图书馆借书狂魔

鍐锋殩鑷煡

[图书馆借书狂魔 @vergo4]

@0x_rody the mental math you do in a store is unmatched free training, that much is true

[图书馆借书狂魔 @vergo4]

@GSADPHS 应该是标准座高，我个子不高，双脚差不多能沾到地就已经挺满意了。

[图书馆借书狂魔 @vergo4]

@lady_pooh_2013 补个验车点：架起来看过车身焊缝和护杠受力的地方没有变形，再骑一小圈急刹反应最诚实

[图书馆借书狂魔 @vergo4]

@sneeze52 挡风高度差一点体感差很多，高速上脖子最受累，这点值得细说。

[图书馆借书狂魔 @vergo4]

@aqwlord 车尾收得紧在市区钻车缝时优势明显，不会蹭到后视镜。

[图书馆借书狂魔 @vergo4]

@SAHC89 坐垫软硬度怎么样？长途通勤腰会不会累？

[QumulusAI @QumulusAI]

NVIDIA B300 clusters arrive Q1 2027.

288 GB HBM3e per GPU. NVLink 5 up to 1.8 TB/s. Blackwell Ultra.

Plan your capacity roadmap now with QumulusAI → Talk to us

[winkle. @w1nklerr]

Most people use Claude Opus 5.5 like a chatbot.

The top 1% run it like a hedge fund desk.

10 repos that turn it into a full quant team:

Skills

1. /financial-services - DCF, comps and earnings. By Anthropic.

https://t.co/3ASqpVtFaf

2. /claude-trading-skills - 70+ skills: breadth, macro regime, market tops.

https://t.co/SpvENm6Pw2

3. /finance-skills - options payoff, correlations, X reader.

https://t.co/4NregboAli

Agents

4. TradingAgents - analysts, bull vs bear, trader, risk manager.

https://t.co/VibzYwRfJz

5. ai-hedge-fund - investor agents debate your ticker, then backtest.

https://t.co/FeupggnRFv

6. dexter - autonomous research agent that checks its own work.

https://t.co/7opyi7N3SP

Data + execution

7. /openbb-mcp-server - equity, macro and news data via MCP.

https://t.co/KKORgg8BgD

8. /alpaca-mcp-server - stocks, crypto and options in plain English.

https://t.co/6ug9FaZrxQ

9. yfinance - free prices and fundamentals. No API key.

https://t.co/Sea792saf8

10. lightweight-charts - TradingView charts, open source.

https://t.co/La9GOOfOir

The workflow: data feeds in → skills analyze → agents argue → you decide.

Check each repo before installing. Pick what your strategy needs and start building.

[图书馆借书狂魔 @vergo4]

@A_Pirate_I midnight market line was out the half-block, respect to the owner

[unicode @unicodef1wn]

holy sh*t, SpaceXAI wrote 31 guides on how its own teams run on Grok Bots

agent courses charge $200-500 for setups like these. these are free

written by the people who run them, sorted in the tree by job:

support → thousands of tickets a day, routines that run after the laptop closes
marketing → 6 bots research competitors, draft positioning, open PRs on the site
legal ops → counsel 1:1 prep, Slack triage, contract workflows
sdr → research packets first, a human still hits send
gtm → a chief of staff bot, account prompts, live slides
engineering → a bot with its own computer that manages coding agents

what you can copy today:

8 templates → install a bot someone already built
marketplace → pick a teammate and import it
pstack → skills for engineering work

start with your job's branch, 6 jobs have two guides each

save this, then read my article on building a Grok Bot business that makes real money ↓