The hottest Knowledge Management Substack posts right now

And their main takeaways
Category
Top Technology Topics

TBM 411: Messy Docs As Helpful Pattern

The Beautiful Mess • 581 implied HN points • 17 Mar 26
💼 Business Knowledge Management
  1. High-performing teams often rely on messy, freeform docs—copying notes, links, screenshots, checklists, and inline todos—to externalize working memory and capture evolving product work.
  2. Those documents only stay useful when they’re part of a repeated ritual: frequent integration, reflection, and habit keep the artifacts current; without that repetition they decay into relics or private knowledge.
  3. Organizations still need legibility, so the aim should be to design small, intentional interfaces—minimal shared routines, objects, or language—that translate messy local work into clear signals without forcing teams to stop working the way they do.

Problems Sublime solves—at least for me

The Sublime Newsletter • 554 implied HN points • 19 Oct 24
🕹 Technology Knowledge Management
  1. Sublime helps you remember important information by letting you save articles, notes, and quotes in one place. This way, you can easily find what you need when you need it.
  2. It collects inspiration from various platforms and organizes it all in one location. This makes it simpler to access ideas without searching through multiple apps.
  3. Sublime is designed to be user-friendly and doesn't require a steep learning curve. It focuses on making knowledge management easy and enjoyable for everyone.

The Architecture Of Ideas

Adjacent Possible • 506 implied HN points • 03 Feb 26
🪑 Design Knowledge Management
  1. Curating a notebook or collection is itself a creative act: assembling sources, visuals, and artifacts turns research into an exhibit that shapes how ideas are discovered and shared.
  2. A creative environment is broad and intentional: physical spaces, digital tools, rituals, and social networks all act as infrastructure that helps capture slow hunches and produce serendipitous idea collisions.
  3. Practical workflows and rules make long-form thinking possible: capture systems, movable-text tools, editing habits, and AI-assisted research help organize messy fragments so you can surface ideas you wouldn’t have found otherwise.

Clouded Judgement 3.20.26 - Digital Twins

Clouded Judgement • 14 implied HN points • 20 Mar 26
💼 Business Knowledge Management
  1. Digital twins digitally capture human and institutional knowledge so AI agents can access and act on it, making knowledge representation the main bottleneck for scaling AI rather than model intelligence.
  2. They come in practical flavors—workflow capture, institutional memory, expert twins, customer twins, and knowledge multiplication—that help preserve know‑how, raise the floor of performance, and enable continuous research without repeated manual effort.
  3. Building a personal or company digital twin lets you scale and even monetize expertise that used to be limited by time, so early adopters who package their knowledge will gain a big advantage.

Differential knowledge interconnection

Engineering Ideas • 39 implied HN points • 12 Oct 24
🕹 Technology Knowledge Management
  1. Not all AI technologies are harmful. Some can help produce good knowledge that supports a sustainable future, while others might exploit flaws in society.
  2. Good knowledge helps connect and understand well-being, which is crucial for a sustainable civilization. It's important to have interconnected knowledge about all moral patients.
  3. AI capabilities that promote this interconnected knowledge are likely beneficial. However, there's a risk of technology dehumanizing society if not handled carefully.
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The CTO’s Hidden Notebook

The CTO Substack • 339 implied HN points • 26 Jul 24
🕹 Technology Knowledge Management
  1. Taking notes is about more than just gathering information. It's about building your own understanding and knowledge over time.
  2. Using a structured method, like the Zettelkasten system, can help you organize your thoughts and learn more effectively.
  3. Writing regularly about what you learn can change how you approach your work and meetings, making them opportunities for growth.

How to Build an AI Agent Company in 2026: Lessons from Glean’s $7.2B Playbook

Market Curve • 100 implied HN points • 26 Jan 26
🕹 Technology Knowledge Management
  1. Make AI agents easy and reliable by hiding RAG and knowledge-graph complexity, connecting across apps, and grounding answers in company data so the system retrieves facts and says “I don’t know” instead of hallucinating.
  2. Get early customers by solving a real internal pain with long free trials and usage-first metrics, use high-touch onboarding and customer advocates to expand pilots into large enterprise deals.
  3. Start in a language-heavy vertical, build deep integrations and reusable agent templates (amplified by influencers), then scale with sales-led motions, bundling features while making security, permissions, and governance core.

Machine Readable

Adjacent Possible • 474 implied HN points • 25 Jun 25
🕹 Technology Knowledge Management
  1. Language models like AI can help researchers by making it easier to analyze and write about history. They serve as a tool to explore new ideas and angles in research.
  2. Using AI as a collaborator can enhance creativity in writing. It allows writers to experiment with different structures and topics without fully outsourcing their thoughts and decisions.
  3. While AI is helpful for summarizing and generating connections, it should not replace deep reading of primary sources. Engaging with the text is crucial for true understanding and insight.

The Real Cost of Knowledge Worker Attrition

Gad’s Newsletter • 44 implied HN points • 15 Dec 25
💼 Business Knowledge Management
  1. The true cost of losing knowledge workers is much larger than just hiring and training expenses; firms also pay in lost productivity, broken team coordination, ruined institutional knowledge, weakened innovation, and extra contingency spending.
  2. Turnover in knowledge-intensive roles (like software engineers) can disrupt projects, reduce quality and innovation, harm customer relationships, and often costs on the order of a full year’s salary or more.
  3. Not all turnover is bad: losing top performers is very costly while losing weak performers can help, so companies should optimize retention by protecting high-value employees and not reflexively holding on to marginal ones.

Claude Projects & Artifacts 101: Build Custom AI Workspaces (60+ Templates)

The Product Channel By Sid Saladi • 20 implied HN points • 28 Dec 25
🕹 Technology Knowledge Management
  1. Projects give your AI a persistent memory and organized workspace by storing files, preferences, and chat history so you don’t have to repeat context every time.
  2. Artifacts turn outputs into visual, interactive workspaces and runnable documents so you can see and test designs or code instead of staring at walls of text.
  3. Using Projects and Artifacts together makes the AI act like a consistent, productive teammate; set up a project, upload key files, and save custom instructions to speed up daily work.

Forever Forgetting Sh!t: Navigating Personal Knowledge Management

QUALITY BOSS • 39 implied HN points • 25 Apr 24
🚌 Education Knowledge Management
  1. A Personal Knowledge Management System (PKMS) helps you keep track of the huge amount of information we encounter daily. It makes remembering important things easier and less stressful.
  2. Finding the right tools for your PKMS can be challenging. Using too many different apps can create chaos instead of helping you stay organized.
  3. Creating a structured system for storing and retrieving information can boost your creativity and efficiency. It allows you to focus on using your knowledge instead of just trying to remember it.

Tools for thought in your OODA loop

Subconscious • 949 implied HN points • 23 Jun 23
🕹 Technology Knowledge Management
  1. The OODA loop consists of observe, orient, decide, and act, crucial for agency in a cybernetic system.
  2. Fast transients and maintaining awareness are key to disorienting adversaries and maintaining agency.
  3. Tools for thought expand awareness, build memory, and increase bandwidth for synthesis, essential for navigating complex environments.

Implementing Chain-of-Thought Principles in Fine-Tuning Data for RAG Systems

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 07 Jun 24
🕹 Technology Knowledge Management
  1. Using Chain-of-Thought principles can help language models improve how they think and respond. This means they can become better at understanding complex questions.
  2. Fine-tuning training data is being done in a more detailed way to enhance performance. This makes the models more efficient and effective in answering specific tasks.
  3. The goal of these improvements is to reduce errors, or 'hallucinations,' in responses. This way, the model can provide more accurate answers based on the information it retrieves.

Dive into UpYouth Vault

Binh’s Archive • 39 implied HN points • 12 Feb 24
🕹 Technology Knowledge Management
  1. UpYouth Vault is a knowledge management system at UpYouth accessed through a chatbot called Bob on Telegram.
  2. At UpYouth, there was a need for a system like UpYouth Vault to prevent valuable knowledge from getting lost in group chats.
  3. Bob, the chatbot, supports features like semantic search and Retrieval Augmented Generation to enhance user experience.

Breaking the wall between teams

Leading Developers • 100 implied HN points • 22 Oct 24
💼 Business Knowledge Management
  1. Encourage horizontal communication between teams to break down knowledge silos. This can be done through initiatives like Engineering Guilds where team members can share ideas and strategies.
  2. Develop a strong documentation culture to reduce redundancy and ensure important information is easily accessible. Using standardized formats can make documentation simpler and more effective.
  3. Focus on improving onboarding experiences by providing new employees with guides and introductions to other teams. This helps build connections and ensures they have the resources they need from the start.

Beyond RAG: Building a Knowledge Management System That Enhances Rather Than Replaces Thought

Nick Savage • 56 implied HN points • 02 Jan 25
🕹 Technology Knowledge Management
  1. Using digital tools for note-taking can be helpful, but you can lose some benefits of physical notes, like seeing related ideas together. It's important to find ways to keep those surprising connections.
  2. AI tools can automate parts of knowledge management, but they might not always help you understand the content better. Personal processing and making connections should still be done by humans.
  3. The goal of a good knowledge management system is to enhance your own insights and understanding. Tools should help organize, but the learning and connecting of ideas should still come from you.

Digital Gardens as a Service

Aliveness Studies • 13 implied HN points • 26 Dec 24
🕹 Technology Knowledge Management
  1. Intellectual labor online is not rewarded well right now. People like Gwern Branwen, who provide deep insights, often struggle to earn a decent income.
  2. Current platforms favor quick, flashy content over thoughtful, long-term ideas. A new platform is needed that supports ongoing intellectual work and gradual idea development.
  3. The ideal solution would be a user-friendly platform that enables writers to create, share, and monetize evolving essays without the hassle of technical challenges. This could help cultivate more in-depth thinkers.

How I manage information

Perambulations • 3 implied HN points • 06 Feb 24
🕹 Technology Knowledge Management
  1. Managing knowledge and information is important for staying organized and productive.
  2. Separating the tasks of finding and reading articles can improve focus and efficiency.
  3. Using parsimonious and opinionated tools for knowledge management can help maintain focus and avoid overwhelm.

From Vector Search to Entity Processing: Evolving Zettelgarden's Connection Engine

Nick Savage • 0 implied HN points • 02 Dec 24
🕹 Technology Knowledge Management
  1. Zettelgarden aims to help users discover connections between their notes, not just the recent ones. It wants to make sure older notes are just as visible and important as new ones.
  2. The project started with vector search, which had some challenges when dealing with longer notes. To overcome this, smaller chunks of text were used for better connections.
  3. Now, Zettelgarden is focusing on 'entity processing' to identify important people, places, and events within notes. This helps link related ideas more effectively.

The mistake departments make and how LLMs can fix it

Power Platform News • 0 implied HN points • 20 Feb 24
🕹 Technology Knowledge Management
  1. Improving digital experiences within departments is crucial to help users easily access information and services, just like with ordering food online.
  2. Departments often have a lot to offer but struggle to effectively communicate this to users through traditional brochures or menus.
  3. Utilizing LLMs (Large Language Models) can enhance the user experience by providing better content discovery, making it easier for users to access information and interact with departments.

How the JC works

The Jolly Contrarian • 0 implied HN points • 20 Apr 24
🚌 Education Knowledge Management
  1. The main role of the Substack newsletter is to publicize content on the Jolly Contrarian and serve as a way to charge for access to the premium site.
  2. The Jolly Contrarian has free and premium versions, with premium content focusing on master trading agreement 'Owner's Manuals' and more detailed commentary.
  3. The Jolly Contrarian uses MediaWiki, like Wikipedia, for organizing information, but has a different structure and content with additional material on the premium site.