Senior Data Analyst in High-Security Ops | X Spaces Host | Zero Promo

Joined May 2022
1,513 Photos and videos
Here are the protocols with price -2% or more over the past 30 days AND revenue 10% or more over the past 30 days AND $200K or more monthly revenue To make it fun I filtered by the top #3 that meet these criteria but are the most overpriced 1. $ENA on a fully diluted basis has a whopping 178x FDV P/S but 84% in 30d, powered by sUSDe yield demand and funding rates 2. $VIRTUAL the true cost at full dilution is 117.9× revenue $486K monthly revenue with an mcap of $435M 3. $APEX the fully-diluted P/S jumps to 55.5× with a 30 day revenue of $209K and a marketcap of $38M These are price resilient with strong fundamentals in this brutal market, but they do remain overpriced
Run this prompt in @DefiLlama's AI to surface tokens where fundamentals are improving: "Find protocols with price -2% or more over the past 30 days AND revenue 10% or more over the past 30 days AND $200K or more monthly revenue"
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All three of these are down in price while growing revenue This looks like improving fundamentals, but the valuation multiples are so stretched that even the growing revenue hasn't brought them close to fair value
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The best pumps usually start before the chart looks obvious I deep researched underpriced tokens where fundamentals are currently moving faster than price One is at 1% of its ATH 🤯 My criteria was extremely strict: - At least some value passed to holders - Revenue fees accelerating - Relatively low FDV / Revenue - Price is below 50% of its ATH - Vol TVL growing, etc Only 5 tokens made the cut 1. solana:ChVzxWRmrTeSgwd3Ui3UumcN8KX7VK3WaD4KGeSKpypj is my #1 pick A 1,363% 30d revenue with recent V2 launch and rebuilding narrative It sitting at 0.9% of its ATH ($23.38 → $0.21 today) If the revenue trend holds, the re-pricing gap is enormous What I do NOT like is that most revenue doesn't flow to token holders 2. ethereum:0x808507121b80c02388fad14726482e061b8da827 Cleanest fundamental picture of the 5 It's the only protocol here with TVL inflows ( 14% 30d) $326K revenue in a single week with $10.2M Annualised holder revenue means token holders are being paid real yield It's trading at 25% of its $7.50 ATH with growing TVL is a credible asymmetric setup But whilst its 7D revenue is up 75%, it's worth noting that its 30D rev is down 35% 3. $Spark (MakerDAO) Get this - $5.28B TVL backing a $71M mcap 👀 One of the most extreme TVL-to-mcap ratios What I am watching is the 330% 7d revenue spike which looks like a recovery bounce off a deeply depressed 30d is that bounce structural (new borrow demand) or a one-week blip?
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4. $Met (Metronome) FDV/revenue of 0.94× the protocol is trading below 1× annual revenue That's almost unheard of for a live protocol generating $200K /week BUT TVL is declining (-5% 30d) and it's a micro-cap ($6.6M mcap), so liquidity risk is real 5. $QUICK (QuickSwap) 1.18× FDV/revenue with 145% 7d momentum is compelling but TVL is bleeding (-11.8% 30d), which contradicts the revenue growth signal Worth monitoring, but TVL outflows are a yellow flag
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Most DeFi tokens look cheap until you check performance So I searched for tokens trading under 20x FDV/revenue on both 1Y and annualized numbers. 49 made the cut. 34 pass value back to holders I filtered down to find one that are undervalued, revenue-generating, and still growing The 3 that stood out: 1. $ORE: trades at 1.88x 1Y revenue and 1.57x annualized revenue Not just cheap but the current revenue run-rate is stronger than the trailing year With ~99% of value flowing through its mining model, it was the cleanest cheap growth setup in the screen 2. $pump: this one is surprising. It trades at only 3.31x 1Y revenue and 3.74x annualized revenue It is the strongest revenue engine here, doing $464M in trailing revenue The key is that 50% of net revenue is locked into buybacks and burns This however is cyclical and relies on Sol meme activity comes back, the token has a very direct value-accrual loop 3. $SKY: trades at 6.61x 1Y revenue and 9.05x annualized revenue The revenue base is large, but buybacks are currently throttled while Sky builds its solvency reserve With 42.5% of value flowing to holders, the upside case is buybacks scaling back up once that overhang clears
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Trump Media transferred around $200M of bitcoin:native to an exchange (likely dump?) They are currently sitting on a total of $455 million in unrealized losses 🤯 But it's not as bad as it looks on the surface. Here's what I find fascinating: They raised ~$2.5 billion in May 2025 from ~50 institutional investors They sold ~$1.5 billion in common stock and $1 billion in 0% convertible senior secured notes due 2028 The money was raised specifically to buy Bitcoin and build one of the largest corporate Bitcoin treasuries among public companies As of Q1 2026 (March 31, 2026), 4,261 BTC were pledged as collateral to secure the $1 billion convertible notes They reported a positive operating cash flow of $17.9 million in Q1 (fourth straight quarter of green) The surface level read is “they’re dumping.” But this could be a sale, collateral movement, or them managing the debt they used to fund the BTC buy
Trump Media Transfers 2,650 BTC in Second Major Move of 2026 According to Lookonchain, Trump Media & Technology Group (TMTG) transferred 2,650 BTC worth about $205 million to Crypto com, marking its second major Bitcoin move this year. TMTG originally accumulated 11,542 BTC at an average price of about $118,522 per BTC, and its remaining holdings are estimated at around 6,889 BTC, currently sitting on an unrealized loss of roughly $455 million. x.com/lookonchain/status/205…
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South Korea’s 7th-largest funeral firm, Parents’ Love, invested $40M into a 2x leveraged ETF tracking Ethereum DAT company $BMNR They are down ~$33M 🥲 But here’s what's disturbing: > They pulled the entire investment straight from customer prepaid funeral deposits instead of its own operating cash Directly risking money meant for future burials I wonder where we've seen that 🤔 > They only made about $4.1 million in 2025 revenue. This shows how badly the bet hurt the firm. > this seems to be common practice. 43% of South Korea's 75 prepaid funeral firms now have assets worth less than the customer prepayments they owe This raises real doubts about their ability to deliver services > These firms fall under light Fair Trade Commission rules as simple installment businesses, with no capital requirements, investment limits, or financial regulator checks > The daily-reset 2x leveraged ETF triggered extra losses through volatility decay on top of the Ethereum stock's decline > our dudes, the funeral company, call the $33 million loss short-term and manageable within its buffers But refund requests from worried customers are rising across the sector
ICYMI: SOUTH KOREA’S 7TH-LARGEST FUNERAL FIRM “PARENTS’ LOVE” INVESTED 59.5B WON ($39.7M) IN A 2X LEVERAGED ETF TRACKING ETHEREUM DAT COMPANY $BMNR - VALUE CRASHED TO 10.2B WON ($6.8M) - PER HANKYUNG SOURCE: hankyung.com/article/2026051…
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The new 13F is even crazier than we thought Disclosed exposure jumped from $5.5B to roughly $13.7B But here's the part people are missing: He opened massive positions across the entire AI chip stack But at the same time, last quarter he held a $747M bullish Intel call This quarter, $INTC is a put He also cut his CoreWeave call from $774M down to $141M So this is not just “long AI”. It looks more precise More cautious on the chip names where valuation, supply ramps, and competition are now obvious risks He kept the Bitcoin miners turning into AI infrastructure plays, but added Hive Digital The thesis is still the same: AGI needs compute Compute needs data centers Data centers need electricity And the real bottleneck is still electrons, not chips
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One them forward thinking dudes that fascinate me He's only 24? 😅 Here's some of his disclosed stack SMH ETF: $2.04B NVDA: $1.57B ORCL: $1.07B AVGO: $1.01B AMD: $969M MU: $584M TSM: $535M ASML: $494M
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Today Leopold’s 13F drops, and we get to look at his latest disclosed trades He turned $225M into $5.5B 24x in 12 months But here's what no one actually mentions: - His fund holds activist stakes in Bitcoin miners This gives him direct meetings and contract visibility with hyperscalers (Google, Microsoft, etc) on massive AI power deals So he likely sees real-time AI infrastructure demand that normal investors never see - Also, A 13F only shows the public long book No shorts, no full AUM, no leverage, no private deals, and limited visibility into options or derivatives But his "Situational Awareness" manifesto is playing out exactly as predicted. His core thesis will likely remain unchanged: AGI/data centers bottlenecked by electricity ("electrons not chips")
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My guilty pleasure is binge watching @Pred_History takes TLDR: China isn’t America’s rival. It’s America’s hallucination Whether or not you agree with his views, you have to respect his ability to turn geopolitics into a theory of consciousness itself Trump’s China visit is just the surface event The real argument is stranger...America built the dollar dream, China became its second layer, and now both powers have to renegotiate the illusion before it collapses
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Imagine a single open source tool that turns your prompts into images, videos, talking portraits, and cinematic shots for a fraction of what Higgsfield charges And here's something nobody talks about It can produce uncensored outputs for total creative control 👿 All you need to do, is plugin your API keys 4.5K GitHub stars, 821 forks 🤯
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A benchmark framework that beat all other models in real time trading @Polymarket Best part is that it's based on an open source LLM (called MiMo) Interesting reasons for its outperformance that the paper points to, are: 1. high confidence bets needed news support. Wrong overconfident bets were punished 😬 2. It doesn’t just read the market odds, it also processes news, order-book snapshots, and other real world signals 3. models were pushed to skip weak bets and act only when their view strongly beat market odds 4. It can analyse multiple markets at once, comparing strategies and confidence across them to avoid mistakes and maximize gains Really interesting read 👇
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The browser game market is expected to quietly hit $9 billion by 2030 And popular web game developers reportedly earn anywhere between $ 50K and $ 1M per year But a good web game can take around 6 months to build Even an MVP can cost $ 150 K Now you can one-shot a web game from end to end with just an AI prompt, for free That's what @YueXiangyu and his colleagues have built An open-source AI GitHub project called OpenGame It can generate a complete playable web game from a single prompt not just code snippets You do not need to tinker with assets, images or references to get the game working end to end This is the beginning of anyone being able to create the games they always wanted to play
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This is a @HyperliquidX trader that should be added to your watchlist Not a "whale" and doesn't trade with big margins Well calculated with an impressive total profit of $445,000 in one week What got my attention is an impressive $371,000 that he made on a perfectly time $ZEC play He JUST closed all his positions
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His wallet 0x15cf9649c5d5f3cde56279c5cef856894110c84f
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