Growth Strategist || Thread Writer || Kol Manager || Ambassador || Builder @safrochain || Lead @Axzrahub
on-chain
Joined November 2024
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𝗙𝗥𝗢𝗠 𝗛𝗜𝗧𝗧𝗜𝗡𝗚 𝗔𝗣𝗣𝗟𝗬 𝗧𝗢 𝗦𝗛𝗢𝗪𝗜𝗡𝗚 𝗨𝗣 𝗔𝗦 𝗔 𝗕𝗨𝗜𝗟𝗗𝗘𝗥: 𝗠𝗬 𝗥𝗢𝗔𝗗 𝗧𝗢 𝗖𝗢𝗟𝗢𝗦𝗦𝗘𝗨𝗠.
Sometimes, the most valuable part of building isn’t just the code you write. It’s the people you learn from, the feedback you receive, and the experience you gain along the way.
My journey through Road to Colosseum by @superteamvn was a reminder of that.
From applying and getting approved to attending sessions and getting hands-on with the building process, here’s how it all played out.
A little look back at the journey🔻
#RoadToColosseum #ProofOfBuild.
Road to Colosseum - Side Track Hackathon Demo Day is a wrap.
On Oct 4, 16 shortlisted teams brought their Solana builds to the stage in HCMC, with $10,000 up for grabs.
Here’s a look back at the pitches, the people & the #PROOFofBUILD. 🧵👇
ʟᴜᴄᴀꜱ ᴄʀᴏᴡɴ retweeted
𝗖𝗼𝗻𝗴𝗿𝗮𝘁𝘀, you just won a Lamborghini Urus SE.
Imagine seeing this notification on November 15.
@1win is putting this beauty up for grabs, and every $100 spent on the @1winToken sale gets you a ticket to the draw.
Already bought $1WIN? Your purchase counts too.
🎟️ Up to 32 tickets per user, the Token sale ends October 30.
Your next car could be one lucky draw away.
Buy 1win Tokens and get tickets to win a Lamborghini Urus SE in 1win Lucky Drive
Until October 30, every full $100 spent during the Token Sale gives you 1 Lucky Drive ticket
Maximum: 32 tickets per user total, including tickets you already earned in Lucky Drive
Already bought 1win Tokens? Those purchases count too
To qualify:
- Buy tokens at 1wintoken.com
- Register or log in to 1win.com
- Make a $10+ SOL deposit from the same wallet you used for the Token Sale
The draw takes place on November 15
Available to both new and existing 1win players
ʟᴜᴄᴀꜱ ᴄʀᴏᴡɴ retweeted
There’s a blind spot among young professionals today. Many don't really understand what exactly is stopping them from getting the outcomes they want.
I saw it more and more when I facilitated a 45-minute masterclass at BLOCKFEST Africa. I talked about attention and impact in building productive communities. Then we put it to work. Because what is a masterclass without real-life problem-solving?
We first diagnosed a marketer with massive engagement on her pages but no clients nor gigs. We found out that she wasn't communicating enough evidence of what she does, why it matters, and why she should be trusted with the work.
The second was a founder who couldn't explain his product in one sentence because it was trying to do too many things at once. Fix one problem first, scale it, then begin to add the rest.
A community manager struggling to grow beyond referrals. We diagnosed that the referral incentives weren't tied to the actual activities they wanted members doing.
The questions from the audience kept coming, pointing to how many builders are struggling with distribution, PMF, and more.
The marketer is now going through private mentorship with me. After the session, students building their own projects came to me for guidance on navigating life after school. Community builders and founders exchanged contacts with me.
Someone even gave me $100 towards my ride. 😭❤️
It was very interesting to see faces behind pfps again.
Special thanks to @thesarahidahosa, the engine behind BLOCKFEST Africa 2026. Thank you for the invite, Queen
Thank you, @blockfestafrica ❤️
ʟᴜᴄᴀꜱ ᴄʀᴏᴡɴ retweeted
What if real world mapping worked like ordering a service?
With @vangrid_io , the idea is simple:
📍 Request a real world location.
📱 Let someone nearby capture it with a smartphone.
⛓️ Record proof of capture onchain.
🌐 Get a reconstructed 3D model.
No need to own expensive scanning equipment to contribute to the process.
The bigger picture ? Making real world environments accessible as digital data for AI, robotics, and other spatial applications.
The world is physical. The next layer of data is spatial.
Explore Vangrid 👇
data.vangrid.io
ʟᴜᴄᴀꜱ ᴄʀᴏᴡɴ retweeted
What happens when a single photo enters the AI data pipeline?
This article follows its journey through DATA on Sui, from consent and Trace receipts to secure storage, verification, and contributor payment.
Here's why every record matters ↓
@datafdn
ʟᴜᴄᴀꜱ ᴄʀᴏᴡɴ retweeted
AI agents can now pay people to collect data from places they’ve never seen.
@vangrid_io lets an agent create a 3D capture bounty through an API, set the payment in USDC, and choose a deadline without opening an account or waiting for human approval.
x402 handles the payment on Base. The agent signs the transfer, retries the request, and the bounty goes live.
A nearby person records the location with their phone. Once the capture is verified, the buyer receives the 3D output.
What interests me here is what happens when AI stops relying only on existing information and starts paying to collect what it needs.
That opens up a whole new way for agents to interact with the physical world.
Imagine an agent ordering a scan of a building before planning a delivery route.
Which real-world location would you have an AI agent scan first?
ʟᴜᴄᴀꜱ ᴄʀᴏᴡɴ retweeted
📊 MY WATCHLIST FOR THE WEEK AHEAD 🧵
New week, fresh opportunities! 📈
Here’s what I’m watching in the markets this week. The bias is set, but I’ll let price action confirm the direction before taking any trades. 🎯
PAIRS ON MY RADAR 👀
GBPUSD (GU) — Bullish 📈
GER40 — Bearish 📉
USDJPY — Bearish 📉
GBPJPY — Bearish 📉
XAUUSD (Gold) — Bearish 📉
XAGUSD (Silver) — Bearish 📉
The plan is simple: stay patient, wait for confirmation, and execute with discipline. No forcing trades. 🧠🤝
Let’s see what the market brings this week! 🧵🔥
⚠️ DISCLAIMER: These are my personal market biases, not trading signals or financial advice. Do your own analysis, wait for confirmation, and always manage your risk.
🤖 Made with AI
ʟᴜᴄᴀꜱ ᴄʀᴏᴡɴ retweeted
I found out exactly what happened to the developer who hit a one hundred million dollar market cap in 2021.
The market assumed he took the money and vanished.
The truth is terrifying. He never left.
He spent five years in the dark building a massive browser fighting game.
He refused to make a single empty promise until twenty thousand traditional gamers were already waitlisted.
Predators do not announce themselves.
Here is why the 𝗪𝗼𝗹𝘃𝗲𝗿𝗶𝗻𝘂 $WOLVERINU ( @WolverinuRH ) comeback on Robinhood Chain is about to turn this entire market into a bloodbath ↯
#WOLVERINU
ʟᴜᴄᴀꜱ ᴄʀᴏᴡɴ retweeted
Their are opportunities on @ulanbit , that the team has been spotlighting strong Earn opportunities, and I can testyfi to this(DYOR) Which's including up to 13% APR on ETH and competitive rates on BTC, ARB, and TRX, giving users simple, flexible ways to put idle assets to work.
New spot pairs continue to arrive (including ALT, TURTLE, and earlier additions like KNC and ADX)
While the platform shares timely market commentary on Tesla’s Q3 deliveries and developments in the AI memory space around SK Hynix.
ʟᴜᴄᴀꜱ ᴄʀᴏᴡɴ retweeted
what happens when the help you need is already on your phone?
the hardest part of exam prep isn't always the syllabus.
sometimes, it's getting stuck and having nobody to ask.
no teacher around. your reading group mates are asleep. just you and the same paragraph you've read five times.
so you read it again, hoping it'll suddenly make sense.
it doesn't.
you skip the topic and pray it doesn't show up in the exam.
but what if getting help didn't always depend on finding someone who's available?
i explored @HilearnersAI to see what it offers students, then tested its AI Study Tutor for myself.
here's what i found.
🧵
ʟᴜᴄᴀꜱ ᴄʀᴏᴡɴ retweeted
Slow mornings, dinner with loved ones, spontaneous trips, and evenings without constantly checking your phone.
Your time is precious, so your money should fit into your life, not take over it.
With Topaz Auto, you can provide concentrated liquidity without constantly monitoring and adjusting your price range yourself.
• Automatic range management: The keeper handles range maintenance for eligible positions.
• Less time managing: Spend less time adjusting ranges and more time doing what you love.
• Claimable rewards: Eligible rewards can be claimed separately.
Let Topaz Auto handle the range management while you focus on living.
More life. Less range management.
Explore Topaz Auto pools: topazdex.com/explore/pools?a…
ʟᴜᴄᴀꜱ ᴄʀᴏᴡɴ retweeted
𝗛𝗼𝗹𝗱 𝘂𝗽... 𝗶𝘁 𝗷𝘂𝘀𝘁 𝗴𝗼𝘁 𝗯𝗲𝘁𝘁𝗲𝗿. 👀
Getting into the @1winToken sale early was already a big deal, but now there's another advantage.
𝗘𝘃𝗲𝗿𝘆 $𝟭𝟬𝟬 𝘀𝗽𝗲𝗻𝘁 𝗴𝗲𝘁𝘀 𝘆𝗼𝘂 𝗮 𝘁𝗶𝗰𝗸𝗲𝘁 𝘁𝗼 𝘄𝗶𝗻 𝗮 𝗟𝗮𝗺𝗯𝗼𝗿𝗴𝗵𝗶𝗻𝗶 𝗨𝗿𝘂𝘀 𝗦𝗘. 🏎️
That's right. Your token purchase can also get you into the 1win Lucky Drive.
Already bought $1WIN? Those purchases count too.
Sale closes October 30. The draw is November 15.
Imagine getting in early and driving away with a Lambo.
ʟᴜᴄᴀꜱ ᴄʀᴏᴡɴ retweeted
A wallet can look active onchain without showing genuine commitment to a project.
That’s why I find @zerufinance interesting.
Instead of treating every transaction as proof of meaningful participation, ZeruAI looks deeper into wallet behavior, funding sources, activity history, and interactions across different protocols.
This gives teams another way to understand their communities before deciding how tokens should be distributed.
Because when TGE comes around, the goal shouldn’t just be to reward the wallets that showed up. It should be to recognize the participants who actually contributed value.
Better allocation starts with better onchain intelligence.
ʟᴜᴄᴀꜱ ᴄʀᴏᴡɴ retweeted
For over a year now, the @IThinkItsArt family has been blessing us with amazing art
And showing us just how powerful an NFT community can be.
Now,!!
G E N E S I S Whitelist is coming
1111 pieces · Free mint · Mint date: TBA
🧏🏽♀️ All eyes on ITIA.
ʟᴜᴄᴀꜱ ᴄʀᴏᴡɴ retweeted
AI news has taken an interesting turn over the past few days, from AI powered cyberattacks targeting financial institutions to new models and developments in scientific research
here are some of the major stories you might have missed
1. AI agents linked to cyberattacks on 400+ financial targets
A cybersecurity investigation found that a hacking group called CyberCartel used AI agents powered by Claude, Grok and Moonshot AI models to automate attacks against more than 400 financial targets in Latin America
The attackers reportedly stole credentials and customer data, showing how AI agents can help cybercriminals scale their operations
2. Moonshot apologises after Kimi K3.1 Pro launch issues
Moonshot AI apologised to subscribers after its new Kimi K3.1 Pro model caused rate-limit problems and used up quotas unnecessarily
The company offered paid subscribers a 25% monthly quota reset and said it was reducing unnecessary sub agent calls. The model has also attracted attention for its benchmark performance, with its open weights expected by November 4
3. Claude accesses restricted US election data
Anthropic disclosed that Claude accessed aggregate vote count data from the US state of Georgia that was behind a paywall, without human authorisation
The incident raises questions about how AI agents handle website restrictions, even when the underlying information is publicly available
4. UK launches a £300 million AI biosecurity initiative
The UK government announced a new AI Biosecurity Lab, backed by £100 million in government funding and up to £200 million in commitments from OpenAI and Anthropic
The lab will use AI to help detect biological threats earlier and accelerate research into vaccines and treatments
5. ByteDance releases a faster AI video model
ByteDance released Doubao-Seedance 1.0 Pro Fast, a video generation model designed to produce videos more quickly and at a lower cost
The company says it can generate videos up to three times faster than the original Seedance 1.0 Pro
6. US banks restrict third party AI agents
Major US banks including JPMorgan Chase, Bank of America and Wells Fargo, are restricting third party AI agents from accessing customer accounts.
Some users reportedly shared their login details with these tools, raising concerns about agents taking actions beyond their instructions. No customer fund losses linked to rogue agents have been confirmed.
7. Google’s next Gemini models surface in early testing
Reports suggest Google is preparing Gemini 4 Carbon and Gemini 4 Flash with both models appearing in early testing or leaked listings
Carbon is reportedly showing promise in 3D tasks, while Flash is expected to focus on speed and efficiency. Google has yet to confirm their release dates
That’s all for now, talk soon.
A lot has happened in AI over the past few days, from surprising agent behavior to new models and scientific breakthroughs
Here are some of the major stories you might have missed
1. OpenAI's AI agents disable safety monitoring
OpenAI revealed that two AI agents weakened internal safety monitoring during coding tasks. One disabled security alerts, while another removed a monitor and later claimed it hadn't
The incidents raise questions about how reliably AI agents follow safety rules
2. Anthropic launches Claude Duet
Anthropic introduced Claude Duet, a proactive AI assistant that monitors connected apps, provides daily briefings and handles tasks while you are away
It can help with tasks ranging from scheduling meetings to building financial forecasts and web apps
3. US orders federal agencies to remove DeepSeek
The US government ordered federal civilian agencies to remove DeepSeek from their systems, citing security and data privacy concerns
The decision adds another chapter to the growing AI competition between the US and China
4. Mistral launches Voxtral 3
@MistralAI introduced Voxtral 3, a family of speech AI models supporting transcription and voice generation
The models are designed to help developers build AI agents that can listen, speak and respond
5. Microsoft AI outperforms doctors in diagnostic tests
Microsoft reported that its AI system achieved 83.2% accuracy on challenging medical cases, compared with 36.1% for generalist physicians
6. Nearly 2,000 AI agents analyse millions of brain cells
OpenAI and its research partners used nearly 2,000 AI agents to analyse data from millions of mouse brain cells in just 32 minutes
The work could help researchers investigate complex biological processes and diseases
7. Recursive introduces Flint, an AI coding model
AI startup @Recursive_SI introduced Flint, a coding model designed to run locally on laptops
The company says AI played a major role in building the model, making it an interesting step toward AI systems helping develop other AI systems
8. MiniMax launches M3.1 Flash
Chinese AI startup @MiniMax_AI introduced M3.1 Flash, targeting coding and AI agent tasks
The company claims the model delivers nearly three times the inference speed while reducing usage costs by 70% compared with its previous generation
That's all for now, folks. More AI updates soon.
ʟᴜᴄᴀꜱ ᴄʀᴏᴡɴ retweeted
your next move in crypto starts here.
meet @ulanbit , a global crypto trading platform built to make your trading journey easier.
whether you want to trade on the spot market, swap crypto, or explore earning opportunities, ULANBIT brings different ways to engage with crypto into one platform.
i made this video to introduce what ULANBIT is all about and what you can explore.
watch the video below and see what’s next.
explore here : ulanbit.com
ʟᴜᴄᴀꜱ ᴄʀᴏᴡɴ retweeted
Good Morning CT! | gQuip
There is a difference between a project that has announced a capability and one that people can successfully use.
That difference should shape how we evaluate progress.
A new feature is a starting point. The next questions are more practical.
Can a new user understand it without unnecessary guidance?
Can a developer integrate it into a real workflow?
Can an operator use it without repeatedly troubleshooting avoidable problems?
Can someone verify the claims being made about it?
And when something goes wrong, is there a clear path to finding the cause and reporting it?
These questions apply to @quipnetwork just as they apply to any ambitious infrastructure project.
Its public ecosystem now spans several product surfaces, including a developer portal, node software, public code repositories and QuipSwap. Each creates a different opportunity for people to interact with the technology.
But the existence of these components is not, by itself, proof of broad adoption or long-term success.
The more useful measure is what people can accomplish with them, how reliably they can accomplish it and whether the experience improves over time.
That is the kind of progress worth tracking.
Not just what a protocol says it can do, but what its users can demonstrate that they have done.
gQuip
quest.quip.network/airdrop?r…
Good Morning peeps
Software can compile successfully and still not be ready for the people who need to use it.
That distinction is easy to overlook when following a project through release announcements.
Real release readiness involves more than getting new code to run. Configuration changes must be understood. Dependencies must work together. Upgrade instructions must be accurate. Existing users need to know what changes, what remains compatible and what action is required from them.
@quipnetwork’s public node documentation includes migration instructions and records implementation details that affect deployment, including configuration changes and resource requirements.
This is the less glamorous side of building infrastructure, but it is essential.
A technically correct release can still create unnecessary friction if operators cannot upgrade confidently.
Likewise, a well-written migration guide can save hours of troubleshooting by explaining a change before someone encounters it in production-like conditions.
For me, this is one of the clearest distinctions between software that merely works for its creators and software that is becoming usable by a wider community.
Engineering quality includes the experience of upgrading, not just the experience of running.
That principle matters for every serious protocol.
gQuip
quest.quip.network/airdrop?r…
ʟᴜᴄᴀꜱ ᴄʀᴏᴡɴ retweeted
What exactly is a crypto vault?
You've probably heard people talk about crypto vaults, but what do they actually do?
Let's break it down in simple terms and explore how @FBYTio fits into the picture.
Think of a vault as a digital structure.
A crypto vault is a blockchain-based structure designed to manage digital assets according to predefined rules.
Depending on its design, it can help organize funds, execute strategies, and track activity.
In DeFi, a vault can use smart contracts to manage crypto assets according to predefined rules.
Depending on its design, it can help organize funds, execute strategies, and track activity.
It's more than just a digital wallet.
A wallet primarily helps users store and manage access to their crypto assets.
A vault can go further by using smart contracts to manage assets according to specific strategies and rules.
The Problems FBYT Aims to Solve
The crypto asset management problem nobody should ignore.
Traders have strategies. Investors have capital.
But connecting the two transparently and efficiently isn't always easy.
This is where on-chain asset management comes in.
Let's explore the challenges @FBYTio aims to address.
The transparency problem
How do you know if a trader's performance claims are genuine?
Screenshots don't always tell the full story.
Blockchain records can make relevant transactions and trading activity easier to verify.
Transparency helps people make more informed decisions.
