Freelancer & Creator @scribble_dao, Web3, DeFi, AI & onchain narratives, Long-form threads that educate & convert, Let’s build
San Francisco, CA
Joined June 2025
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𝗧𝗵𝗲 𝗥𝗲𝗮𝗹 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗜 𝗛𝗮𝘃𝗲 𝗔𝗯𝗼𝘂𝘁 $𝗥𝗘𝗕𝗔𝗧𝗘’𝘀 𝗙𝗲𝗲 𝗗𝗲𝘀𝗶𝗴𝗻
One thing I pay attention to when evaluating a launchpad is what happens to the money generated by trading.
With @RebateLaunch, the published fee model directs 60% of platform fees toward dip-buys and 40% toward buybacks and burns.
That split is interesting because it gives the fees two different roles.
The first part is intended to support buying activity during market dips.
The second connects platform activity to the $REBATE buyback-and-burn mechanism.
But the percentages alone don't tell us how effective the model will be.
I'd want to see how much the platform actually generates in fees, how frequently those funds are deployed, and what the completed transactions look like onchain.
There's also a question of consistency.
Trading activity can change significantly between busy launch periods and quieter market conditions.
If fee generation slows down, the amount available for these mechanisms could change too.
That's why I think transparent reporting matters here.
Showing the actual amounts collected, allocated, and spent would help the community evaluate the system using evidence rather than assumptions.
My take:
the interesting part isn't just how Rebate Pad divides its fees.
It's whether the results justify the design over time.
That's what I'd watch as Season 2 of the Starlist campaign gets underway.
$REBATE
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𝗧𝗵𝗲 𝗻𝘂𝗺𝗯𝗲𝗿 𝗜 𝗰𝗮𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗺𝗼𝘀𝘁 𝗶𝘀𝗻'𝘁 𝗷𝘂𝘀𝘁 𝘁𝗼𝗱𝗮𝘆'𝘀 𝗿𝗲𝘄𝗮𝗿𝗱. 𝗜𝘁'𝘀 𝘁𝗵𝗲 𝗽𝗿𝗼𝗴𝗿𝗲𝘀𝘀 𝗼𝘃𝗲𝗿 𝘁𝗶𝗺𝗲.
A good staking strategy should be judged beyond one day's results. I want to understand how rewards accumulate, how the rates change, and whether my chosen plan still makes sense.
That's why I pay attention to the bigger picture rather than getting carried away by a single percentage.
With @basis__pro, tracking progress should go hand in hand with understanding what drives it.
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My Telegram is 1 year old. Older than 21% of all accounts.
My Age pays $AGE and $GRAM for old accounts. Check yours: myageapp.xyz/r/7903190891-AF…
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𝗢𝗻𝗲 𝘁𝗵𝗶𝗻𝗴 𝗜'𝘃𝗲 𝗹𝗲𝗮𝗿𝗻𝗲𝗱 𝘁𝗼 𝗽𝗮𝘆 𝗮𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻 𝘁𝗼 𝗶𝘀 𝘁𝗶𝗺𝗶𝗻𝗴.
Staking isn't only about putting assets to work. You also need to think about when you might need access to them.
That's why lock-up periods and withdrawal conditions deserve attention before choosing a plan. A reward rate can look attractive, but flexibility has value too.
I think this is an important part of making informed decisions on @basis__pro. The goal is to choose a staking plan that fits your timeline, not just the highest number on the screen.
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One thing that gets overlooked in onchain trading is what happens after you open multiple positions.
Finding opportunities is one challenge. Keeping track of them without constantly switching between charts and wallets is another.
This is where position management becomes important.
@Hypesium includes a portfolio monitoring system that lets traders track their positions and profit or loss directly through Telegram.
You can monitor your active trades, configure sell limits and combine that with automated exit strategies such as stop-losses, trailing floors and take-profit ladders.
I like this direction because it brings several parts of the trading workflow into one interface.
Instead of treating every token purchase as an isolated event, you have tools to monitor how your positions are performing and decide what needs attention.
There is also an important distinction between tracking P/L and actually managing risk. A dashboard can show you that a position is moving against you, but your exit settings and execution conditions determine what happens next.
For traders participating in fast-moving Elysium launches, having visibility over multiple positions can be just as useful as having a fast entry.
I would be interested to see how smoothly Hypesium handles portfolio monitoring when a trader has several active positions simultaneously.
hypesium.com
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A trading bot can prepare a transaction perfectly and still face competition when it's time to execute.
That's an important detail people often overlook when discussing fast onchain trading.
When a new token attracts several buyers at once, getting a transaction ready is only part of the process. Submission, ordering and network conditions can all influence the final outcome.
This is an interesting part of @Hypesium's design.
Its sniper prepares the transaction before a liquidity pool exists. Once the pool creation event arrives, the prepared transaction is submitted through four lanes simultaneously.
The bot also has a separate approach to selling: users can attach higher tips to sell transactions to give them priority.
I find the selling side particularly interesting.
Traders usually spend most of their attention optimizing entries, but competitive exits matter too. When liquidity is moving quickly, being able to prioritize a sell can be useful.
There are no guaranteed fills or perfect execution in volatile markets, and higher tips don't eliminate liquidity or price-impact risks.
Still, thinking about transaction priority on both sides of a trade is a more complete approach than focusing exclusively on buying speed.
That's one of the things I'm interested in seeing tested as Hypesium develops on Elysium.
hypesium.com
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Joining @starlisting, where early creators earn rewards to become stars ✨ STAR-YNYF52
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Most traders discover a new token because everyone is already talking about it.
But by that point, the launch may have attracted significant attention, liquidity and competition.
I've been thinking about a different approach: watching where tokens are likely to come from before they become popular.
This is where deployer monitoring becomes interesting.
A deployer is the wallet responsible for creating a token. If you follow particular creators or launch activity, monitoring their wallets can help you identify new launches as they happen.
@Hypesium brings this approach to Elysium through its deployer and ticker sniping features.
You can:
- Arm a snipe on a specific deployer's next token.
- Monitor a particular token name or ticker.
- Track selected wallets and mirror their activity.
- Prepare your trading parameters ahead of a launch.
What I find interesting is the shift in strategy.
Instead of constantly searching for tokens that are already attracting attention, traders can configure what they want to monitor and let the bot watch for relevant launch activity.
Of course, following a deployer doesn't mean every token they create will be legitimate or profitable. Wallet history is a signal to investigate, not a substitute for due diligence.
Still, I think this is an underrated part of launch trading.
Finding an opportunity early is useful. Knowing where to look before the crowd arrives can be just as important.
Hypesium is live on Elysium mainnet.
hypesium.com
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𝗪𝗵𝗲𝗻 𝗮 𝗯𝗹𝗼𝗰𝗸𝗰𝗵𝗮𝗶𝗻 𝗵𝗮𝘀 𝗻𝗼 𝗽𝘂𝗯𝗹𝗶𝗰 𝗺𝗲𝗺𝗽𝗼𝗼𝗹, 𝗮 𝘀𝗻𝗶𝗽𝗲𝗿 𝗯𝗼𝘁 𝗰𝗮𝗻'𝘁 𝗿𝗲𝗹𝘆 𝗼𝗻 𝘁𝗵𝗲 𝘂𝘀𝘂𝗮𝗹 𝘁𝗿𝗮𝗱𝗶𝗻𝗴 𝗽𝗹𝗮𝘆𝗯𝗼𝗼𝗸.
Most trading bots monitor pending transactions to identify activity before it gets included in a block.
But Elysium presents a different environment.
It has no public mempool and produces blocks every 100 milliseconds. That changes where a trading bot needs to focus its attention.
Instead of relying on publicly visible pending transactions, Hypesium is designed around detecting the event that actually creates a liquidity pool.
Its approach is interesting:
1. Prepare the transaction route, calldata and gas before the pool exists.
2. Monitor for the pool creation event.
3. Once the event appears, perform the final nonce check.
4. Submit through four execution lanes simultaneously.
The important design choice here is moving transaction preparation away from the moment of launch.
That matters because when a new pool appears, the bot has less work left to do before submitting the purchase.
This is what makes @Hypesium different from the idea of simply building a fast Telegram trading interface.
It's designed around the specific execution conditions of Elysium rather than treating the chain as just another network to connect to.
I still want to see independent data on its actual opening-block fill rate, failed transactions and execution consistency under heavy launch activity.
Because the real test of a sniper isn't how impressive its architecture sounds. It's how reliably that architecture performs when everyone is trying to enter the same pool.
That's what I'll be watching as Hypesium grows on Elysium.
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𝗔 𝟭𝟬𝟬𝗺𝘀 𝗯𝗹𝗼𝗰𝗸 𝘁𝗶𝗺𝗲 𝗰𝗵𝗮𝗻𝗴𝗲𝘀 𝗵𝗼𝘄 𝘆𝗼𝘂 𝗻𝗲𝗲𝗱 𝘁𝗼 𝘁𝗵𝗶𝗻𝗸 𝗮𝗯𝗼𝘂𝘁 𝘁𝗼𝗸𝗲𝗻 𝗹𝗮𝘂𝗻𝗰𝗵𝗲𝘀.
Elysium produces roughly 10 blocks per second. That means even a one-second delay can represent 10 blocks of trading activity.
Now imagine trying to manually buy a token immediately after its liquidity pool opens.
You still need to identify the contract, configure your transaction, sign it and wait for inclusion.
By then, several blocks may have passed.
This explains an interesting design decision behind @Hypesium.
Instead of waiting for liquidity to appear before building a transaction, its sniper prepares the route, calldata and gas in advance.
When the pool creation event is detected, the prepared transaction is submitted through four lanes simultaneously.
Hypesium claims its execution hot path takes under 5ms.
Here's the part I find particularly interesting.
On a chain without a public mempool, monitoring pending transactions isn't the usual option. Reacting to confirmed events becomes important, and reducing the work required after an event is detected could make a meaningful difference.
But there's a distinction worth understanding:
A 5ms submission process doesn't automatically guarantee a first-block fill. Network propagation, transaction ordering and competition still matter.
That's what I'd want to measure as Elysium trading activity grows.
Not just how quickly a bot submits transactions, but how consistently those transactions land in the intended block.
Hypesium is now live on Elysium mainnet.
Speed is the headline. Execution consistency is the real test.
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𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗪𝗲𝗯𝟯 𝗼𝗿 𝗰𝗿𝘆𝗽𝘁𝗼 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀?
One thing about Web3 is that opportunities are everywhere, but finding the right people and companies to connect with isn't always easy.
That's why the Web3 Talent Network is building a space to connect talented people with potential career opportunities across the industry.
Whether you're into:
- Trading and research
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This could be a good place to get connected.
If you're looking to grow your career in Web3, take a few minutes to join the network.
Apply here:
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Build your skills. Make connections. Find opportunities.
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𝗜 𝗽𝗿𝗲𝗳𝗲𝗿 𝗮 𝗽𝗮𝘁𝗶𝗲𝗻𝘁 𝘀𝘁𝗮𝗸𝗶𝗻𝗴 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗼𝘃𝗲𝗿 𝗰𝗼𝗻𝘀𝘁𝗮𝗻𝘁 𝗮𝗱𝗷𝘂𝘀𝘁𝗺𝗲𝗻𝘁𝘀.
My approach is to understand the terms, choose a plan that fits my goals, and give the strategy room to work.
That's one thing I value about the way @basis__pro approaches staking: it gives users different options to think through instead of treating every staker the same.
The best strategy isn't always the most complicated one. It's the one you understand and can stick with.
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One thing I want to be more intentional about with BASIS is how I manage my stake going into 2027.
I don't want to make decisions just because the market is moving. I'd rather understand the assets I'm holding, review the rewards, and choose a strategy that fits my plans.
For me, staking should be about having a clear plan, not chasing every change.
That's the approach I'm looking to build with @basis__pro.
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𝗢𝗻𝗲 𝗹𝗲𝘀𝘀𝗼𝗻 𝗜’𝘃𝗲 𝗹𝗲𝗮𝗿𝗻𝗲𝗱 𝗶𝘀 𝘁𝗵𝗮𝘁 𝗰𝗼𝗻𝘀𝘁𝗮𝗻𝘁 𝗰𝗵𝗲𝗰𝗸𝗶𝗻𝗴 𝗱𝗼𝗲𝘀𝗻’𝘁 𝗺𝗮𝗸𝗲 𝘆𝗼𝘂𝗿 𝘀𝘁𝗮𝗸𝗲 𝗴𝗿𝗼𝘄 𝗳𝗮𝘀𝘁𝗲𝗿.
When I first started exploring @basis__pro, it was tempting to keep watching every balance movement.
But a better approach is to understand the strategy behind the position, monitor the reward rate, and give yourself room to think beyond short-term changes.
Staking requires patience, but patience should never mean ignoring risk.
Less refreshing. More understanding. Better decisions.
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Mɾ WҽႦ3ƙιɳɠ 👑 retweeted
𝙔𝙚𝙨𝙩𝙚𝙧𝙙𝙖𝙮, $𝟔.𝟑𝟔 𝙗𝙞𝙡𝙡𝙞𝙤𝙣 𝙡𝙚𝙛𝙩 𝘽𝙞𝙣𝙖𝙣𝙘𝙚 𝙬𝙖𝙡𝙡𝙚𝙩𝙨 𝙖𝙘𝙧𝙤𝙨𝙨 𝙩𝙚𝙣 𝙗𝙡𝙤𝙘𝙠𝙘𝙝𝙖𝙞𝙣𝙨. 𝙈𝙤𝙨𝙩 𝙤𝙛 𝙞𝙩 𝙢𝙤𝙫𝙚𝙙 𝙞𝙣 𝙖𝙗𝙤𝙪𝙩 𝟐𝟎 𝙢𝙞𝙣𝙪𝙩𝙚𝙨.
TRM Labs, Chainalysis and the FBI point to TraderTraitor, the North Korean hacking unit tied to the Lazarus Group. The same unit took $1.5 billion from Bybit in February 2025.
Bybit fell to one tricked person.
Hackers fooled a developer at Safe, got malware onto that developer's computer, and the developer approved a command without knowing it. For Binance, investigators suspect a hacked engineer's laptop, though the full path is not confirmed.
𝚃𝚑𝚎 𝚖𝚘𝚜𝚝 𝚊𝚍𝚟𝚊𝚗𝚌𝚎𝚍 𝚑𝚊𝚌𝚔𝚎𝚛𝚜 𝚒𝚗 𝚝𝚑𝚎 𝚠𝚘𝚛𝚕𝚍 𝚜𝚝𝚒𝚕𝚕 𝚜𝚝𝚊𝚛𝚝 𝚠𝚒𝚝𝚑 𝚊 𝚙𝚎𝚛𝚜𝚘𝚗.
Then I took the MEXC Spot the AI Trap quiz and scored 93/100. My card says The Empath.
Strength: reads the vibe.
Blind spot: trusts the robots.
That blind spot is the part that matters. A scam message works by sounding friendly, sounding urgent, sounding like someone you know. Reading the vibe feels like a skill until a machine writes the vibe. AI can now write the message, copy the voice and build the face, so a feeling that something seems right proves nothing.
This is why MEXC's security setup makes sense to me, because it doesn't depend on your gut that day:
𝗧𝘄𝗼-𝗳𝗮𝗰𝘁𝗼𝗿 𝗹𝗼𝗴𝗶𝗻. You choose any two from a passkey, a Google Authenticator code, an email code and a phone code. A stolen password alone gets a thief nowhere.
𝗔𝗻𝘁𝗶-𝗽𝗵𝗶𝘀𝗵𝗶𝗻𝗴 𝗰𝗼𝗱𝗲. Phishing means a fake email or link built to look real. You set your own code, real MEXC emails carry it, and a fake one without it stands out.
No exchange is immune, which is why habits like these matter on every platform. MEXC puts them in front of you, and that is how a platform takes its users' security seriously.
𝑻𝒉𝒆 𝒒𝒖𝒊𝒛 𝒉𝒂𝒔 𝟔 𝒒𝒖𝒆𝒔𝒕𝒊𝒐𝒏𝒔 𝒂𝒏𝒅 𝒕𝒂𝒌𝒆𝒔 𝟔𝟎 𝒔𝒆𝒄𝒐𝒏𝒅𝒔. 𝑭𝒊𝒏𝒅 𝒐𝒖𝒕 𝒘𝒉𝒆𝒓𝒆 𝒚𝒐𝒖𝒓 𝒃𝒍𝒊𝒏𝒅 𝒔𝒑𝒐𝒕 𝒊𝒔:
ai-safety-score.apcollective…
@MEXC @APCollectiveHub
AI scams are getting harder to spot than the real thing
We built the AI Safety Score with @MEXC to test how safe you really are
Try it now: ai-safety-score.apcollective…
Mɾ WҽႦ3ƙιɳɠ 👑 retweeted
Going cross chain.
The pad is built and running on a fork of the next chain. Bridge tested.
Burn tested.
And now stress testing.
One $REBATE token will exist and that's on Robinhood chain; all cross-chain networks will relay revenue to Robinhood to automatically buy and burn Rebate tokens.
Squint all you like, we're not saying yet.
𝗠𝗼𝗯𝗶𝗹𝗲 𝗮𝗰𝗰𝗲𝘀𝘀 𝗺𝗮𝗸𝗲𝘀 𝗶𝘁 𝗲𝗮𝘀𝗶𝗲𝗿 𝘁𝗼 𝘀𝘁𝗮𝘆 𝗼𝗻 𝘁𝗼𝗽 𝗼𝗳 𝗺𝘆 𝘀𝘁𝗮𝗸𝗶𝗻𝗴.
I mostly prefer checking @basis__pro from my phone because I can quickly review my balance, staking position, and reward updates without needing to sit in front of a computer.
I don't always need a deep analysis session. Sometimes, I just want a quick overview to know where things stand.
A good platform experience should fit into your routine, not make your routine revolve around it.
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Mɾ WҽႦ3ƙιɳɠ 👑 retweeted
Episode 01: Pangea.
Same chain, same Uniswap v4, opposite philosophy.
They optimise for where a coin can be bought.
We optimise for why anyone would buy it.
Bonus tokens on every buy. Holder payouts. Liquidity 100% burned.
Holders come first, everything else follows.
Full fact table 👇 Who's next?
𝗣𝗿𝗶𝘃𝗮𝗰𝘆 𝘀𝗵𝗼𝘂𝗹𝗱𝗻'𝘁 𝗰𝗼𝗺𝗲 𝗮𝘁 𝘁𝗵𝗲 𝗰𝗼𝘀𝘁 𝗼𝗳 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲.
Arcium Blackthorn is live in Private Alpha.
Instead of trusting vulnerable hardware security, Blackthorn uses cryptography to make AI computations private without relying on CPU TEEs.
With support for Hopper and Blackwell GPUs, private AI is becoming more practical for real-world applications.
2.6M+ computations already completed.
The next era of AI needs privacy built in.
@Arcium
#Arcium #Blackthorn #PrivateAI #ARX
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Mɾ WҽႦ3ƙιɳɠ 👑 retweeted
🎉Rebate Pad x @Uniswap
Our hook has been approved and is now on Uniswap's routing allowlist.
Every token launched on the pad can be traded straight from the Uniswap app on Robinhood Chain, bonus tokens included.
Uniswap's routing API now sends the trades through our rebate pool.
