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From today, Gojo is switching modes. đș
No more âWeb3 Wandererâ hype only. Iâm now Gojo in Web3 â Global Economics & Crypto KOL with Athlete Mindset.
Macro analysis + Web3, but explained through basketball & sports lens. Why?
Because trading = sports: strategy, mental game, and quick reflexes.
saw a lot of fake hiring posts for web3 company on social, even on Linkedln. these fug scammers act sophisticately now.
below I will help you guys to avoid that kind of shits. i actually use Gemini to structure the steps but it my own expreriences so yeah, please noted it not to be scam. i been through a shit with this scam: Web3 Space
1. The "Soulless" LinkedIn Profile
Don't be fooled by a fancy title like "Head of Talent" or a suit-and-tie profile picture. Look at the "DNA" of the account:
The Suffix of Doom: As you spotted, a URL ending in a random string of numbers (like alina-m-a0393935b) is a huge red flag. Real professionals especially in Web3, take 10 seconds to customize their URL. A messy suffix usually means the account was auto-generated by a bot.
The "Incognito" Name: People who only use an initial for their last name (e.g., Ruslan Z.) are trying to make sure you can't Google their past. In a transparent industry like Web3, real people want to be found.
Zero "Human" Activity: If their profile has no real comments, no debates in the industry, and no endorsements from people outside their own "company," itâs a ghost town. Itâs a shell account designed to hunt, not to network.
2. The "Global Giant" Illusion
Scammers love to make their tiny operation look like a Fortune 500 company:
Regional Page Spam: Why does a startup with no product need separate LinkedIn pages for USA, Europe, Asia, and Singapore? Itâs a tactic to look "too big to fail" and to avoid being totally shut down if one page gets reported.
The "Logo Salad": Theyâll plaster Polkadot, NEAR, or Binance logos all over their site. Rule of thumb: Web3 is built on proof. If you canât find a tweet or a press release from the actual big project confirming the partnership, those logos are just stolen JPEGs.
3. The "Love at First Sight" Interview
Real hiring is a pain. Itâs slow, itâs rigorous, and itâs full of skepticism. Scam hiring is the opposite:
Flattery as a Weapon: Theyâll tell you youâre "the perfect fit" after 15 minutes. If the interview feels too easy and they aren't grilling you on your actual skills, they aren't looking for a teammate, theyâre looking for a victim.
The Salary Bait: Theyâll offer a salary thatâs 20-30% above market rate to make you so excited that you stop paying attention to the red flags.
4. The "Final Boss": The Malware Drop
This is the only part of the "play" that actually matters to them. Everything before this was just acting.
The File Trap: They will eventually ask you to download a .zip, .dmg, or .exe file. Theyâll claim itâs a "Project Brief," a "Technical Test," or their "Internal HR Portal."
The Truth: One click and itâs over. These files contain Infostealers that bypass 2FA, suck up your browser cookies, and drain your MetaMask or Phantom wallets in seconds.
My "Golden Rules" for You:
Trust the Domain, Not the Name: If they say they are from a company but email you from a
@gmail.com or a weird -jobs.net address, block them. It must be the exact official domain.
No Downloads, Ever: Legit Web3 companies use Google Docs, Notion, Figma, or Slack. If someone tells you that you must download a file to see the job description, they are a hacker. Period.
The "Proof of Partnership" Test: Ask them point-blank: "Can you show me the official announcement from [Big Project] about your partnership?" Watch how fast they start making excuses.
you dont have to believe me, you can check with any AI, they will help you to clarify. stay safe with your pocket
Trump just held another news conference on the Iran situation.
He said the US has made progress but will continue hitting Iran âextremely hardâ for the next 2â3 weeks. No clear exit plan mentioned.
This ongoing tension is the main reason oil stays elevated and gold remains strong as a safe-haven.
When geopolitics heats up like this, crypto usually feels the volatility too, we saw it clearly after his previous speech.
Athlete mindset reminder: Donât chase the moves driven by headlines. Stay calm and keep your defense solid.
What do you think? will this situation end in the next few weeks or drag longer?
Reply with your take. đș
Trump & Iran: Straight Macro Take
Trump dropped another prime-time speech last night and basically said: âWeâre making progress in Iran⊠but weâre still going to hit them extremely hard for the next 2â3 weeks.â
No exit plan. No timeline. Just more pressure.
This is exactly why oil keeps spiking and gold stays strong, geopolitics is the real driver right now, and itâs feeding straight into crypto volatility.
Every time Trump speaks lately, the whole market twitches. It feels like weâre watching a high-stakes chess game with real money on the line.
Athlete mindset right now: stay calm, donât chase the spike, and keep your defense tight.
What do you think? is this Iran situation going to drag on for months or end quicker than people expect?
Reply and tell me your take. đș
#Crypto #Macroeconomics #Gold #Oil #Bitcoin #Trump
Gojo in web3 retweeted
and here is the full architecture of the LLM Knowledge Base system covering every stage from ingest to future explorations.
LLM Knowledge Bases
Something I'm finding very useful recently: using LLMs to build personal knowledge bases for various topics of research interest. In this way, a large fraction of my recent token throughput is going less into manipulating code, and more into manipulating knowledge (stored as markdown and images). The latest LLMs are quite good at it. So:
Data ingest:
I index source documents (articles, papers, repos, datasets, images, etc.) into a raw/ directory, then I use an LLM to incrementally "compile" a wiki, which is just a collection of .md files in a directory structure. The wiki includes summaries of all the data in raw/, backlinks, and then it categorizes data into concepts, writes articles for them, and links them all. To convert web articles into .md files I like to use the Obsidian Web Clipper extension, and then I also use a hotkey to download all the related images to local so that my LLM can easily reference them.
IDE:
I use Obsidian as the IDE "frontend" where I can view the raw data, the the compiled wiki, and the derived visualizations. Important to note that the LLM writes and maintains all of the data of the wiki, I rarely touch it directly. I've played with a few Obsidian plugins to render and view data in other ways (e.g. Marp for slides).
Q&A:
Where things get interesting is that once your wiki is big enough (e.g. mine on some recent research is ~100 articles and ~400K words), you can ask your LLM agent all kinds of complex questions against the wiki, and it will go off, research the answers, etc. I thought I had to reach for fancy RAG, but the LLM has been pretty good about auto-maintaining index files and brief summaries of all the documents and it reads all the important related data fairly easily at this ~small scale.
Output:
Instead of getting answers in text/terminal, I like to have it render markdown files for me, or slide shows (Marp format), or matplotlib images, all of which I then view again in Obsidian. You can imagine many other visual output formats depending on the query. Often, I end up "filing" the outputs back into the wiki to enhance it for further queries. So my own explorations and queries always "add up" in the knowledge base.
Linting:
I've run some LLM "health checks" over the wiki to e.g. find inconsistent data, impute missing data (with web searchers), find interesting connections for new article candidates, etc., to incrementally clean up the wiki and enhance its overall data integrity. The LLMs are quite good at suggesting further questions to ask and look into.
Extra tools:
I find myself developing additional tools to process the data, e.g. I vibe coded a small and naive search engine over the wiki, which I both use directly (in a web ui), but more often I want to hand it off to an LLM via CLI as a tool for larger queries.
Further explorations:
As the repo grows, the natural desire is to also think about synthetic data generation + finetuning to have your LLM "know" the data in its weights instead of just context windows.
TLDR: raw data from a given number of sources is collected, then compiled by an LLM into a .md wiki, then operated on by various CLIs by the LLM to do Q&A and to incrementally enhance the wiki, and all of it viewable in Obsidian. You rarely ever write or edit the wiki manually, it's the domain of the LLM. I think there is room here for an incredible new product instead of a hacky collection of scripts.
We probably just stay the hell out of the game rn đ«„ Maybe bought some BTC and forget it till it hit $200k
Drift Protocol Hack Quick Update
Just saw the numbers this morning and damn⊠Drift on Solana got hit hard.
Attackers drained about $285 million from the main vault on April 1. The vault went from ~$309M down to ~$41M in minutes. This is now the biggest DeFi hack of 2026 and the second-largest ever on Solana.
It wasnât a smart contract bug. They used Solanaâs âdurable noncesâ feature to basically take over admin keys. Funds got swapped to USDC, bridged to Ethereum, and turned into ETH. Some on-chain guys are linking it to North Korean hackers.
Drift team paused everything (deposits, withdrawals) and had to tweet âthis is not an April Fools joke.â DRIFT token dropped 25â37%, and the whole Solana DeFi space is feeling it.
Honestly, even big protocols can get wrecked when governance keys are weak. If youâre doing LP farming or perps on Solana right now, double-check your permissions and keep positions small.
Quick macro snapshot right now:
Gold: ~$4,676/oz (still holding strong)
Oil (Brent): ~$109
Bitcoin: ~$66,800
Stay safe out there.
Whatâs your take on this one? Reply. đș
#DriftHack #Solana #DeFi #Crypto
Drift Protocol Hack Update (April 2, 2026)
Drift Protocol on Solana was exploited yesterday.
Around $270Mâ$285M was drained from the main vault in minutes. The vault went from ~$309M down to ~$41M.
This is the biggest DeFi hack of 2026 so far and the second-largest in Solana history.
The attacker used what looks like a governance/admin key compromise (not a smart contract bug). They pulled large amounts of JLP (~$155M), USDC, WSOL, WBTC and other assets, swapped to USDC, bridged to Ethereum via Circle CCTP, and bought ETH.
Drift team confirmed an âactive attackâ, paused all deposits and withdrawals, and told users to stop interacting. They specifically said this is ânot an April Fools joke.â
DRIFT token dropped 25â40% on the news.
Quick note: Even big protocols can get hit hard when admin keys or governance are weak. Always use small positions and never leave everything in one place.
Stay safe out there. Iâll update if more details come out.
What do you think? does this change how you look at Solana DeFi?
Straight talk on LP farming right now.
Oil is volatile, Gold is playing defense. Many are looking for steady yield.
Not passive income. Start small and only use money you can afford to lose.
What pools are you farming? Reply. đș
#DeFi #LPFarming #Crypto #Gold #Oil
Letâs talk a little about DeFi â specifically LP farming at the moment.
In this volatile macro environment with oil spiking and gold acting defensive, many people are looking for ways to earn yield on their crypto without taking too much extra risk.
LP farming is one option Iâve been observing.
Simple breakdown below.
My personal reminder
LP farming can be a useful tool, but itâs not passive income without risk. Always check IL, smart contract risks, and protocol audits.
Start small, understand the pool mechanics, and never put in money you canât afford to see fluctuate.
Thatâs my simple take on LP farming right now.
If youâre already doing it or considering it, feel free to share your experience (what pairs or chains you like). Iâm still learning too.
Thanks for reading. More macro + DeFi thoughts coming. đș
#DeFi #LPFarming #Web3 #Crypto