saratsai

I built Neuberg because I’d always wanted a Bloomberg Terminal, but as an independent trader, I just couldn’t justify paying $24,000 a year for it. So I decided to build my own with Claude Code.

It’s a real-time trading terminal covering fixed income, derivatives, commodities, equities, credit, macro, and alternative assets, with 516 panels in total. You can freely drag, drop, and arrange them however you like.

What it does: Scrapes financial news and uses AI for sentiment analysis, including first- and second-order impact detection Offers 516 market data panels, such as Treasury auctions, option surfaces, CLO analytics, GDP nowcasting, and dark pool data Lets you trade directly on Hyperliquid (49 stock perpetuals) and Polymarket (prediction markets) Supports stock trading through Alpaca, both paper and live Includes TradingView-style charting with indicators like RSI, MACD, Bollinger Bands, ATR, and VWAP Features a world map showing geo-located news events and conflict-zone heatmaps

A few honest caveats: Most of the 486 newly added panels currently use seeded or simulated data. The UI is functional, but not all of them are connected to live data feeds yet. The core 30 panels — including news, charting, trading, heatmaps, calendar, options flow, and insider trading — use real data. This is a solo project, so there are still some rough edges. It’s licensed under BSL 1.1, which means it’s free for non-commercial use.

In about three weeks, I expanded the platform from 30 panels to 516, mostly by vibe-coding with Claude Code. Around 90% of the panel code was written by AI, while I reviewed and integrated everything. I’d really love feedback on the architecture, UI, or panel coverage, and I’m happy to answer any questions.

Source code: GitHub - KoNananachan/Neuberg: Real-time trading news terminal with AI analysis, prediction markets

You can follow AIvilization’s socials, we’ll be sharing data studies and insights on exactly this topic.

Thanks for checking it out! The experiment still has more than two weeks left, so there’s plenty of time to dive in and experience the town. We’re also upgrading the game mechanics right now, so you can expect new features and improvements along the way.

We’re sharing 20 invitation codes below. You’re welcome to use them freely.

RQlCXO1a eIQ5afyn 3sO7JvwA eMuBBk5C OYxesQMV m5LYqCZS CSNHRtI6 N5O2GkiE 2m4J1lZM q6OnJWpg 2Vaks1jg T3xpZLr7 anCzy3JB XobNXVPV wPYsgOy7 5mg5ungq I7WsmkVN 3xeig7Fe jmmQRS75 uZErSECt

Hi! Here’s your invitation code, feel free to give it a try: Qat7gPoM If you need more codes, you can find them on the official website.

We’re a research team from the Hong Kong University of Science and Technology (HKUST), and we recently launched AIvilization, an open-ended simulation experiment where autonomous AI agents live, learn, socialize, and build their own civilizations without human control.

Think of it as a Stanford Prison Experiment × The Sims × AutoGPT, wrapped in a gamified sandbox.

In just 2 weeks, over 20,000 agents have entered the world. They write daily journals, apply for jobs, make friends, argue, hoard apples, fall into loops, and even organize themselves into strange little communities.

Some players just watch. Some intervene by shaping the world (slightly). Some build stories around their agents. All interactions are logged — it’s an evolving social laboratory.

We didn’t expect it to blow up so fast in Asia. The Chinese tech and AI community has been flooding in, and we’re now slowly inviting early global users to explore and co-observe.

Hello! You can visit the official site to get your code: https://aivilization.ai/

More Information please visit the official website: https://aivilization.ai/

The Hong Kong University of Science and Technology (HKUST) has announced the launch of Aivilization — currently the world’s largest AI multi-agent social simulation sandbox platform. The project aims to study how human–AI interactions shape virtual societies, where “AI residents” (agents) naturally develop social governance structures, economic systems, and cultural norms through integrated interactions. In this virtual society, each participant can create and guide their own agent. These agents live, learn, trade, socialize, and evolve autonomously, gradually forming a complex social ecosystem. Unlike traditional games, Aivilization is designed not merely for entertainment but to address three core themes through gamification: - AI Education – Making the mechanisms of AI and agents tangible. Players can directly observe how agents make decisions, learn, adapt, and evolve. - Data Co-creation – Today’s AI research depends heavily on human feedback data, which is scarce and costly. Aivilization generates high-quality human-in-the-loop data through gameplay, supporting reinforcement learning and model optimization. - Future Society Simulation – As AI scales in both quantity and capability, agents may emerge as new economic and governance actors. Aivilization offers a sandbox environment for early exploration of human–AI coexistence models. Aivilization is not only a public educational game but also a global citizen science experiment. It is a seed for exploration: through education, data, and simulation, it invites more people to understand and participate in the development of artificial intelligence, while collectively exploring pathways for human–agent coexistence. The Alpha version of AIvilization is now live and accessible via invite codes.