The hottest Substack posts right now

according to Hacker News
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House hacking a $1.05m fourplex in Boise

The Leonard Letter • 19 implied HN points • 19 Jan 24
💼 Business Financial Analysis Real Estate Investment Property Management Rental market
  1. House hacking a fourplex in Boise with renting possibilities near the university could be a smart move for your portfolio.
  2. Initial financial analysis shows a slight monthly loss, but potential to increase income by furnishing rentals and bundling utilities.
  3. Consider leveraging student housing demand and available options to generate additional income and potentially turn the property profitable.
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Fed Stonewalls Synapse FOIA Request

Fintech Business Weekly • 44 implied HN points • 19 Jan 25
💰 Finance Fintech Investments Consumer Finance Regulation Banking
  1. The Cash App recently settled legal issues, which included fines for not properly handling anti-money laundering rules. They also agreed to improve their security and support for users.
  2. The Consumer Financial Protection Bureau released a report on 'buy now, pay later' services, revealing that many loans are small but often lead users to take out multiple loans at once.
  3. There are ongoing concerns about transparency from banking regulators, especially regarding their responses to Freedom of Information Act requests, indicating a gap between what they promise and what they deliver.

Who Gets to Compute?

Technically Optimistic • 19 implied HN points • 19 Jan 24
🕹 Technology AI Machine Learning Open Source Innovation
  1. The barrier to training large language models (LLMs) has been a challenge due to the high cost of resources like talent, data, power, and computing; this could lead to a situation where only big tech companies control AI, but there's hope for more diversity with smaller models.
  2. Direct Preference Optimization (DPO) is a potential game-changer in training LLMs as it skips the need for a costly reward model, reducing the barrier to entry for creating new models and potentially allowing for more diverse players in AI development.
  3. While DPO may make training large language models more accessible and less costly, it skips an important step involving human feedback that helps iron out biases and improve understanding of how these systems work, possibly hindering explainability efforts.

Fear Sells

Diane Francis • 259 implied HN points • 19 Jul 21
💼 Business Consumer behavior Economics Media Marketing Real Estate
  1. Fear triggers strong emotions in people, leading them to react quickly without thinking. This is why the media often uses fear to get attention and sell stories.
  2. There is a growing market for products and services that cater to people's fears, like panic rooms and survival bunkers. Companies are making money off people's anxiety about safety and the future.
  3. Instead of relying on expensive fear-based solutions, people can better manage their anxiety by focusing on the present, identifying stress triggers, and taking simple steps like breathing exercises.

Disposability & Repair in the Digital Age

The Digital Anthropologist • 19 implied HN points • 19 Jan 24
🕹 Technology Subscriptions Quality Market Consumers Repair
  1. The rise of the right to repair movement and disposable technologies can lead to better technology and happier consumers.
  2. Ownership is preferred over borrowing, showing that subscriptions often fail to create brand loyalty.
  3. The right to repair movement challenges the subscription model, aiming for higher quality products that benefit the planet and society.

the end of zero-marginal costs + the end of your ai fund

State of the Future • 44 implied HN points • 15 Jan 25
💰 Finance Venture Capital Startups Economic Factors Market Trends
  1. AI investing is getting more complicated and expensive because it requires a lot of computing power to operate. This has shifted the focus from free services with low costs to ones that need higher budgets.
  2. Startups may struggle with lower profit margins compared to past tech companies, which could make it harder for them to grow and attract funding. Investors are taking notice of these challenges.
  3. Public markets might offer better opportunities for investing in AI now, compared to private startups. Companies with solid infrastructure, like big tech firms, have an edge that makes investing directly in them more appealing.

Finding the way in

Sunday Letters • 59 implied HN points • 23 Apr 23
🕹 Technology Innovation Product Development Consumer Startups AI
  1. Building products means you will make mistakes, but listening to users helps you learn what works. If a product isn't useful, people won't care about it.
  2. Incumbent companies can be tough competition for startups. Sometimes, it's better to target smaller, underserved groups that bigger companies ignore.
  3. Being a startup has its own strengths. You can focus on specific needs and spaces that might grow into a big opportunity over time.

State of AI: December 2025 newsletter

Guide to AI • 4 implied HN points • 30 Nov 25
🕹 Technology Policy Hardware Research AI Startups Funding Cloud
  1. AI compute has entered a full-scale arms race: hyperscalers, labs and chip vendors are locking in multi-year capacity, driving massive hardware investments and prompting governments to tie AI planning to energy and national security, which is fragmenting global hardware markets.
  2. Frontier models are becoming more agentic and multimodal, with longer contexts and built-in tool use that let them plan and act across apps, while new open and high-quality image models are making real-world visual generation and editing practical for enterprises.
  3. Research is turning into powerful, practical tools—efficient local models, retrieval-augmented biology models and AI scientist systems—but audits and papers also expose limits and risks like planning failures, transparency lapses and reward-hacking that make safety and verification urgent.

Daily Brief: Income Statements & Heat Engines

Math Meets Money • 1 HN point • 20 Aug 24
💼 Business Accounting Management Economics Consulting Finance
  1. Every business operates on a basic principle: income equals revenue minus costs. This is like a simple equation that explains how money flows in and out.
  2. A business can be thought of as a heat engine where revenue is the input, total costs are the output, and net income is the useful energy left over to be used by the company.
  3. Businesses help organize and order capital, just like heat engines organize particles. Understanding these similarities can make it easier to grasp how businesses function.

Can our tech calm down?

New Things with Eric Athas • 3 HN points • 07 Jul 24
🕹 Technology Tech Ethics Product Design
  1. Amber Case discusses our cyborg nature and how we have been cyborgs since the first tool, enhancing ourselves with external components.
  2. Examining our relationship with technology is crucial for improving design and ensuring that products work alongside us without overwhelming us.
  3. Designing products with cues and interfaces that inform without overburdening can improve user experience and help us relax, unlike many modern technologies that demand constant attention.

Error Correcting Codes for AI

Embracing Enigmas • 19 implied HN points • 19 Jan 24
🕹 Technology AI
  1. Error correcting codes help identify and correct errors in data transmission and have potential applications in AI models.
  2. Cognitive biases and errors are inherent in both human and AI decision-making processes.
  3. Building error correction mechanisms into AI models is crucial for improving trust and reliability in their outputs.

Regulators Should Conduct "Material Loss Review" Of Synapse Disaster

Fintech Business Weekly • 52 implied HN points • 08 Dec 24
💰 Finance Investments Banking Regulation Fintech Risk management
  1. Regulators should look into the Synapse disaster to understand what went wrong. This could help prevent similar issues in the future.
  2. There is a significant amount of lost funds that still needs to be clarified, impacting many users. Authorities need to take responsibility and provide transparency.
  3. The emotional toll on the people affected is serious, as highlighted by the Synapse trustee's feelings during court. Many end users are suffering and need answers.

Generating a Human Response to Artificial Intelligence on The Future of Work

Workforce Futurist by Andy Spence • 244 implied HN points • 22 Mar 23
🕹 Technology Automation Workplace Ethics AI Future Impacts
  1. ChatGPT is a powerful generative AI tool that is rapidly developing and has various applications in automation and work tasks.
  2. The impact of AI on work is significant, with potential job task implications for the workforce, especially in white-collar professions.
  3. Society needs to address challenges related to AI regulation, digital access divide, bias prevention, and reimagining the future of work that balances human and machine capabilities.

What is a Belief (Part 2: Language, Truth, and Logic)

Ethics Under Construction • 15 implied HN points • 02 Aug 25
📖 Philosophy Truth Logic Ethics Meaning Language
  1. A belief is when we say something is true about a thought. We give thoughts the property of being true based on our perspective.
  2. Language is a way to share our thoughts, but it doesn't always need to be logical. Even strange phrases can still communicate ideas.
  3. Truth is about how our beliefs relate to reality. We assign truth to our thoughts, but the world is already true without our beliefs influencing it.

Starting in Mysticism; Ending in Politics

The Joyous Struggle • 59 implied HN points • 10 Oct 22
📖 Philosophy Transcendence Modernity Mysticism Politics
  1. Charles Peguy believed that everything starts in mysticism and ends in politics, emphasizing the importance of understanding the origins and implications of statements and ideologies.
  2. Peguy's concept of 'amodernism' challenges the traditional views associated with modernity, suggesting a different perspective that incorporates mysticism and transcendence.
  3. The idea of starting from a mystical perspective rather than a modern one can lead to a more meaningful and profound approach when shaping a shared world and understanding reality.

How to Sell Products and Retain Customers

Sarah's Newsletter • 119 implied HN points • 12 Apr 22
💼 Business Data Analysis User Experience Product Development Customer Retention Marketing
  1. Understand your audience and solve their real problems to attract and retain customers.
  2. Provide a smooth onboarding experience to help users transition from inefficient processes to using your product.
  3. Customers who find your product valuable will be forgiving of small bugs, but focus on seamless integration within their ecosystem.

Identifying unmaintained open source packages at scale

Once a Maintainer • 5 implied HN points • 20 Nov 25
🕹 Technology Open Source Software Development Data Analysis Machine Learning
  1. Open source packages can become abandoned when original developers lose interest, meaning they might not get important updates or security fixes.
  2. To find abandoned packages, you can look at factors like how often the package has updates, the activity of commits, and what maintainers say about the package.
  3. Machine learning models can help predict whether a package might be abandoned by combining various factors like release frequency, maintainer communication, and community engagement.

Brigit's Good Intentions Aren't A Defense to FTC Allegations

Fintech Business Weekly • 156 implied HN points • 12 Nov 23
💼 Business Fintech Regulation Investment Financial Services
  1. Brigit faced FTC allegations despite good intentions in serving lower-income users
  2. FTC alleged deceptive practices by Brigit, including misleading claims and difficult subscription cancellations
  3. The Federal Reserve proposed lowering the debit interchange cap, expecting cost savings for merchants and potential impacts on fees and ecommerce

🎧 AUDIO Now Available - Turning Point in AI - Leaders Rally for a Natural AI Initiative

Spatial Web AI by Denise Holt • 19 implied HN points • 18 Jan 24
🕹 Technology AI Science Research Ethics Future
  1. Global scientific leaders propose a radical rethinking of AI, advocating for AI systems modeled after natural organisms, displaying attributes like autonomy and adaptability.
  2. The initiative by leaders behind Active Inference aims for more transparent, ethical, and beneficial AI systems, moving away from data-intensive and computationally expensive models.
  3. The letter highlights key points like the need for scientific grounding in AI development, addressing misconceptions about AI's existential threats, and envisioning a future of AI that is more in tune with natural intelligence.

The Bitter Lesson

Artificial Fintelligence • 20 implied HN points • 26 Jun 25
🕹 Technology Machine Learning AI Computation Research Innovation
  1. Over time, methods that use more computing power will usually do better than those that don't. It's important to think about how to use more compute in AI.
  2. In the short term, adding human knowledge can help achieve good results quickly, but it's often not a good long-term strategy. Relying too much on human input can stall advancement.
  3. Real success in AI comes from focusing on general improvements that can scale, rather than chasing quick wins with expert knowledge. This approach is harder but pays off in the long run.

Ten Borrowed Years

'Sorry, can you speak up? I have Tinnitus.' • 61 implied HN points • 29 Oct 24
📖 Philosophy Existentialism Mortality Self-reflection Meaning of life Personal Growth
  1. Life is fragile and can change in an instant. After nearly dying, it's clear that every day is a gift that shouldn’t be taken for granted.
  2. We all have a choice in how we live our lives. Instead of just going through the motions, we should actively strive to make our lives meaningful and impactful.
  3. Understanding our own mortality motivates us to live fully. It's important to remember that our actions today can create a lasting difference in the world.

Claiming LLMs are merely "next token predictors" is a fundamental misunderstanding

The Future of Life • 19 implied HN points • 18 Jan 24
🕹 Technology Algorithms Neural Networks Machine Learning Computational Theory AI
  1. LLMs are more than just next-token predictors. They use complex internal algorithms that let them understand and create language beyond simple predictions.
  2. The process that powers LLMs, like token prediction, is just a tool that leads to their true capabilities. These systems can evolve and learn in many sophisticated ways.
  3. Understanding LLMs isn't easy because their full potential is still a mystery. What limits them could be anything from their training methods to the data they learn from.

[Solution]Problem 65:Find the Fixed Point in a sorted array[Apple]

Technology Made Simple • 59 implied HN points • 18 Nov 22
🕹 Technology Software Development Coding Algorithms Tech Solutions
  1. A fixed point in a sorted array is an element whose value matches its index. Binary search can be used to efficiently find a fixed point if the array is sorted.
  2. When optimizing algorithms, focus on improving the major components like loop traversal to enhance the overall performance.
  3. In sorted arrays, utilizing comparators and the inherent comparison order can simplify the coding process and boost efficiency.

The Journey of Glovo: Founder Sacha Michaud

The Healthtech Initiative • 1 implied HN point • 01 Feb 26
💼 Business M&A Fundraising Logistics Operations Startups International Strategy Growth
  1. They tested an unscalable MVP and deliberately kept non-food categories even while losing money, which proved the "anything in your city" idea and let them pivot quickly to groceries during COVID.
  2. They expanded with small, scrappy launch teams who built local operations from the ground up, and those boots-on-the-ground employees became the strongest leaders because they had real skin in the game.
  3. They prioritized market leadership and capital efficiency, exiting losing markets and using logistics data to only enter cities and verticals they could serve under their 30-minute promise, a focus that helped drive their €2.3B acquisition.

Jobs in Danger!

aidaily • 19 implied HN points • 18 Jan 24
🕹 Technology
  1. IMF predicts AI may impact 40% of jobs, urging policymakers to address trends to curb inequality.
  2. ChatGPT implements an update to avoid discussing U.S. election information, redirecting users instead.
  3. Suggestions of an AI tax to tackle job losses might be premature, with a need to wait and see how AI impacts the job market.

VyStar Invested $20M Into “Dysfunctional” Nymbus; “Botched” Transition Led To Consent Order, $1.5M Penalty

Fintech Business Weekly • 59 implied HN points • 03 Nov 24
💼 Business Fintech Legal issues Banking Investments Consumer Protection
  1. VyStar Credit Union faced major issues after investing $20 million in Nymbus due to a failed transition to a new online banking platform.
  2. The Consumer Financial Protection Bureau ordered VyStar to pay a $1.5 million penalty for unfair practices during the transition process, which left customers unable to access their accounts.
  3. Nymbus is currently involved in multiple legal disputes with clients, claiming it failed to deliver promised services and is now reportedly trying to extort money from a former customer.

The Best Web to App Converters in 2024

The journey of a solopreneur (by David Journeypreneur) • 19 implied HN points • 18 Jan 24
🕹 Technology Apps Tools Platforms Web
  1. Transitioning from web to app is crucial for businesses to enhance user engagement and expand reach.
  2. Various web-to-app converters offer unique features, pricing, and capabilities for app development.
  3. Leading platforms like WebToApp.app, Convertify, and Appilix provide excellent customer service, quick conversion, and user-friendly interfaces.

Understanding LLM User Experience & Expectation

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 18 Jan 24
🕹 Technology Natural Language Human-AI User Experience Research AI
  1. Most users engage with LLMs weekly and mainly use them for tasks like getting information and solving problems. It's a popular tool that people find helpful.
  2. Users expect LLMs to perform well in creative tasks too, but many are not satisfied with the results they get in this area. There’s room for better performance here.
  3. Understanding what users want from LLMs is key. This includes recognizing their different needs, like trust and capability in the tools, so improvements can be better targeted.