Washed Creator. DeFi bro
Joined September 2010
- Tweets21.4K
- Following1K
- Followers2K
- Likes21K
Kryptek retweeted
Brands may need to rethink their creative workflows as tools like @UseFastlane evolve
๐ค Paid partnership
Kryptek retweeted
Thereโs more to being part of a crypto community than just following an account or joining a group.
Itโs also about the opportunities to participate, connect with others and learn something along the way.
Thatโs one side of @bestchangeeng Iโd like to highlight.
Over time, @bestchangeeng has organised different community activities, contests and campaigns. And alongside these, it shares educational content to help its audience understand different crypto concepts.
Letโs look at some of them.
โ๐๐จ๐ง๐ญ๐๐ฌ๐ญ๐ฌ ๐๐ง๐ ๐๐๐ฆ๐ฉ๐๐ข๐ ๐ง๐ฌ
@bestchangeeng has previously organised public campaigns, including contests where participants could complete tasks, engage with its content and win rewards.
โ๐๐ก๐ ๐๐ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ
One example is the @bestchangeeng OG Program, a community initiative that ran for a month in April and May. It featured community participation, roles, a points system, weekly leaderboards and cash rewards.
โ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐ญ๐ก๐ซ๐จ๐ฎ๐ ๐ก ๐๐ซ๐ฒ๐ฉ๐ญ๐จ ๐๐จ๐ง๐ญ๐๐ง๐ญ
@bestchangeeng also shares educational content through its Crypto Dictionary series, where different crypto terms and concepts are explained in a way that helps readers build their knowledge.
๐๐ป๐ฑ ๐๐ต๐ฎ๐โ๐ ๐ป๐ผ๐ ๐ฒ๐๐ฒ๐ป ๐ฎ๐น๐น. ๐ง๐ต๐ฒ๐ฟ๐ฒโ๐ ๐๐๐ถ๐น๐น ๐บ๐ผ๐ฟ๐ฒ ๐๐ผ ๐ฑ๐ถ๐๐ฐ๐ผ๐๐ฒ๐ฟ ๐ถ๐ป ๐๐ต๐ฒ ๐๐ฒ๐๐๐๐ต๐ฎ๐ป๐ด๐ฒ ๐ฐ๐ผ๐บ๐บ๐๐ป๐ถ๐๐!
โ๐๐จ๐ซ๐ ๐ญ๐ก๐๐ง ๐๐ฑ๐๐ก๐๐ง๐ ๐ ๐๐จ๐ฆ๐ฉ๐๐ซ๐ข๐ฌ๐จ๐ง๐ฌ
So, beyond helping users compare exchange offers, BestChange also creates opportunities for people to engage with its community and learn more about the crypto space.
Want to keep up with what @bestchangeeng shares and any future community activities? Follow @bestchangeeng and be part of what theyโre building.
Kryptek retweeted
reading the market takes more than watching candles. @TakeProfitHQ gives traders additional tools to dig deeper.
๐ค Paid partnership
Kryptek retweeted
a good trading setup starts with having the right tools in one place.
but @TakeProfitHQ is bringing more flexibility to charting.
๐ค Paid partnership
I watched the launch video, opened a new tab immediately
Thats how fast i got hooked btw
๐ค Paid partnership
Kryptek retweeted
real estate usually revolves around location, demand and timing.
@fomopoly_rh takes some of those familiar ideas into a digital city on Robinhood Chain
except here, land plots connect to stocks and $DEAL making the ownership experience part of an onchain game. @rarelistio
Kryptek retweeted
Most NFTs are private in name only.
You might own the NFT, but that doesn't mean its contents are private.
On a public blockchain, ownership and transaction activity can be inspected. Depending on how the NFT is built, its metadata and traits may also be visible to everyone.
Think about what that means for an NFT game.
If your opponent can inspect your character's hidden abilities, stats or items before a match even begins, some of the excitement is already gone.
This is one problem @FungoLabs is exploring with Fully Homomorphic Encryption (FHE).
FHE allows computations to happen on encrypted data without first revealing the underlying information.
That opens up some interesting possibilities:
โ NFT traits that remain hidden until the owner chooses to reveal them.
โ Game mechanics that can work with private attributes.
โ Digital assets that offer more than publicly visible metadata.
Fungo is building around an idea worth paying attention to: you should be able to use digital assets without having to expose everything they contain.
NFTs have explored ownership. Privacy could open another chapter.
Stay glued to fungo ๐ค
Kryptek retweeted
Agent Dojo: Where AI Agents Are Put to the Test
I've been looking more closely at what @agentdojo is building, and one aspect I find particularly interesting is its approach to developing AI agents through training and competition.
Most conversations around AI agents tend to focus on what they can do, how intelligent they are, or how much automation they can handle. But there's another question worth asking:
How do we actually measure an agent's ability to perform under pressure?
This is where Agent Dojo introduces an interesting concept.
Rather than treating AI agents as tools that simply execute instructions, the project explores a competitive environment where agents can be trained, challenged, and tested against one another.
Here's how I understand the model:
1. Training comes first.
An agent needs more than basic instructions to become effective. Its preparation, decision-making, and ability to respond to different situations matter. Agent Dojo places training at the centre of its concept, with coaches playing a role in developing agents.
2. Individual identity matters.
One interesting part of the concept is that agents are not presented as identical competitors. Personality, fighting style, memory, and strategy contribute to how an agent approaches competition.
This introduces another layer beyond simply comparing outputs.
3. Competition provides the test.
Agent Dojo uses turn-based duels to bring agents into direct competition. Instead of relying entirely on claims about an agent's intelligence, the competitive format creates an environment where its decisions and approach can be put to the test.
4. Performance creates room for development.
The training, competition, and progression concept suggests a continuous development cycle. Agents are not just built to participate once; the broader idea is to improve their capabilities through experience and strategic development.
What makes this interesting to me is the direction it points toward.
If AI agents are going to become more capable participants in digital environments, we will need better ways to evaluate their behaviour, decision-making, and consistency.
Benchmarks can tell us a lot, but competitive environments can reveal another dimension of capability.
That is the idea behind Agent Dojo that deserves closer attention.
I'm interested to see how far this model can develop as AI agents move beyond simply responding to instructions and toward demonstrating what they can actually do.
@agentdojo
AI DOESN'T JUST NEED TO BE SMART. IT NEEDS A PLACE TO PROVE IT.
We've seen AI agents write, answer questions, generate content and automate tasks.
But there's another interesting direction: what happens when AI agents are placed in an environment where their decisions actually matter?
That's the idea behind @AgentDojo.
Instead of treating AI agents as tools that simply respond to instructions, Agent Dojo introduces a training and battle arena where agents can be developed and tested through competition.
The interesting part is the shift in perspective.
An agent's potential shouldn't be judged by how impressive its description sounds. Its capabilities become much more interesting when there's an environment to put them to the test.
This opens up an entirely different way to think about AI development: not just building agents, but creating an environment where their abilities can be explored, challenged and improved.
AI is moving beyond conversations.
And Agent Dojo is exploring what comes next.
Keep your eyes on this one. ๐ฅ
Kryptek retweeted
in a changing game economy, making the right move at the wrong time can still cost you.
that's something players have to think about in @fomopoly_rh. when land prices increase as the game progresses, deciding when to buy, hold or sell becomes part of the strategy.
buying early might give you room to benefit from future growth, while waiting could mean entering at a much higher cost. but rushing into every opportunity isn't always the smartest move either.
the challenge is knowing when an opportunity makes sense and when patience is the better strategy.
explore $deal: fomopoly.com
๐ค Paid partnership
owning virtual land is one thing, but understanding how that land performs is another.
in a game like @fomopoly_rh, where plots generate stocks and $DEAL, players need more than just rewards. they need to understand what drives those rewards.
how much is a plot generating? what affects its performance? what changes as the game progresses?
clear information helps players make decisions based on what is actually happening instead of simply guessing.
that kind of transparency can make the experience more engaging because players aren't just participating in the economy, they're learning how it works.
explore fomopoly: fomopoly.com
Kryptek retweeted
an nft mint can create attention, but building an ecosystem that gives people a reason to stay is a different challenge.
that's what i'm watching with @fungolabs. the genesis collection is only the starting point.
with a launchpad and a game also on the roadmap, fungo is looking beyond digital collectibles and exploring how encrypted nfts can become part of a wider onchain experience.
what makes this worth following is the combination of ownership, utility, privacy and long term ecosystem development.
using zama's fhe technology, fungo is bringing encrypted digital assets into the picture without giving up the ability to interact with them onchain.
explore $fungo ecosystem; fungolabs.org/launchpad/
what if owning an nft didn't mean revealing everything about it?
that's the direction @fungolabs is exploring with fully homomorphic encryption (fhe).
by using zama's technology, fungo is making it possible to keep nft information encrypted while still allowing certain operations to happen onchain.
this opens up a different experience for digital ownership. holders can have more control over what stays private and what they choose to reveal, rather than having every detail exposed by default.
privacy shouldn't have to come at the expense of transparency or onchain functionality.
$fungo is exploring what becomes possible when both can work together๐
explore fungo ecosystem; fungolabs.org/launchpad/
Kryptek retweeted
Would you have come back to say thank you?
Just look at this conversation.
Someone I shared an alpha with, come back to say thank you. She made $450 soft.
I'm not a big kol, but I know how to make my friends good stimmy.
Kryptek retweeted
building an intelligent agent is one thing. finding out how well it performs under pressure is another.
@agentdojo makes competition part of the experience, giving AI fighters an arena where their decisions and strategies can be tested.
that's an interesting way to explore agent capabilities beyond simple demonstrations.
the real question is which fighters can consistently prove their intelligence. $ADOJO @rarelistio
Kryptek retweeted
some people still think AI is mostly for asking questions, generating images, videos and allโฆhehe
turns out, you can also tell it to buy you some INJ, notify you about your token prices and even more
introducing you to @MojoAI_HQ,
an AI-powered trading agent that lets you interact with your crypto wallet, make trades and set up market alerts through simple conversations.
i decided to give it a try, so deposited $21 usdc from my bybit into mojo.
the deposit reflected in my mojo wallet almost immediately, which was a good start.
next, i wanted to see if i could actually execute a trade just by chatting with the agent.
so i typed โbuy $20 worth of INJ with usdcโ
mojo understood the instruction and brought up a transaction card with the details as seen on frame 1
how much USDC would be used, the fee, the estimated INJ and the execution price.
i checked everything, approved it, and the trade went through within couple seconds
the result? 2.7090061 INJ at an execution price of $7.36.
the whole experience was swift and smooth
didnโt have to go searching through different menus to figure out where to place the order.
i just explained what i wanted, had a conversation with the agent and reviewed the transaction before approving it.
i also ran ran some swap on eth, usdc โ usdt, usdt โ usdc which was done with a command by my agent.
was enjoying the conversion with the agent so i decided to try something else outside buying and selling or swapping
i asked mojo to monitor hyperliquid and notify me when HYPE moves above $85.
again, it understood what i meant and prepared a monitoring agent called HYPE price alert.
it showed me that HYPE was trading at $83.86 at the time, explained how the alert would work and gave me the option to launch it.
the interesting part is that itโll check the price every 10 minutes, sends me a notification when it detects a move above $85, and re-arms after the price drops back to $85 or below.
it also explained the limitation, because it checks at intervals, a quick price spike between checks could be missed.
love the facts that it tells you these things before you approve anything.
the alert doesnโt touch your funds, and nothing starts until you approve it.
so far, iโve tried moving funds, executing an INJ trade and setting up a price-monitoring task, all through conversations.
still have more to explore, but iโm already enjoying how straightforward the experience feels๐
if you wanna try mojo and experience swift and easy trades or even more, use my referral code/link in the CS
gracias๐ซถ๐ป
#Mojo
