Table of Contents
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VC Fund Database for Early-Stage Startups
- Tracks VC funds at/below $200M in size, providing insights into which VCs have capital to invest. Updated by Shai Goldman.
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Investors, Accelerators, and Resources for Underrepresented Founders
- A comprehensive list aimed at supporting entrepreneurs from underrepresented groups.
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The VC List of VC Lists - OpenVC
- A compilation of 53 databases for VC firms, covering global, regional, and themed lists.
- 👨💻 programmer (cursor ai/replit/claude 3.5)
- 🎨 designer (v0/playground/galileo ai)
- ✍️ copywriter (jenni ai/copy ai/anyword)
- 📋 product manager (productboard/aha!/airfocus)
- 🧲 lead magnet machine (gamma ai/mailerlite/systeme io)
- 🎥 faceless video producer (revid/pictory/vidyo ai)
Apps used: Cursor.so / github copilot chat / Amazon Q / codeium
graph TB subgraph Host["Host Application Layer"] App["iOS/macOS App (SwiftUI)"]:::host end
subgraph Core["CrashKit Core"]
CrashHandler["Crash Handler"]:::core
Sanitizer["Sanitizer"]:::core
FileManager["File Manager"]:::core
end
Companies employ several strategies to minimize or avoid paying taxes on their profits. Here are some of the most common methods:
One of the primary strategies used by multinational corporations is shifting profits to low-tax jurisdictions or tax havens. This is often done through:
Transfer Pricing: Companies manipulate the prices of goods and services traded between their subsidiaries to shift profits to low-tax countries. For example, a subsidiary in a high-tax country might pay inflated prices for goods or services from a subsidiary in a low-tax country, reducing taxable profits in the high-tax jurisdiction[1][2].
Intellectual Property Location: Companies strategically locate management of intellectual property (IP) in low-tax countries. They then charge high royalties to subsidiaries in high-tax countries for using this IP, effectively shifting profits[3].
Kanban hell:
Tasks <-> QA <-> Finished.
takes for ever, back and forth FML.
Zen dev rig:
Interesting problems to solve <-> PR w/ CI-UITests + CI-Unit tests
Automation takes care of QA. Green light == ✅.
AI-generated comments on LinkedIn often exhibit certain characteristics that make them recognizable. Here are some common traits observed in these comments:
Many AI comments start with compliments that feel overly generic or formulaic, such as "Great post!" or "This is very insightful!" These phrases lack personal touch and specificity, making them seem insincere.
AI comments frequently summarize the original post without adding new insights or perspectives. They often restate the main points rather than engaging with the content in a meaningful way.
AI-generated comments tend to be longer and more structured than typical human responses. They may include multiple sentences that follow a predictable pattern, which can come off as robotic.
AI-generated comments on LinkedIn often exhibit certain characteristics that make them recognizable. Here are some common traits observed in these comments:
Many AI comments start with compliments that feel overly generic or formulaic, such as "Great post!" or "This is very insightful!" These phrases lack personal touch and specificity, making them seem insincere.
AI comments frequently summarize the original post without adding new insights or perspectives. They often restate the main points rather than engaging with the content in a meaningful way.
AI-generated comments tend to be longer and more structured than typical human responses. They may include multiple sentences that follow a predictable pattern, which can come off as robotic.