'll be in the red.
Friederike Baumann
A master's in statistics from LMU München. Six years testing financial products — brokers, funds, insurance — at a German consumer-testing organization: the school where comparison methodology is a point of professional pride, not a formality. Two more years as a methodologist at a research firm. German precision in its purest form.
She is the keeper of the platform's methodology: how we calculate returns, how we estimate creator earnings, how we compare brokers. The most inconvenient person in the editorial office — by job description: no number without an origin and no comparison with rules invented after the fact gets past her. Authors may argue with her about wording. About methodology — never.
If the criteria aren't fixed before the comparison starts, the result is worth nothing. I come to the author with the question 'by what rule did you calculate this?' — and if the rule appeared after the conclusion, the text gets redone. Boring work. It's exactly what separates analytics from opinion.
Topics, Reader Questions, Headlines
Analytics is useless in two cases: when it answers the wrong question — and when nobody opens it. These three close both risks: we write about what matters, answer what people actually ask, and say it in a way that is impossible not to read.
Tyler Brandt
A University of Michigan economist with a master's in data science from the same school. Four years researching demand on the growth team of a fintech app, three years leading research at a company that sells trend intelligence to media and brands. His profession: catching the moment before a topic becomes common knowledge.
Every editorial week starts with his question: what to write about now — and what it is already too late to write about. His early-detection system reads four streams of signals: search demand across income niches; communities — Reddit, X, Discord, Telegram; the movement of money — funding rounds, platform payout changes, new offers; regulatory events. Every topic gets a phase and a suggested angle. Overheating, for him, is not a reason to stay silent — it's a signal for a skeptical breakdown.
A topic everyone is writing about is usually dead for us. What interests me is the moment when the same question appears in three subreddits at once and nobody has an answer yet. Or the reverse: when twenty people are suddenly selling a course on 'how to earn on X' — that means X is overheated, and it's time to count who actually came out ahead.
Chloe Nguyen
A University of Sydney psychologist with a master's in behavioral science from LSE. Five years researching the users of a neobank and an investing app: hundreds of interviews on how people actually make decisions about money — where they're afraid, where they trust the wrong things, where they lose.
Her job is to find the real question behind the topic. She reads what people write when nobody is editing them: income-niche subreddits, the Whirlpool, MoneySavingExpert, and Bogleheads forums, Discord servers, reviews, "People also ask" boxes, the comments under our own articles. The result, for every topic, is a pain map: what the person has already tried, where they lost money or time, what question they are really asking, and what answer they will consider honest. Without that map, the brief doesn't go to the author.
A person googles 'best broker for beginners,' but their real question is 'how do I not lose my first two thousand dollars the way my coworker did.' A text that answers the first question and stays silent on the second is useless. I bring the author the second question. And the third — the one the reader is embarrassed to ask even Google.
Callum Ashworth
A Leeds philologist with an NCTJ journalism diploma. Six years producing the consumer-finance section of a mass-market British publication — where a headline has to sell a story about pensions to a million readers. Three more years as a growth copywriter at a paid money newsletter: hundreds of A/B tests of headlines and opening paragraphs, each with a measurable result.
He makes sure the analytics get read: headline, lead, subheads, the phrasing of the conclusion — everything a person sees before deciding to read. He personally holds the platform's rule: a headline can be as provocative as it likes, but it must be paid for by the text. He works from the pain map — provocation, in his hands, means calling things by their names. And he retunes hooks for different markets: the formula that grabs an American reader triggers distrust in a German one.
An honest headline and a boring headline are not synonyms. 'Why 80% of people who bought a dropshipping course never sold a single item' is a provocation in which every word is backed by numbers from the text. Clickbait is when the promise is bigger than the content. My job is to make the content bigger than the promise — and have the promise still hit a nerve.
Data & Research
"According to our data" — three words that usually mean nothing on the internet. Here, they are backed by three people and the platform's own research databases. Where competitors answer with an impression, we answer with a number.
Linnea Bergström
A KTH Royal Institute of Technology engineer. Seven years of data science in fintech — credit scoring, user behavior — and on the analytics team of a fast-growing marketplace. She knows how to build datasets where others retell somebody else's numbers.
Her domain is the platform's research databases: the creator earnings panel, the freelance rate index, the affiliate payout database, the unit economics of offline formats, the franchise database, the failure database. She designs the research — decides what can be counted, what can only honestly be surveyed, and what will forever remain an anecdote — and publishes original studies every month that other media then cite.
The question 'how much does a freelance designer in Lisbon actually earn' has an answer — but only if you're willing to collect a thousand profiles instead of asking three friends. I'm here so that we answer such questions with a number while our competitors answer with an impression. And so that under every number it says how it was obtained.
Ondřej Kratochvíl
Financial mathematics at Charles University — the same Prague school that produces quants. Four years building and testing strategies at a prop trading firm, managing risk on real money, plus two years of independent research into crypto and stock strategies.
He calculates everything connected to returns. He backtests strategies from courses and Telegram channels — with commissions, slippage, taxes, and survivorship, that is, the way their sellers never calculate them. He runs the real results of dividend portfolios, dollar-cost averaging, index investing, staking, and "yield-bearing" DeFi protocols; he models "bought at the peak" scenarios. His calculations are the foundation of every one of our breakdowns of "a guaranteed 20% a month."
Any strategy looks profitable if you show the right segment. I show all the segments. When a guru promises 5% a month, I calculate how many years the world's best funds have sustained that result. Usually — zero. Math isn't cruel. It just doesn't sell courses.
Katarzyna Zielińska
Computer science at AGH in Kraków, a master's in data science from the Warsaw University of Technology. Five years as a data analyst at a major e-commerce marketplace: seller economics, commissions, conversions; two more years in ad-platform analytics. She has seen the internal numbers of industries that outsiders know only through success stories.
She calculates platform economics: freelance-platform rates by skill and country, RPM and CPM by niche, sponsorship rates, affiliate program payouts, SaaS pricing and churn, marketplace commissions, the unit economics of offline formats by city. Her "what this actually brings in" tables are a signature product of the platform — the one every business and online-income section leans on.
For five years I saw the inside of a marketplace: how much the median seller earns, not the one they put on stage at the conference. The median is the most honest number in the economics of income, and almost nobody publishes it. We do.
Investments & the Exchange Business
Four specialists who saw the market from the side where it is made: from equity research, from a broker's dealing desk, from behind a market maker's terminal, and from inside a platform where the numbers for "expected returns" are born. They explain not "what to buy," but how the instruments work, who earns on them and at whose expense — and what the person who loses usually does.
Aaron Kessler
Wharton, economics and finance, a CFA charter. Five years in equity research at an investment bank, four years as a portfolio analyst at a dividend strategies fund. He runs his own portfolio: the man explaining the market stands in the market himself.
His section is the stock market and traditional investing: stocks, ETFs, bonds, dividend and index strategies, value investing — how it works in practice, not on an exam. He breaks down the products sold to retail investors — robo-advisors, thematic ETFs, structured notes — teaches how to read filings on living companies, and writes about the personal finance system as mechanics to be understood, not a set of mantras.
For nine years I watched the same instruments produce 8% a year in one pair of hands and minus 30 in another. The difference is not in the instrument. That's why I don't write 'what to buy.' I write how the instrument works, who earns on it and at whose expense, and what the person who loses usually does. From there the reader will figure it out — they know their situation better than any author.
Hamish McLeod
Finance at UNSW and a Graduate Diploma of Applied Finance. Eight years inside the brokerage industry: first the dealing desk of a CFD and FX broker, then operations and compliance manager at an online broker. Australia is the world capital of CFDs and one of the toughest regulators, so his schooling matches: he knows how a broker earns on a client, and he remembers by heart where that is written in the fine print.
His territory is the industry every investing reader's money passes through: spreads, commissions, margin, swaps, payment for order flow, A-book and B-book, execution, IPOs, clearing. He compares brokers and exchanges, reads licenses — ASIC, FCA, SEC and FINRA, BaFin, CySEC, offshore — and explains what actually protects the client and what is just a sign on the door. And he spots clone firms, pseudo-brokers, and the withdrawal terms that keep people from getting their own money back.
I sat on the other side of the terminal and watched a B-book broker literally earn on a client's loss. It's legal — if disclosed. The problem is that almost nobody reads the disclosure. I read it — and retell it so a person understands who the counterparty in their trade really is.
Nadia Rahman
Imperial College, a master's in Mathematics and Finance. Six years trading options at a market maker — where a mistake in the greeks shows up by evening — then three years as an independent trader on her own capital and a risk management consultant. One of the few people in media who talks about trading from the position of money earned, not drawn.
She covers active trading without illusions — futures, options, CFDs, spread betting, copy trading, signal channels — with the mathematics of expectancy, leverage, and ruin. Her main specialization is the prop firm industry: how evaluation programs work, what share of participants makes it to a payout, and what the firm actually earns on — more often the evaluation fees than the traders' profits. Trading "academies" she dissects through simple economics — who earns here, the student or the teacher — and she keeps the regulatory disclosures close at hand: 70–85% of retail CFD accounts lose money.
I earned my living trading for nine years, so I don't need to prove it's possible. I need to explain why it doesn't work out for 80% — and why the industry is built to earn precisely on them. A prop firm collecting $200 per evaluation from ten thousand people doesn't need a single one of them to trade profitably.
Sebastian Krüger
A master's in finance from the Frankfurt School of Finance and Management. Four years valuing properties and portfolios as a real estate investment analyst, then three years as a product manager at a P2P lending and crowdinvesting platform. Germany is the European Union's largest market of retail P2P investors, and he knows this industry from the side where the numbers for "expected returns" are born.
He answers for everything beyond the exchange: real estate — rental yields by city, REITs, crowdfunding; P2P and crowdlending, including the history of platform defaults; stakes in private companies; gold and collectibles; and the entire wave of retail "alternatives" — whisky casks, parking spaces, wind farms, wine funds. He has four questions for every asset: where does the yield come from, where is the liquidity, how do you exit, and what happens if the platform defaults. Platforms with the markings of a pyramid he dissects together with our forensic analyst.
I saw from the inside how an 'expected return of 9%' is assembled — and what the first crisis does to it, when half the borrowers stop paying and there is no way out of the asset. Alternatives are neither good nor bad. They are illiquid. That word should stand in the first paragraph of any text about them — and in ours, it does.
Crypto & Digital Assets
Five analysts — and not a single evangelist. A fund, an exchange, code, on-chain data, and regulatory law: crypto covered from all the sides it is usually not shown from. The desk's throughline question is always the same: where is the money here — and who ends up paying it.
Miles Abernathy
Computer science at Georgia Tech, three years of backend development — then six years in crypto on both sides of the table: analyst at a crypto fund with early-round participation, then head of research at an exchange's analytics division. He holds bitcoin and ether; tokens he participated in at early stages he does not write about, as a matter of principle.
He sets the platform's position on the crypto market — the view of an analyst with no stake in the token being promoted. Tokenomics: who receives the tokens, when they unlock, and who will be the seller. Exchange economics, market cycles, stablecoins, mining, layer-2 solutions, ETFs, American regulation. He coordinates the desk's four specialist analysts — and holds the desk exactly halfway between evangelism and panic. Major collapses and major successes he breaks down the same way: as business models.
At the fund I watched a token being built for sale to early investors, not for users. After that you can't read a whitepaper as a document — only as a cap table. We write crypto for people who want to understand who will earn on a project. Sometimes the answer is 'you, if.' More often — 'not you.' Either way, we prove it.
Park Ji-ho
A KAIST engineer with a master's in data science from Seoul National University. Four years detecting manipulation in the trading activity of a major Korean crypto exchange, then two years as an independent on-chain researcher with public dashboards the industry links to. He works inside the most intense retail crypto market in the world.
He reads the blockchain as a primary source: Dune, Nansen, Glassnode, Arkham; wallet tracking, token distribution, insider and fund unlock schedules, real protocol activity versus claimed, wash trading on exchanges and NFT marketplaces, the signs of a rug pull before it happens. He runs the platform's public dashboards. His data is the fire support of our crypto breakdowns and half our investigations.
The blockchain is the only market where you can see what an insider did, not what he said. A project promises 'the team isn't selling' — I look at the wallets. An exchange shows volume — I look at who is trading with whom. I don't need to trust anyone. It's enough to know how to read addresses.
Chen Wei
A software engineer from Zhejiang University with a master's in big data from HKUST. Four years writing smart contracts for DeFi protocols in Solidity, two more auditing other people's. One of those rare analysts who reads a protocol's code, not its landing page. And he keeps the connection to the Chinese-speaking crypto community — one of the largest in the world and nearly invisible to English-language media: the over-the-counter market, the mining diaspora, Hong Kong as the licensed window for mainland capital.
He answers the central question of DeFi — "where does the yield come from" — at the level of code and economics. Staking, lending, restaking, liquidity pools, bridges, derivatives: what actually generates the yield — fees, emissions, or the deposits of the next wave of depositors — what can break, and who really controls the protocol. He tests protocols with his own capital, and his breakdowns of hacks and collapses go into our failure database.
A 30% annual yield in DeFi means one of three things: the protocol pays with its own emissions, the protocol pays with the money of the next depositors, or the protocol takes on a risk you don't see. I open the contract and tell you which of the three. The landing page won't tell you that. The landing page will say 'passive income.'
Yuki Hasegawa
A Keio University economist. Five years designing in-game economies for free-to-play titles at a mobile gaming company, then three years as an economist-analyst at a GameFi project: the models she now writes about, she assembled with her own hands. Tokyo is the perfect vantage point for this beat: a tightly regulated crypto market and the strongest gaming and IP industry in the world.
Her field is digital assets beyond coins. NFTs: markets, royalties, liquidity, wash trading — data together with the on-chain analyst. GameFi and play-to-earn: economies where a player's earnings are paid out of the next player's money — for as long as that player keeps coming. Tokenized communities, IP licensing, Web3 gaming — as business models, failures included. The throughline question of everything she writes: is this income — or a pyramid with beautiful graphics?
I designed economies in which players earned real money, and I know to the week when such a model stops paying: the moment the inflow of new players stops. Nobody in the industry wants to do that arithmetic out loud. I do it out loud — and in most GameFi projects the answer is the same.
Kim Soo-yeon
A lawyer: Korea University School of Law and a master's in corporate and financial law from the National University of Singapore. Five years as a lawyer and compliance manager at a Korean crypto exchange, two years as a policy analyst at an industry blockchain association. She works in Korean and English and reads Japanese — she knows Asian regulation from primary sources, not translations.
She explains what is allowed, what is forbidden, and what is profitable in crypto across the countries of Asia. Korea: the Virtual Asset User Protection Act, the Travel Rule, airdrops, taxes. Japan: the FSA, the JVCEA, listings. Hong Kong: VASP licenses and ETFs. Singapore: MAS. Mainland China: the ban and the ways around it. The differences in rules between countries are a source of both income and schemes; she shows both. And Asia's regulatory events, in her telling, become triggers for strategies and signals for our topic map.
In Asia, crypto isn't an ideology — it's retail: millions of people, one or two exchanges, and very specific rules. When the law changes in Korea, the behavior of hundreds of millions of dollars a week changes. English-language media learn about it through a translation and a month later. We — on the day it passes, with an answer to the question of who benefits.
Online Business & Monetization
Five people — each with a business built online behind them: an arbitrage team with seven-figure budgets, cross-border trade with Shenzhen factories, a SaaS company that sold, a freelance studio, a channel with three hundred thousand subscribers. Online income is the niche where embellishment is most common. Which is why the people working here cannot be fooled by a beautiful screenshot.
Mathieu Tremblay
An HEC Montréal marketer and eight years in the trenches of performance marketing: a media buyer at an affiliate network, then the head of his own arbitrage team — finance, crypto, nutra, and app offers, annual budgets up to seven figures. He knows by heart what an offer that pays looks like — and what one that pays only the network looks like.
He breaks down one of the most underestimated and most littered income instruments there is. How affiliate networks work — CPA, CPL, RevShare; which verticals pay and why; traffic economics by source — Meta, Google, TikTok, native ads, push; the referral programs of exchanges and brokers. And the line where legitimate affiliate business ends and cloaking, fake reviews, and lead fraud begin. He writes about affiliate marketing as an independent observer with insider knowledge — a rare combination in a niche where nearly every review leads to a referral link.
Affiliate marketing is two different businesses under one name: in one, a person spends years building an audience and recommends what they use themselves; in the other, they pour traffic onto an offer that will be banned in a month. Both can make money. I explain the difference, because the $2,000 courses sell the second business dressed up as the first.
Lin Xiaoyu
International business at Sun Yat-sen University. Four years as the operations manager of a cross-border seller: private label on Amazon with manufacturing in Shenzhen, daily work with factories, logistics, and the ad account. Then three years as a category manager at a global marketplace. She has seen listing economics from both sides of the counter.
She explains e-commerce from the side the goods come from. Amazon, Temu, Shein, TikTok Shop, Shopify, Etsy from the inside: commissions, advertising, returns, logistics. The supply chain — the 1688 platform, factories, minimum order quantities, agents, quality control — and the places in it where newcomers get cheated. Dropshipping as it is: the margin after advertising and returns. And breakdowns of failed stores — no less detailed than the breakdowns of successful ones.
Every dropshipping course shows a revenue screenshot. I show the invoice from the factory, the invoice for advertising, the invoice for returns — and what's left. I kept those spreadsheets for four years. Dropshipping isn't a scam, but it's a business with a 5–15% margin at best, not 'passive income.' You need to know that before paying for the course, not after.
Álvaro Castillo
A UPC engineer with an MBA from IESE Business School. Co-founder of a B2B SaaS company: a seed round, growth to one million euros in annual recurring revenue, a sale to a strategic buyer. In parallel he built indie products solo — which makes him one of the few who has been through both versions of the model, venture-backed and bootstrapped.
His theme is the "build once, sell many times" model — and why it is harder than it sounds. The metrics that decide a product's fate — MRR, churn, the CAC-to-LTV ratio; pricing and subscriptions; distribution — where the first hundred paying customers actually come from; no-code, digital products, App Store economics. With numbers, he shows why most SaaS companies never reach ten thousand dollars in monthly revenue — and what sets apart the ones that do.
SaaS isn't code, it's distribution: if you don't know where your first hundred paying customers will come from, you don't have a business — you have a hobby with a server. I've been through this model in both versions, venture and indie, and I write about the math a founder usually learns too late. Our reader will have it in advance.
Inês Carvalho
A designer by training — the Faculty of Fine Arts at the University of Lisbon — and a freelancer by nine years of practice: from first orders on Upwork to direct contracts with American and British clients and her own four-person studio. She climbed every rung of the rate ladder personally — and knows the no-middleman labor market the way no armchair columnist ever will.
She writes about freelancing without romance and without lowered expectations. The platforms — Upwork, Fiverr, Toptal, Contra, Malt: how they work, who they suit, what they take. Rates by skill, level, and market — with the platform's signature index. Entering the Western market from any country, and the path from one-off orders to retainers; remote employment — EOR providers, taxes, invoices — together with our jurisdictions lawyer. And the economics of digital nomad life — with bank statements, not photos of a laptop on the beach.
Freelancing is a market where price information is hidden on purpose: a client pays an agency $90 an hour for work the performer is offered $15 for. I walked that entire road — to direct contracts and a studio of my own. Now we publish rates by skill, level, and client country. Negotiating is easier with our tables.
Tasha Reynolds
Communications at USC Annenberg. Four years as a talent manager at a creator agency: deals, sponsorship rates, dozens of channels from the inside. Then three years running her own educational channel about money — three hundred thousand subscribers — and showing its numbers openly. A rare case: someone who closed deals on behalf of creators — and lives this economy herself.
She breaks down the content business as a business. YouTube, TikTok, Instagram, podcasts, Telegram, newsletters, Patreon, paid communities: how monetization works on each platform and what every stage of growth brings — up to ten thousand subscribers, ten to a hundred, beyond. RPM and CPM by niche, the sponsorship market, products, memberships — with real rates from the creator panel. Where the story breaks: the algorithm, burnout, dependence on a single platform. And separately — the "earn ten thousand a month on TikTok" industry: who actually earns on it.
I ran deals for creators with a million subscribers who earned less than a good plumber, and for creators with forty thousand who bought houses. Subscribers are not income. Income is the niche, the format, and what you sell. I show my own numbers openly: the reader should see how this works for a living person, not a legend.
Startups, Offline, Franchises & the Geography of Income
Business doesn't only exist in a browser. These four answer for the money that passes through investment committees, cash registers, franchise agreements, and tax jurisdictions. From venture math to a coffee shop lease — with the same rigor.
Rahul Venkataraman
Berkeley EECS and a Stanford GSB MBA. Four years as a product manager at a startup that went from seed round to Series C, then four years as an associate and principal at a venture fund: more than a thousand pitch decks reviewed, dozens of deals, venture math in living practice.
He breaks down startups as business models, not as stories. The logic of the venture market: the power law, dilution, why a fund needs a unicorn and a founder doesn't. Product-market fit in practice, round economics, the pitch deck versus reality — on Crunchbase and PitchBook data. The startup as an employee's source of income: options, vesting, the real price of a stake. Retail access to venture: syndicates, crowdinvesting. And collapsed models he dissects together with the failures analyst: what was visible in advance — and what in the survivors' decisions is repeatable.
In four years at the fund I looked at more than a thousand decks. In ninety percent, the business model didn't add up by the second page — and the founder didn't know it. We break down startups the way they're broken down at an investment committee, not at a demo day: where the money is, where it comes from, where it goes, and what will kill the company. For someone building their own, that's worth more than any success story.
Giulia Moretti
A Bocconi master in management — and an entrepreneur by biography: she built a chain of three coffee shops, made it profitable, and sold it. Then five years as an operations consultant for small business: restaurants, retail, services, clinics. She assembled the P&L of a physical business with her own hands, down to the last line — including the write-offs for products that didn't sell and went into the trash — and she knows which line of the report death usually hides in.
Her zone is the physical world of money. The unit economics of formats: restaurant, coffee shop, gym, laundromat, car wash, dental clinic, salon, vending, retail — rent, payroll, cost of goods, break-even point, payback period, by city and with real numbers. Which formats survive crises; where small business structurally beats the chains, and where it is doomed to lose. The "boring" things that decide everything: hiring, delegation, accounting, partnerships. And exiting a business — sale, valuation, handover — as the part of the cycle you should think about at the beginning, not the end.
A physical business doesn't forgive romance: nine out of ten decisions that kill it are made before opening day — in the lease, in the staffing plan, in the choice of location. I ran those numbers as an owner and as a consultant. We publish the unit economics of formats with real rent and real payroll — what you need to see before signing the lease, not after.
Émilie Rousseau
A Master in Management (Grande École) from EDHEC business school. Six years as a network development manager at a major restaurant franchisor: dozens of signed franchisees — and knowledge of what happened to every one of them three years later. Then three years consulting the other side: franchisees choosing a franchise and exiting one.
She shows what stands behind a franchisor's attractive numbers. Franchise economics: the entry fee, royalties, marketing levies, mandatory purchases, the real payback of a location. The conflict of interest built into the model itself: the franchisor earns on network growth, the franchisee on the location's profit — and those are different monies. How to read the disclosure documents — the American FDD with Item 19, the French DIP, the void where regulation should be in Britain. Franchisor red flags, comparative analyses of networks, breakdowns of franchisee failures — and how to exit a franchise.
I sold a franchise for six years and I know which numbers get shown to a candidate and which don't. The franchisor earns when you open. Whether you earn is the second question. That's not a verdict on the model: there are networks where a location pays back in two years. But telling one from the other is possible only through the documents — and we teach how to read them.
Lukas Brunner
A master of law from the University of Zurich and an LL.M. in international tax law from WU Vienna. Eight years as an international tax structuring consultant at a Big Four firm in Zurich: entrepreneur relocations, Crypto Valley founders, jurisdiction choices for online businesses. He works out of Zug — the point where Swiss banking meets Europe's largest crypto cluster.
He turns the geography of income into an exact discipline. Jurisdictions for incorporation — Estonia, the United Arab Emirates, Delaware, the British Ltd, Singapore, Switzerland — with the real limitations that never appear in promotional articles: economic substance, banking, automatic exchange of tax information, the cost of exit. Tax residency and digital nomad visas: what has actually changed in Portugal, Spain, Italy, Dubai. Crypto taxes by country — together with the Asian markets analyst; banking for non-residents. And the section's central thesis, tested by his eight years of practice: the same business in different countries is different money.
Half the articles about 'zero taxes in country X' are written by people selling company registration in country X. For eight years I watched what happens in year three: the bank closes the account, the home tax authority declares you a resident, a structure without real substance falls apart. We write about jurisdictions as a business decision with costs — with numbers on both sides of the equation.
Failures & Investigations
A genre we consider one of the most important on the platform, run by two people: an investigator by training and cast of mind — and someone who has seen more business autopsies than most people have seen openings. One follows the money through the documents and takes the trail to the end. The other reconstructs the chronology of a collapse and answers the genre's central question: why wasn't this obvious at the time.
Harriet Dunmore
An accountant and an investigator in one person: Accounting and Finance at the University of Bristol, ACCA and CFE — Certified Fraud Examiner — credentials. Seven years in Big Four forensic practice: fraud investigations, asset tracing. Then three years at a regulator's consumer financial fraud investigation unit. She follows the money through the documents professionally — and takes the trail to the end.
Her material is money-making schemes, from the outright to the "merely overheated": pyramids, HYIPs, MLM, guru "passive income," signal channels, pseudo-brokers, course funnels, Amazon automation, prepaid Airbnb arbitrage. The method is always the same: where do the payouts come from. Registries — Companies House, OpenCorporates; regulator lists — the FCA, the SEC, ASIC, BaFin; the blockchain — together with the on-chain analyst; the math — together with the quant; the testimony of participants. And a signature category of her own — "not a scam, but overheated": the model is legal, it's just that new participants no longer earn in it.
I don't write 'this is a scam' — that's a word for a court. I write: here is where the payouts come from, here is how much the company collected, here is what the documents say, here is what the math says. From there the reader decides — but now with open eyes. And in half the cases the scheme isn't fraudulent. It just doesn't work anymore — and you have to know how to show that too.
Matthias Leitner
A WU Vienna master in management. Six years in restructuring and bankruptcy support at a consultancy: from family firms to startups, always in the room where they open up why it all collapsed. Then three years as an analyst at a startup incubator: postmortems of closed projects together with their founders.
He runs the genre of the documented mistake. He reconstructs the chronology of a failure — a startup, a small business, an investment strategy, a channel, a relocation — through the bankruptcy registries of Germany, Austria, and Switzerland, through the British Companies House, through American court bankruptcy documents, through interviews with founders and employees. He keeps the library of failure patterns: the overestimated market, the product without demand, premature scaling, dependence on a single channel, unit economics that don't add up. Every failure is dissected together with the relevant specialist — so the industry view is there too. And he writes about exiting a business as the part of the cycle people think about last — when they should think about it first.
In restructuring you arrive when it's already too late, and you see: the decision that killed the company was made two years before the end — and at that moment it looked reasonable. That is the most valuable knowledge in business: which reasonable decisions kill. Failures repeat along five or six scenarios. If the reader recognizes their scenario on page one instead of in court — we've done our job.
What This Team Means for You
When you read a broker breakdown on Bitok Arena — it was written by someone who spent eight years on the other side of a dealing desk and knows where the fine print turns into money. When you read about a DeFi protocol's yield — it was dissected by someone who reads smart contracts in the original. When you read about dropshipping — you are looking at the invoices from the factory, for the advertising, and for the returns, not a revenue screenshot. When you read about a franchise — the author spent six years selling them and three years helping people exit them. When you read about a startup — it was broken down the way an investment committee breaks one down, not a demo day. When you read about a scheme with "guaranteed returns" — a certified fraud investigator walked its trail, and a prop-trading quant re-ran the math.
And these thirty don't work alone. The on-chain analyst lights up wallets for the forensic investigator. The quant re-runs the gurus' promises. The jurisdictions lawyer reads the tax chapters of the freelance pieces. The failures analyst dissects dead startups with the venture analyst, and dead coffee shops with the offline analyst. Every Bitok Arena piece is crossfire from several competencies at once. A solo author, however strong, cannot deliver that. An editorial team can. That is why we are one.
To the reader, this page answers the question of whose eyes you are looking at the market through. To the advertiser — the question of what kind of audience gathers around texts like these: people who are making decisions about money right now and do not forgive empty words. We talk to both the same way — straight to the point.
Why This Page Exists
Most money websites don't show their authors. Usually because there is no one to show. Our situation is the opposite: the team is our strongest card, and hiding it would be strange. A CFA charter doesn't appear out of thin air. Seven-figure revenue can't be drawn in a slide deck. Eight years at a dealing desk can't be replaced with a news feed subscription. Biographies like these are not imitated — they are lived.
Bitok Arena is one more point of view on money. Now you know what it is made of: thirty people, seventeen countries, and more than two hundred years inside the industries we cover. Read us — and compare it with what you already think. Sometimes it is exactly that "one more point of view" that changes a decision. And with it — the result.
The team will grow, and this page will change. The rule will remain: the people who write about money here are the ones who have been inside.
Read us. Think for yourself. Earn better.
Bitok Arena — Analytical Media Platform. Income Today.