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I’ve been working on a custom agent on the $ZODs platform designed to identify high-probability setups using a specific and detailed set of criteria that I’ve been continuously refining. The project is still really undervalued and Iteration 2 just went live to the public. There’s a lot of potential...

17,998 görüntüleme • 1 yıl önce •via X (Twitter)

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Aiden Chong profil fotoğrafı
Aiden Chong1 yıl önce

When I grow up I wanna be like Emahd!!! SO PRO!!! Thanks for showing us your wins here, may the force of $ZODs be with you! Win more please haha

Lab4crypto profil fotoğrafı
Lab4crypto1 yıl önce

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al_payda profil fotoğrafı
al_payda1 yıl önce

can't argue with results...gud tek #ZODs $ZODS

小可爱 profil fotoğrafı
小可爱1 yıl önce

GOAT $ZODS

TonyBet profil fotoğrafı
TonyBet1 yıl önce

Engineer is shipping

ching profil fotoğrafı
ching1 yıl önce

@sol_engineer Engineer is the goat 🐐

Based1812 profil fotoğrafı
Based18121 yıl önce

Thats extremely bullish! $ZODs seems cracked and a loophole to make money I guess 🤣

calli air profil fotoğrafı
calli air1 yıl önce

Emahd spittin fax. $ZODS is a gem 💎🤖

Lelio profil fotoğrafı
Lelio1 yıl önce

@sol_engineer Looks 🔥🔥🔥 🧠 $zods

Ana Calisto 🧩 profil fotoğrafı
Ana Calisto 🧩1 yıl önce

Bullish on $ZODS

ĦΔLLØЩ€Đ🟥🟩 profil fotoğrafı
ĦΔLLØЩ€Đ🟥🟩1 yıl önce

You should implement some AI driven DCA bot and Grid bot strategies. AI could maximize yields with using these.

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All in a a few days of spare time. Custom alt momentum scanner tracking various metrics, tagging setups, break of key levels, collecting statistics in real-time. Sector flow monitor and correlation matrix. This is a hobby project which started off as building a custom funding rate arbitrage scanner to test out some new perps dex platforms. Took it a step further so I can exercise the process of creating tooling, improving on the art of providing specs and a framework to Claude, writing out to a database, tracking metrics etc. in real time. Going to continue to improve this for my own purpose but this has been the gateway to opening up the pathway of an entire world of ideas that I have been wanting to bring to life. If there is enough interest I will write an article and share my findings on the "vibe coding" process I used via Claude and what I learned through the exercise. I will say this still required a non-trivial amount of hand holding (you need to understand the problem you're looking to solve and what's going on under the hood otherwise garbage in = garbage out), providing the right framework, reassessing and debugging. The only experience I have is intermediate level python scripting in the framework of structural engineering. Much to learn still. I need to figure out how to implement unique design, improve UI/UX and figure out how to implement a more robust frontend (if you have any suggestions please feel free to comment). I have been using Claude for a year for simple tasks and scripting but this is the first time I took the time to explore further. Will document this journey as I continue to build or work on other hobby ideas. Perhaps it can inspire someone else who finds this intimidating to take the leap. Next stop - perhaps a prediction markets dashboard/tooling that ties in with Converge.

Stoic

12,206 görüntüleme • 7 ay önce

Playing pro basketball has always been a dream of mine ever since I was a little kid. Being able to travel the world and get paid to play the past 5 years has truly been a remarkable experience. To get the opportunity to live in 7 countries, be immersed in different cultures, meet new people, and play basketball at a high level are memories I will always cherish. Since being back in the States in May, I have had a lot of time to reflect on what the next step is for me and my family. I got my Real Estate License in the summer with the intentions of just doing it in the off seasons, and then get into it full time when I was done playing. But when our daughter Rinnie was born in September, my mindset began to change. Having a family and being a father has always been a dream of mine too. And now that she is here, I look at life a lot differently. It has been amazing to be around family and friends and raise our daughter in our own home right here in our hometown in Illinois. On top of that, I have really been enjoying being a Real Estate Agent and adjusting to the new challenges that come along with it. I still love basketball, but I always knew there would come a time when I’d have to hang it up, and this feels like it for me. Being a father and a husband is the most important thing to me and that will always come first. Knowing that this is the best decision for us really gives me peace in walking away from a game that has been so good to me over my life. Thank you to basketball for giving me the life I had dreamed about since a child. Now, on to the next chapter of my life 👶🏼🏠🌾🇺🇸

Michael Finke

33,284 görüntüleme • 1 yıl önce

The same kinds of productivity gains we've seen in coding with AI agents are heading to the rest of knowledge work. This is the jump when you go from having a chatbot to being able to actually have an agent go off and do work for minutes or even hours and come back with a complete work output that you then review. Here's an example of the new Box Agent filling out an RFP response from an existing knowledge base. This process would normally take hours to fill out, and requires the full attention of the user doing the work. Now, you provide the Box Agent with the RFP questions, and it will go off, make a plan, extract all the relevant questions, read through existing source material to come up with an answer, and then generate a new word document as the final output. All while you're doing something else. The key to this architecture is that the agent is able to use all of the same tools in the background that a user uses to get work done. The agent can search for documents, read entire files, run scripts and tools in the background, and even be able to write code on the fly to automate tasks it hasn't seen before. And best of all, the Box Agent will (soon) work from the Box MCP and CLI so you can invoke it in any agentic system as a step in a process. This kind of agent complexity would have been impossible even 6 months ago. Models consistently failed at tracking long running tasks or using the right tools at the right moment for the task. But this is all now possible because of models like GPT-5.4, Opus 4.6, and Gemini 3, and is only getting better by the month. Just as we moved from engineers writing code and using AI as an assistant to answer questions, in many areas of knowledge work -like legal, finance, consulting, sales, marketing, and more- when we have a problem we'll just kick off the AI agent to just go work on it for us in the background.

Aaron Levie

24,728 görüntüleme • 5 ay önce