The hottest Tools Substack posts right now

And their main takeaways
Category
Top Technology Topics
Jacob’s Tech Tavern 656 implied HN points 07 Jan 25
  1. The Time Profiler is an essential tool for improving iOS app performance. It helps find and fix slow parts of your code.
  2. It can identify specific issues like animation delays or overheating in your app. This makes it easier to solve performance problems.
  3. Learning how to use the Time Profiler effectively can lead to faster, smoother apps that users will enjoy more.
Bite code! 978 implied HN points 02 Jan 25
  1. Shiv allows you to bundle your Python project into a single executable zip file, which includes all your code and its dependencies. This makes it easy to run your program on any compatible server without needing to install anything else.
  2. Creating a zipapp with shiv involves a few steps, including setting up a virtual environment and running specific commands to package your project. It’s important to understand the process to avoid common pitfalls.
  3. Using shiv can simplify deployment, especially for web services or applications with many dependencies. However, it does require Python to be installed on the target machine and might not work well with certain compiled extensions.
Bite code! 1957 implied HN points 15 Dec 24
  1. Using 'uv run' lets you run commands in a temporary environment without cluttering your main setup. This makes it easy to use big tools like Jupyter without installing them every time.
  2. The 'uvx' command works like 'npx', letting you test and run Python utilities quickly. It handles dependencies nicely, so you can focus on your tasks without worrying about setup.
  3. Creating scripts with 'uv init' helps you get started fast. It sets up everything you need, including project files and dependencies, making it easier to organize your Python projects.
Artificial Corner 158 implied HN points 23 Oct 24
  1. Jupyter Notebook is a popular tool for data science that combines live code with visualizations and text. It helps users organize their projects in a single place.
  2. Jupyter Notebook can be improved with extensions, which can add features like code autocompletion and easier cell movement. These tools make coding more efficient and user-friendly.
  3. To install these extensions, you can use specific commands in the command prompt. Once installed, you'll find new options that can help increase your productivity.
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Bite code! 1957 implied HN points 25 Oct 24
  1. Python 3.13 introduces improvements in debugging tools like PDB, making it easier to work with errors and set breakpoints. This is a big win for developers who rely on debugging in their workflow.
  2. The shutil module has seen many bug fixes and enhancements, which means working with files and directories will be more reliable. Developers can finally use it without constant worries about it failing.
  3. There are small but useful updates for concurrency in Python, such as changes to asyncio and task management. These little updates add up to make handling multiple tasks easier and more efficient.
Construction Physics 21087 implied HN points 19 Feb 24
  1. The author's writing process involves mainly two types of posts: explanation-driven and exploratory. They often write to understand complex topics themselves and then share their findings.
  2. Extensive research is a crucial part of the author's writing process. They gather information from a variety of sources like books, dissertations, and online resources.
  3. The author follows a structured approach starting from research, reading, and thinking, then moves on to compressing and structuring content, before finally drafting, editing, and posting their work.
The Beautiful Mess 542 implied HN points 21 Nov 24
  1. Make tools fit your needs by trying them out and getting feedback. This way, you can avoid forcing your team into a system that doesn't help anyone.
  2. Involve all kinds of team members in decisions about tools. If you only ask certain roles, you might miss out on important ideas and needs from others.
  3. Start simple before automating. Test simple methods first to see what works, then build on those ideas rather than jumping straight into complicated solutions.
Bite code! 856 implied HN points 29 Oct 24
  1. Python 3.13 has been released, bringing many new features like better error messages and a new JIT compiler. It's exciting, but users are advised to hold off on upgrading until next year.
  2. Template strings (or t-strings) are introduced, offering a cleaner way to create formatted strings that can be used in various situations. This could help prevent mistakes when handling string formatting for tasks like translation or logging.
  3. New proposals like external wheel hosting and dependency groups in pyproject.toml make it easier to manage packages and their dependencies, especially for larger libraries.
Am I Stronger Yet? 172 implied HN points 16 Dec 24
  1. AI tools have amazing strengths but can also be really weak in some areas. This makes their effectiveness uneven, depending on what task you're trying to do.
  2. People often aren't using AI tools to their full potential. Many are not even trying them out, which means they miss out on big opportunities.
  3. To get the most from AI, you need to be creative and put effort into how you use it. A great prompt can lead to big breakthroughs, while a simple request might not yield good results.
Rethinking Software 549 implied HN points 18 Nov 24
  1. Outsourcing might seem like a money-saver, but it can make teamwork harder and slow down projects. It's important to consider all the hidden costs before deciding.
  2. Using low-quality tools can frustrate programmers and hurt their morale, which ultimately harms productivity. Giving developers good tools shows that you value their work.
  3. Keeping everyone busy all the time doesn't always mean being productive. It's better to let teams focus on clearing bottlenecks and maintaining a good workflow instead.
The American Peasant 2235 implied HN points 11 Feb 24
  1. Kale's story highlights the importance of having the right tools in woodworking that will last a lifetime without needing upgrades.
  2. Investing in high-quality, durable tools from the start can save time and money in the long run.
  3. Choosing tools based on functionality and quality over aesthetics or price can lead to better long-term satisfaction and efficiency in woodworking.
Frankly Speaking 305 implied HN points 23 Oct 24
  1. A good security product isn't about having a lot of features. It's more important that it provides real value and helps people work efficiently.
  2. Security tools should help fill gaps in a team's capabilities rather than just adding more complexity. Sometimes a 'good enough' solution is better than a perfect one.
  3. The focus should shift from just ranking products to understanding what really helps customers. A good product makes life easier and solves the right problems.
Load-bearing Tomato 2 implied HN points 24 Jan 25
  1. To compile Unreal Engine 5 from source, you need the right version of Visual Studio. The recommended version is 17.6.
  2. Make sure to select specific options in the Visual Studio installer for proper setup. This will help you avoid issues during the compilation.
  3. If you run into problems, it’s likely because the official documentation isn't detailed enough about setups like yours. Following these steps can simplify the process.
Ralph Ammer 1022 implied HN points 13 Jun 23
  1. Selecting the right drawing tool depends on what you like and want to do with it.
  2. Hitting the limitations of a tool can push creativity towards unconventional ideas.
  3. The perfect drawing tool doesn't have to be complex, just master a simple tool and make it a part of yourself.
lcamtuf’s thing 2652 implied HN points 09 Mar 23
  1. Designing your own PCB allows for faster iteration on new designs compared to ordering custom circuit boards.
  2. KiCad is a recommended tool for designing hobby PCBs due to its extensive library of footprints and open-source nature.
  3. Consider important factors like component placement, trace widths, and manufacturing constraints for successful PCB layout.
Substack 765 implied HN points 16 Feb 24
  1. Substack is making efforts to ease the lives of writers by introducing a Writer Success team, chatbot, and tools to support them.
  2. The new Writer Success team is focused on technical support, educational resources, and supporting the writer community for a better experience.
  3. Substack's chatbot taps into years of knowledge to provide writers instant help, addressing common issues and connecting them with support.
Jacob’s Tech Tavern 656 implied HN points 26 Feb 24
  1. The blog post compares the Twitter and X iOS app binaries, revealing insights like extra app icons and heavy use of dynamic libraries.
  2. Emerge Tools offers valuable solutions for mobile engineers to monitor their app's size and performance.
  3. The author recommends subscribing to Jacob's Tech Tavern for more insightful posts and to show support for the work.
The Fintech Blueprint 334 implied HN points 30 Jan 24
  1. AI is revolutionizing financial analysis through earnings call summarizations by tools like Bloomberg, AlphaSense, TiredBanker, and Aviso.
  2. AI helps in quickly isolating key points from earnings calls and deriving insights that improve financial decision-making.
  3. AI-driven tools have the potential to mitigate human error in analyzing financial data and are expected to see universal adoption in the financial services sector.
LOL (lots of links) 628 implied HN points 13 Jun 23
  1. You can customize your Wikipedia layout with various gadgets and tools like dark mode, article quality rating indicators, and citation hover features.
  2. There are tools available like Wiki shoot me, WikiNav, Wikifeedme, to contribute and enhance your Wikipedia experience.
  3. Wikipedia also offers features like a Copyvio Detector for checking plagiarism and tools for structured search and advanced search for diverse functionalities.
Blog System/5 496 implied HN points 29 Feb 24
  1. The post summarizes interesting articles, videos, and projects from February 2024 with added commentary to urge readers to explore the content.
  2. There are discussions on topics like old hardware databases, software development reflections, and the challenges of modern software bloat.
  3. The author explores topics like breaking memory limitations in DOS, DJGPP running GNU programs on DOS, and the creation of a library in Rust for implementing memory vulnerabilities.
Austin Kleon 1358 implied HN points 24 Jan 23
  1. The Paper Mate Flair pen is great for writing, especially in notebooks. Many people love how it writes smoothly and that it doesn't bleed through the pages.
  2. Using the Flair pen can be a bit tricky as it's water-based ink, which can fade if washed. Some people prefer more permanent inks after experiencing this.
  3. Despite past issues, the Flair pen is making a comeback in some people's writing routines because of its unique feel and style. It's fun to use and can bring creativity to note-taking.
The AI Frontier 179 implied HN points 28 Mar 24
  1. RunLLM is a special AI assistant designed for developers, helping them with coding, answering questions, and fixing bugs. It uses specific training to understand a developer's tools and needs better than general assistants.
  2. The way RunLLM works allows it to provide accurate and relevant information quickly. It does this by fine-tuning its learning based on user feedback and the specific data it needs to use.
  3. Setting up RunLLM is easy and can be done through various platforms like Slack and Discord. Developers can quickly start using it to improve their workflow.
Gradient Flow 559 implied HN points 04 May 23
  1. NLP pipelines are shifting to include large language models (LLMs) for accuracy and user-friendliness.
  2. Effective prompt engineering is crucial for crafting useful input prompts tailored to generative AI models.
  3. Future prompt engineering tools need to be interoperable, transparent, and capable of handling diverse data types for collaboration and model sharing.
Gradient Flow 439 implied HN points 27 Jul 23
  1. Mastering Model Development & Optimization is crucial for building efficient and powerful Generative AI and Large Language Models. Scaling to large datasets, applying model compression strategies, and efficient model training are key aspects.
  2. Customizability & Fine-tuning are essential to adapt pre-existing LLMs to specific business needs. Techniques like fine-tuning and in-context learning help tailor LLMs for unique use cases, such as adjusting speech synthesis models for customized experiences.
  3. Investing in Operational Tooling & Infrastructure, including robust model hosting, orchestration, and maintenance tools, is vital for efficient and real-time deployment of AI systems in enterprises. Tools for logging, tracking, and enhancing LLM outputs ensure quality control and ongoing improvements.
The Line Between 412 implied HN points 15 Feb 23
  1. Creativity can be affected by personal suffering, so a sense of ease is important for the flow of new ideas.
  2. In times of feeling stuck, try making pieces that you can rearrange and combine to inspire creativity.
  3. Finding a balance between sharing valuable content with members and catering to free subscribers is important for subscription-based services.
Art’s Substack 79 implied HN points 14 May 24
  1. Porting a system from Python to Rust led to a significant cost reduction of 1400 times, increased pipeline success rate from 85% to 99.88%, and decreased data availability time from 10 hours to less than 15 minutes.
  2. Moving from reading everything into memory to streaming fashion and eliminating the intermediate JSON format were key improvements in the data processing system.
  3. Python's interpreted nature, dynamic typing, GIL limitations, and multiple packaging options can pose challenges in production systems, making it a less ideal choice for certain needs.
Mindful Modeler 479 implied HN points 02 May 23
  1. Proofreading an entire book with GPT-4 can help automate tasks like improving grammar, language, and cutting clutter in a draft.
  2. Using prompts to guide LLMs like GPT-4 is important for specific and successful outcomes in automated editing.
  3. The economic benefit of using GPT-4 for proofreading can be significant compared to hiring a professional proofreader, offering a balance between capabilities and cost.