Mahareta

Music is my escape 🎧
Always looking for the next adventure

[Mahareta @vinniewa_]

My @dac_chain Inception Wrapped 🚀

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[ChainGPT Pad @ChainGPT_Pad]

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[ACI @ACIToken]

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[ARK @arkv3official]

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[NASA History Office @NASAhistory]

Congratulations to the newly announced crew for Artemis III! We are thrilled  that these four distinguished astronauts will be “carrying the fire” for our next mission toward establishing a long-term human presence on the surface of the Moon.

[Mahareta @vinniewa_]

@JDVance this is exactly what's needed, someone in the DOH actually taking these allegations seriously, it's avout time something gets done

[Mahareta @vinniewa_]

still trying to remember my dirst attempt at building an ai trading bot, ended up crashing the entire server

[wincy.eth @gusik4ever]

the fastest growing GitHub repos in finance this week:

1. TradingAgents (+3,822 ★)

multi-agent LLM trading framework built for financial research and execution. combines analyst agents, sentiment models, portfolio reasoning, and provider integrations into a single trading stack.

2. AI-Trader (+2,434 ★)

fully automated agent-native trading system. built around autonomous decision-making, price fetching, execution, and monitoring workflows. focused on end-to-end AI-driven trading infrastructure.

3. scientific-agent-skills (+2,286 ★)

plug-and-play agent skills for finance, research, science, engineering, and writing. integrates with multiple agent frameworks and supports web research, bioinformatics, cheminformatics, and analysis pipelines.

4. daily_stock_analysis (+1,272 ★)

LLM-powered stock analysis platform covering US, Hong Kong, and Chinese equities. combines market data, real-time news, AI dashboards, automated reporting, and multi-channel notifications with near-zero operating cost.

5. QuantDinger (+1,242 ★)

AI quantitative trading platform for crypto, stocks, and forex. includes live trading, strategy backtesting, market analytics, and broker integrations. built for traders experimenting with AI-assisted quant workflows.

6. Vibe-Trading (+1,148 ★)

personal AI trading agent focused on algorithmic trading and backtesting. combines lightweight automation with agent-style portfolio management and strategy experimentation.

7. FinceptTerminal (+878 ★)

modern open-source finance terminal inspired by Bloomberg-style workflows. provides market analytics, investment research, trading tools, and AI-powered financial infrastructure in one interface.

8. TradingAgents-CN (+739 ★)

Chinese-enhanced version of TradingAgents. adapts the multi-agent LLM trading framework for Chinese financial markets, datasets, and workflows. rapidly growing among Chinese quant and AI communities.

9. last30days-skill (+694 ★)

AI agent skill for researching trends across Reddit, X, YouTube, Hacker News, Polymarket, and the broader web. designed for signal discovery, narrative tracking, and internet-wide monitoring.

10. qlib (+680 ★)

Microsoft’s AI-oriented quant investment platform. covers the entire quant pipeline from data collection to alpha generation, portfolio construction, and execution. still one of the strongest open-source quant ecosystems available.

bookmark this and start today.

[Mahareta @vinniewa_]

@WhiteHouse that voter I.D. requirement is a masterclass in straightforward, unapologetic governance - it's bold, it's necessary and it's a direct line to the heart of what needs to be fixed in this country

[Mahareta @vinniewa_]

His commitment to reusing the same SpaceX rocket 300+ times is truly a testament to his genius and a game-cjanger for space exploration

[Elon Musk @elonmusk]

Exactly

[banana0x @banan_crypto]

I managed to find the hidden acс HondaCivic2 which has a $25,248 PnL

Trader "HondaCivic" has not 1 but 3 @Polymarket accs

When I was writing my latest tweet, I couldn't find "HondaCivic2", his 2nd acc

Because he had RENAMED it

But using @PredictParity, I managed to find it

You can see that acc on the attached video

There's an exact match with "HondaCiviv2":

> Trades only weather markets
> The same markets in the trading history
> Almost identical PnL

Now his 2nd acc has a $25K PnL. 73.3% Win Rate. $1.5M Volume

I dropped the link to this acc in the comments

Pls excuse me HondaCivic

[Mahareta @vinniewa_]

@beamnxw claudes opus is a better model hands down

[Mahareta @vinniewa_]

Step into a new world where beauty and decentralized finance work together to create endless opportunities for everyone involved
#EssentialLux #Web3Beauty #ELX

[Mahareta @vinniewa_]

@shmidtqq That's a good take

[Mahareta @vinniewa_]

This is definitely an interesting perspective on things. Worth sharing!

[Blaze @browomo]

This Chinese developer built a team of 7 GPT agents in a terminal in 4 minutes and fired the entire support department.

He was sitting in a regular terminal and in those 4 minutes assembled a working support system on GPT-5.5 out of 7 agents, each with its own role and its own area of responsibility.

This is not one big assistant chatbot, it is 7 separate agents distributed exactly the way a live department would do it: each one reads its part of the ticket and passes it to the next.

He launched the system on a flow of customer requests and left the cost on screen: 3 million tokens a day, $48 a month on the OpenAI API, 1 person on minimum wage handles about 1,200 tickets a day, that is more than a call center of 8 operators.

Meaning 1 person now carries the volume that used to be held by 8 operators plus CRM, training, vacations, and turnover.

Which looks unusual to say the least.

But if you look closely at how the pipeline is actually laid out, it becomes clear why it works:

> Ticket classifier by topic and urgency
> Technical analyst that reads the knowledge base
> Billing agent with access to payment data
> Sentiment agent that tracks the tone of the customer
> Escalator that decides whether a live person is needed
> Summarizer that compiles a report on the conversation
> Orchestrator that hands out tasks to the other 6

Meaning this is not one big GPT responsible for everything, it is 7 narrow roles through 1 shared API gateway, and the orchestrator distributes requests between them the same way a senior shift operator would.

The part that should hold your attention is that on screen it is clearly shown how a department costing $25,000 to $40,000 a month collapses into $50 and 1 person in a single evening.

Meaning a working template for collapsing customer support just appeared in the open, and the video pulled 4 million views in 72 hours, while most of the discussion is about the assembly technique, not about what was actually shown.

[Mahareta @vinniewa_]

@Sprytixl Great point!

[Mahareta @vinniewa_]

@InduTripat82427 That's a good take

[Mahareta @vinniewa_]

@TheAIWorld22 claudes tool list is impressive especially stability ai

[Mahareta @vinniewa_]

is the babys cry any louser when we ignore it?

[ENG. Fadi -🇵🇸 @FadiQGaza]

Will you ignore🍼🍼

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we’ll remind you
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20$
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that
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I need
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20$
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I desperately need milk for my baby.
#bb26
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[Mahareta @vinniewa_]

This is definitely an interesting perspective on things. Worth sharing!

[Rohit @ai_rohitt]

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[Rebate.Fun @Rebatefun]

Hello World.

https://t.co/wu8f2clNZz is now live on @BNBCHAIN — turning every transaction into real value through cashback, rebates, and rewards across trading and Web3 activities.

Cashback everything we can.