The original poster is seeking venture capital funds that prioritize ethical considerations alongside financial returns. They are specifically interested in funds that actively avoid investing in companies contributing to societal harms like environmental damage, exploitation, or addiction. They're looking for recommendations of VCs with a demonstrably strong commitment to ethical investing, potentially including impact investing funds or those with publicly stated ethical guidelines.
The original poster is seeking resources that have proven helpful for others in their game development journeys. They are specifically interested in recommendations beyond the typical beginner tutorials, hoping to find resources that have helped people move from intermediate to advanced skill levels. They're open to any type of resource, including books, courses, articles, communities, or tools, and are particularly interested in areas like game design, shaders/graphics programming, and AI.
The Hacker News comments on this "Ask HN" post offer a variety of resources for aspiring game developers. Several commenters emphasized the importance of starting small and finishing projects, recommending simple game jams and focusing on core mechanics before adding complexity. Specific resources mentioned include "Game Programming Patterns" by Robert Nystrom, Handmade Hero, and the Unity and Godot engines. A few suggested learning through decompilation or recreating classic games. Several cautioned against getting bogged down in engine choice or overly ambitious projects. The consensus seemed to be that practical experience, combined with targeted learning of core concepts, is the most effective path.
Bracket City is a daily online word puzzle that deconstructs the traditional crossword format. Instead of a grid, clues are presented in a bracket-style tournament, where players choose the correct answer from two options to advance. Each correct answer reveals letters that eventually combine to form the final solution word. This unique presentation adds a layer of strategy and deductive reasoning, as incorrect choices don't just leave a gap, but actively lead down the wrong path. The daily puzzle offers a fresh take on wordplay, challenging players to not just know the answers, but also to understand the relationships between them.
Hacker News users discussed the unusual format and difficulty of Bracket City. Several commenters found the puzzle too challenging, describing it as "obtuse" and expressing frustration with the lack of clear instructions or feedback. The unconventional grid and scoring system also drew criticism. Some users questioned the puzzle's description as a crossword, suggesting alternative classifications like a logic puzzle or code-breaking challenge. Despite the difficulty, some commenters expressed intrigue and a desire to understand the solving process better, with one suggesting a walkthrough or tutorial would be helpful. Others appreciated the novelty and different approach to puzzling, even if they found it personally too hard. The puzzle's creator responded to some comments, clarifying certain mechanics and acknowledging the steep learning curve.
This "Ask HN" thread from February 2025 invites Hacker News users to share their current projects. People are working on a diverse range of things, from AI-powered tools and SaaS products to hardware projects, open-source libraries, and personal learning endeavors. Projects mentioned include AI companions, developer tools, educational platforms, productivity apps, and creative projects like music and game development. Many contributors are focused on solving specific problems they've encountered, while others are exploring new technologies or building something just for fun. The thread offers a snapshot of the independent and entrepreneurial spirit of the HN community and the kinds of projects that capture their interest at the beginning of 2025.
The Hacker News comments on the "Ask HN: What are you working on? (February 2025)" thread showcase a diverse range of projects. Several commenters are focused on AI-related ventures, including personalized education tools, AI-powered code generation, and creative applications of large language models. Others are working on more traditional software projects like developer tools, mobile apps, and SaaS platforms. A recurring theme is the integration of AI into existing workflows and products. Some commenters discuss hardware projects, particularly in the areas of sustainable energy and personal fabrication. A few express skepticism about the overhyping of certain technologies, while others share personal projects driven by passion rather than commercial intent. The overall sentiment is one of active development and exploration across various technological domains.
The Hacker News post asks for recommendations of both photographers and artists creating work with generative code. The author is seeking inspiration and hoping to discover new artists working in these mediums, specifically highlighting an interest in those who push boundaries and create visually unique outputs. They are open to various forms of photography and generative art, from still images to animations and interactive experiences.
The Hacker News comments on this "Ask HN" post offer a variety of artist suggestions, ranging from well-known figures to lesser-known individuals. Several commenters recommend photographers like Saul Leiter, known for his street photography and use of color, and Vivian Maier, whose street photography was discovered posthumously. Others suggest generative artists like Refik Anadol, noted for his data sculptures and immersive installations, and Tyler Hobbs, known for his algorithmic art and explorations of randomness and control. Some commenters focus on specific niches, recommending artists working with AI, analog photography, or particular coding languages like Processing. A few commenters also share their own work or mention online platforms for discovering artists, like fxhash.
The author seeks a C-like language with modern features like generics, modules, and memory safety, while maintaining C's performance and close-to-the-metal nature. They desire a language suitable for systems programming, potentially as a replacement for C in performance-critical applications, but with the added benefits of contemporary language design. They are exploring if such a language already exists or whether retrofitting C would be a more viable approach. Essentially, they want the power and control of C without its inherent pitfalls and limitations.
The Hacker News comments discuss the practicality and potential benefits of a "retrofitted" C dialect, primarily focusing on memory safety. Some suggest exploring existing options like Zig, Rust, or Odin, which already address many of C's shortcomings. Others express skepticism about the feasibility of such a project, citing the complexity of C's ecosystem and the difficulty of maintaining compatibility while introducing significant changes. A few commenters propose specific improvements, such as optional garbage collection or stricter type checking, but acknowledge the challenges in implementation and adoption. There's a general agreement that memory safety is crucial, but opinions diverge on whether a new dialect or focusing on tooling and better practices within existing C is the best approach. Some also discuss the potential benefits for embedded systems, where C remains dominant.
Rust's presence in Hacker News job postings continues its upward trajectory, further solidifying its position as a sought-after language, particularly for backend and systems programming roles. While Python remains the most frequently mentioned language overall, its growth appears to have plateaued. C++ holds steady, maintaining a significant, though smaller, share of the job market compared to Python. The data suggests a continuing shift towards Rust for performance-critical applications, while Python retains its dominance in areas like data science and machine learning, with C++ remaining relevant for established performance-sensitive domains.
HN commenters discuss potential biases in the data, noting that Hacker News job postings may not represent the broader programming job market. Some point out that the prevalence of Rust, C++, and Python could be skewed by the types of companies that post on HN, likely those in specific tech niches. Others suggest the methodology of scraping only titles might misrepresent actual requirements, as job descriptions often list multiple languages. The limited timeframe of the analysis is also mentioned as a potential factor impacting the trends observed. A few commenters express skepticism about Rust's long-term trajectory, while others emphasize the importance of considering domain-specific needs when choosing a language.
A developer has created Threadsky, a Reddit-style client for the decentralized social media platform Bluesky. It organizes Bluesky content into threaded conversations similar to Reddit, offering features like nested replies, upvote/downvote buttons, and customizable feeds. The project is still in its early stages of development and the creator is actively seeking feedback and ideas for improvement. The aim is to provide a more familiar and organized browsing experience for Bluesky users, leveraging a popular forum structure.
HN commenters generally expressed interest in Threadsky, the Bluesky client showcased. Several appreciated the familiar Reddit-like interface and suggested improvements like keyboard navigation, infinite scrolling, and better integration with Bluesky's features like muting and blocking. Some questioned the longevity of Bluesky itself and the need for another client, while others encouraged the developer to add features like custom feeds and threaded replies. A few commenters shared alternative Bluesky clients they preferred, highlighting the emerging ecosystem around the platform. Overall, the reception was positive, with commenters offering constructive feedback and expressing curiosity about the project's future development.
ExpenseOwl is a straightforward, self-hosted expense tracking application built with Python and Flask. It allows users to easily input and categorize expenses, generate reports visualizing spending habits, and export data in CSV format. Designed for simplicity and privacy, ExpenseOwl stores data in a local SQLite database, offering a lightweight alternative to complex commercial expense trackers. It's easily deployable via Docker and provides a clean, user-friendly web interface for managing personal finances.
Hacker News users generally praised ExpenseOwl for its simplicity and self-hosted nature, aligning with the common desire for more control over personal data. Several commenters appreciated the clean UI and ease of use, while others suggested potential improvements like multi-user support, recurring transactions, and more detailed reporting/charting features. Some users questioned the choice of Python/Flask given the relatively simple functionality, suggesting lighter-weight alternatives might be more suitable. There was also discussion about the database choice (SQLite) and the potential limitations it might impose for larger datasets or more complex queries. A few commenters mentioned similar projects, offering alternative self-hosted expense tracking solutions for comparison.
This Hacker News post is a job seeker thread for February 2025. The original poster invites anyone looking for a new role to share their skills, experience, and desired job type, encouraging both full-time and contract positions. They also suggest including location preferences and salary expectations to help potential employers quickly assess fit. Essentially, it's a place for job seekers to advertise themselves directly to the Hacker News community.
The Hacker News comments on the "Ask HN: Who wants to be hired? (February 2025)" post express a mix of skepticism, humor, and genuine interest. Several commenters question the practicality of the post, pointing out the difficulty of predicting hiring needs so far in advance, especially given the rapidly changing tech landscape. Some joke about the unpredictability of the future, referencing potential societal collapses or technological advancements that could render the question moot. Others engage more seriously, discussing the types of skills they anticipate being in demand in 2025, such as AI expertise and cybersecurity. A few commenters express interest in specific roles or industries, while others simply offer their resumes or portfolios for consideration. Overall, the comments reflect the uncertainty of the future job market while also demonstrating a proactive approach to career planning.
The original poster asks how the prevalence of AI tools like ChatGPT is affecting technical interviews. They're curious if interviewers are changing their tactics to detect AI-generated answers, focusing more on system design or behavioral questions, or if the interview landscape remains largely unchanged. They're particularly interested in how companies are assessing problem-solving abilities now that candidates have easy access to AI assistance for coding challenges.
HN users discuss how AI is impacting the interview process. Several note that while candidates may use AI for initial preparation and even during technical interviews (for code generation or debugging), interviewers are adapting. Some are moving towards more project-based assessments or system design questions that are harder for AI to currently handle. Others are focusing on practical application and understanding, asking candidates to explain the reasoning behind AI-generated code or challenging them with unexpected twists. There's a consensus that simply regurgitating AI-generated answers won't suffice, and the ability to critically evaluate and adapt remains crucial. A few commenters also mentioned using AI tools themselves to create interview questions or evaluate candidate code, creating a sort of arms race. Overall, the feeling is that interviewing is evolving, but core skills like problem-solving and critical thinking are still paramount.
The Hacker News "Who is hiring?" trends reveal a consistent demand for software engineers, particularly back-end and full-stack developers. Remote work remains prevalent, with many companies embracing fully distributed teams. While specific technologies fluctuate, Python, JavaScript/TypeScript, and React continue to be highly sought-after skills. Industries like AI/ML, DevOps, and security show increasing prominence, reflecting the evolving tech landscape. Overall, the job market depicted through these trends appears robust for skilled tech professionals, with an emphasis on adaptable and experienced individuals.
Hacker News commenters discuss the stagnation and decline of certain tech roles, particularly those related to web development and mobile. Several point out the oversaturation of these areas, contrasting it with the continued demand for specialized roles like embedded systems and hardware. Some commenters note the potential impact of AI, both in automating existing jobs and creating new, specialized AI-related roles. The increasing requirement for senior-level experience in many listings is also highlighted, with speculation about whether this reflects genuine need or simply a desire for experienced hires capable of immediate productivity. Finally, a few commenters lament the scarcity of remote opportunities outside the US, despite the purported rise of remote work.
Creating Augmented Reality (AR) experiences remains a complex and challenging process. The author, frustrated with the limitations of existing AR development tools, built their own visual editor called Ordinary. It aims to simplify the workflow for building location-based AR experiences by offering an intuitive interface for managing assets, defining interactions, and previewing the final product in real-time. Ordinary emphasizes collaborative editing, cloud-based project management, and a focus on location-anchored AR. The author believes this approach addresses the current pain points in AR development, making it more accessible and streamlined.
HN users generally praised the author's effort and agreed that AR development remains challenging, particularly with existing tools like Unity and RealityKit being cumbersome or limited. Several commenters highlighted the difficulty of previewing AR experiences during development, echoing the author's frustration. Some suggested exploring alternative libraries and frameworks like Godot or WebXR. The discussion also touched on the niche nature of specialized AR hardware and the potential benefits of web-based AR solutions. A few users questioned the project's long-term viability, citing the potential for Apple or another large player to release similar tools. Despite the challenges, the overall sentiment leaned towards encouragement for the author and acknowledgement of the need for better AR development tools.
Bagels is a terminal-based expense tracker written in Python. It provides a simple text-based user interface (TUI) for recording and viewing expenses, allowing users to add transactions with descriptions, amounts, and categories. Bagels emphasizes ease of use and speed, offering features like auto-completion and quick keyboard navigation. It also supports exporting data to CSV for further analysis or use in other tools.
HN users generally praised Bagels for its simplicity and use of a text-based interface. Several commenters appreciated the developer's focus on a straightforward, easy-to-use tool that avoids unnecessary complexity. Some suggested potential improvements, like adding support for budgeting or different currencies. One user highlighted the benefit of plain text data storage for easy backups and portability. The project's reliance on Python and the textual TUI framework also drew positive remarks. A few questioned the long-term viability of the project and suggested exploring alternatives like Ledger.
The author announced the acquisition of their bootstrapped SaaS startup, Refind, by Readwise. After five years of profitable growth and serving thousands of paying users, they decided to join forces with Readwise to accelerate development and reach a wider audience. They expressed gratitude to the Hacker News community for their support and feedback throughout Refind's journey, highlighting how the platform played a crucial role in their initial user acquisition and growth. The author is excited about the future and the opportunity to continue building valuable tools for learners with the Readwise team.
The Hacker News comments on the "Thank HN" acquisition post are overwhelmingly positive and congratulatory. Several commenters inquire about the startup's niche and journey, expressing genuine curiosity and admiration for the bootstrapped success. Some offer advice for navigating the acquisition process, while others share their own experiences with acquisitions, both positive and negative. A few highlight the importance of celebrating such wins within the startup community, offering encouragement to other founders. The most compelling comments offer practical advice stemming from personal experience, like negotiating earn-outs and retaining key employees. There's a general sense of shared excitement and goodwill throughout the thread.
Libmodulor is a TypeScript library designed for building cross-platform applications with a strong focus on developer experience and maintainability. It leverages a modular architecture, promoting code reuse and separation of concerns through features like dependency injection, a unified event bus, and lifecycle management. The library aims to simplify complex application logic by providing built-in solutions for common tasks such as state management, routing, and API interactions, allowing developers to focus on building features rather than boilerplate. While opinionated in its structure, libmodulor offers flexibility in choosing UI frameworks and targets web, desktop, and mobile platforms.
HN commenters generally express skepticism about the value proposition of libmodulor, particularly regarding its use of TypeScript and perceived over-engineering. Several question the necessity of such a library for simple projects, arguing that vanilla HTML, CSS, and JavaScript are sufficient. Some doubt the touted "multi-platform" capabilities, suggesting it's merely a web framework repackaged. Others criticize the project's apparent complexity and lack of clear advantages over established solutions like React Native or Flutter. The focus on server components and the use of RPC are also questioned, with commenters pointing to potential performance drawbacks. A few express interest in specific aspects, such as the server-driven UI approach and the developer experience, but overall sentiment leans towards cautious skepticism.
The author created a system using the open-source large language model, Ollama, to automatically respond to SMS spam messages. Instead of simply blocking the spam, the system engages the spammers in extended, nonsensical, and often humorous conversations generated by the LLM, wasting their time and resources. The goal is to make SMS spam less profitable by increasing the cost of sending messages, ultimately discouraging spammers. The author details the setup process, which involves running Ollama locally, forwarding SMS messages to a server, and using a Python script to interface with the LLM and send replies.
HN users generally praised the project for its creativity and humor. Several commenters shared their own experiences with SMS spam, expressing frustration and a desire for effective countermeasures. Some discussed the ethical implications of engaging with spammers, even with an LLM, and the potential for abuse or unintended consequences. Technical discussion centered around the cost-effectiveness of running such a system, with some suggesting optimizations or alternative approaches like using a less resource-intensive LLM. Others expressed interest in expanding the project to handle different types of spam or integrating it with existing spam-filtering tools. A few users also pointed out potential legal issues, like violating telephone consumer protection laws, depending on the nature of the responses generated by the LLM.
The Hacker News post asks if anyone is working on interesting projects using small language models (LLMs). The author is curious about applications beyond the typical large language model use cases, specifically focusing on smaller, more resource-efficient models that could run on personal devices. They are interested in exploring the potential of these compact LLMs for tasks like personal assistants, offline use, and embedded systems, highlighting the benefits of reduced latency, increased privacy, and lower operational costs.
HN users discuss various applications of small language models (SLMs). Several highlight the benefits of SLMs for on-device processing, citing improved privacy, reduced latency, and offline functionality. Specific use cases mentioned include grammar and style checking, code generation within specialized domains, personalized chatbots, and information retrieval from personal documents. Some users point to quantized models and efficient architectures like llama.cpp as enabling technologies. Others caution that while promising, SLMs still face limitations in performance compared to larger models, particularly in tasks requiring complex reasoning or broad knowledge. There's a general sense of optimism about the potential of SLMs, with several users expressing interest in exploring and contributing to this field.
The author trained a YOLOv5 model to detect office chairs in a dataset of 40 million hotel room photos, aiming to identify properties suitable for "bleisure" (business + leisure) travelers. They achieved reasonable accuracy and performance despite the challenges of diverse chair styles and image quality. The model's output is a percentage indicating the likelihood of an office chair's presence, offering a quick way to filter a vast image database for hotels catering to digital nomads and business travelers. This project demonstrates a practical application of object detection for a specific niche market within the hospitality industry.
Hacker News users discussed the practical applications and limitations of using YOLO to detect office chairs in hotel photos. Some questioned the business value, wondering how chair detection translates to actionable insights for hotels. Others pointed out potential issues with YOLO's accuracy, particularly with diverse chair designs and varying image quality. The computational cost and resource intensity of processing such a large dataset were also highlighted. A few commenters suggested alternative approaches, like crowdsourcing or using pre-trained models specifically designed for furniture detection. There was also a brief discussion about the ethical implications of analyzing hotel photos without explicit consent.
The original poster is exploring alternative company structures, specifically cooperatives (co-ops), for a SaaS business and seeking others' experiences with this model. They're interested in understanding the practicalities, benefits, and drawbacks of running a SaaS as a co-op, particularly concerning attracting investment, distributing profits, and maintaining developer motivation. They wonder if the inherent democratic nature of co-ops might hinder rapid decision-making, a crucial aspect of the competitive SaaS landscape. Essentially, they're questioning whether the co-op model is compatible with the demands of building and scaling a successful SaaS company.
Several commenters on the Hacker News thread discuss their experiences with or thoughts on alternative company models for SaaS, particularly co-ops. Some express skepticism about the scalability of co-ops for SaaS due to the capital-intensive nature of the business and the potential difficulty in attracting and retaining top talent without competitive salaries and equity. Others share examples of successful co-ops, highlighting the benefits of shared ownership, democratic decision-making, and profit-sharing. A few commenters suggest hybrid models, combining aspects of co-ops with traditional structures to balance the need for both stability and shared benefits. Some also point out the importance of clearly defining roles and responsibilities within a co-op to avoid common pitfalls. Finally, several comments emphasize the crucial role of shared values and a strong commitment to the co-op model for long-term success.
Artemis is a web reader designed for a calmer online reading experience. It transforms cluttered web pages into clean, focused text, stripping away ads, sidebars, and other distractions. The tool offers customizable fonts, spacing, and color themes, prioritizing readability and a distraction-free environment. It aims to reclaim the simple pleasure of reading online by presenting content in a clean, book-like format directly in your browser.
Hacker News users generally praised Artemis, calling it "clean," "nice," and "pleasant." Several appreciated its minimalist design and focus on readability. Some suggested improvements, including options for custom fonts, adjustable line height, and a dark mode. One commenter noted its similarity to existing reader-mode browser extensions, while others highlighted its benefit as a standalone tool for a distraction-free reading experience. The discussion also touched on technical aspects, with users inquiring about the framework used (SolidJS) and suggesting potential features like Pocket integration and an API for self-hosting. A few users expressed skepticism about the project's longevity and the practicality of a dedicated reader app.
Summary of Comments ( 23 )
https://news.ycombinator.com/item?id=43183450
The Hacker News comments on "Ask HN: Ethical VC Funds?" express skepticism about the existence of truly "ethical" VCs. Many commenters argue that the fundamental nature of venture capital, which seeks maximum returns, is inherently at odds with ethical considerations. Some suggest that impact investing might be a closer fit for the OP's goals, while others point out the difficulty of defining "ethical" in a universally accepted way. Several commenters mention specific funds or strategies that incorporate ESG (Environmental, Social, and Governance) factors, but acknowledge that these are often more about risk mitigation and public image than genuine ethical concerns. A few commenters offer more cynical takes, suggesting that "ethical VC" is primarily a marketing tactic. Overall, the consensus leans towards pragmatism, with many suggesting the OP focus on finding VCs whose values align with their own, rather than searching for a mythical perfectly ethical fund.
The Hacker News post "Ask HN: Ethical VC Funds?" generated a moderate number of comments discussing the complexities and challenges of defining and finding "ethical" venture capital funds. Several commenters expressed skepticism about the existence of truly ethical VC funds, arguing that the fundamental nature of venture capital, which is to maximize returns, often conflicts with ethical considerations.
One compelling argument highlighted the inherent tension between profit maximization and ethical behavior. Commenters pointed out that VCs are primarily beholden to their limited partners (LPs), who expect high returns on their investments. This pressure to deliver profits can lead VCs to prioritize growth and financial success over potentially ethical concerns, such as labor practices, environmental impact, or societal consequences of the businesses they fund. Some commenters argued that even if a VC fund claims to be ethical, the underlying drive for profit ultimately compromises their ethical stance.
Another recurring theme in the comments was the difficulty of defining "ethical" in the context of venture capital. What one person considers ethical, another might not. Some commenters suggested that ethical investing could encompass various factors, including environmental, social, and governance (ESG) criteria, impact investing, or avoiding investments in certain industries like weapons, gambling, or tobacco. However, there was no consensus on a universal definition of ethical VC, making it challenging for investors to identify funds that align with their specific values.
Several commenters also discussed the potential for "greenwashing," where VC funds might market themselves as ethical without genuinely adhering to ethical principles. This skepticism underscored the need for greater transparency and accountability in the VC industry. Some users suggested that truly ethical VCs should be transparent about their investment criteria, portfolio companies, and the impact of their investments.
While some commenters expressed pessimism about the possibility of truly ethical VC, others offered more optimistic perspectives. They suggested looking for funds that explicitly prioritize ESG factors, engage in impact investing, or focus on specific areas like renewable energy or social enterprises. Some users also emphasized the importance of due diligence and researching the VC firm's values and track record before investing.
Finally, a few commenters mentioned specific VC funds perceived as having a more ethical approach, although these suggestions were often accompanied by caveats and disclaimers. The overall sentiment in the comments reflected the ongoing debate and evolving understanding of what constitutes ethical investing in the venture capital world. It highlighted the need for more robust criteria, greater transparency, and a continued conversation around the intersection of profit and ethics in the VC industry.