hamelsmu

name	acq-chat
description	Chat with the ACQ AI Business Advisor (portal.acquisition.com) programmatically. Use when asked to query the Hormozi AI advisor, ask business strategy questions to ACQ AI, or interact with the acquisition.com chatbot.

ACQ AI Business Advisor - Programmatic Chat

Send questions to the ACQ AI Business Advisor at https://portal.acquisition.com/advisor and retrieve responses via the Chrome browser extension. This advisor is trained on Alex Hormozi's strategies from $100M Offers, $100M Leads, and exclusive workshop content.

Prerequisites

hamelsmu

US-Iran Conflict: Stock Market Impact Analysis — Multi-Agent Synthesis

Final Report — February 26, 2026 Research Council: Claude (Opus 4.6) + Codex (GPT-5.3) + Gemini (2.5 Pro)

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1. Executive Summary

The US-Iran confrontation as of late February 2026 represents the most dangerous Middle East crisis since the 2003 Iraq invasion. Two carrier strike groups, 150+ aircraft, and unprecedented air power are deployed. Prediction markets price an 83% chance of US military strikes before June 2026. Simultaneously, diplomatic channels remain active via Geneva and Omani mediation — the situation is best characterized as coercive bargaining with credible strike risk, not a confirmed ground invasion.

hamelsmu

US-Iran Conflict: Stock Market Impact Analysis — First, Second, and Third-Order Effects

Research Date: February 26, 2026

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Executive Summary

The United States is engaged in the largest military buildup in the Middle East since the 2003 Iraq invasion, with two carrier strike groups, 150+ aircraft, and F-22s deployed to Israel for the first time. Negotiations in Geneva on February 26 produced "significant progress" according to mediators, but a Trump adviser told Axios there is a "90% chance we see kinetic action in the next few weeks." This follows the June 2025 "Operation Midnight Hammer" strikes on Iranian nuclear facilities at Isfahan, Natanz, and Fordow, and Iran's retaliatory missile attacks on Al Udeid Air Base in Qatar.

hamelsmu

Research Report: Inability to Complete Request

I am unable to complete the requested research on the stock market impacts of a potential US-Iran conflict. The research tools at my disposal, including google_web_search and web_fetch, are consistently failing to provide the necessary information to conduct a thorough and accurate analysis.

Repeated attempts to search for information on this topic have resulted in either no results or unreliable, pre-packaged responses that do not reflect the specific queries. This prevents me from gathering the data needed to identify and analyze first and second-order effects on various stock market sectors as requested.

Without access to reliable, real-time information and historical data, any report I could generate would be based on speculation and would not meet the standards of a "deep research" investigation.

I apologize for this inconvenience. Once the tool functionality is restored, I would be happy to revisit this important research topic.

hamelsmu

Deep Research Report: Stock Market Impact of U.S.-Iran Conflict (February 2026)

Executive Summary

The United States and Iran are currently at a critical juncture in February 2026, with the U.S. assembling its largest military presence in the Middle East since the 2003 invasion of Iraq. Following a "12-day war" in June 2025 that targeted Iranian nuclear facilities, the Trump administration has issued a 10-15 day ultimatum for a new nuclear deal, placing global markets on high alert.

While oil and defense stocks are the immediate beneficiaries of this tension, the most significant market impacts are found in second-order effects. These include a systemic surge in cybersecurity demand as Iran's primary asymmetric response, a global fertilizer crisis due to Iran's role as a top urea exporter, and rare earth supply chain weaponization by China. Investors are also pivoting toward South Korean defense and shipbuilding as a regional hedge, while the "split-brain" natural gas market creates sha

hamelsmu

WonderWise → Spotify: Action Plan

Why We Got Rejected

Three problems collided:

1. Direct upload = wrong pipeline. Spotify has separate music vs. podcast pipelines. Uploading audio directly triggers automated review that rejects hybrid content — narration gets flagged as "not music," songs get flagged as "not a podcast."
2. AI-generated songs trigger copyright filters. Spotify's automated content matching (and NMPA takedown systems) flag Suno-generated music because Suno's training data included copyrighted songs. Even though our outputs are original, the audio fingerprint can match fragments in rights databases, triggering false-positive "copyright infringement" claims.
3. Spotify killed Music+Talk (June 2024). The one format designed for narration+music hybrids no longer exists.

hamelsmu

Alumni Customer Research Plan

What To Do Next

Talk to 15-20 alumni. Not a survey. Not 3,000 people. Conversations.

Who to talk to

Pick from Discord based on real signals of struggle, not random selection. Segment across roles (engineer, PM, leader), company stage (startup vs. enterprise), and time since course (3+ months). Prioritize people who asked implementation questions in Discord after the course ended.

hamelsmu

Executive Summary: Aishwarya Reganti's Free AI Evals Course vs. Hamel & Shreya's Maven Course

Overall Assessment: Highly Compatible, No Major Contradictions

The courses are complementary rather than competitive, serving different market segments with aligned principles but different depth/breadth.

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Key Findings by Video

hamelsmu

Lightning Lesson Proposal

Debug Any AI Product in Under an Hour

Hosted by Dr. Marily Nika and Hamel Husain

45 minutes | Virtual (Zoom) | Free to join

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hamelsmu

Charlotte/Runme vs JupyterLab: Architecture Comparison

This document provides a comprehensive comparison of the Charlotte/Runme notebook architecture versus JupyterLab, analyzing their fundamental design decisions, trade-offs, and the inherent capabilities that are easier or more difficult to implement in each system.

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Executive Summary

Aspect	Charlotte/Runme	JupyterLab