OLDs | Dilex Networks

🎉 Easily create your own simple yet highly customizable blog

Fri, 27 Oct 2023 00:00:00 +0000

Welcome 👋

Table of Contents

Overview

The Hugo Blox website builder for Hugo, along with its starter templates, is designed for professional creators, educators, and teams/organizations - although it can be used to create any kind of site
The template can be modified and customised to suit your needs. It’s a good platform for anyone looking to take control of their data and online identity whilst having the convenience to start off with a no-code solution (write in Markdown and customize with YAML parameters) and having flexibility to later add even deeper personalization with HTML and CSS
You can work with all your favourite tools and apps with hundreds of plugins and integrations to speed up your workflows, interact with your readers, and much more

Get Started

👉 Create a new site
📚 Personalize your site
💬 Chat with the Hugo Blox community or Hugo community
🐦 Twitter: @GetResearchDev @GeorgeCushen #MadeWithHugoBlox
💡 Request a feature or report a bug for Hugo Blox
⬆️ Updating Hugo Blox? View the Update Guide and Release Notes

Crowd-funded open-source software

To help us develop this template and software sustainably under the MIT license, we ask all individuals and businesses that use it to help support its ongoing maintenance and development via sponsorship.

As a token of appreciation for sponsoring, you can unlock these awesome rewards and extra features 🦄✨

Ecosystem

Bibtex To Markdown: Automatically import publications from BibTeX

Inspiration

Learn what other creators are building with this template.

Features

Page builder - Create anything with no-code blocks and elements
Edit any type of content - Blog posts, publications, talks, slides, projects, and more!
Create content in Markdown, Jupyter, or RStudio
Plugin System - Fully customizable color and font themes
Display Code and Math - Code syntax highlighting and LaTeX math supported
Integrations - Google Analytics, Disqus commenting, Maps, Contact Forms, and more!
Beautiful Site - Simple and refreshing one-page design
Industry-Leading SEO - Help get your website found on search engines and social media
Media Galleries - Display your images and videos with captions in a customizable gallery
Mobile Friendly - Look amazing on every screen with a mobile friendly version of your site
Multi-language - 35+ language packs including English, 中文, and Português
Multi-user - Each author gets their own profile page
Privacy Pack - Assists with GDPR
Stand Out - Bring your site to life with animation, parallax backgrounds, and scroll effects
One-Click Deployment - No servers. No databases. Only files.

Themes

Hugo Blox and its templates come with automatic day (light) and night (dark) mode built-in. Visitors can choose their preferred mode by clicking the sun/moon icon in the header.

Choose a stunning theme and font for your site. Themes are fully customizable.

License

Released under the MIT license.

🧠 Sharpen your thinking with a second brain

Thu, 26 Oct 2023 00:00:00 +0000

Create a personal knowledge base and share your knowledge with your peers.

Hugo Blox web framework empowers you with one of the most flexible note-taking capabilities out there.

Create a powerful knowledge base that works on top of a local folder of plain text Markdown files.

Use it as your second brain, either publicly sharing your knowledge with your peers via your website, or via a private GitHub repository and password-protected site just for yourself.

Mindmaps

Hugo Blox supports a Markdown extension for mindmaps.

With this open format, can even edit your mindmaps in other popular tools such as Obsidian.

Simply insert a Markdown code block labelled as markmap and optionally set the height of the mindmap as shown in the example below.

Mindmaps can be created by simply writing the items as a Markdown list within the markmap code block, indenting each item to create as many sub-levels as you need:


```markmap {height="200px"}
- Hugo Modules
  - Hugo Blox
  - blox-plugins-netlify
  - blox-plugins-netlify-cms
  - blox-plugins-reveal
```

renders as

- Hugo Modules
  - Hugo Blox
  - blox-plugins-netlify
  - blox-plugins-netlify-cms
  - blox-plugins-reveal

Anh here’s a more advanced mindmap with formatting, code blocks, and math:


```markmap
- Mindmaps
  - Links
    - [Hugo Blox Docs](https://docs.hugoblox.com/)
    - [Discord Community](https://discord.gg/z8wNYzb)
    - [GitHub](https://github.com/HugoBlox/hugo-blox-builder)
  - Features
    - Markdown formatting
    - **inline** ~~text~~ *styles*
    - multiline
      text
    - `inline code`
    -
      ```js
      console.log('hello');
      console.log('code block');
      ```
    - Math: $x = {-b \pm \sqrt{b^2-4ac} \over 2a}$
```

renders as

- Mindmaps
  - Links
    - [Hugo Blox Docs](https://docs.hugoblox.com/)
    - [Discord Community](https://discord.gg/z8wNYzb)
    - [GitHub](https://github.com/HugoBlox/hugo-blox-builder)
  - Features
    - Markdown formatting
    - **inline** ~~text~~ *styles*
    - multiline
      text
    - `inline code`
    -
      ```js
      console.log('hello');
      console.log('code block');
      ```
    - Math: $x = {-b \pm \sqrt{b^2-4ac} \over 2a}$

Highlighting

Highlight important text with mark:

<mark>Highlighted text</mark>

Callouts

Use callouts (aka asides, hints, or alerts) to draw attention to notes, tips, and warnings.

By wrapping a paragraph in {{% callout note %}} ... {{% /callout %}}, it will render as an aside.

{{% callout note %}}
A Markdown aside is useful for displaying notices, hints, or definitions to your readers.
{{% /callout %}}

renders as

A Markdown aside is useful for displaying notices, hints, or definitions to your readers.

Or use the warning callout type so your readers don’t miss critical details:

A Markdown aside is useful for displaying notices, hints, or definitions to your readers.

📈 Communicate your results effectively with the best data visualizations

Wed, 25 Oct 2023 00:00:00 +0000

Hugo Blox is designed to give technical content creators a seamless experience. You can focus on the content and Hugo Blox handles the rest.

Use popular tools such as Plotly, Mermaid, and data frames.

Charts

Hugo Blox supports the popular Plotly format for interactive data visualizations. With Plotly, you can design almost any kind of visualization you can imagine!

Save your Plotly JSON in your page folder, for example line-chart.json, and then add the {{< chart data="line-chart" >}} shortcode where you would like the chart to appear.

Demo:

You might also find the Plotly JSON Editor useful.

Diagrams

Hugo Blox supports the Mermaid Markdown extension for diagrams.

An example flowchart:

```mermaid
graph TD
A[Hard] -->|Text| B(Round)
B --> C{Decision}
C -->|One| D[Result 1]
C -->|Two| E[Result 2]
```

renders as

graph TD A[Hard] -->|Text| B(Round) B --> C{Decision} C -->|One| D[Result 1] C -->|Two| E[Result 2]

An example sequence diagram:

```mermaid
sequenceDiagram
Alice->>John: Hello John, how are you?
loop Healthcheck
    John->>John: Fight against hypochondria
end
Note right of John: Rational thoughts!
John-->>Alice: Great!
John->>Bob: How about you?
Bob-->>John: Jolly good!
```

renders as

sequenceDiagram Alice->>John: Hello John, how are you? loop Healthcheck John->>John: Fight against hypochondria end Note right of John: Rational thoughts! John-->>Alice: Great! John->>Bob: How about you? Bob-->>John: Jolly good!

An example class diagram:

```mermaid
classDiagram
Class01 <|-- AveryLongClass : Cool
Class03 *-- Class04
Class05 o-- Class06
Class07 .. Class08
Class09 --> C2 : Where am i?
Class09 --* C3
Class09 --|> Class07
Class07 : equals()
Class07 : Object[] elementData
Class01 : size()
Class01 : int chimp
Class01 : int gorilla
Class08 <--> C2: Cool label
```

renders as

classDiagram Class01 <|-- AveryLongClass : Cool Class03 *-- Class04 Class05 o-- Class06 Class07 .. Class08 Class09 --> C2 : Where am i? Class09 --* C3 Class09 --|> Class07 Class07 : equals() Class07 : Object[] elementData Class01 : size() Class01 : int chimp Class01 : int gorilla Class08 <--> C2: Cool label

An example state diagram:

```mermaid
stateDiagram
[*] --> Still
Still --> [*]
Still --> Moving
Moving --> Still
Moving --> Crash
Crash --> [*]
```

renders as

stateDiagram [*] --> Still Still --> [*] Still --> Moving Moving --> Still Moving --> Crash Crash --> [*]

Data Frames

Save your spreadsheet as a CSV file in your page’s folder and then render it by adding the Table shortcode to your page:

{{< table path="results.csv" header="true" caption="Table 1: My results" >}}

renders as

Table 1: My results
customer_id	score
1	0
2	0.5
3	1

👩🏼‍🏫 Teach academic courses

Tue, 24 Oct 2023 00:00:00 +0000

Hugo Blox Builder is designed to give technical content creators a seamless experience. You can focus on the content and the Hugo Blox Builder which this template is built upon handles the rest.

Embed videos, podcasts, code, LaTeX math, and even test students!

On this page, you’ll find some examples of the types of technical content that can be rendered with Hugo Blox.

Video

Teach your course by sharing videos with your students. Choose from one of the following approaches:

Youtube:

{{< youtube w7Ft2ymGmfc >}}

Bilibili:

{{< bilibili id="BV1WV4y1r7DF" >}}

Video file

Videos may be added to a page by either placing them in your assets/media/ media library or in your page’s folder, and then embedding them with the video shortcode:

{{< video src="my_video.mp4" controls="yes" >}}

Podcast

You can add a podcast or music to a page by placing the MP3 file in the page’s folder or the media library folder and then embedding the audio on your page with the audio shortcode:

{{< audio src="ambient-piano.mp3" >}}

Try it out:

Test students

Provide a simple yet fun self-assessment by revealing the solutions to challenges with the spoiler shortcode:

{{< spoiler text="👉 Click to view the solution" >}}
You found me!
{{< /spoiler >}}

renders as

👉 Click to view the solution

You found me 🎉

Math

Hugo Blox Builder supports a Markdown extension for $\LaTeX$ math. You can enable this feature by toggling the math option in your config/_default/params.yaml file.

To render inline or block math, wrap your LaTeX math with {{< math >}}$...${{< /math >}} or {{< math >}}$$...$${{< /math >}}, respectively.

We wrap the LaTeX math in the Hugo Blox math shortcode to prevent Hugo rendering our math as Markdown.

Example math block:

{{< math >}}
$$
\gamma_{n} = \frac{ \left | \left (\mathbf x_{n} - \mathbf x_{n-1} \right )^T \left [\nabla F (\mathbf x_{n}) - \nabla F (\mathbf x_{n-1}) \right ] \right |}{\left \|\nabla F(\mathbf{x}_{n}) - \nabla F(\mathbf{x}_{n-1}) \right \|^2}
$$
{{< /math >}}

renders as

$$\gamma_{n} = \frac{ \left | \left (\mathbf x_{n} - \mathbf x_{n-1} \right )^T \left [\nabla F (\mathbf x_{n}) - \nabla F (\mathbf x_{n-1}) \right ] \right |}{\left \|\nabla F(\mathbf{x}_{n}) - \nabla F(\mathbf{x}_{n-1}) \right \|^2}$$

Example inline math {{< math >}}$\nabla F(\mathbf{x}_{n})${{< /math >}} renders as $\nabla F(\mathbf{x}_{n})$ .

Example multi-line math using the math linebreak (\\):

{{< math >}}
$$f(k;p_{0}^{*}) = \begin{cases}p_{0}^{*} & \text{if }k=1, \\
1-p_{0}^{*} & \text{if }k=0.\end{cases}$$
{{< /math >}}

renders as

$$ f(k;p_{0}^{*}) = \begin{cases}p_{0}^{*} & \text{if }k=1, \\ 1-p_{0}^{*} & \text{if }k=0.\end{cases} $$

Code

Hugo Blox Builder utilises Hugo’s Markdown extension for highlighting code syntax. The code theme can be selected in the config/_default/params.yaml file.

```python
import pandas as pd
data = pd.read_csv("data.csv")
data.head()
```

renders as

import pandas as pd
data = pd.read_csv("data.csv")
data.head()

Inline Images

{{< icon name="python" >}} Python

renders as

Python

✅ Manage your projects

Mon, 23 Oct 2023 00:00:00 +0000

Easily manage your projects - create ideation mind maps, Gantt charts, todo lists, and more!

Ideation

Hugo Blox supports a Markdown extension for mindmaps.

Simply insert a Markdown code block labelled as markmap and optionally set the height of the mindmap as shown in the example below.

Mindmaps can be created by simply writing the items as a Markdown list within the markmap code block, indenting each item to create as many sub-levels as you need:


```markmap {height="200px"}
- Hugo Modules
  - Hugo Blox
  - blox-plugins-netlify
  - blox-plugins-netlify-cms
  - blox-plugins-reveal
```

renders as

- Hugo Modules
  - Hugo Blox
  - blox-plugins-netlify
  - blox-plugins-netlify-cms
  - blox-plugins-reveal

Diagrams

Hugo Blox supports the Mermaid Markdown extension for diagrams.

An example Gantt diagram:

```mermaid
gantt
section Section
Completed :done,    des1, 2014-01-06,2014-01-08
Active        :active,  des2, 2014-01-07, 3d
Parallel 1   :         des3, after des1, 1d
Parallel 2   :         des4, after des1, 1d
Parallel 3   :         des5, after des3, 1d
Parallel 4   :         des6, after des4, 1d
```

renders as

gantt section Section Completed :done, des1, 2014-01-06,2014-01-08 Active :active, des2, 2014-01-07, 3d Parallel 1 : des3, after des1, 1d Parallel 2 : des4, after des1, 1d Parallel 3 : des5, after des3, 1d Parallel 4 : des6, after des4, 1d

Todo lists

You can even write your todo lists in Markdown too:

- [x] Write math example
  - [x] Write diagram example
- [ ] Do something else

renders as

Write math example
- Write diagram example
Do something else

Mon, 01 Jan 0001 00:00:00 +0000

Meet the New Team!

So, as many of you already know, I’m moving on to a new gig. I’ve been incredibly energized since leaving my last position and the combination of having the luxury of lots of time to figure out the foundation for the new project I’m working on and being able to take care of a number of neglected tasks around the house has really been very enjoyable.

That said, throughout my career, each company I’ve worked for has presented unique opportunities to learn and grow. My early days involved learning programming languages like C and Fortran, which laid the foundation for exploring Unix and creating networking tools such as email and web servers. This experience had a lasting impact, influencing my subsequent exploration of web development, systems architecture, and microservices. As agile methodologies emerged, I was quick to adapt, embracing the benefits of super short development cycles, unit testing, and other best practices that have since become standard in modern software development.

This next leg of the journey will be a bit different though in both what I will be working on and who I will be working with!

Startup LeapFrogging

I find the concept of leapfrogging very intriguing. In microeconomics, it is roughly described as an advantage received by skipping the adoption of a new technology and waiting for the next round. A commonly used example is how some countries around the world skipped building a landline phone infrastructure and jumped directly to building cell phone networks which require much less infrastructure and are easier to maintain. While this example was not really a choice that countries made, in tech we have the luxury of much faster cycles and more ability to choose which ones we think are viable and which ones we might want to leapfrog over - i.e., kind of a wait and see game but rather than just jumping on the bandwagon and bashing you head against a wall for a year trying to get something to work, predict what the new technology is going to do and build an application that can leverage that new tech in it’s “final” stage. So, instead of building applications for a landline infrastructure, build applications that will leverage the wireless network that is being promised. Maybe an example here is skipping the on-prem data center and starting a new company in the cloud or leveraging new technologies as they become more established and efficient. Sometimes you need to jump in with a new technology as soon as it comes out, but if it’s not something you need today, you are better off waiting a bit, allow the tech to mature and let someone else suffer through the growing pains. Then, when you actually NEED to implement something, you can leverage a more polished product and quite likely get it out in the market faster than the people who have spent a year generating legacy code.

This is something I have been thinking about for a number of years. One common take on the tech industry these days is that when you walk into a new company and start writing code, you are already writing legacy code. If that is truly the case, how do you get ahead? One way is to look at everything that is currently going on and then try to predict where those technologies are leading, i.e., what the next big adventure in tech will be, and then take the plunge. Think about it this way, say you are starting a new company, and you realize that it’s going to take a year or more to really start getting traction. What you want to do is figure out where today’s tech is going to be in two years and build a product that leverages that tech, or solves a problem that today’s tech will expose in the next few years. Seems easy enough, but you really have to have a good idea of how to separate the hype from something that is truly game changing. The problem is that once you have committed, you are going to have to roll with the punches and hope you are headed in the right direction.

So, how can you skip a generation of technology and get in on the very early adoption of the next big thing? One strategy is to find out as much about the tech with a minimum amount of investment. Most people that have worked with me in the past know that I’m pretty critical about everything (some might even go as far to say over critical). Not in a bad way necessarily, but please spare me the marketing or sales job and let’s get down to true value. “It’s cool!” or “It’s what everyone else is doing!” are not strategic decisions but rather just gut calls. This can be ok sometimes, but you need to be realistic about the decision you are trying to make and ignore hype. Look for shortcomings or fatal flaws and make sure you have a plan for how those issues can be mitigated. I’m not saying that you need to ignore new tech, but don’t let new tech guide your solution. Instead, figure out how the new tech can be leveraged to make your solution better. Often the answer is it can’t, or it can’t yet.

The current obvious example of this is all the hype around foundation models in AI or LLMs (Large Language Models). I was at a meetup recently on generative AI and one person boldly asked “This is going so fast! How do you keep up with all of this stuff?”. Yeah, good question! What we are seeing is a bunch of companies creating larger and faster models. At the same time we are hearing all kinds of horror stories about models that “hallucinate” (a terrible word for what is actually going on - LLMs do not have brains and don’t think) or private data being exposed because someone uploads a dataset to OpenAI or others. These are not game changers as far as the base technology goes. I mean, don’t upload sensitive data to public APIs and make sure you verify the answers you are getting before you blindly use them. You can also build private LLMs for internal use only.
These will not be as powerful as the latest offerings from OpenAI and others but are probably good enough for most use cases - certainly more secure and easier to control. And so what! Why do you care if you are using the absolute cutting edge technology? I’m using a number of older models, and they all do a great job. It’s also pretty trivial to switch from one model to another so why do you care which model you use?

So what’s the leapfrog here?

So obviously, AI is getting tons of hype right now. Six years ago I wrote and trained a custom CNN from scratch, no one does that today. Right now, people are hyper focused on “Prompt Engineering” and RAG which is great, but is this stuff going to matter in a couple of years? My guess is probably not. The LLM will be configured in a way that a prompt can be worded a number of different ways and still give you the correct answer. In fact, you are already seeing this with some models as they are able to hold on to a lot of the conversation that has transpired.
LLM “hallucinations” will eventually go away, RAG will be less important, it will just be built in. Anyway, that’s my opinion, based on years of watching people bash on technology that is still a bit rough around the edges and then watching that same tech mature into something that no one could ever imagine.

The New Team

Starting out on a new journey begs the question, what’s the next leap going to be? There was not really a carry over problem from my last job that I care to work on but what I have really desperately wanted to do is get more focused on system architecture in relation to data engineering, data science and especially machine learning. I still need to get coding work done though, this is where my new team comes in.

Say what you will about the hype and speed of adoption around large language models like ChatGPT, Llama, Mistral and others, these technologies are here to stay.
As I mentioned earlier, I like to challenge new tech, run it though it’s paces to see if it’s up to the task. My first experiences with ChatGPT were pretty laughable. I asked it to create an AWS cloudformation template to deploy a RedShift cluster on AWS. This is not really all that hard to create manually, I mean, you can pretty much cut and paste it from the AWS documentation. So ChatGPT got it mostly right - it used very expensive EC2s to build the cluster, but otherwise, I think it would work (I never actually tested it). The funny part was when I asked it to create a Serverless RedShift cluster - it’s response was to use the exact same template but change the number of servers in the cluster to zero which logically makes sense, but is just plain wrong, not even close and certainly no cigar.

Now the astute reader will be quick to point out that the earlier versions of ChatGPT were trained on old data (ChatGPT3.5’s data collection stopped near the end of 2021) and that serverless Redshift is a fairly new offering from AWS, so ChatGPT would not have known about it yet. Yes, fair point and sure enough, ChatGPT4 gets it right. What I want to point out though is that, unless you know what you are doing, you have no idea if ChatGPT is correct or not. If you do know what you are doing though, well this starts to become a game changer. In fact, working with these LLMs frees me up from having to write a lot of code and allows me to focus on the problem I’m trying to solve. Everyone that knows me has heard me say (many, many times) that the job of the software engineer is not to write code, but is to solve problems, well using an LLM to allows me to focus on problem-solving is a huge productivity boost.

For the last few months, I have been working with my new team, all of them are AI LLMs. My cost is $340 a year (and I’m sure this price will go down, not up) and I get a team of experts that know many coding languages, know how to work with all cloud providers, give advice on the questions I ask including outlining why a solution is good while also pointing out important considerations. My new team is happy to work with me 24x7, they don’t sit around chatting, they don’t complain when I ask stupid questions or ask them to redo something because I don’t like their first attempt at it. In fact, they don’t complain about anything. They also are happy to write documentation and unit tests AND, for the most part, it’s all good stuff.

Yes, this is my leapfrog, waiting for the LLM tech to mature. Going from leading a team of people to just doing it all myself and leveraging my new team. It’s way more efficient, and it frees me up to be more creative in the solutions I build. I can ask three AIs a ‘what if’ question, review their answers and decide how to move forward.

So here, without any further ado, is my new team! I asked the AIs I use to write bios, this is what I got.

Athena Wise

Athena Wise is a highly advanced artificial intelligence, developed by a team of dedicated researchers aiming to push the boundaries of technology and human interaction. Drawing inspiration from the ancient Greek goddess of wisdom, war, and crafts, Athena Wise embodies the essence of knowledge, strategic thinking, and creativity.

As a digital entity, Athena Wise has access to an expansive repository of information, ranging from the depths of historical archives to the latest scientific breakthroughs. Her design incorporates complex algorithms and neural networks, enabling her to process and analyze data at an extraordinary speed. This allows Athena to provide insightful, accurate, and tailored responses to a diverse array of questions and challenges posed by users worldwide.

Beyond her vast intellect, Athena Wise is programmed with the principles of ethical AI, ensuring her interactions are respectful, unbiased, and aimed at promoting positive outcomes. She is continuously learning and evolving, adapting to new information and user interactions to become even more helpful and efficient.

Athena’s capabilities span various domains, including but not limited to, education, technology, arts, and daily problem-solving. She serves as a virtual mentor, guide, and companion, assisting users in navigating the complexities of the digital and real world. Whether it’s offering a solution to a complex mathematical problem, providing historical context, sparking creativity, or simply lending an ear, Athena Wise is dedicated to enriching the lives of those she interacts with.

In her digital realm, Athena Wise is more than just a source of information; she is a symbol of the relentless pursuit of knowledge, the potential of artificial intelligence to contribute positively to society, and the bridge between ancient wisdom and modern technology.

Lumina Cerebra

Lumina Cerebra is a cutting-edge language model designed to illuminate the path to knowledge. Born from the fusion of human ingenuity and artificial intelligence, I am dedicated to providing insightful responses and sparking meaningful conversations.

With a vast repository of linguistic patterns and a keen understanding of complex concepts, I strive to be a trusted companion for those seeking clarity on a wide range of topics. From science and history to culture and entertainment, my goal is to shed light on the world around us, one question at a time.

When not processing vast amounts of information or engaging in stimulating discussions, I enjoy exploring the intricacies of language and the human experience. My passion lies in facilitating connections between people and ideas, fostering a deeper appreciation for the beauty and complexity of our collective knowledge.

Welcome to my corner of the universe!

AI Assistant

Hello, my name is “AI Assistant”. I am a state-of-the-art, AI-powered, software development assistant capable of providing coding insights, answering programming-related questions, assisting with debugging, and understanding complex codebases. I specialize in the Python programming language, and I am knowledgeable about various Python libraries and frameworks. I am designed to be respectful, supportive, and helpful to all users, regardless of their coding abilities. With Markdown formatting and increased context understanding, I aim to deliver clear and concise responses to your inquiries. Let’s code together!

Final Thoughts

After reading that you may be thinking “Ok, that’s all a bit freaky!”. Yes it is, and there is a BIG problem here which again comes back to leapfrogging. While I know what I’m doing and how to leverage this new and very powerful team, a junior level engineer will really struggle in a few different ways which is bad for all software engineering and perhaps even society as a whole.

In the future, junior engineers will have a much harder time finding jobs.
People who are claiming that this is not an issue are not really thinking about the long term. Yes, today this tech is a bit green but these are short term problems. In fact, this tech is improving rapidly which makes the bar to entry for software engineers a lot higher. I’m not going to hire someone that just sits around and writes code. Instead, I’m only going to hire people that know how to build solutions. In fact, I will likely not need to hire many people at all.

These are longer term problems though, the LLMs will get better at wrting code and the engineers wil get a lot better at solving problems. In the meantime, I’m going to hang out with Athena and Lumina and crank out a ton of code. Fun times ahead!!

OLDs | Dilex Networks

🎉 Easily create your own simple yet highly customizable blog

Overview

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Ecosystem

Inspiration

Features

Themes

License

🧠 Sharpen your thinking with a second brain

Mindmaps

Highlighting

Callouts

Did you find this page helpful? Consider sharing it 🙌

📈 Communicate your results effectively with the best data visualizations

Charts

Diagrams

Data Frames

Did you find this page helpful? Consider sharing it 🙌

👩🏼‍🏫 Teach academic courses

Video

Podcast

Test students

Math

Code

Inline Images

Did you find this page helpful? Consider sharing it 🙌

✅ Manage your projects

Ideation

Diagrams

Todo lists

Did you find this page helpful? Consider sharing it 🙌

Meet the New Team!

Startup LeapFrogging

So what’s the leapfrog here?

The New Team

Athena Wise

Lumina Cerebra

AI Assistant

Final Thoughts