Whatsit.today is a new word guessing game where players try to decipher a hidden five-letter word by submitting guesses. Feedback is provided after each guess, revealing which letters are correct and if they are in the correct position within the word. The game offers a daily puzzle and the opportunity for unlimited practice. The creator is seeking feedback on their project.
C3 is a new programming language designed as a modern alternative to C. It aims to be safer and easier to use while maintaining C's performance and low-level control. Key features include optional memory safety through compile-time checks and garbage collection, improved syntax and error messages, and built-in modularity. The project is actively under development and includes a self-hosting compiler written in C3. The goal is to provide a practical language for systems programming and other performance-sensitive domains while mitigating common C pitfalls.
HN users discuss C3's goals and features, expressing both interest and skepticism. Several question the need for another C-like language, especially given the continued development of C and C++. Some appreciate the focus on safety and preventing common C errors, while others find the changes too drastic a departure from C's philosophy. There's debate about the practicality of automatic memory management in systems programming, and some concern over the runtime overhead it might introduce. The project's early stage is noted, and some express reservations about its long-term viability and community adoption. Others are more optimistic, praising the clear documentation and expressing interest in following its progress. The use of Python for the compiler is also a point of discussion.
Tom Howard, known as "tomhow" on Hacker News, announced he's officially a public moderator for the site. He aims to improve communication and transparency around moderation decisions, particularly regarding controversial topics that often lead to misunderstandings. He intends to be more present in comment sections, explaining the reasoning behind actions taken by moderators. This move towards more open moderation is hoped to foster better understanding and trust within the Hacker News community.
The Hacker News comments on the "Tell HN: Announcing tomhow as a public moderator" post express skepticism and concern about the announcement. Several commenters question the need for a publicly identified moderator and worry about the potential for increased targeting and harassment. Some suggest it goes against the spirit of anonymous moderation, potentially chilling open discussion. Others see it as a positive step towards transparency, hoping it might improve moderation consistency and accountability. There's also debate on whether this signifies a shift towards more centralized control over Hacker News. Overall, the sentiment leans towards cautious negativity, with many commenters expressing doubt about the long-term benefits of this change.
lharries has created and shared a minimal, command-line based WhatsApp server implementation written in Go. This server, dubbed "whatsapp-mcp," implements the WhatsApp Multi-Device Capability (MCP) protocol, allowing users to connect and interact with WhatsApp from their own custom client applications or potentially integrate it with other systems. The project is described as experimental and aims to provide a foundation for others to build upon or explore the inner workings of WhatsApp's multi-device architecture.
Hacker News users discussed the potential security and privacy implications of running a custom WhatsApp server. Some expressed concerns about the complexity and potential vulnerabilities introduced by deviating from the official WhatsApp infrastructure, particularly regarding end-to-end encryption. Others questioned the practicality and legality of using such a server. Several commenters were curious about the project's motivations and specific use cases, wondering if it was intended for legitimate purposes like testing or research, or for more dubious activities like bypassing WhatsApp's limitations or accessing user data. The lack of clarity on the project's goals and the potential risks involved led to a generally cautious reception.
Feudle is a daily word puzzle game inspired by Family Feud. Players guess the most popular answers to a given prompt, with an AI model providing the top responses based on survey data. The goal is to find all the hidden answers within six guesses, earning more points for uncovering the most popular responses. Each day brings a fresh prompt and a new challenge.
HN commenters discuss Feudle, a daily word puzzle game using AI. Some express skepticism about the claimed AI integration, questioning its actual impact on gameplay and suggesting it's primarily a marketing buzzword. Others find the game enjoyable, praising its simple but engaging mechanics. A few commenters offer constructive criticism, suggesting improvements like allowing multiple guesses and providing clearer feedback on incorrect answers. Several note the similarity to other word games, particularly Wordle, with some debating the merits of Feudle's unique "feud" theme. The lack of open-source code is also mentioned, raising questions about the transparency of the AI implementation.
EnkiTask is a lightweight project management tool designed specifically for freelancers. It focuses on simplicity and ease of use, offering essential features like task management, time tracking, and invoicing, all within a clean and intuitive interface. The goal is to help freelancers stay organized, manage their time effectively, and streamline their billing process without the complexity of larger project management platforms. It aims to be a central hub for managing all aspects of freelance work.
HN users generally found EnkiTask's simplicity and focus on freelancers appealing. Several commenters praised the clean UI and ease of use, suggesting it's a good alternative to more complex project management tools. Some expressed interest in specific features like time tracking and invoicing, while others requested integrations with existing tools like Google Calendar. A few users compared it favorably to Notion, highlighting its dedicated project management features as a key advantage. There was also a discussion around pricing and the potential for a free tier, with some users expressing willingness to pay for the service.
My-yt is a personalized YouTube frontend built using yt-dlp. It offers a cleaner, ad-free viewing experience by fetching video information and streams directly via yt-dlp, bypassing the standard YouTube interface. The project aims to provide more control over the viewing experience, including features like customizable playlists and a focus on privacy. It's a self-hosted solution intended for personal use.
Hacker News users generally praised the project for its clean interface and ad-free experience, viewing it as a superior alternative to the official YouTube frontend. Several commenters appreciated the developer's commitment to keeping the project lightweight and performant. Some discussion revolved around alternative frontends and approaches, including Invidious and Piped, with comparisons of features and ease of self-hosting. A few users expressed concerns about the project's long-term viability due to YouTube's potential API changes, while others suggested incorporating features like SponsorBlock. The overall sentiment was positive, with many expressing interest in trying out or contributing to the project.
Seven39 is a new social media app designed to combat endless scrolling and promote more present, real-life interactions. It's only active for a 3-hour window each evening, from 7pm to 10pm local time. This limited availability encourages users to engage more intentionally during that specific timeframe and then disconnect to focus on other activities. The app aims to foster a sense of community and shared experience by having everyone online simultaneously within their respective time zones.
HN users generally reacted with skepticism and confusion towards Seven39. Many questioned the limited 3-hour window, finding it restrictive and impractical for building a genuine community. Some speculated it was a gimmick, while others wondered about its purpose or target demographic. The feasibility of scaling with such a limited timeframe was also a concern. Several commenters pointed out that the inherent scarcity might artificially inflate engagement initially, but ultimately wouldn't be sustainable. There was also a discussion about alternatives like Discord or group chats for achieving similar goals without the time constraints.
The Hacker News post asks for insider perspectives on Yann LeCun's criticism of current deep learning architectures, particularly his advocacy for moving beyond systems trained solely on pattern recognition. LeCun argues that these systems lack fundamental capabilities like reasoning, planning, and common sense, and believes a paradigm shift is necessary to achieve true artificial intelligence. The post author wonders about the internal discussions and research directions within organizations like Meta/FAIR, influenced by LeCun's views, and whether there's a disconnect between his public statements and the practical work being done.
The Hacker News comments on Yann LeCun's push against current architectures are largely speculative, lacking insider information. Several commenters discuss the potential of LeCun's "autonomous machine intelligence" approach and his criticisms of current deep learning methods, with some agreeing that current architectures struggle with reasoning and common sense. Others express skepticism or downplay the significance of LeCun's position, pointing to the success of current models in specific domains. There's a recurring theme of questioning whether LeCun's proposed solutions are substantially different from existing research or if they are simply rebranded. A few commenters offer alternative perspectives, such as the importance of embodied cognition and the potential of hierarchical temporal memory. Overall, the discussion reflects the ongoing debate within the AI community about the future direction of the field, with LeCun's views being a significant, but not universally accepted, contribution.
Daale.club is a simple web app delivering a daily dose of Pitbull wisdom. It pulls a random lyric from Pitbull's extensive discography and presents it on a clean, minimalist webpage, offering a moment of Mr. Worldwide's unique brand of inspiration each day. The app aims to provide a lighthearted start to the day or a quick motivational boost with a touch of humor.
HN commenters generally found the "Mr. Worldwide Wisdom" app amusing and well-executed. Several praised its simplicity and the surprising effectiveness of randomly pairing Pitbull lyrics with stock photos. Some suggested improvements, like adding a share button or integrating more Pitbull content, such as music videos or interviews. A few users expressed confusion about the purpose or value, questioning whether it was intended as satire. Others debated the actual wisdom or lack thereof in Pitbull's lyrics, with some arguing for his underlying positivity and others finding it superficial. The overall sentiment was lighthearted appreciation for a fun, quirky project.
Leaflet.pub is a web application designed for creating and sharing interactive, media-rich documents. Users can embed various content types, including maps, charts, 3D models, and videos, directly within their documents. These documents are easily shareable via a public URL and offer a flexible layout that adapts to different screen sizes. The platform aims to be a user-friendly alternative to traditional document creation tools, allowing anyone to build engaging presentations or reports without requiring coding skills.
The Hacker News comments on Leaflet.pub are generally positive and inquisitive. Several users praise the clean UI and ease of use, particularly for quickly creating visually appealing documents. Some express interest in specific features like LaTeX support, collaborative editing, and the ability to export to different formats. Questions arise regarding the underlying technology, licensing, and long-term sustainability of the project. A few users compare Leaflet.pub to similar tools like Notion and HackMD, discussing potential advantages and disadvantages. There's a clear interest in the project's future development and its potential as a versatile document creation tool.
A reinforcement learning (RL) agent, dubbed PokeZero, successfully completed Pokémon Red using a surprisingly small model with under 10 million parameters. The agent learned to play by directly interacting with the game through pixel input and employing a novel reward system incorporating both winning battles and progressing through the game's narrative. This approach, combined with a relatively small model size, differentiates PokeZero from prior attempts at solving Pokémon with RL, which often relied on larger models or game-specific abstractions. The project demonstrates the efficacy of carefully designed reward functions and efficient model architectures in applying RL to complex game environments.
HN commenters were generally impressed with the small model size achieving victory in Pokemon Red. Several discussed the challenges of the game environment for RL, such as sparse rewards and complex state spaces. Some questioned the novelty, pointing to prior work using genetic algorithms and other RL approaches in Pokemon. Others debated the definition of "solving" the game, considering factors like exploiting glitches versus legitimate gameplay. A few commenters offered suggestions for future work, including training against human opponents, applying the techniques to other Pokemon games, or exploring different RL algorithms. One commenter even provided a link to a similar project they had undertaken. Overall, the project was well-received, though some expressed skepticism about its broader implications.
A developer created a web-based simulator that recreates the experience of using a telegraph. The simulator allows users to input a message, which is then converted into Morse code and visually transmitted as flashing lights and audible clicks, mimicking the original technology. It also features a receiver that decodes the transmitted Morse code back into text. This project provides a hands-on way to understand and interact with the historical process of telegraphic communication.
Hacker News users generally praised the Telegraph simulator for its simplicity, clean design, and accurate recreation of the Telegraph experience. Several commenters appreciated the nostalgia it evoked, recalling childhood memories of playing with similar toys. Some suggested improvements, such as adding sound or the ability to send messages between two simulated devices. A few users discussed the historical significance of the Telegraph and its role in communication technology. One commenter even shared a personal anecdote about their grandfather's career as a telegraph operator. The overall sentiment was positive, with many finding the project a charming and educational homage to a bygone era of communication.
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 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.
Electro is a fast, open-source image viewer built for Windows using Rust and Tauri. It prioritizes speed and efficiency, offering a minimal UI with features like zooming, panning, and fullscreen mode. Uniquely, Electro integrates a terminal directly into the application, allowing users to execute commands and scripts related to the currently viewed image without leaving the viewer. This combination aims to provide a streamlined workflow for tasks involving image manipulation or analysis.
HN users generally praised Electro's speed and minimalist design, comparing it favorably to existing image viewers like XnView and IrfanView. Some expressed interest in features like lossless image rotation, better GIF support, and a more robust file browser. A few users questioned the choice of Electron as a framework, citing potential performance overhead, while others suggested alternative technologies. The developer responded to several comments, addressing questions and acknowledging feature requests, indicating active development and responsiveness to user feedback. There was also some discussion about licensing and the possibility of open-sourcing the project in the future.
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.
Txeo is a modern C++ wrapper for TensorFlow designed to simplify the integration of TensorFlow models into C++ applications. It offers a more intuitive and type-safe interface compared to the official C++ API, leveraging modern C++ features like smart pointers and RAII. Txeo handles tensor memory management automatically, reducing the risk of memory leaks and simplifying the code. The library aims to be header-only for easy inclusion and provides helper functions for common tasks like loading models and running inference. Its primary goal is to make TensorFlow in C++ feel more natural for C++ developers.
HN users generally expressed interest in Txeo, praising its modern C++ approach and potential for simplifying TensorFlow integration. Several commenters questioned the long-term viability given TensorFlow's evolving C++ API and the existing landscape of similar projects. Performance comparisons with other libraries like libtorch were requested, along with clarification on licensing and specific use cases where Txeo shines. The lack of clear documentation and examples beyond image classification was also noted as a barrier to wider adoption. Some skepticism revolved around the practical benefits over using the TensorFlow C++ API directly, particularly given its perceived complexity. There was also a brief discussion about Python's dominance in the ML ecosystem and whether a C++ wrapper truly addresses a significant need.
The Hacker News post showcases an AI-powered voice agent designed to manage Gmail. This agent, accessed through a dedicated web interface, allows users to interact with their inbox conversationally, using voice commands to perform actions like reading emails, composing replies, archiving, and searching. The goal is to provide a hands-free, more efficient way to handle email, particularly beneficial for multitasking or accessibility.
Hacker News users generally expressed skepticism and concerns about privacy regarding the AI voice agent for Gmail. Several commenters questioned the value proposition, wondering why voice control would be preferable to existing keyboard shortcuts and features within Gmail. The potential for errors and the need for precise language when dealing with email were also highlighted as drawbacks. Some users expressed discomfort with granting access to their email data, and the closed-source nature of the project further amplified these privacy worries. The lack of a clear explanation of the underlying AI technology also drew criticism. There was some interest in the technical implementation, but overall, the reception was cautious, with many commenters viewing the project as potentially more trouble than it's worth.
Mastra, an open-source JavaScript agent framework developed by the creators of Gatsby, simplifies building, running, and managing autonomous agents. It offers a structured approach to agent development, providing tools for defining agent behaviors, managing prompts, orchestrating complex workflows, and integrating with various LLMs and vector databases. Mastra aims to be the "React for Agents," offering a declarative and composable way to construct agents similar to how React simplifies UI development. The framework is designed to be extensible and adaptable to different use cases, facilitating the creation of sophisticated and scalable agent-based applications.
Hacker News users discussed Mastra's potential, comparing it to existing agent frameworks like LangChain. Some expressed excitement about its JavaScript foundation and ease of use, particularly for frontend developers. Concerns were raised about the project's early stage and potential overlap with LangChain's functionality. Several commenters questioned Mastra's specific advantages and whether it offered enough novelty to justify a separate framework. There was also interest in the framework's ability to manage complex agent workflows and its potential applications beyond simple chatbot interactions.
LangTurbo offers a new approach to language learning by focusing on rapid vocabulary acquisition. It uses spaced repetition and personalized learning paths to help users quickly learn the most frequent words and phrases in a target language. The platform features interactive exercises, progress tracking, and aims to make language learning faster and more efficient than traditional methods. It emphasizes practical communication skills, promising to equip learners with the vocabulary needed for everyday conversations and basic fluency.
HN users discuss LangTurbo, a language learning platform incorporating AI. Several commenters express skepticism about the claimed efficacy of AI in language learning, particularly regarding pronunciation correction and personalized feedback. Some find the pricing concerning, especially for users outside the US. Others question the platform's novelty, comparing it to existing tools like Duolingo and Anki. A few express interest in trying the platform but remain cautious, desiring more evidence of its effectiveness beyond marketing claims. Overall, the reception is mixed, with a prevalent theme of cautious curiosity tempered by skepticism about AI's role in language acquisition.
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.
Uscope is a new, from-scratch debugger for Linux written in C and Python. It aims to be a modern, user-friendly alternative to GDB, boasting a simpler, more intuitive command language and interface. Key features include reverse debugging capabilities, a TUI interface with mouse support, and integration with Python scripting for extended functionality. The project is currently under active development and welcomes contributions.
Hacker News users generally expressed interest in Uscope, praising its clean UI and the ambition of building a debugger from scratch. Several commenters questioned the practical need for a new debugger given existing robust options like GDB, LLDB, and Delve, wondering about Uscope's potential advantages. Some discussed the challenges of debugger development, highlighting the complexities of DWARF parsing and platform compatibility. A few users suggested integrations with other tools, like REPLs, and requested features like remote debugging. The novelty of a fresh approach to debugging generated curiosity, but skepticism regarding long-term viability and differentiation also emerged. Some expressed concerns about feature parity with existing debuggers and the sustainability of the project.
NextRead (nextread.info) is a simple web tool designed to help users find their next book. It presents a sortable and filterable table comparing popular book recommendations from various sources like Goodreads, Bill Gates, and Barack Obama. This allows readers to quickly see commonalities across lists, identify highly-recommended titles, and filter by criteria like genre, author, or publication year to refine their search and discover new reads based on trusted sources.
HN users generally praised the simplicity and usefulness of the book comparison tool. Several suggested improvements, such as adding Goodreads integration, allowing users to import their own lists, and including more metadata like page count and publication date. Some questioned the reliance on Amazon, desiring alternative sources. The discussion also touched on the subjectivity of book recommendations and the difficulty of quantifying "similarity" between books. A few users shared their personal book recommendation methods, contrasting them with the tool's approach. The creator responded to many comments, acknowledging the suggestions and explaining some design choices.
Meelo is a self-hosted music server designed for serious music collectors and enthusiasts. It focuses on efficient management of large music libraries, providing features like fast search, flexible tagging (including custom tags), playlist creation, and a clean, responsive web interface. Built with Rust and using SQLite, Meelo emphasizes performance and stability while remaining lightweight and easy to deploy. It aims to offer a user-friendly experience for organizing and enjoying extensive music collections, prioritizing local playback over streaming.
HN users generally praised Meelo's interface and feature set, particularly appreciating its support for large libraries, advanced tagging, and playlist management. Some questioned the choice of Go and SvelteKit, suggesting alternatives like Rust and SolidJS for performance and ease of development. Others requested features like collaborative playlists, transcoding, and mobile apps. There was some concern about the project's longevity and the potential burden of maintenance for a solo developer. A few commenters expressed interest in contributing. Overall, the reception was positive, with many users eager to try Meelo or follow its development.
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.
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.
NotepadJS is a cross-platform, open-source text editor inspired by the simplicity of Windows Notepad. Built with web technologies (HTML, CSS, and JavaScript) using Electron, it aims to provide a lightweight and distraction-free writing experience across different operating systems. It supports essential features like basic text editing, find and replace, customizable themes, and automatic file saving, while intentionally avoiding more complex functionalities found in full-fledged code editors. The project focuses on maintaining a clean and minimal interface, prioritizing speed and ease of use for quick note-taking and text manipulation.
Hacker News users generally praised NotepadJS for its simplicity and cross-platform compatibility, viewing it as a welcome alternative to Electron-based text editors. Some appreciated its small size and speed, while others suggested potential improvements like syntax highlighting, tabbed interfaces, and mobile support. A few commenters pointed out existing similar projects like Lite XL and discussed the merits of using Tauri versus Electron for such applications. The developer's choice of using vanilla JavaScript also garnered positive feedback. Some expressed nostalgia for simpler text editors and lauded the project for fulfilling a specific need for a lightweight, no-frills notepad application.
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.
Summary of Comments ( 216 )
https://news.ycombinator.com/item?id=43593789
HN users generally praised the simple, clean design and addictive gameplay of the word game. Several suggested improvements, such as a dark mode, a way to see definitions, and a larger word list. Some questioned the scoring system and offered alternative methods. A few pointed out similar existing games, and others offered encouragement for further development and monetization strategies. One commenter appreciated the creator's humility in presenting the game and mentioned their own mother's enjoyment of simple word games, creating a sense of camaraderie. The overall sentiment was positive and supportive.
The Hacker News post, "Show HN: I built a word game. My mom thinks it's great. What do you think?", generated several comments offering feedback and discussion.
Many commenters were supportive and encouraging of the creator, praising the game's simplicity and addictive nature. Some shared their personal experiences playing the game, noting how quickly time passed while engaged with it. A few users offered specific suggestions for improvements, like adding a timer or a competitive element with leaderboards. The "mom thinks it's great" part of the title also resonated with several commenters, who found it endearing and relatable.
Some commenters provided constructive criticism, such as addressing the mobile experience (specifically mentioning the keyboard popping up and covering the game). Others discussed the game's similarity to existing word games like Boggle and suggested ways to differentiate it further. There was also a technical discussion about the implementation details, including suggestions for using different frameworks or optimizing the code. One commenter even delved into the algorithm used for word validation, offering potential enhancements.
A recurring theme in the comments was the importance of finding the right balance between simplicity and complexity. Some users appreciated the game's minimalist design, while others suggested adding features to enhance replayability. This sparked a conversation about the target audience and the potential for appealing to different player preferences.
Overall, the comments were a mix of positive feedback, constructive criticism, and technical discussions. The creator actively engaged with the commenters, responding to questions and acknowledging the suggestions. This interaction fostered a sense of community and contributed to a productive discussion about the game's potential.