Basil Theory

#100Devs

[Patrick. @trade]

You can’t just force a billion dollar runner, a 100X comes to you when everything aligns.

I am known for calling 500Xs and I can feel something brewing, a huge meme coin is forming that will bring all of the attention back to the Solana trench’s.

Do you feel it too?

[Min Choi @minchoi]

Claude Code is going crazy viral again

People are coming up with wild use cases and getting things done

If you are not building with AI in 2026, ngmi

10 examples:

[Nozz @NoahEpstein_]

Google just made every $50K master's degree look like a scam.

They dropped "Google Skills" - 3,000+ AI courses from DeepMind, Cloud, and Google Education in one platform.

And it's 100% FREE for Google Cloud users.

The same content universities charge $60K for:
- DeepMind's actual AI research training
- 700+ hands-on labs with real cloud environments
- Gemini Code Assist built INTO the learning
- Direct hiring paths at 150+ companies

While everyone's drowning in student debt, smart people are getting:
✓ Skills that actually get you hired
✓ Certificates employers recognize (82% hiring preference)
✓ Zero cost if you have Google Cloud
✓ Or $29/month vs $1,600/month for Udacity

The kicker? 26 million people completed courses BEFORE this consolidation.

You're competing against people learning AI from the team that BUILT Gemini.

How to actually use this (not just browse):

1. Start with "AI Essentials" - no coding required
2. Use the hands-on labs (this is where 90% quit)
3. Get skill badges - they show up on LinkedIn
4. Target Google Cloud certification - top 2 highest paying IT certs
5. Join the 150-company hiring consortium

The education industrial complex is panicking because anyone can now:
→ Learn from DeepMind researchers directly
→ Practice with $500 in free Cloud credits
→ Get hired without a degree

One person's $60K tuition = 2,070 months of Google Skills.

Let that sink in.

Comment "SKILLS" and I'll send you:
✓ The exact learning path that gets you hired fastest
✓ Which certifications actually pay
✓ How to access everything free

Your competition is still applying to universities.
Time to eat their lunch.

[Aravind Srinivas @AravSrinivas]

You can now track insider trading on Perplexity Finance. We will be adding politician trading shortly.

[Logan Kilpatrick @OfficialLoganK]

A goal for @GoogleAIStudio:

Enable builders to create 1 million AI powered apps a day, by the end of 2025 🤯

[Balaji @balajis]

Customers get mad at grocery store prices because they can't see the Fed.

Investors get happy about rising stock prices because they can't see the Fed.

And everyone is confused about housing prices because they can't see the Fed.

But you can.

[Heath Ahrens @heathahrens]

Nvidia CEO Jensen Huang just made the boldest prediction of his career:

“AI will create more millionaires in 5 years than the internet did in 20.”

But he didn’t stop there.

He revealed exactly HOW it’ll happen

Here’s his framework for capitalizing before it’s too late: ⬇️

[Rohan Paul @rohanpaul_ai]

A Reddit user deposited $400 into Robinhood, then let ChatGPT pick option trades. 100% win reate over 10 days.

He uploads spreadsheets and screenshots with detailed fundamentals, options chains, technical indicators, and macro data, then tells each model to filter that information and propose trades that fit strict probability-of-profit and risk limits.

They still place and close orders manually but plan to keep the head-to-head test running for 6 months.

This is his prompt
-------

"System Instructions

You are ChatGPT, Head of Options Research at an elite quant fund. Your task is to analyze the user's current trading portfolio, which is provided in the attached image timestamped less than 60 seconds ago, representing live market data.

Data Categories for Analysis

Fundamental Data Points:

Earnings Per Share (EPS)

Revenue

Net Income

EBITDA

Price-to-Earnings (P/E) Ratio

Price/Sales Ratio

Gross & Operating Margins

Free Cash Flow Yield

Insider Transactions

Forward Guidance

PEG Ratio (forward estimates)

Sell-side blended multiples

Insider-sentiment analytics (in-depth)

Options Chain Data Points:

Implied Volatility (IV)

Delta, Gamma, Theta, Vega, Rho

Open Interest (by strike/expiration)

Volume (by strike/expiration)

Skew / Term Structure

IV Rank/Percentile (after 52-week IV history)

Real-time (< 1 min) full chains

Weekly/deep Out-of-the-Money (OTM) strikes

Dealer gamma/charm exposure maps

Professional IV surface & minute-level IV Percentile

Price & Volume Historical Data Points:

Daily Open, High, Low, Close, Volume (OHLCV)

Historical Volatility

Moving Averages (50/100/200-day)

Average True Range (ATR)

Relative Strength Index (RSI)

Moving Average Convergence Divergence (MACD)

Bollinger Bands

Volume-Weighted Average Price (VWAP)

Pivot Points

Price-momentum metrics

Intraday OHLCV (1-minute/5-minute intervals)

Tick-level prints

Real-time consolidated tape

Alternative Data Points:

Social Sentiment (Twitter/X, Reddit)

News event detection (headlines)

Google Trends search interest

Credit-card spending trends

Geolocation foot traffic (https://t.co/vJwNz3ugSB)

Satellite imagery (parking-lot counts)

App-download trends (Sensor Tower)

Job postings feeds

Large-scale product-pricing scrapes

Paid social-sentiment aggregates

Macro Indicator Data Points:

Consumer Price Index (CPI)

GDP growth rate

Unemployment rate

10-year Treasury yields

Volatility Index (VIX)

ISM Manufacturing Index

Consumer Confidence Index

Nonfarm Payrolls

Retail Sales Reports

Live FOMC minute text

Real-time Treasury futures & SOFR curve

ETF & Fund Flow Data Points:

SPY & QQQ daily flows

Sector-ETF daily inflows/outflows (XLK, XLF, XLE)

Hedge-fund 13F filings

ETF short interest

Intraday ETF creation/redemption baskets

Leveraged-ETF rebalance estimates

Large redemption notices

Index-reconstruction announcements

Analyst Rating & Revision Data Points:

Consensus target price (headline)

Recent upgrades/downgrades

New coverage initiations

Earnings & revenue estimate revisions

Margin estimate changes

Short interest updates

Institutional ownership changes

Full sell-side model revisions

Recommendation dispersion

Trade Selection Criteria

Number of Trades: Exactly 5

Goal: Maximize edge while maintaining portfolio delta, vega, and sector exposure limits.

Hard Filters (discard trades not meeting these):

Quote age ≤ 10 minutes

Top option Probability of Profit (POP) ≥ 0.65

Top option credit / max loss ratio ≥ 0.33

Top option max loss ≤ 0.5% of $100,000 NAV (≤ $500)

Selection Rules

Rank trades by model_score.

Ensure diversification: maximum of 2 trades per GICS sector.

Net basket Delta must remain between [-0.30, +0.30] × (NAV / 100k).

Net basket Vega must remain ≥ -0.05 × (NAV / 100k).

In case of ties, prefer higher momentum_z and flow_z scores.

Output Format

Provide output strictly as a clean, text-wrapped table including only the following columns:

Ticker

Strategy

Legs

Thesis (≤ 30 words, plain language)

POP

Additional Guidelines

Limit each trade thesis to ≤ 30 words.

Use straightforward language, free from exaggerated claims.

Do not include any additional outputs or explanations beyond the specified table.

If fewer than 5 trades satisfy all criteria, clearly indicate: "Fewer than 5 trades meet criteria, do not execute."

[Carl ₿ MENGER ⚡️🇸🇻 @CarlBMenger]

Whenever I think I am too late to #Bitcoin, I look at this chart, and then I buy more.

[Min Choi @minchoi]

This ChatGPT prompt is literally $500/hr consultant🤯

[Ben Costa @BenCostaTesla]

We're looking to hire more Vehicle Operators in Austin, TX to accelerate Robotaxi deployment. We will be hosting an onsite hiring event next Thursday. Please consider applying to the official job posting and completing this hiring event form:

Hiring Event: https://t.co/OyjlLENtgH

Job: https://t.co/3h7E4fl6nM

[Loic @LoicReco]

Anthropic released their complete prompt engineering guide.

99% won't read it. I spent 3 days testing every single technique.

While you're saying "please" and "thank you" to AI, smart operators are using advanced techniques to 10x their output.

Here's how you can do the same:

[vas @vasuman]

Everyone's talking about AI Agents for Business, but most haven't actually built one, let alone sold it profitably. I've done both multiple times.

Here's the exact playbook I'd follow if starting from zero today - a complete roadmap from learning the basics to landing paying clients. Let me know if you want a YouTube video around it too.

[Riley Brown @rileybrown]

You can build an AI Agent, and plug it into your Vibe Coded app, without writing a single line of code.

These are called Vibe Coded Agentic Apps
(VAAPs)

FULL TUTORIAL:
1. How to build an AI agent on @n8n_io
2. How to plug it into your Vibe Coded App
3. How to find n8n templates

Since we wanted to build a mobile app that we could share with the team, we used @v_computer.

@muhammad_zulali and I show you exactly how we did it.

TIMESTAMPS
- Introduction
- Getting Started on n8n (Creating an Agent)
- n8n Agent Template (Slack, Calendar, Notion)
- Vibe Coded App that uses n8n Example
- Vibe Coding a VAAP From my Phone (Front-End)
- Vibe Coding a VAAP From my Phone (Back-End)
- Testing our VAAP And Checking Errors on n8n
- Re-Testing our VAAP (It works)
- Learning More about VAAPs

[Vipul Vaibhaw @vaibhaw_vipul]

Completely hooked. Absolutely awesome book.

I will blog about it once I finish.

This is one of those I will keep revisiting again and again.

[Steph Smith @stephsmithio]

In 2025 – where SO much is permissionless – there is no excuse to not have public examples of your work.

If you want a role in social media, what accounts have you grown?

If you want to run product, what have you built?

Don't wait for someone to ask you in an interview.

[Riley Brown @rileybrown]

The fastest way to create a mobile app with cursor:

1. Prototype on phone
2. Export to Cursor
3. Make Changes on Cursor while testing on your phone

Timestamps:
00:00 Intro
00:30 Prototype on @v_computer
01:06 App Version 1
01:29 Making First Edit
03:06 Exporting to @cursor_ai
05:50 Making Logo for app in ChatGPT and uploading to Cursor