passie

1/*Personal-Proof-of-Work(PPoW)... Basically how I approach life.* A 🧵👇 ▶We are all ASICs (machines used to mine #Bitcoin). What type of ASIC are you? S19, S19Pro. If your love basketball and you are 7 feet tall your ASIC is probably S19Pro, if you are 5 feet 6 inches,...

sent out 📤 my latest research, happy reading 🤓. most investors are asking the wrong question about 2026. it’s not “where’s the next big upside?” It’s “how do i avoid blowing up in a capped, volatile year?” my base case is simple. risk assets grind higher, but only modestly. the S&P 500 finishes up roughly 5–7%. $btc remains in a bear-market phase of the four-year cycle, while $eth underperforms due to higher beta and weaker flows. this isn’t a year for aggressive beta chasing. ETF flows stop being the marginal buyer, so yield matters more than narratives. tokenized T-bills, private credit, and boring on-chain vaults quietly win, while familiar traps reappear. cycles don’t disappear; they discipline capital. 👉 read the full 2026 investment memo for the complete framework, price ranges, and themes: passieintelligence.substack.com/p/thoughts-on-…

better late than never; X wrapped 2025 by @ExaAILabs its a good one. definitely making $100k this year!

@GrandeeTG @X thank you ser!

@passieintel @X ran through the substack piece, expertly crafted piece brody 👏🏾

sent out 📤 my latest muse. happy reading 🤓. InfoFi didn’t fail because the idea was bad. it failed because incentives ran out of control. paying for posts changed behavior. attention was bought, impressions were farmed, and AI flooded the feed with noise. @X stepped in because the experience was deteriorating. when noise replaces conversation, platform value drops. the real lesson isn’t about @KaitoAI: if your product depends on an API you don’t control, you don’t own distribution—you’re borrowing it. 👉 read the full muse: passieintelligence.substack.com/p/muse-24-thou…

@defi__josh @Dune @0xTobey @agaperste @thecaptncrunch @filippoarman @arno39 @hagaetc @mewwts @DUKETHAGREAT @SamuelXeus @Adam_Tehc wow, 201 days streak. that's crazy and impressive 👏.

📍How to be a Dune Wizard in 60 days📍 I didn’t wake up one day as a “Dune Wizard”. 🔥 I just kept building consistently on @Dune. Every single day. Even on days when I'm so confused about how to build something based on my idea or a client's/project's preferences. Even when the query/dashboard looked ugly. Even when nobody was looking. . Today makes it 200+ days straight of building on Dune (without breaking the streak) plus... • 399 queries • 21 dashboards • 10k+ views • 1.4k+ stars • 80+ forks But numbers aren’t the part that matters. I've also hit milestones and big wins like: ⪼ featured on Dune Digest (Ep 17) x.com/i/status/19415…, x.com/i/status/19422… ⪼ featured a couple other times x.com/i/status/19839…, x.com/i/status/19839…, etc. ⪼ being among the top 1% of Dune OGs rewarded with thier merch x.com/i/status/19505… ⪼ received public shout-out for my wonderful work by top organizations (@ProtocolGuild, @Kttyworld, @PlanetHorseGame, and several others) x.com/i/status/20089…, x.com/i/status/19479…, x.com/i/status/19640…, etc. ⪼ received community recognition and awards for outstanding dashboards @AnalyticSages @Dune_Africa @AnalystLab_HQ ⪼ currently the top OG Dune Analyst on @Plasma and @Ronin_Network chains (check the stats 😉) ...and lots more (fr, I can't talk about all of them) . What actually moved the needle was this habit I still keep till today: <<<< Here’s one of my secrets 📍 >>>> Before I build anything, I study other people’s work. If I get a new idea, If I get a gig, If I touch a new chain, ➫ I search for dashboards and queries solving similar problems. ➫ I read them line by line. ➫ I then verify if the metrics are accurate and authentic ➫ I try to understand why they made certain decisions. ➫ I also take note of what I like or what caught my attention or what's trending and what users are interested in...and how it aligns with what I'm trying to build That way, I'm more guided with these top OGs work and even do more for my personal project. By doing these a couple of times from different top analyst's/OG's work, I can learn how they think and even combine their ideas/strategies to building something badass. Most of these stuff improved my critical thinking skill that's helping me till now. . That thinking compound kinda shaped projects like: KTTY World Planet Horse Ronin Games Aave, Euler & Fluid on Plasma And it’s the same approach I used while building ronhub.io, where I combined onchain data pipelines with ML, just like I did earlier for @Solana gaming analytics x.com/i/status/19983… ...plus many others. . Fr, most people think growth comes from learning more tools. In reality, it comes from: • asking better questions • studying good work deeply • building consistently, even when it feels slow There maybe no breakthrough moment. But just keep taking daily reps. If you’re building in data or Web3: Don’t rush visibility. Instead, Stack proof of work. The rest will follow. Gm 😉 Happy Friday ❤️

We are revising our developer API policies: We will no longer allow apps that reward users for posting on X (aka “infofi”). This has led to a tremendous amount of AI slop & reply spam on the platform. We have revoked API access from these apps, so your X experience should start improving soon (once the bots realize they’re not getting paid anymore). If your developer account was terminated, please reach out and we will assist in transitioning your business to Threads and Bluesky.

@GrandeeTG as always every good thing always comes to an end. infofi was fun while it lasted. I think it also made people audacious, in the good way.

truly learned a few things from the InfoFi szn > upped my research approach > learnt to spot new trends and hop on em before they got popular > dealt with procrastination > learnt to sell drops at tge (learnt this one the hard way but fair) > studied and connected with some solid creators and founders > learnt to say gm more often was a good run all round for me, now there’s much more work to be done with lots of opportunities to explore gm bros

@KarisOkey 3 or 4

I'm working on the brand identity for a brand where "community" and "growth" are the core of their visual language. I translated this information into four possible logomark directions. I’m also stripping out colour at this stage to test the strength of each mark in its purest form. Which option stands out for you?👇

@GrandeeTG @xmaquina humanoid robots will do the work most humans don't want to

the robotics szn is here and @xmaquina ( $DEUS ) is one of the key drivers of this narrative being a decentralized platform that gives people access to the growing humanoid robotics space. > from research, it uses a community-driven model to support and invest in companies building real-world robots and physical AI systems. humanoid robots are built to move and work like humans, allowing them to operate in environments designed for people. this makes them useful across industries such as manufacturing, logistics, and services. by combining robotics with decentralized ownership, @xmaquina aims to make the future of humanoid technology more open and accessible to everyone.

for those without 21mins to spare to read the actual report, here's the summary.

i published a full review of my 2025 crypto predictions. some calls nailed it. others missed on magnitude. a few were wrong—and those mattered most. final score: 80% accuracy. biggest lesson was overestimating the year itself. that was the real value trap. 👉 Read the full report: passieintelligence.substack.com/p/2025-crypto-…

Built a Quant Execution Bot in Rust — a lightweight market-maker for prediction markets. It simulates quoting, execution, and risk in a fully deterministic research setup. 🦀 Core ideas: • Adaptive bid/ask spreads • Inventory-aware mid-price skew • Simple risk controls (PnL, drawdown, exposure) • Seeded RNG → reproducible experiments The engine: • Simulates taker flow • Matches fills • Tracks inventory & PnL • Emits CSV summaries + JSON tick-by-tick traces Designed for fast iteration and analysis. Why Rust? • Performance • Memory safety • Explicit state ownership Perfect for execution research that can later move toward production. Architecture is compact: ExecutionEngine → MarketMaker → MarketState → Logs Easy to extend with: • limit order books • latency models • alternative quoting rules Contribute or experiment! The code is open-source on GitHub - clone, run, or submit PRs to improve the simulator: GitHub Repo github.com/apostleoffinan… Substack: open.substack.com/pub/apostleoff… #quantitative #rust #marketmaking #predictionmarkets #trading #simulation #fintech #opensource