Extend (YC W23) is hiring engineers to build their LLM-powered document processing platform. They're looking for frontend, backend, and full-stack engineers to work on features like data extraction, summarization, and search across various document types. The ideal candidate is excited about AI and developer tools and has experience building production-ready software. Extend offers competitive salary and equity, a remote-first environment, and the opportunity to shape the future of how businesses interact with documents.
Roam Research competitor, Roame, a Y Combinator-backed startup focused on networked thought, is seeking a Chief of Staff to directly support the CEO. This role involves a wide range of responsibilities, from investor relations and fundraising to strategic planning and special projects. Ideal candidates are highly organized, analytical, and excellent communicators with a strong interest in the future of knowledge management. This is a high-impact opportunity to join a fast-growing company at a crucial stage of its development.
Hacker News users reacted with skepticism to Roam Research's Chief of Staff job posting, questioning the need for such a role in a small startup (around 20 people). Several commenters viewed the position as potentially signaling dysfunction or a lack of clear organizational structure within the company. Some suggested the responsibilities listed were already part of a CEO's or other existing roles, while others speculated it might be a stepping stone to a more defined position. A few commenters, however, saw the listing as a legitimate need for support in a rapidly growing company, particularly given the complexities of Roam's product and market. The high salary offered also drew attention, with some questioning its justification.
Koko, a mental health service providing anonymous peer support and clinical care, is seeking a CTO/Lead Engineer. This role will be responsible for leading the engineering team, building and scaling the platform, and shaping the technical strategy. The ideal candidate has experience building and scaling consumer-facing products, managing engineering teams, and working with complex data pipelines and infrastructure. This is a crucial role with significant impact, joining a fast-growing company focused on making mental healthcare more accessible.
HN commenters discuss Koko's CTO search, expressing skepticism and concern about the apparent lack of technical leadership within the company, especially given its focus on mental health and reliance on AI. Some question the wisdom of seeking a CTO so late in the company's development, suggesting it points to scaling or architectural challenges. Others raise ethical concerns about the use of AI in mental health, particularly regarding data privacy and the potential for algorithmic bias. Several comments note the potentially high-pressure environment of a mental health startup and the need for a CTO with experience navigating complex ethical and technical landscapes. Finally, the relatively high equity offered (0.5-1%) is seen by some as a red flag, indicating potential instability or a lack of other experienced engineers.
Cenote, a Y Combinator-backed startup, launched a back-office automation platform specifically designed for medical clinics. It aims to streamline administrative tasks like prior authorizations, referrals, and eligibility checks, freeing up staff to focus on patient care. The platform integrates with existing electronic health record (EHR) systems and uses AI to automate repetitive processes, reducing manual data entry and potential errors. Cenote intends to help clinics improve efficiency, reduce costs, and enhance revenue cycle management.
The Hacker News comments express cautious optimism towards Cenote, praising its focus on automating back-office tasks for medical clinics, a traditionally underserved market. Several commenters point out the complexities and challenges within this space, including HIPAA compliance, intricate billing procedures, and the difficulty of integrating with existing, often outdated, systems. Some express concern about the startup's ability to navigate these hurdles, while others, particularly those with experience in the medical field, offer specific feedback and suggestions for features and integrations. There's also a discussion around the competitive landscape, with some questioning Cenote's differentiation from existing players. Overall, the sentiment is that if Cenote can successfully address these challenges, they have the potential to tap into a significant market opportunity.
Empirical Health, a YC-backed startup focused on reinventing primary care, is hiring design engineers. They're seeking engineers with a passion for healthcare and experience building user-friendly interfaces for complex systems. These engineers will play a crucial role in designing and developing the company's core product, a technology platform aiming to streamline and improve the patient and physician experience within primary care. The ideal candidate is comfortable working in a fast-paced startup environment and eager to contribute to a mission-driven company.
Hacker News users discussed the Empirical Health job posting, focusing on the disconnect between the advertised "Design Engineer" role and the seemingly pure software engineering requirements listed. Several commenters questioned the use of "design" in the title, suspecting it was simply a trendy buzzword to attract talent. Others debated the actual meaning of "Design Engineer" in different contexts, with some suggesting it implied a focus on user experience and product design while others interpreted it as a more systems-oriented role involving architecture and implementation. Some users expressed skepticism about the company's approach to healthcare, while others were more optimistic. A few commenters also discussed the compensation and benefits offered.
Enhanced Radar, a YC W25 startup, is launching a supplementary air traffic control system designed to prevent near-mid-air collisions (NMACs). Using existing ADS-B data and proprietary algorithms, it provides real-time alerts to controllers and pilots about potential conflicts, even in challenging weather conditions like heavy fog or at night. The system aims to act as a safety net for traditional radar by offering increased situational awareness and reducing controller workload, ultimately contributing to safer skies.
HN users discuss Enhanced Radar's potential, expressing concerns about regulatory hurdles and integration with existing systems. Some question the startup's claims of 100x improvement, emphasizing the complexity of air traffic control and the rigorous safety standards required. Others see value in the proposed technology, especially for smaller aircraft and in areas with less sophisticated radar coverage. The discussion also touches upon the challenges of disrupting established industries like aviation, with comparisons made to previous attempts at innovation in the sector. Several commenters inquire about the specific technology used and the startup's business model.
Foundry, a YC-backed startup, is seeking a founding engineer to build a massive web crawler. This engineer will be instrumental in designing and implementing a highly scalable and robust crawling infrastructure, tackling challenges like data extraction, parsing, and storage. Ideal candidates possess strong experience with distributed systems, web scraping technologies, and handling terabytes of data. This is a unique opportunity to shape the foundation of a company aiming to index and organize the internet's publicly accessible information.
Several commenters on Hacker News expressed skepticism and concern regarding the legality and ethics of building an "internet-scale web crawler." Some questioned the feasibility of respecting robots.txt and avoiding legal trouble while operating at such a large scale, suggesting the project would inevitably run afoul of website terms of service. Others discussed technical challenges, like handling rate limiting and the complexities of parsing diverse web content. A few commenters questioned Foundry's business model, speculating about potential uses for the scraped data and expressing unease about the potential for misuse. Some were interested in the technical challenges and saw the job as an intriguing opportunity. Finally, several commenters debated the definition of "internet-scale," with some arguing that truly crawling the entire internet is practically impossible.
Trellis is hiring engineers to build AI-powered tools specifically designed for working with PDFs. They aim to create the best AI agents for interacting with and manipulating PDF documents, streamlining tasks like data extraction, analysis, and form completion. The company is backed by Y Combinator and emphasizes a fast-paced, innovative environment.
HN commenters express skepticism about the feasibility of creating truly useful AI agents for PDFs, particularly given the varied and complex nature of PDF data. Some question the value proposition, suggesting existing tools and techniques already adequately address common PDF-related tasks. Others are concerned about potential hallucination issues and the difficulty of verifying AI-generated output derived from PDFs. However, some commenters express interest in the potential applications, particularly in niche areas like legal or financial document analysis, if accuracy and reliability can be assured. The discussion also touches on the technical challenges involved, including OCR limitations and the need for robust semantic understanding of document content. Several commenters mention alternative approaches, like vector databases, as potentially more suitable for this problem domain.
Cuckoo, a Y Combinator (W25) startup, has launched a real-time AI translation tool designed to facilitate communication within global teams. It offers voice and text translation, transcription, and noise cancellation features, aiming to create a seamless meeting experience for participants speaking different languages. The tool integrates with existing video conferencing platforms and provides a collaborative workspace for notes and translated transcripts.
The Hacker News comments section for Cuckoo, a real-time AI translator, expresses cautious optimism mixed with pragmatic concerns. Several users question the claimed "real-time" capability, pointing out the inherent latency issues in both speech recognition and translation. Others express skepticism about the need for such a tool, suggesting existing solutions like Google Translate are sufficient for text-based communication, while voice communication often benefits from the nuances lost in translation. Some commenters highlight the difficulty of accurately translating technical jargon and culturally specific idioms. A few offer practical suggestions, such as focusing on specific industries or integrating with existing communication platforms. Overall, the sentiment leans towards a "wait-and-see" approach, acknowledging the potential while remaining dubious about the execution and actual market demand.
Fintoc, a YC-backed fintech startup simplifying financial data access in Latin America, is seeking a Senior Software Engineer. They offer the unique opportunity to live rent-free in either Santiago, Chile or Mexico City, while contributing to a fast-growing company. The role involves designing, building, and maintaining Fintoc's core API and SDKs, working with technologies like Python, Node.js, and Postgres. Ideal candidates possess strong backend development experience, a passion for fintech, and a desire to work in a dynamic, remote-friendly environment. Fintoc emphasizes a collaborative culture and provides competitive compensation and benefits alongside the covered housing perk.
HN commenters discuss Fintoc's offer of remote work in Chile or Mexico, with some expressing skepticism about the "rent-free" claim, suggesting it likely translates to a lower salary. Several highlight the importance of clarifying total compensation rather than focusing on a potentially misleading perk. Others question the long-term viability of such an arrangement, wondering if employees might be expected to relocate later. Some commenters note the appeal of Latin America for remote work due to the lower cost of living and vibrant culture. A few express interest in the position, while others share concerns about potential tax implications for US citizens working abroad. Overall, the comments reflect a cautious optimism tempered by a desire for more transparency regarding the compensation package.
Distro, a Y Combinator (S24) startup building tools to streamline software distribution and updates, is seeking a Marketing Lead in Palo Alto. This role will own and execute Distro's marketing strategy, focusing on content creation, community building, and demand generation to reach software developers. The ideal candidate has a proven track record in developer-focused marketing, strong communication skills, and a passion for developer tools. Experience with PLG (Product-Led Growth) and the software distribution landscape is a plus.
Several commenters on Hacker News express skepticism about the Distro marketing lead role, questioning the requested experience level for a Series A startup and the emphasis on traditional marketing tactics like billboards and radio ads. Some find the high salary ($170k-$250k) surprising for a marketing position, while others debate the effectiveness of older advertising channels versus digital strategies. A few commenters suggest the role might be better suited to someone with experience in growth marketing rather than brand marketing, given the company's stage and the nature of the product. The relatively high cost of living in Palo Alto is also mentioned as a factor influencing the salary range.
Openlayer, a YC S21 startup building a collaborative spatial data platform, is seeking a senior backend engineer. This role involves designing, developing, and maintaining core backend services and APIs for their platform, working with technologies like Python, Django, and PostgreSQL. The ideal candidate possesses strong backend development experience, a solid understanding of geospatial concepts and databases (PostGIS), and excellent communication skills. Experience with cloud infrastructure (AWS, GCP) and containerization (Docker, Kubernetes) is also desired.
The Hacker News comments are sparse and mostly logistical. One commenter asks about the tech stack, to which an Openlayer representative replies that they use Python, Django, Postgres, and Redis, hosted on AWS. Another commenter inquires about remote work options, and Openlayer confirms they are a remote-first company. The remaining comments briefly touch upon the interview process and company culture. No particularly compelling or in-depth discussions emerge.
Bild AI is a new tool that uses AI to help users understand construction blueprints. It can extract key information like room dimensions, materials, and quantities, effectively translating complex 2D drawings into structured data. This allows for easier cost estimation, progress tracking, and identification of potential issues early in the construction process. Currently in beta, Bild aims to streamline communication and improve efficiency for everyone involved in a construction project.
Hacker News users discussed Bild AI's potential and limitations. Some expressed skepticism about the accuracy of AI interpretation, particularly with complex or hand-drawn blueprints, and the challenge of handling revisions. Others saw promise in its application for cost estimation, project management, and code generation. The need for human oversight was a recurring theme, with several commenters suggesting AI could assist but not replace experienced professionals. There was also discussion of existing solutions and the competitive landscape, along with curiosity about Bild AI's specific approach and data training methods. Finally, several comments touched on broader industry trends, such as the increasing digitization of construction and the potential for AI to improve efficiency and reduce errors.
Maritime Fusion (YC W25) is developing compact fusion reactors specifically designed to power large ocean-going vessels. They aim to replace conventional fossil fuel engines with a cleaner, more efficient, and longer-range alternative, eliminating greenhouse gas emissions and reducing the maritime industry's environmental impact. Their reactor design uses a novel approach to inertial electrostatic confinement fusion, focusing on achieving net-positive energy generation within a smaller footprint than other fusion concepts, making it suitable for ship integration. The company is currently seeking talent and investment to further develop and commercialize this technology.
HN commenters are generally skeptical of the feasibility of maritime fusion reactors, citing the immense engineering challenges involved in miniaturizing and containing a fusion reaction on a ship, especially given the current state of fusion technology. Several point out the complexities of shielding, maintenance, and safety in a marine environment, questioning the practicality compared to existing fission reactor technology already used in submarines and some surface vessels. Others express concerns about regulatory hurdles and the potential environmental impact. Some commenters, however, offer cautious optimism, acknowledging the potential benefits if such technology could be realized, but emphasize the long road ahead. A few express interest in the specific molten salt reactor design mentioned, though still skeptical of the timeline. Overall, the prevailing sentiment is one of doubt mixed with a degree of interest in the technological ambition.
Voker, a YC S24 startup building AI-powered video creation tools, is seeking a full-stack engineer in Los Angeles. This role involves developing core features for their platform, working across the entire stack from frontend to backend, and integrating AI models. Ideal candidates are proficient in Python, Javascript/Typescript, and modern web frameworks like React, and have experience with cloud infrastructure like AWS. Experience with AI/ML, particularly in video generation or processing, is a strong plus.
HN commenters were skeptical of the job posting, particularly the required "mastery" of a broad range of technologies. Several suggested it's unrealistic to expect one engineer to be a master of everything from frontend frameworks to backend infrastructure and AI/ML. Some also questioned the need for a full-stack engineer in an AI-focused role, suggesting specialization might be more effective. There was a general sentiment that the job description was a red flag, possibly indicating a disorganized or inexperienced company, despite the YC association. A few commenters defended the posting, arguing that "master" could be interpreted more loosely as "proficient" and that startups often require employees to wear multiple hats. The overall tone, however, was cautious and critical.
Browser Use is an open-source project providing reusable web agents capable of automating browser interactions. These agents, written in TypeScript, leverage Playwright and offer a modular, extensible architecture for building complex web workflows. The project aims to simplify common tasks like web scraping, testing, and automation by abstracting away low-level browser control, providing higher-level APIs for interacting with web pages. This allows developers to focus on the logic of their automation rather than the intricacies of browser manipulation. The project is designed to be easily customizable and extensible, allowing developers to create and share their own custom agents.
HN commenters generally expressed skepticism towards Browser Use's value proposition. Several questioned the practicality and cost-effectiveness compared to existing solutions like Selenium or Playwright, particularly highlighting the overhead of managing a browser farm. Some doubted the claimed performance benefits, suggesting that perceived speed improvements might stem from bypassing unnecessary steps in typical testing setups. Others pointed to potential challenges in maintaining browser compatibility and the difficulty of accurately replicating real-world browsing environments. A few commenters expressed interest in specific use cases like monitoring and web scraping, but overall the reception was cautious, with many requesting more concrete examples and performance benchmarks.
Ashby, a Y Combinator-backed recruiting platform, is seeking Principal Product Engineers to join their growing team. They're looking for experienced engineers with strong product sense and a passion for building impactful software to improve the hiring process. Responsibilities include leading the design and development of core product features, mentoring other engineers, and contributing to the overall technical strategy. The ideal candidate possesses expertise in full-stack development, preferably with experience in Ruby on Rails and React. Ashby offers competitive compensation, benefits, and the opportunity to work on a product used by leading companies.
Several commenters on Hacker News expressed skepticism about Ashby's "Principal" Product Engineer role, pointing out what they perceived as a relatively junior-level description of responsibilities and questioning the title's appropriateness. Some suggested the listing was targeted towards less experienced engineers who might be drawn to the "Principal" title, while others wondered if it reflected a broader trend of title inflation in the tech industry. There was also discussion about Ashby's use of an Applicant Tracking System (ATS), with commenters debating the merits of such systems and their impact on the hiring process. A few commenters expressed interest in the company and its product, while others shared anecdotes about their own experiences with similar job titles and company cultures.
PropRise, a YC S23 startup, is seeking its first Founding Engineer to build a platform streamlining the commercial real estate appraisal process. This full-stack role involves building the core product from the ground up, including frontend, backend, and database architecture. The ideal candidate is experienced with modern web frameworks, enjoys fast-paced startup environments, and is passionate about improving efficiency in complex industries. Equity is offered, providing an opportunity to significantly impact and benefit from the company's growth.
The Hacker News comments discuss the unusual nature of the job posting for a "Founding Engineer" at a company that already seems to have a product and existing engineers. Several commenters express skepticism about the "Founding Engineer" title, suggesting it might be a way to underpay or mislead potential hires. Others speculate on the reasons behind the seemingly contradictory situation, proposing that perhaps the existing team is non-technical or that the company is pivoting and needs to rebuild its engineering team. Some users question the high salary range offered ($170k - $280k), wondering if it's realistic for a pre-seed company. There's also a brief discussion about the company's business model and potential market.
Posh, a YC W22 startup, is hiring an Energy Analysis & Modeling Engineer. This role will involve building and maintaining energy models to optimize battery performance and efficiency within their virtual power plant (VPP) software platform. The ideal candidate has experience in energy systems modeling, optimization algorithms, and data analysis, preferably with a background in electrical engineering, mechanical engineering, or a related field. They are looking for someone proficient in Python and comfortable working in a fast-paced startup environment.
The Hacker News comments express skepticism and concern about Posh's business model and the specific job posting. Several commenters question the viability of Posh's approach to automating customer service for banks, citing the complexity of financial transactions and the potential for errors. Others express concerns about the low salary offered for the required skillset, particularly given the location (Boston). Some speculate about the high turnover hinted at by the constant hiring and question the long-term prospects of the company. The general sentiment seems to be one of caution and doubt about Posh's potential for success.
Massdriver, a Y Combinator W22 startup, launched a self-service cloud infrastructure platform designed to eliminate the complexities and delays typically associated with provisioning and managing cloud resources. It aims to streamline infrastructure deployment by providing pre-built, configurable building blocks and automating tasks like networking, security, and scaling. This allows developers to quickly deploy applications across multiple cloud providers without needing deep cloud expertise or dealing with tedious infrastructure management. Massdriver handles the underlying complexity, freeing developers to focus on building and deploying their applications.
Hacker News users discussed Massdriver's potential, pricing, and target audience. Some expressed excitement about the "serverless-like experience" for deploying infrastructure, particularly the focus on simplifying operations and removing boilerplate. Concerns were raised about vendor lock-in and the unclear pricing structure, with some comparing it to other Infrastructure-as-Code (IaC) tools like Terraform. Several commenters questioned the target demographic, wondering if it was aimed at developers unfamiliar with IaC or experienced DevOps engineers seeking a more streamlined workflow. The lack of open-sourcing was also a point of contention for some. Others shared positive experiences from the beta program, praising the platform's ease of use and speed.
Exa Laboratories, a YC S24 startup, is seeking a founding engineer to develop AI-specific hardware. They're building chips optimized for large language models and generative AI, focusing on reducing inference costs and latency. The ideal candidate has experience with hardware design, ideally with a background in ASIC or FPGA development, and a passion for AI. This is a ground-floor opportunity to shape the future of AI hardware.
HN commenters discuss the ambitious nature of building AI chips, particularly for a small team. Some express skepticism about the feasibility of competing with established players like Google and Nvidia, questioning whether a startup can realistically develop superior hardware and software given the immense resources already poured into the field. Others are more optimistic, pointing out the potential for specialization and niche applications where a smaller, more agile company could thrive. The discussion also touches upon the trade-offs between general-purpose and specialized AI hardware, and the challenges of attracting talent in a competitive market. A few commenters offer practical advice regarding chip design and the importance of focusing on a specific problem within the broader AI landscape. The overall sentiment is a mix of cautious interest and pragmatic doubt.
Confident AI, a YC W25 startup, has launched an open-source evaluation framework designed specifically for LLM-powered applications. It allows developers to define custom evaluation metrics and test their applications against diverse test cases, helping identify weaknesses and edge cases. The framework aims to move beyond simple accuracy measurements to provide more nuanced and actionable insights into LLM app performance, ultimately fostering greater confidence in deployed AI systems. The project is available on GitHub and the team encourages community contributions.
Hacker News users discussed Confident AI's potential, limitations, and the broader landscape of LLM evaluation. Some expressed skepticism about the "confidence" aspect, arguing that true confidence in LLMs is still a significant challenge and questioning how the framework addresses edge cases and unexpected inputs. Others were more optimistic, seeing value in a standardized evaluation framework, especially for comparing different LLM applications. Several commenters pointed out existing similar tools and initiatives, highlighting the growing ecosystem around LLM evaluation and prompting discussion about Confident AI's unique contributions. The open-source nature of the project was generally praised, with some users expressing interest in contributing. There was also discussion about the practicality of the proposed metrics and the need for more nuanced evaluation beyond simple pass/fail criteria.
The Forecasting Company, a Y Combinator (S24) startup, is seeking a Founding Machine Learning Engineer to build their core forecasting technology. This role will involve developing and implementing novel time series forecasting models, working with large datasets, and contributing to the company's overall technical strategy. Ideal candidates possess strong machine learning and software engineering skills, experience with time series analysis, and a passion for building innovative solutions. This is a ground-floor opportunity to shape the future of a rapidly growing startup focused on revolutionizing forecasting.
HN commenters discuss the broad scope of the job posting for a founding ML engineer at The Forecasting Company. Some question the lack of specific problem areas mentioned, wondering if the company is still searching for its niche. Others express interest in the stated collaborative approach and the opportunity to shape the technical direction. Several commenters point out the potentially high impact of accurate forecasting in various fields, while also acknowledging the inherent difficulty and potential pitfalls of such a venture. A few highlight the YC connection as a positive signal. Overall, the comments reflect a mixture of curiosity, skepticism, and cautious optimism regarding the company's prospects.
Unsloth AI, a Y Combinator Summer 2024 company, is hiring machine learning engineers. They're building a platform to help businesses automate tasks using large language models (LLMs), focusing on areas underserved by current tools. They're looking for engineers with strong Python and ML/deep learning experience, preferably with experience in areas like LLMs, transformers, or prompt engineering. The company emphasizes a fast-paced, collaborative environment and offers competitive salary and equity.
The Hacker News comments are generally positive about Unsloth AI and its mission to automate tedious data tasks. Several commenters express interest in the technical details of their approach, asking about specific models used and their performance compared to existing solutions. Some skepticism is present regarding the feasibility of truly automating complex data tasks, but the overall sentiment leans towards curiosity and cautious optimism. A few commenters also discuss the hiring process and company culture, expressing interest in working for a smaller, mission-driven startup like Unsloth AI. The YC association is mentioned as a positive signal, but doesn't dominate the discussion.
Converge, a YC S23 startup, is seeking its second engineer to join their New York City team. They are building a platform to automate the creation and management of financial models, primarily for private equity and venture capital. The ideal candidate is a full-stack engineer proficient in Javascript/Typescript and interested in FinTech. Experience with React, Node.js, and cloud platforms like AWS is preferred, but a strong foundation and a desire to learn are highly valued. Converge offers competitive salary and equity, alongside the opportunity to shape the technical direction of a rapidly growing company.
Commenters on Hacker News discuss Converge's early stage and the implications for a potential engineer #2. Several express concerns about joining such a young company, highlighting the risks associated with its unproven business model and the significant influence a single engineer could have, which could be both exciting and potentially overwhelming. Others question the NYC location choice given Converge's focus on construction, a sector not traditionally associated with New York. Some commenters see the posting as a positive sign, suggesting it indicates Converge has secured initial funding and is progressing. A few users express interest in learning more about the company's tech stack. Overall, the sentiment is cautiously curious, with many waiting to see more evidence of Converge's viability before considering it a serious opportunity.
Promptless, a YC W25 startup, has launched a service to automatically update customer-facing documentation. It connects to internal tools like Jira, Github, and Slack, monitoring for changes relevant to documentation. When changes are detected, Promptless uses AI to draft updates and suggests them to documentation writers for review and approval before publishing. This eliminates the manual process of tracking changes and updating docs, ensuring accuracy and reducing stale information for improved customer experience.
The Hacker News comments express skepticism about Promptless's value proposition. Several commenters question the need for AI-driven documentation updates, arguing that good documentation practices already involve regular reviews and updates. Some suggest that AI might introduce inaccuracies or hallucinations, making human oversight still crucial and potentially negating the time-saving benefits. Others express concern about the "black box" nature of AI-driven updates and the potential loss of control over messaging and tone. A few commenters find the idea interesting but remain unconvinced of its practical application, especially for complex or nuanced documentation. There's also discussion about the limited use cases and the potential for the tool to become just another layer of complexity in the documentation workflow.
Jiga, a YC-backed startup (W21) building a B2B marketplace for industrial materials in Africa, is hiring full-stack engineers proficient in MongoDB, React, and Node.js. They're looking for individuals passionate about building a transformative product with significant real-world impact, comfortable working in a fast-paced environment, and eager to contribute to a rapidly growing company. Experience with Typescript and Next.js is a plus.
HN commenters discuss Jiga's unusual hiring approach, which emphasizes learning MongoDB, React, and Node.js after being hired. Some express skepticism, questioning the practicality of training experienced engineers in specific technologies and the potential for attracting less qualified candidates. Others are more optimistic, viewing it as a refreshing alternative to the overemphasis on specific tech stacks in typical job postings, potentially opening opportunities for talented individuals with strong fundamentals but lacking specific framework experience. The discussion also touches on the potential for lower salaries due to the training aspect and the overall cost-effectiveness of this hiring strategy for Jiga. Several commenters share personal anecdotes of successfully transitioning to new technologies on the job, suggesting that Jiga's approach could be viable.
Roark, a Y Combinator-backed startup, launched a platform to simplify voice AI testing. It addresses the challenges of building and maintaining high-quality voice experiences by providing automated testing tools for conversational flows, natural language understanding (NLU), and speech recognition. Roark allows developers to create test cases, run them across different voice platforms (like Alexa and Google Assistant), and analyze results through a unified dashboard, ultimately reducing manual testing efforts and improving the overall quality and reliability of voice applications.
The Hacker News comments express skepticism and raise practical concerns about Roark's value proposition. Some question whether voice AI testing is a significant enough pain point to warrant a dedicated solution, suggesting existing tools and methods suffice. Others doubt the feasibility of effectively testing the nuances of voice interactions, like intent and emotion, expressing concern about automating such subjective evaluations. The cost and complexity of implementing Roark are also questioned, with some users pointing out the potential overhead and the challenge of integrating it into existing workflows. There's a general sense that while automated testing is valuable, Roark needs to demonstrate more clearly how it addresses the specific challenges of voice AI in a way that justifies its adoption. A few comments offer alternative approaches, like crowdsourced testing, and some ask for clarification on Roark's pricing and features.
Yhangry, a YC W22 startup offering private chef services for groups, is hiring for various roles. They're seeking talented individuals passionate about food and hospitality to join their growing team. Specifically, they're looking to fill engineering, operations, sales, and marketing positions. They emphasize a collaborative, fast-paced environment and the opportunity to build a disruptive brand within the food-tech industry. Interested candidates are encouraged to apply through the provided links regardless of specific experience matching the listed roles, as Yhangry prioritizes passion and drive.
The Hacker News comments are primarily focused on Yhangry's business model and the challenges it faces. Several commenters question the long-term viability of the "shared dining experience" for corporate catering, citing potential logistical issues, varying dietary needs, and the inherent awkwardness of forced socialization with coworkers. Some express skepticism about the target market's willingness to pay a premium for this service, particularly during economic downturns. Others suggest alternative business models like individual meal delivery or focusing on niche markets. There's also a brief discussion on the ethics and implications of sharing compensation information. Overall, the comments express a cautious curiosity about Yhangry, acknowledging the potential while also raising significant concerns about its scalability and market fit.
Artie, a YC S23 startup building AI-powered tools for game developers, is hiring a Business Operations Manager. This role will be responsible for a wide range of operational tasks, including sales operations, marketing operations, finance, and legal. The ideal candidate is highly organized, analytical, and adaptable, with experience in a fast-paced startup environment. They will work closely with the founders and play a key role in scaling the company's operations as it grows. Artie offers a competitive salary and equity, as well as the opportunity to work on cutting-edge technology in a dynamic and collaborative environment.
The Hacker News comments on the Artie job posting are sparse and don't offer much substantive discussion. Several commenters express skepticism about the high salary range ($180k-$220k) for a Business Operations role at a seed-stage startup, questioning the company's spending priorities. One commenter wonders if the role is mistitled and is actually for a more senior position like Head of Operations. Another questions the value proposition of Artie's AI-powered art generation tool, suggesting it's more of a novelty than a truly useful product. Overall, the comments reflect a cautious and somewhat critical perspective on the job posting and the company itself.
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https://news.ycombinator.com/item?id=43299508
Several commenters on Hacker News expressed skepticism about the value proposition of using LLMs for document processing, citing issues with accuracy and hallucination. Some suggested that traditional methods, especially for structured documents, remain superior. Others questioned the need for a specialized LLM application in this area, given the rapid advancements in open-source LLMs and tools. There was some discussion of the specific challenges in document processing, such as handling tables and different document formats, with commenters suggesting that these issues are not easily solved by simply applying LLMs. A few commenters also inquired about the company's specific approach and the types of documents they are targeting.
The Hacker News post titled "Extend (YC W23) is hiring engineers to build LLM document processing" generated a modest discussion with a few noteworthy comments. Several commenters focused on the apparent narrowness of the problem Extend is tackling, questioning the long-term viability of specializing solely in document processing with LLMs. One commenter expressed skepticism, stating that document processing feels like a feature, not a product, and wondered about the broader market opportunity. They questioned the defensibility of such a niche against larger players who could easily integrate similar features.
Another commenter pointed out the existing competition in the document processing space, mentioning established companies like UiPath and Automation Anywhere. This raised questions about Extend's differentiation and competitive advantage. They also highlighted the existing complexity and nuances of enterprise document processing, suggesting that simply applying LLMs might not be sufficient to address the real-world challenges.
A different perspective was offered by a commenter who saw value in focusing on specific industries. They suggested that specializing in document processing for a particular sector, like healthcare or finance, could be a viable strategy. This approach, they argued, would allow Extend to develop deep expertise and tailored solutions for specific industry needs, potentially creating a defensible market position.
One commenter directly addressed the hiring aspect of the post, inquiring about remote work possibilities. This reflects a common concern among Hacker News users, highlighting the importance of remote work options in the current tech job market.
Finally, a commenter briefly mentioned the connection to Y Combinator, noting the W23 batch. This provides context for the company's stage and potential for growth, although the comment itself didn't elaborate further on the implications of being part of the YC program.
Overall, the comments reflect a cautious but curious attitude toward Extend's approach. While acknowledging the potential of LLMs in document processing, commenters primarily raised concerns about market size, competition, and the need for a broader product vision. The discussion highlights the challenges faced by startups focusing on niche applications of LLMs in a rapidly evolving technological landscape.