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The rumor followed a familiar wartime script. Iran’s Islamic Revolutionary Guard Corps claimed it had struck Benjamin Netanyahu’s office. Then came the forged screenshots — fake posts from the Israeli prime minister’s official account announcing he was dead. Then came the AI furore over a low-resolution freeze-frame from a press conference that, at the right angle, appeared to show Netanyahu’s right hand sporting six fingers, leading contrarian commentators to take victory laps.
Conservative influencer Candace Owens amplified the claims loudly on X, demanding to know where Netanyahu was and why his office was “releasing and deleting fake AI videos.” Iran’s Tasnim News Agency — run by the Islamic Revolutionary Guard Corps — published an article titled “New Video of Netanyahu Proves Fake,” cataloguing alleged clear signs that a subsequent coffee shop clip, posted by Netanyahu’s own account to debunk the rumors, was itself generated by artificial intelligence. The conspiracy had become self-sealing; every refutation was recast as fresh evidence.
But while the fact-checkers scrambled and the podcasters speculated, one data source offered a clean, immediate signal. On Polymarket, the world’s largest crypto prediction market, the contract for “Netanyahu out by March 31” was trading at around 4 to 5 cents, implying a roughly 4 to 5% probability of him leaving office before the end of the month. The market didn’t move. For anyone paying attention to that number, the entire conspiracy theory collapsed in a single glance.
Polymarket volume (Dune Analytics)
A record-breaking backdrop
To understand why the Netanyahu conspiracy took hold when it did, you need to understand the information environment it emerged from.
Since the U.S. and Israel launched strikes on Iran on Feb. 28, Polymarket has been transformed into something closer to a real-time geopolitical intelligence terminal. In the week ending March 1, bettors placed $425 million in geopolitics wagers on the platform alone — up from $163 million the prior week — with total platform wagering hitting a record $2.4 billion. The “US strikes Iran by…?” contract accumulated $529 million in total volume, making it one of the largest single markets Polymarket has ever hosted and the fourth-largest in its entire “Politics” category.
It is a remarkable trajectory for a platform that processed $73 million in total trading volume in 2023 and was pushed offshore by a CFTC settlement a year later. By 2025, Polymarket had processed approximately $22 billion in notional trading volume across the year — a figure that underscores how quickly the platform has moved from crypto curiosity to mainstream financial infrastructure.
This is no longer a crypto curiosity. In October 2025, the Intercontinental Exchange, parent company of the New York Stock Exchange, invested $2 billion into Polymarket at a $9 billion valuation, and launched a “Polymarket Signals and Sentiment” tool that feeds real-time prediction market data directly to Wall Street trading desks. When the Iran war began, equity and oil futures markets were closed for the weekend. Polymarket was not.
The market as instant truth machine
Prediction markets don’t have death contracts in the conventional sense. What Polymarket offers instead are “politician out by X date” markets, which resolve “Yes” if a leader resigns, is removed, or steps down. They don’t directly price the probability of death. But in a context where the conspiracy theory is that Netanyahu has been killed and the government is conducting a cover-up, these contracts function as a powerful proxy.
The logic is simple. A leader who has died or been incapacitated cannot indefinitely run a country from office. Eventually, a resignation, a removal or a credible leak would surface. And if any of that happened, the payout on a “Yes” share at 5 cents would be enormous: a $1 payout on a 5-cent share is a 20-to-1 return.
One trader was willing to make that bet at scale. A single Polymarket account placed $151,000 on Netanyahu being out before March 31, accumulating nearly 3.8 million shares at 4.7 cents each. If correct, the position would pay out $3.8 million. It is currently underwater by roughly $26,000.
That number is the ceiling of rational conviction in the conspiracy. At the height of the online hysteria, the most aggressive speculator on record was willing to stake $150,000 on the theory — implying he knew the odds were long. The market as a whole put the probability at around 5%. Social media said it was certain. The money said otherwise.
“Whether a politician is in or out of office is a very economically meaningful outcome for a lot of people,” said Aaron Brogan, a managing attorney at Brogan Law who has advised on prediction market regulation. “These are exactly the kinds of markets that event contract rules were designed to accommodate.”
Why the odds are hard to fake
The 2024 US election cycle offered a masterclass in prediction market efficiency — and the limits of efforts to dismiss its signals. When Polymarket showed Donald Trump trading at a substantial premium over Kamala Harris, critics cried manipulation. A French trader, they alleged, had artificially pumped Trump’s odds using multiple accounts for political purposes.
The experts weren’t buying it. As Flip Pidot, co-founder of American Civics Exchange, told CoinDesk at the time: a true manipulator trying to move the price would simply pile in blindly and let themselves get filled at worsening prices. The French trader did the opposite — splitting orders strategically across accounts to minimize slippage. That is what profit-seeking looks like, not propaganda.
The deeper reason manipulation struggles to stick is expected value arbitrage. If a price is artificially depressed or inflated, profit-hungry traders pile in to exploit the gap until it closes. Cross-market arbitrage reinforces this: Polymarket prices in real time against Kalshi, Betfair, and others. If odds drift meaningfully out of line across platforms, traders immediately sell the higher price and buy the lower one, synchronizing markets toward a consensus.
Harry Crane, a statistics professor at Rutgers University who studies prediction markets, sees the Netanyahu episode as a near-perfect illustration of this dynamic. “These markets are an antidote to propaganda precisely because their resolution rules anchor outcomes to verifiable sources rather than narrative,” he told CoinDesk. “I understand why governments want to limit them — not because of concerns over leaking classified information, but because verifiable price signals are harder to control.”
That framing maps directly onto the Netanyahu conspiracy. The people claiming he was dead were doing structurally the same thing as those who cried Polymarket was rigged in 2024: attacking the signal rather than engaging with it.
What the market is actually pricing — and what it isn’t
Crane is careful about the limits of the signal, and his caveat is worth sitting with.
“The market is only pricing the probability that Netanyahu is verifiably out of office under these rules,” he said. The resolution criteria state that the contract resolves “Yes” if Netanyahu announces his resignation or is otherwise removed from office, confirmed by official sources or a consensus of credible reporting. If a government concealed a leader’s death so completely that no credible source ever confirmed it, the market could resolve “No” — faithfully, correctly under its own rules, and yet without capturing the underlying reality.
That dynamic was playing out in real time. Domer — a well-known prediction market trader who goes by ImJustKen online — was publicly holding a No position on Netanyahu leaving office before March 31. Not because he was certain Netanyahu was alive, but because he didn’t believe a departure would ever be confirmed under the market’s resolution criteria, even if it occurred. He was pricing the verification gap, not the conspiracy itself.
But that caveat reveals something important about the conspiracy itself. The Netanyahu death rumor only holds together if you believe in a cover-up so total — encompassing Israeli officials, international media, independent fact-checkers, and Netanyahu’s own social media accounts simultaneously — that no verifiable evidence would ever surface. At that point, the conspiracy has become unfalsifiable by design. An unfalsifiable claim is one no rational actor should stake capital on.
This is the key distinction from traditional fact-checking. A fact-checker requires institutional credibility, research time, and editorial process — all of which conspiracy theories are engineered to preemptively undermine. A Polymarket price requires none of that. It requires only that someone, somewhere, believes the opposite enough to put real money on it. When no one does, that is its own kind of proof.
The contrast case: Khamenei
The clearest evidence that these markets work as a truth signal — and not merely as a null result — is what happened with the Khamenei contract.
When Iranian Supreme Leader Ali Khamenei was killed in the February 28 strikes, the “Khamenei out as Supreme Leader by March 31” contract on Polymarket behaved exactly as you would expect from an efficient market. It had hovered between 25% and 50% through January and February as tensions built, pricing genuine uncertainty about an escalating conflict. Then, when Iranian state TV confirmed his death, it spiked vertically to 100%. The contract drew $45 million in volume. The top trader made $757,000 on a yes bet. Four others cleared six figures.
The Netanyahu market did not do this. It stubbornly remained below 5 cents throughout the conspiracy cycle. The crowd that correctly priced Khamenei’s death — and got paid for it — looked at the Netanyahu claims and declined to move.
Price movements on Polymarket (Polymarket)
The regulatory storm gathering overhead
The informational value of these markets is being stress-tested at exactly the moment when political pressure against them is reaching its peak.
When Khamenei was killed, Kalshi — Polymarket’s CFTC-regulated rival — invoked a “death carveout” buried in its contract terms, settling its Khamenei positions at the last traded price before his death: roughly 39.5 cents rather than the full dollar. Polymarket, which carries no such carveout, paid out in full. A $54 million class action lawsuit against Kalshi followed.
The inconsistency in Kalshi’s approach has been pointed out sharply. In late 2024, Kalshi had run a market on whether a 100-year-old Jimmy Carter would attend Trump’s inauguration. When Carter died before it took place, Kalshi settled that contract to “No” — resolving a market directly via death, without invoking any carveout. As Crane has noted, the application of its death carveout appears to have been selective: they settle on death, just not when it’s expensive.
Kalshi disputes the characterization. “Our rules were clear from the beginning, we never changed them, and we settled based on the rules,” a spokesperson said. The company added that it reimbursed all fees and net losses out of pocket following the Khamenei settlement — “to the tune of millions of dollars” — ensuring no user lost money on the market. “Kalshi is a peer-to-peer exchange and does not profit from user losses. We have no incentive not to pay out our users, but we need to follow the rules of the exchange and the rule of law.”
On the legislative push, the company struck a conciliatory tone. “Kalshi already bans insider trading and markets directly tied to death and war,” a spokesperson said. “As a US-based exchange, we support regulators and policymakers from both sides of the aisle in their efforts to keep these markets safe and responsible in America.”
Kalshi declined to comment on record about the consistency of the death carveout as applied to the Khamenei contract versus the Carter market, or on the current status of the class action lawsuit.
Six Democratic senators, led by Adam Schiff, have written to the CFTC demanding a categorical ban on contracts that “resolve upon or closely correlate to an individual’s death.” Separately, senators Merkley and Klobuchar have introduced the End Prediction Market Corruption Act, which would bar the president, vice president, members of Congress, and their immediate families from trading event contracts, and impose fines and profit clawbacks for violations — citing the well-timed wagers on US strikes and Iranian leadership changes that netted some traders hundreds of thousands of dollars.
Blockchain analytics firm Bubblemaps identified six newly created wallets that collectively netted $1.2 million betting on the timing of US strikes on Iran, with accounts funded within 24 hours of the attack. One trader turned roughly $60,000 into nearly $500,000.
Brogan is skeptical that the legislative push has the momentum to land. “This is largely Democratic senators using the legislative process to generate political capital,” he said. “The conditions under which that legislation actually passes are where something really calamitous happens — some kind of market collapse or scandal that forces politicians to make an example of the industry. Without that, I don’t think there’s sufficient political capital to move it.”
He also draws a clear distinction between Polymarket’s legal exposure and Kalshi’s. “The restrictions Kalshi faces are not directly applicable to Polymarket,” Brogan said. Polymarket is not a CFTC-regulated US exchange — a status that stems from a 2021 settlement that pushed it offshore and barred US users from accessing it directly. That remains its largest single legal exposure, Brogan noted, though he pointed out that the Trump administration has shown little appetite for pursuing the kind of action the Biden administration explored against Polymarket CEO Shayne Coplan in early 2025.
Crane, for his part, is unambiguous about what would be lost if the legislative push succeeded. “These markets have genuine informational value and can counter propaganda,” he said. “That’s the case study here — a market involving war and the fate of a political leader doing exactly what its critics say it shouldn’t exist to do.”
There is also a state-level front opening up. Arizona recently charged Kalshi with operating an illegal gambling operation — part of a broader conflict between states that regulate and tax traditional gambling markets and federally-overseen prediction markets that sit outside their control. “The question that ultimately matters is whether federal law will preempt state law on this,” Brogan said. “There are courts hearing that question right now.”
What the crowd gets right — and what it can’t fix
None of this is to say prediction markets are infallible. Crane notes that nearly 25% of Polymarket’s historical volume has been attributed to wash trading — artificial activity generated by users trying to position themselves for a potential token airdrop — a figure that Columbia University researchers found peaked at around 60% in December 2024 before falling sharply. Wash trading inflates headline volume without necessarily biasing prices, but it is a legitimate caveat to the “wisdom of crowds” narrative.
The more fundamental limitation is what Crane identified in his answer to the manipulation question: a sufficiently coordinated disinformation campaign could, in theory, move a market — especially a smaller one. The Netanyahu “out by March 31” contract had enough liquidity to make that expensive, but not impossible.
What prediction markets cannot do is replace the underlying information infrastructure they depend on. They resolve against credible sources. If those sources are corrupted or silent — as Iranian state media clearly was throughout this episode — the market’s signal is only as good as the resolution criteria it is anchored to.
But in the Netanyahu case, that is precisely where the conspiracy fell apart. The rumor required a cover-up so comprehensive that no Israeli official, no international journalist, no independent fact-checker, and no market trader with real money on the line would ever find confirmation. The market priced that scenario at 5 cents. It was right.
When Candace Owens was demanding to know where Bibi was, Polymarket already had an answer. It just costs a few pennies to read it.
The stablecoin economy keeps pressing higher, with its total valuation topping $316 billion as of March 21 after adding $124.9 million over the past week. Of that $316 billion, Tether’s USDT holds a commanding 58.25% share. Stablecoin Supply Grows Steadily The fiat-pegged token sector moved slightly higher this past week, adding 0.04%. Zooming out, the […]
Business strategy consulting focuses on defining where a company should compete, how it should win, and what capabilities it must develop to succeed. Rather than offering short-term fixes, strategy consultants work with leadership teams to design clear roadmaps that position businesses for sustainable growth.
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A clear value proposition ensures customers understand why a company is the better choice. Consultants refine brand positioning and strategic messaging to differentiate businesses effectively.
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Strategy (MSTR), already the world’s biggest corporate holder of bitcoin BTC$70,910.17, is on track to record its second-largest quarterly accumulation, continuing its aggressive treasury expansion even as the cryptocurrency’s price sank 20%.
Since January, the company has bought 89,618 BTC, bringing its total holdings to 761,068 BTC. With two Mondays still left for potential purchase announcements this quarter, that number could grow even further.
The only time Strategy has bought more bitcoin was fourth-quarter 2024, when it added 194,180 BTC. That November alone accounted for three of the company’s five largest purchases, with Strategy buying 27,200 BTC, 51,780 BTC, and 55,500 BTC in quick succession as the price surged to $100,000 from $70,000 following President Donald Trump’s second election victory.
In contrast, the past three months have seen bitcoin’s price slump to a level that is now more than 40% below October’s record high $126,000. Strategy’s common stock has dropped 15%.
Recent purchases have been partly funded by sales of the company’s perpetual preferred offering, Stretch (STRC), which accounted for up to 15,000 BTC over the past two weeks. However, as the STRC price failed to reach its $100 par value this week, the company has been unable to utilise the program for now.
Strategy’s accumulation is not just price-dependent. It is driven by capital availability.
A 66-year-old Hong Kong retiree lost 6.6 million Hong Kong dollars (roughly $840,000) in a string of three related crypto investment scams after repeatedly trusting self-proclaimed “virtual currency experts” who reached out via WhatsApp, according to Hong Kong police’s CyberDefender unit.
In a March 20 Facebook post, police said the victim was first approached in September 2025 by a scammer who cold messaged, claiming to be a “virtual currency investment expert” and promising steady gains if the victim followed his advice. The retiree then transferred $180,000 and deposited crypto into a wallet the scammer controlled, only to watch him disappear, prompting the filing of a police report.
The case shows how fraudsters can recycle the same victim through successive schemes that start with “guaranteed profit” pitches and escalate into offers to recover funds that have already been stolen.
“Life has no take two; but scams can have take three,” the CyberDefender team wrote, warning that genuine professionals do not rely on random outreach and that phrases such as “guaranteed returns” and “inside information” are classic red flags.
Related: How US investigators traced $61M in crypto tied to romance scams across wallets
Hong Kong retiree loses $840,000 in triple crypto scam. Source: CyberDefender
The retiree then transferred $180,000 and deposited crypto into a wallet the scammer controlled, only to watch him disappear, prompting the victim to file a police report.
Unwilling to accept the loss, the victim later searched online for another “crypto expert” who claimed he could help recover the missing funds, but then demanded $75,000 as a security deposit. After the victim paid, that expert also vanished.
Related:OpenClaw devs targeted by phishing scam promising free ‘CLAW’ tokens
In January, a third supposed specialist messaged the retiree on WhatsApp offering to reclaim both prior losses if the victim bought $585,000 in crypto and sent it to a specified address. Once the victim complied, that scammer disappeared as well, bringing the total losses over roughly six months to approximately $840,000.
Incident falls amid rising Web3 fraud
The case lands against a broader backdrop of mounting crypto-related crime. Web3 platforms saw about $3.95 billion in losses in 2025, with state-linked hackers and weak key security driving much of the damage, according to security firm Hacken.
Authorities worldwide have also flagged new waves of phishing and investment fraud, from the FBI’s recent warning over fake FBI tokens on Tron to India’s GainBitcoin probe and US efforts to forfeit $3.4 million in Tether tied to a multi-state investment scam.
Magazine: Influencers shilling memecoin scams face severe legal consequences
Cointelegraph is committed to independent, transparent journalism. This news article is produced in accordance with Cointelegraph’s Editorial Policy and aims to provide accurate and timely information. Readers are encouraged to verify information independently. Read our Editorial Policy https://cointelegraph.com/editorial-policy
A seat at Donald Trump’s upcoming crypto luncheon could cost as little as $70,000. It could also cost more than $6 million, depending on how participants choose to climb the leaderboard that determines entry, even as the token trades nearly 96% below its peak.
The event, announced last week, is set for April 25 at Mar-a-Lago, Trump’s private club in Palm Beach, Florida. Attendance is capped at 297 and is tied to holdings of the TRUMP memecoin. Wallets are ranked based on “Trump Points,” which reflect token exposure over time. Those rankings, rather than simple ownership, determine who qualifies for the invites.
This luncheon marks the second of this type of meet-the-president event, after the last dinner announcement in April 2025. That earlier dinner prompted Democratic lawmakers to lodge protests and raise concerns about Trump profiting off of his own crypto token while simultaneously championing legislation to support the industry and appointing regulators to oversee crypto. These concerns have, in part, delayed current legislation sought by the crypto industry, while lawmakers in the U.S. are currently trying to move the Digital Asset Market Clarity Act forward.
Onchain data shows that participants in this new event are approaching it in very different ways (previously, only the top 220 holders received invites), and the leaderboard of these winning wallets provides the clearest example.
Over the past week, the address tagged as DNTpoX, currently in first position on the leaderboard, received more than $6 million worth of TRUMP tokens from Binance, including transfers of 1 million and 999,999 tokens within a short period, reflecting the majority of its holdings. The pattern points to rapid accumulation, suggesting the holder has moved up the rankings through recent buying rather than long-term positioning.
That buying spree over a short period aligns with broader trading patterns around the token. The leaderboard rewards both strategies: wallets that accumulated early and held through the token’s decline have built up points over months, while deep-pocketed latecomers can still climb the rankings quickly by deploying capital at scale.
The top 29 holders on the leaderboard will attend a private VIP reception with Trump and get a tour of the event venue, while the others will only attend the gala itself.
TRUMP leaderboard (gettrumpmemes)
However, not all leaderboard entries appear to correspond to individual investors.
One of the wallets that made it into the leaderboard is labeled “Sun,” implying it might be crypto investor Justin Sun’s wallet. While Sun did buy $21 million of the memecoin last year, onchain analysis shows that the wallet is flooded with wallet transfers from HTX – an exchange with close links to Sun. However, the data appears to be internal wallet shuffling rather than a single entity owning it. Justin Sun didn’t reply to CoinDesk’s request for a comment.
Further down the rankings, the cost of qualifying appears significantly lower.
Based on wallet balances near the lower end of the top 300 and current prices, some positions are worth tens of thousands of dollars. That places the likely entry threshold somewhere around $70,000, although the exact cutoff will depend on how rankings shift.
That range sits well below the multimillion-dollar positions at the top, but still represents a meaningful financial commitment.
TRUMP leaderboard (Data from Gettrumpmemes)
What the leaderboard shows is that the standings reflect a mix of approaches by investors who want to be invited.
Some participants accumulated tokens months ago and have held them. Others appear to be building positions more recently. In a few cases, wallets may represent exchange-linked balances rather than individuals.
Overall, the data suggest that qualifying for the event depends not only on how much is held, but also on when positions were established and how aggressively they are increased.
The TRUMP memecoin team did not immediately respond to CoinDesk’s request for comment.
A familiar but different approach
While invites to the previous Gala were limited to the top 220 token holders, this time it seems things are slightly different.
Last year’s crypto-linked dinner selected attendees based on token activity, drawing a mix of traders, entrepreneurs and public figures. Reporting from NBC News, CNBC and The Intercept identified participants, including former NBA player Lamar Odom, while many others remained pseudonymous.
Some attendees said they hoped to influence Trump’s views on crypto policy, while critics argued the event blurred the line between financial activity and political access.
Data from Dune and Token Terminal shows that TRUMP generated enormous trading volume in the days after its January 2025 launch, with activity tapering sharply thereafter. That history shapes the current leaderboard: wallets that accumulated tokens early, during that period of high liquidity, have built up Trump Points over months of holding. More recent entrants are competing in a thinner market, but large trades can still move rankings quickly — meaning both strategies remain viable.
Where it differs this time around is who is getting the invites.
For the new event, data from Solscan shows that the largest TRUMP wallets, including those tied to the project team, exchanges and liquidity pools, control the majority of the supply but don’t appear on the leaderboard – likely because individual invites can’t be issued to companies or organizations.
Instead, the addresses linked to top-ranked participants tend to hold much lower total holdings. The wallet ranked third on the leaderboard, for example, holds roughly $4 million worth of tokens and sits around 30th overall in terms of total token holders. Another high-ranking participant holds between $4 million and $10 million and falls in a similar range.
The group competing for entry appears distinct from the largest holders onchain and for some participants, those positions were built months ago.
Several top-ranked wallets show large inflows of TRUMP tokens dating back eight to 10 months, typically transferred from exchanges such as Binance, OKX and Gate.io. In many cases, those tokens appear to have been held since.
This suggests that the leaderboard reflects not just current balances and trading activities but also duration, giving an advantage to participants who accumulated earlier and maintained exposure.
However, recent activity shows that positions are not fixed, and late buyers can still participate in the leaderboard.
The top-ranked wallet’s inflows indicate that large purchases can still shift rankings quickly. Participants do not necessarily need to have held tokens from the outset, provided they are willing to deploy capital at scale.
The result is a system in which both early accumulation and late entry remain viable strategies.
TRUMP is currently trading at $3.70, having gained more than 25% since the gala was announced. It remains significantly down from when it was introduced last year.
Running a local trade company brings massive daily challenges. Plumbers, roofers, and landscaping crews work incredibly hard out in the field. Relying strictly on word-of-mouth referrals worked perfectly decades ago. Today, local competition feels incredibly fierce. New companies pop up every single week. Growth requires stepping away from outdated, manual methods. Scaling a modern service company depends entirely on digital operational tools and smart online visibility.
The Chaos of the Paper Trail
Managing a fleet of work trucks with paper calendars causes constant daily chaos. Dispatchers lose handwritten notes. Technicians miss important appointments due to bad directions. Paper invoices get lost or ruined inside dirty trucks. Trying to read messy handwriting leads to wrong parts getting ordered.
This analog method bleeds money slowly. Office staff spend hours chasing down missing paperwork instead of booking new jobs. Customers get frustrated when a technician arrives late without a simple phone call. A disorganized back office destroys a company’s reputation faster than bad workmanship.
The field worker instantly gets a notification on a smartphone. They see the exact address, the customer name, and the reported problem. Nothing gets lost in translation. The technician drives straight to the house, fixes the issue, and marks the job complete on a digital tablet. The front office sees the update immediately. This creates a highly efficient, well-oiled machine.
Elevating the Customer Experience
Consumer expectations shifted massively over the last five years. Homeowners expect a highly polished digital experience. They want to approve repair estimates directly on a smartphone screen. They expect digital receipts sent straight to an email inbox. Outdated companies handing out carbon-copy paper receipts look unprofessional.
Modern operational tools bridge this exact gap. Automated text messages let the homeowner know the technician is exactly ten minutes away. GPS tracking shows the work truck approaching on a map. Looking like a massive, national brand builds instant trust with wary homeowners.
The Battle for Local Dominance
Having a perfectly organized dispatch system only helps when the phone actually rings. A brilliant mechanic still goes bankrupt without customers. Capturing local market share demands high visibility. When a homeowner discovers a broken water pipe at midnight, they grab a phone and search online immediately. The top search result almost always wins the emergency job.
Achieving that coveted top spot requires dedicated small business marketing. A clean, fast-loading website and strong search engine rankings drive consistent daily leads. Focusing heavily on local search optimization puts the company directly in front of highly motivated buyers right when they need help the most.
Tracking the Advertising ROI
Throwing money at random billboards or print magazines rarely works anymore. Modern advertising requires precise tracking. Digital campaigns show exactly how many people clicked a link or dialed a phone number.
Tracking this data prevents wasted advertising dollars. Knowing exactly which campaigns generate the most profitable jobs allows for smart budget adjustments. If fixing air conditioners brings in more profit than cleaning air ducts, the advertising budget shifts immediately to match that data. This data-driven approach turns a small local shop into a dominant regional player.
Building a Five-Star Reputation
Winning a new job represents just the first step. Building a massive local brand requires repeat customers and a mountain of five-star reviews. Following up manually with every single customer takes way too much time.
Modern dispatch tools usually include automated text messaging features. Sending a quick thank-you text after a completed job builds massive goodwill. Including a direct link for a Google review generates social proof automatically. Great reviews act like a powerful magnet for new, high-paying contracts.
Managing Cash Flow and Payments
Getting paid on time keeps the doors open. Waiting thirty days for a paper check in the mail hurts the daily cash flow. Modernizing the checkout process solves this problem entirely. Field workers can collect credit card payments directly at the job site using a tablet. The money hits the bank account the very next day. This financial speed allows a growing company to buy new equipment and hire better talent without stressing over unpaid invoices.
Scaling the Fleet Smoothly
Adding new trucks to the fleet used to cause massive logistical headaches. A physical white board in an office can only hold so many names before it becomes unreadable. Digital systems scale effortlessly. Whether a company has three trucks or thirty trucks, the software handles the volume perfectly. Growth no longer breaks the internal systems.
Securing Long-Term Success
Building a highly profitable local brand takes serious dedication. Overcoming the initial growing pains requires adopting modern tools. Dropping the messy paper schedules makes a massive difference for the office staff. Investing in digital visibility keeps the technicians busy all year long. Blending smart daily operations with strong local outreach guarantees a bright, highly successful future for any trade company. The roadmap to success exists. Following it just requires taking that first digital step.
Bitcoin’s mining difficulty fell by around 7.7% at the latest adjustment on March 20 to 133.79 trillion at block 941,472, the sharpest drop since February, according to CoinWarz data.
The latest move takes difficulty down from around 145 trillion in mid-March and roughly 148 trillion at the start of the year. A lower difficulty means it takes less computational work to earn the same block reward, slightly improving revenue per unit of hashrate for firms that stay online.
The adjustment followed slower-than-target block production over the prior 2,016 blocks. CloverPool data showed average block times at about 12 minutes 36 seconds, well above Bitcoin’s 10-minute target, forcing the network to recalibrate lower.
In February, difficulty dropped sharply after weather-related disruptions in the United States temporarily knocked large American mining facilities offline, and it later rebounded by about 15% as hashrate returned to the network once power conditions normalized.
Bitcoin (BTC) difficulty measures how hard it is for miners to find a valid hash for the next block and is automatically adjusted to keep issuance steady at one block every 10 minutes.
When more computing power, or hashrate, joins the network, difficulty rises to prevent blocks from being mined too quickly, while a decline in hashrate triggers a lower difficulty, making it easier for remaining miners to earn rewards.
Bitcoin difficulty drops 7.7%. Source: CoinWarz
Related:Cango reports $285M Q4 loss as Bitcoin mining costs surge in 2025
The next difficulty adjustment is currently estimated for April 3, though that projection changes with each new block.
Miners pivot to AI as power costs bite
The difficulty reset also comes as several listed miners push further into AI and high-performance computing infrastructure in search of steadier returns on power and data-center capacity.
Last week, crypto trader Ran Neuner argued AI had become Bitcoin mining’s biggest competitor as both industries compete for electricity, even going as far as to say that “AI has killed Bitcoin forever.”
Bitcoin miners such as Core Scientific, MARA Holdings, Hut 8 and Cipher Mining have begun reallocating capacity or pivoting toward AI workloads, while some operators have reduced hashrate or shut down less efficient rigs as profitability tightens.
On Feb 21, Bitdeer liquidated 943 BTC from reserves and sold newly mined coins, cutting corporate holdings to zero. In its latest weekly update on March 21, it confirmed that its BTC holdings remained at zero.
Big questions: Would Bitcoin survive a 10-year power outage?
Cointelegraph is committed to independent, transparent journalism. This news article is produced in accordance with Cointelegraph’s Editorial Policy and aims to provide accurate and timely information. Readers are encouraged to verify information independently. Read our Editorial Policy https://cointelegraph.com/editorial-policy
A DeFi user lost $50 million in a swap blunder last week.
Onlookers now question where the money went.
Experts mull over who is ultimately to blame.
It’s the stuff of nightmares.
Last week, the crypto industry looked on in horror as an unknown trader on the Ethereum blockchain immolated some $50 million by agreeing to an extremely lopsided swap, routed through permissionless decentralised finance apps.
Despite on-screen warnings, the trader agreed to convert around $50 million worth of Tether’s USDT stablecoin for 327 Aave tokens, worth just $37,000.
“Before confirming the transaction, the user was shown a clear warning on Aave’s interface indicating that the trade carried an extraordinary price impact,” Nikita Ovchinnik, CEO of Barter, a solver on decentralised exchange CoW Swap, told DL News.
“The interface required an additional confirmation step, including a checkbox acknowledging the risk, before the order was approved on a mobile device.”
Post mortems from Aave and CoW Swap, the DeFi apps the trader used, have helped shed light on the gory details.
The issue was that the trade used a liquidity pool on decentralised exchange Sushiswap that contained less than $100,000 of assets to fulfil the $50 million swap.
Many experts have since suggested additional safeguards to prevent the apps from serving up highly imbalanced trades in the future.
The question now asked by onlookers is not just how the money was lost, but where it went.
Following the money
The biggest winner of the incident was Titan, a so-called block builder on Ethereum, who profited at least $35 million, according to an onchain analysis conducted by DL News.
After the lopsided swap was executed, the liquidity pool that facilitated it became severely imbalanced. The first person to swap Aave tokens for Ether in the pool stood to receive an extremely good price on them, around 1,000 times higher than the current market rate.
Arbitrage bots rushed to take advantage of that opportunity, along with others made available by the lopsided swap.
That’s where Titan came in.
When Ethereum users want to transact on the blockchain they send transactions to the mempool — a waiting room for transactions before they’re added to the blockchain.
Block builders like Titan take those mempool transactions and fit them into blocks. Users can pay block builders tips to get their transactions included before others.
Those arbitrage bots offered to split the money they stood to make from rebalancing the liquidity pool with Titan to ensure they were the ones given first priority to do so.
The result? Titan walked away with some $35 million in tips, while the bots themselves profited around $13 million in total.
Approximately $1.2 million of those tips were split with Lido, the liquid staking protocol, as one of its validators was responsible for proposing the block that titan built.
To be sure, there was no hack or exploit. Just permissionless code working as intended, and various parties acting within the confines set by it.
Big fees
While Titan and the arbitrage bots profited the most from the $50 million blunder, they weren’t the only ones to make money.
Aave, whose website interface the trader used to submit swap, also took a cut. According to the protocol’s post mortem published on March 14, it received just over $110,000, based on a 0.25% fee the Aave website interface charges users.
Aave Labs has since offered to return the fees it collected. The trader has yet to take the company up on the offer, however.
While the trade was submitted through Aave’s website, the protocol itself didn’t execute it. That was outsourced to CoW Swap.
CoW Swap works by offering submitted trades to solvers, complex algorithms that compete to fulfil swaps at the best possible prices. If a solver can fulfil a swap at a better price than the trader agreed to, that surplus is split between the trader, the solver, and the CoW Swap protocol.
The CoW Swap solver who fulfilled the lopsided trade generated a surplus of around four Aave tokens, worth $452. The solver also earned a fee of around $340, according to Barter.
Lastly, the liquidity pools the CoW Swap solver used to fulfil the trade also took fees.
The trade consisted of two legs, the first, which converted USDT to Ether, was handled by Uniswap. The second, which converted Ether for Aave tokens at the extremely unfavourable rate, was handled by Sushiswap.
Who is to blame?
The conversation surrounding the incident now centres on who is ultimately to blame, and how such an unfortunate episode could be prevented in the future.
In its post mortem, Aave said it is implementing a new feature called Aave Shield, which automatically blocks any swap with a price impact greater than 25% by default.
CoW Swap said in its post mortem that it is investigating solver execution failures and a potential mempool leak, and plans to publish its findings in future updates.
“The user owns none of this failure,” Ehsan, a Canadian blockchain researcher, said in the aftermath of the incident.
“Aave’s CoW adapter integration created the illusion of a safer swap than the one that was actually signed. Then CoW’s solver/liquidity-selection stack took that weak order and executed it through a pool that should never have been touched for a trade this size.”
Ehsan isn’t the only one to argue that the trader isn’t responsible for the blunder.
“If an interface knows it is handling an extraordinary order, showing a warning checkbox is not enough,” Ovchinnik said.
“It should actively guide the user toward suitable execution methods.”
Tim Craig is DL News’ Edinburgh-based DeFi Correspondent. Reach out with tips at tim@dlnews.com.