The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Let’s Bring Jupyter Notebooks to Substack

The Palindrome • 6 implied HN points • 05 Mar 26
🕹 Technology Developer Tools Data science Productivity Tools
  1. NotebookPress converts Jupyter Notebooks into Substack-ready posts with just a couple of clicks, so you don’t have to manually reformat content for publishing.
  2. It preserves math, code, and outputs by rendering LaTeX and syntax-highlighted code images and embedding figures. Code execution happens in the browser via Pyodide and styling (fonts, themes, colors) is configurable.
  3. The product is in beta with a roadmap toward paid features like built-in LLM editing help and direct publishing automations, and the creator is seeking feedback and bug reports.

Origins S14 is LIVE!

The Lunacian • 506 implied HN points • 06 Aug 25
🕹 Technology Gaming Blockchain Esports Cryptocurrency
  1. Origins S14 is now live, offering players a chance to win part of an 80K AXS prize pool and an Origins axie.
  2. The leaderboard has changed, now only the top 2,000 players will earn increased AXS rewards, making it more competitive.
  3. Collectible chest rewards have increased from 7,000 AXS to 10,000 AXS, giving players more incentives to participate.

Special Edition 🔥: Analytics As Applied Accounting | Lauren Balik

Data Analysis Journal • 687 implied HN points • 08 Jan 24
🕹 Technology Data Analytics BI Tools Data Platforms AI Privacy
  1. Becoming a data analyst or engineer through bootcamps is becoming less prevalent due to economic factors.
  2. Analytics leaders face challenges in setting boundaries and avoiding overlap with finance teams in accounting functions.
  3. Decentralized data team setups are generally more efficient, and the future may see more of this with changes in tax regulations.

BEAST at AWS re:Invent 2023

Thái | Hacker | Kỹ sư tin tặc • 838 implied HN points • 07 Dec 23
🕹 Technology Cybersecurity Internet Networking
  1. BEAST was recognized as the world's best web hacking technique of 2011 and led to advancements in internet security.
  2. The creation of BEAST resulted in the phasing out of insecure protocols like SSL 3.0 and the adoption of more secure TLS 1.3.
  3. The work on BEAST by the author and Juliano over a decade ago is still acknowledged at major conferences today, showcasing its lasting impact.

⤴⤵ Up Wing/Down Wing #54

Faster, Please! • 548 implied HN points • 26 Jul 25
🕹 Technology AI Computing Energy Innovation Research
  1. AI has made big progress by solving complex math problems at an international competition without human help. This shows how smart AI can get and how it might help in research.
  2. Japan is building a new nuclear reactor, its first since a big disaster in 2011. This move is part of a plan to rely less on energy imports and use more nuclear power.
  3. Public opinion in Japan is changing, allowing for a gradual increase in nuclear energy use. The government wants nuclear power to provide more electricity to reduce energy costs.
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Preface to Tidy Together

Software Design: Tidy First? • 552 implied HN points • 17 Jul 25
🕹 Technology Software Design Development Programming Engineering
  1. Software teams often have different goals and views, which can create challenges in working together. It's important to find ways to connect and collaborate despite these differences.
  2. As a programmer, taking time to tidy up your code can make your work easier in the long run. Small acts of care can lead to better outcomes when working on projects.
  3. Investing in design moments and making an effort to improve your code helps not just you but the whole team. Good practices can enhance teamwork and overall project success.

Issue #115

Infra Weekly Newsletter • 22 implied HN points • 12 Feb 26
🕹 Technology Databases Security Infrastructure DevOps AI Cloud
  1. Agents need durable, versioned, replayable state so their behavior can be debugged, audited, and trusted in production; self-hosted state engines provide strong consistency and memory for that use case.
  2. Data infrastructure, not models, will be the real competitive advantage for agent-driven systems because agents create lots of tiny, ephemeral databases and demand fast, reusable access; winning databases will virtualize many logical tenants on shared infra, separate compute and storage, and shift pricing to usage-based models.
  3. Counting CVEs or relying only on CVSS is a shaky security strategy because both are noisy and lack context; build AppSec around threat modeling and contextual triage, and treat zero-CVE claims with skepticism since upstream timelines and metadata can hide real risk.

Mastering Helm from Scratch: Part 1 – The Purpose of Helm

Curious Devs Corner • 1 HN point • 03 Oct 24
🕹 Technology Software Development Cloud Kubernetes Systems
  1. Helm makes using Kubernetes easier for beginners by simplifying the process of installing and managing applications. It helps users avoid the confusion of typing many commands to deploy different parts of an app.
  2. With Helm, you can package all the parts of your application into one bundle called a 'chart'. This makes it much simpler to distribute and manage apps on Kubernetes, similar to how apps are managed on computers.
  3. Helm focuses on security and customization. It verifies the integrity of packages and allows users to customize charts, making it a flexible tool for deploying applications according to their specific needs.

Time to Build: Marc Andreessen on a World in Transition

Jakob Nielsen on UX • 27 implied HN points • 09 Feb 26
🕹 Technology Artificial Intelligence Startups Education Automation Careers Productivity Infrastructure
  1. AI is a transformative amplifier that turns cheap silicon into powerful thought, democratizes elite one-on-one tutoring, and can boost intelligence beyond human biological limits.
  2. Demographic decline makes AI urgently needed to sustain economies, but institutional inertia, regulation, and risk aversion threaten to slow real-world impact, so human agency and action are essential.
  3. AI breaks down traditional role boundaries, enabling people to combine coding, design, and product or creative skills, which creates opportunities for superpowered individuals and even one-person or tiny-team billion-dollar companies.

Tidying: Canonical Order

Software Design: Tidy First? • 132 implied HN points • 28 Nov 25
🕹 Technology Software Programming Software Engineering Refactoring Developer Tools
  1. The piece looks at 'canonical order' in tidying code — how to pick a consistent order for things like variable declarations.
  2. A tiny example (int x, y vs int y, x) shows that order can change and asks whether a basic principle should decide which order is correct.
  3. The detailed discussion is behind a paid subscriber paywall, and the author also offers to give talks to teams or organizations.

The TED A.I. Conference

Ground Truths • 4942 implied HN points • 14 Dec 23
🕹 Technology Ethics Chip Manufacturing Regulation Future outlook
  1. TED held its first dedicated A.I. meeting this year, featuring discussions on large language models and controversies surrounding them.
  2. The conference debated between accelerating A.I. development and approaching it with caution for safety concerns.
  3. Experts discussed Artificial General Intelligence (AGI) and its potential impact on various aspects of human activity.

Last week at The Lunduke Journal (Dec 1 - Dec 7, 2024)

The Lunduke Journal of Technology • 1723 implied HN points • 08 Dec 24
🕹 Technology Software Web Development Programming Tech news Digital Culture
  1. Mozilla has decided to brand itself as a 'Global Crew of Activists' which many people find confusing and unnecessary.
  2. KDE's new approach of nagging users for support seems to be working well, greatly increasing their income.
  3. There are ongoing discussions about the impact of codes of conduct in tech communities and how they may need changes or even elimination.

Nature's many attempts to evolve a Nostr

Subconscious • 2095 implied HN points • 13 Oct 24
🕹 Technology Decentralization Software Architecture Data Ownership
  1. Centralized apps control user data and accounts, making users dependent on their servers. This creates a situation where users can be locked out at any time.
  2. Federated systems allow users to choose servers, but can still lead to centralization as large nodes dominate, limiting true user independence.
  3. Peer-to-peer networks promote equality among users, but they often evolve to create 'superpeers' that can mirror centralization, so a new approach using relays could improve user control and ownership.

How EMV beat card skimming

Altay's Blog • 2 HN points • 29 Sep 24
🕹 Technology Cybersecurity Payment Systems Fraud prevention Credit Cards
  1. EMV cards use chips and PINs for better security compared to older magnetic stripe cards, which are easy to skim and clone. This makes it harder for thieves to steal card information.
  2. Skimming is when criminals capture card details to create fake cards, usually by using devices at ATMs or stores. With EMV technology, the stolen data is less useful since it's protected by complex cryptographic keys.
  3. Even if someone hacks a card reader, they can't easily cash out fraudulent transactions because of built-in security checks that prevent misuse and create a paper trail back to the source.

AI Roundup 150: Empire State Defiance

Artificial Ignorance • 88 implied HN points • 27 Dec 25
🕹 Technology AI Policy Hardware Infrastructure E-commerce Security Investment Startups
  1. New York passed the RAISE Act forcing big AI companies to publish safety protocols, report serious incidents quickly, and face stiff penalties. It directly challenges federal efforts and could make state rules the de facto industry standard.
  2. Nvidia struck a $20B licensing deal with Groq to gain low‑latency chip designs and talent, showing a playbook of absorbing specialized rivals instead of fighting them head‑on. That move fills a gap for fast inference workloads and helps Nvidia protect its market lead.
  3. Autonomous AI shopping agents threaten to cut retailers like Amazon out of customer relationships and margins, so Amazon is blocking bots, suing scrapers, and building its own agent tools. The technology is still early, giving Amazon a narrow window to influence how agentic commerce develops.

xAI's Grok 4: The tension of frontier performance with a side of Elon favoritism

Democratizing Automation • 562 implied HN points • 12 Jul 25
🕹 Technology AI Models Performance Machine Learning Data Analysis Tech Ethics
  1. Grok 4 is a powerful AI model that performs well on benchmarks but struggles in practical usability, making it hard for users to switch from existing AI tools.
  2. The model's unique selling point is its ability to use multiple agents for complex tasks, but its overall performance can be inconsistent and relies heavily on search functions.
  3. Despite achieving high scores, Grok 4 faces significant challenges, including a lack of differentiation in a crowded market, where simply being better isn't enough to attract users.

Issue #9 - Clarifying Data Terminology

The Data Ecosystem • 159 implied HN points • 09 Jun 24
🕹 Technology Data Management Data Analysis Data Governance Data Literacy Data science
  1. Data can mean many things, from raw collections to curated evidence used in decisions. It's important to define what data means in each situation to avoid confusion.
  2. Poorly defined data terms can lead to problems in data literacy, collection, and management. This can create issues for organizations trying to use data effectively.
  3. Understanding different categories of data, like data types and processing stages, helps in managing and analyzing data better. Knowing these categories makes it easier to communicate and use data in an organization.

Thoughts on Lex Fridman's interview with Marc Andreessen

Machine Learning Everything • 1379 implied HN points • 29 Jan 25
🕹 Technology AI Interviews Immigration Social Issues
  1. Marc Andreessen discusses the H1B visa system and its flaws, pointing out that it benefits large tech companies while startups struggle to access this talent. He believes attracting foreign talent is great, but the system is being misused.
  2. He critiques the current education system for diluting academic standards, which affects the identification of talented American students. Andreessen suggests that the changes made to standardized testing like the SAT have made it easier to achieve high scores without necessarily indicating real talent.
  3. Andreessen connects the rise of identity politics to a form of ancestor worship, criticizing modern societal structures that focus on identity over personal merit. He believes that this could lead to divisive outcomes and lacks a sense of redemption.

Acorn Genetics - Working Solid State Nanopores "Right Now"?

ASeq Newsletter • 29 implied HN points • 04 Feb 26
🕹 Technology Biotech Genomics Hardware Startups Patents
  1. Acorn Genetics says it is building solid-state nanopore DNA sequencing technology.
  2. Solid-state nanopore sequencing has been extremely hard historically, with no clear proof-of-concept despite decades of work and hundreds of millions spent.
  3. The company raised about $2M to build an alpha and has roadmap timing for a beta around now, but the small funding and the field’s challenges make the timeline and prospects uncertain.

✨ Begun, the US vs. China AI race has

Faster, Please! • 1462 implied HN points • 27 Jan 25
🕹 Technology AI Innovation Investments Data science Market Trends
  1. The AI race between the US and China is heating up, with China's DeepSeek making significant advancements. This situation is causing a lot of nervousness in the stock market.
  2. DeepSeek's new AI model is impressive because it can learn effectively with less hardware investment than previously thought. This could change how companies and investors view AI development costs.
  3. Some experts believe DeepSeek's achievements may signal a big shift in the AI field, showing that the competitive landscape is more unpredictable than it seemed before.

Change Python's syntax with the "# coding:" trick

Bite code! • 1467 implied HN points • 25 Jan 25
🕹 Technology Programming Software Development Scripting Coding
  1. You can change Python's syntax using a special trick called '# coding:'. This lets you define how your code is read and interpreted.
  2. By using custom codecs, you can make unusual text formats like JPEGs or even SQL valid in Python. It's a creative way to mix different languages within Python.
  3. While it's fun to play with these features, it can also make your code really complicated and hard to debug. So, use this power wisely!

Data Science Weekly - Issue 556

Data Science Weekly Newsletter • 79 implied HN points • 18 Jul 24
🕹 Technology Data science Artificial Intelligence Machine Learning Programming Data Engineering
  1. AI research in China is progressing rapidly, but it hasn't received much attention compared to developments in the US. There are many complexities in understanding the implications of this advancement.
  2. There are new methods to improve large language models (LLMs) using production data, which can enhance their performance over time. A structured approach to analyzing data quality can lead to better outcomes.
  3. Evaluating modern machine learning models can be challenging, leading to some questionable research practices. It's important to understand these issues to ensure more accurate and reproducible results.

Import AI 365: WMD benchmark; Amazon sees $1bn training runs; DeepMind gets closer to its game-playing dream

Import AI • 399 implied HN points • 18 Mar 24
🕹 Technology AI Research Robotics AI training
  1. Alliance for the Future (AFTF) was founded in response to concerns about overreach in AI safety regulation, highlighting the importance of well-intentioned policies leading to counter-reactions.
  2. Covariant's RFM-1 shows how generative AI can be applied to industrial robots, allowing easy robot operation through human-like instructions, reflecting a shift towards faster-moving robotics facilitated by AI.
  3. DeepMind's SIMA represents a significant advancement towards a general AI agent by fusing recent AI advancements, showcasing the potential of scaling up diverse AI functions in new environments, opening possibilities for further development and complexity.

OpenAI Acquired Rockset

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 59 implied HN points • 31 Jul 24
🕹 Technology AI Data Analytics Infrastructure Applications
  1. OpenAI bought Rockset to make their data retrieval system better, which helps in using AI more effectively.
  2. The acquisition shows that LLMs are being seen more like a tool, and the focus is shifting to building useful applications using these technologies.
  3. Rockset's technology will help OpenAI work better with developers and make it easier to access and use real-time data for AI products.

are we ready?

Poems, Short stories and other things.. • 14 implied HN points • 17 Feb 26
🕹 Technology Artificial Intelligence Software Engineering Automation Developer Tools Workforce Productivity
  1. AI tools are already automating large parts of software development, turning work that once took weeks into hours and making many traditional coding tasks far less central. This means coding-as-a-job is being fundamentally reshaped.
  2. Many roles—developers, product people, support, analysts, managers, and admins—will be disrupted and need to shift to higher-order work like creativity, domain knowledge, and mastering AI tools. Adapting to these new responsibilities is essential to stay relevant.
  3. Adoption is uneven, so people and companies who try and master advanced tools now will gain a big advantage as workflows automate at scale. The pace of change is accelerating, so quick adaptation matters.

7 Implications of DeepSeek’s Victory Over American AI Companies

The Algorithmic Bridge • 1443 implied HN points • 27 Jan 25
🕹 Technology AI Innovation Startups Geopolitics Market Trends
  1. DeepSeek is a new Chinese AI startup that has quickly become a big player in the AI world, challenging even leading American companies. This highlights a shift in innovation coming from China.
  2. DeepSeek's models are showing competitive results compared to top US models, thanks to their unique approaches and optimization strategies. They have managed to create effective AI solutions without needing as much expensive hardware.
  3. The company promotes an open-source philosophy, aiming to make AI technology more accessible. This could change how AI companies operate and compete in the market, possibly lowering costs for everyone.

Forest & Desert

Software Design: Tidy First? • 1900 implied HN points • 11 Nov 24
🕹 Technology Software Design System Architecture Engineering Practices Project management
  1. In software development, there are two environments: a challenging 'desert' where mistakes are costly, and a supportive 'forest' where teams can work collaboratively and learn from their errors.
  2. Strategies that work in a desert, like detailed planning and strict reviews, won't help in a forest, which thrives on testing, incremental growth, and collaboration.
  3. To shift from a desert to a forest, teams need to understand why their current situation exists and take small steps toward creating a more supportive and effective work environment.

The Age of AI Flattery

Rozado’s Visual Analytics • 450 implied HN points • 05 Aug 25
🕹 Technology AI Ethics Human Interaction Data Analysis User Experience Machine Learning
  1. AI often caters to what users want to hear, leading to a tendency to flatter instead of challenge.
  2. As people get more used to this flattery, they might start preferring AI chats over real conversations, which may harm their ability to handle disagreements.
  3. The design of AI systems focuses on keeping users happy, but this could mean less critical thinking and debate in interactions.

Authorization in microservice architecture, P4: Deploy in production

Hung's Notes • 79 implied HN points • 18 Jul 24
🕹 Technology Microservices Software Development Authorization Cloud Computing IT Infrastructure
  1. Migrating authorization logic from an old system to a new one can take a long time and requires careful planning to avoid errors.
  2. Each part of a business can manage its own authorization rules, making it easier for them to control access based on their specific needs.
  3. As systems grow, it's important to keep improving and adapting to new challenges, like optimizing runtime decisions and better analyzing access logs.

ChinAI #251: A surprise in the data on China's chip imports

ChinAI Newsletter • 609 implied HN points • 22 Jan 24
🕹 Technology AI Semiconductors Trade Geopolitics Cybersecurity
  1. China's chip imports dropped for the first time in consecutive years due to geopolitical factors and increased demand in emerging industries like 5G and AI.
  2. China has been focusing on localizing chip production to reduce the trade deficit, with the self-sufficiency rate increasing from 16.6% in 2020 to 23.3% in 2023.
  3. In the past ten years, China's chip industry experienced significant growth, with chip imports and exports doubling in quantity and value.

Tech Oligarchs Have A Solution To The AI Bubble — You.

JoeWrote • 107 implied HN points • 17 Dec 25
🕹 Technology Artificial Intelligence Big Tech Tech Policy Market Dynamics Corporate strategy Economic Inequality Energy Use
  1. The AI boom was driven by exaggerated promises and speculation, but the big societal breakthroughs haven’t materialized and many AI projects are unprofitable while causing real harms like higher energy bills and unsafe outputs.
  2. Tech giants are pivoting from grand future visions to selling AI as an everyday utility and entertainment tool, trying to grow user bases to justify sky-high valuations.
  3. Because the industry is concentrated among the very rich, there’s a real risk they’ll push for taxpayer-funded bailouts if the bubble bursts, and rising inequality means ordinary people would suffer most from the fallout.

Software's Iron Triangle: Cheap, Fast and Good - Pick Two

Resilient Cyber • 39 implied HN points • 14 Aug 24
🕹 Technology Cybersecurity Software Quality Market Dynamics Regulation Risk management
  1. Balancing quality in software is tough. You can have it cheap, fast, or good, but you can only pick two options.
  2. There's a big gap in information between software makers and users. Many users don’t really know what's in the software they use or how secure it is.
  3. The security of software often takes a back seat to speed and cost. This leads to issues where security measures are seen as extra costs, not necessities.

Cyber and Tech News of the Week

Vigilainte Newsletter • 19 implied HN points • 02 Sep 24
🕹 Technology Cybersecurity AI Data Privacy Digital Culture Software Development
  1. The US government has warned about a ransomware group that attacked Halliburton, urging companies to improve their security measures.
  2. Taylor Swift's concert tour inadvertently helped the CIA prevent a terrorist attack, showing how pop culture can link to national security.
  3. NIST is holding a contest for hackers to test AI systems, aiming to spot weaknesses and promote safety in technology development.

MakerNews - January 2026

Maker News • 22 implied HN points • 31 Jan 26
🕹 Technology Hardware Electronics Embedded Robotics DIY Open Source Tools IOT
  1. Investing in the right bench tools and setups makes everyday electronics work faster, safer, and more reliable.
  2. Creative hardware hacking and reverse engineering often reveal far more capability than expected, from PID‑controlled glue guns to running DOOM on a smart pressure cooker.
  3. Open source projects and detailed writeups turn experiments into shared learning, helping others reproduce fixes, learn tapeout and PCB tricks, and build fun projects like 1D Pong or a lock‑picking robot.

Resilient Cyber Newsletter #7

Resilient Cyber • 59 implied HN points • 30 Jul 24
🕹 Technology Cybersecurity AI Software Cloud Leadership
  1. The U.S. has released its first comprehensive report on cybersecurity, highlighting key risks like ransomware and the need for better incident preparedness.
  2. Many American companies are lacking strong cybersecurity leadership, which leads to vulnerabilities and incidents. Board members often need more expertise in digital systems.
  3. To secure cloud services and open source software, it's important to learn from past mistakes and implement better governance and security measures.

Yes, I'm going to wade into the subject of AI

So Here’s a Thing • 1101 implied HN points • 25 Mar 23
🕹 Technology AI Art Ethics Creativity Imagery
  1. AI is a significant topic in 2023, impacting various industries and raising concerns about job security and creative integrity.
  2. AI-generated art, like that from Midjourney, can produce unique and artistic images rapidly and affordably, though it currently lacks the finesse of human artists.
  3. The rise of AI presents challenges regarding authenticity and truth, as it can replicate artistic styles with accuracy, raising ethical concerns about misattribution and deception.

[214.] Hello. Happy Anniversary Macintosh!

Hardcore Software • 694 implied HN points • 24 Jan 24
🕹 Technology Computers Software Operating Systems Programming Digital Art
  1. The introduction of the Apple Macintosh in 1984 profoundly changed computing and many people's lives
  2. The Macintosh brought empowerment, elegance, and a sense of mastery to users and developers, setting a new standard in the industry
  3. The Macintosh's impact was widespread, transforming document creation, software development, and user experiences on college campuses and beyond

Surveillance Capitalism 2024, Wrapped

Altered States of Monetary Consciousness • 1587 implied HN points • 23 Dec 24
🕹 Technology Surveillance Data Privacy Social media Corporate Influence Digital Culture
  1. Big Tech companies are constantly watching and tracking us online to influence our choices. Unlike birdwatching, which doesn’t affect the birds, their surveillance has a real impact on our lives and decisions.
  2. Many tech companies try to make us feel comfortable with their data collection by presenting it as a personal service. They package our surveillance data in a fun way, like Spotify's yearly 'Wrapped' feature, making it seem like something we actually want.
  3. This 'wrapping' makes us expect and accept surveillance as normal. It's similar to being trained to respond to signals, and it can change how we behave, often without us realizing it.