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Productivity News
Medium
3w
171
Image Credit: Medium
Does AI Make Us Lazy or Boost Our Productivity?
- AI has evolved from hype to utility, serving as digital assistants, memory aids, content generators, and problem-solvers, offering support in decision-making.
- AI tools such as v0.dev, bolt.new, and GitHub Copilot accelerate workflow for developers, simplifying tasks like designing UI components and writing code, saving time on repetitive activities.
- While AI enhances productivity by offloading mundane tasks and freeing up time for strategic and creative work, it still requires human direction as it lacks critical thinking abilities and understanding of real-world contexts.
- The future of work involves adapting to utilizing AI as a leverage for success rather than a replacement for human thinking, emphasizing collaboration with AI to unlock full potential and stay ahead in the evolving tech landscape.
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Medium
3w
298
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Top 10 AI Agents Supercharge Your Business
- AI agents go beyond simple chatbots and are intelligent systems designed to handle specific tasks automatically.
- They assist in offloading repetitive, time-consuming tasks for businesses, allowing teams to focus on strategic work and reducing burnout.
- AI agents cover various fields from sales outreach to finance tracking and customer service to meeting documentation.
- The best AI agents have key traits that help businesses improve productivity and streamline operations.
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Dev
3w
421
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Tired of GUI builders? I made a code-first alternative to Retool
- A developer created Sourcetool, a code-first alternative to GUI builders like Retool, to simplify creating admin panels without the drag-and-drop frustrations.
- Sourcetool allows developers to directly connect backend functions to UI components in languages like Go, eliminating the need for separate frontend code.
- The architecture of Sourcetool involves the backend server, Sourcetool server acting as a WebSocket bridge, and the user's browser, enabling real-time updates in the UI.
- Sourcetool is Git-friendly, type-safe, AI-friendly, and allows developers to stay within their backend language, offering advantages over traditional GUI builders.
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HRM Asia
3w
399
The high cost of disengaged employees: Why culture matters more than ever
- Culture plays a crucial role in driving productivity, retention, and growth within an organization.
- Misaligned culture can lead to disengagement among employees and negatively impact morale and productivity.
- Company culture is no longer just about perks; it is a strategic lever for success.
- There is a significant gap in how different levels within an organization perceive company culture.
- Investing in the right culture can lead to increased employee engagement, improved mental health, and higher motivation levels.
- Employees categorized as Culture Promoters are more likely to stay for growth opportunities and feel comfortable sharing their opinions.
- Culture Detractors, on the other hand, feel disconnected and are less likely to feel trusted by their employer.
- Career growth opportunities are essential for retaining employees, especially in the Asia-Pacific region.
- AI and new technologies can impact culture positively, but there are disparities in perception and access among different levels of employees.
- HR leaders can bridge gaps in workplace culture by focusing on learning, development, communication, onboarding, and efficiency.
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24 Likes
VentureBeat
3w
219
Image Credit: VentureBeat
Notion bets big on integrated LLMs, adds GPT-4.1 and Claude 3.7 to platform
- Notion is integrating large language models (LLMs) like GPT-4.1 and Claude 3.7 into its platform for new enterprise capabilities.
- The new features include AI meeting notes, enterprise search, research mode, and the ability to switch between GPT-4.1 and Claude 3.7.
- Users can chat with LLMs inside the Notion workspace to reduce window and context switching, with early adopters including OpenAI, Ramp, Vercel, and Harvey.
- Notion's AI toolkit integrates LLMs from OpenAI and Claude, offering features tailored for accuracy, speed, safety, and privacy in enterprise settings.
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Medium
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298
100 Traits of a Product Manager — #1: Result Deliverer
- Product managers are expected to deliver results, which can vary for different team members.
- Each team member, such as Technical Architects, UI/UX Designers, Coders, Testers, SREs, Marketers, Sales, and C-Suite, has their own criteria for successful results.
- Stakeholders, including users, buyers, negotiators, influencers, IT Security, and customer organizations, have high expectations regarding results.
- Product Managers play a crucial role in delivering results that meet the diverse needs and expectations of various stakeholders.
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Hackernoon
3w
245
Image Credit: Hackernoon
Meet Hedy AI: Mobile App Development & AI Wrapper's Momentum 10
- Hedy AI is recognized as part of the Momentum 10, showcasing exceptional progress in 2024 startup ecosystem.
- Evolved from a digital product agency, Hedy AI offers real-time speech recognition and AI support on mobile devices.
- Hedy AI functions as an AI-powered conversation coach, providing insights and support during conversations.
- Targets democratizing access to real-time AI support for effective communication across languages and professions.
- Distinguishing factors include quality AI responses, specialized conversation contexts, and user collaboration for feedback.
- User behavior insights led to a pivot towards professional users, enhancing product-market fit and retention.
- Engaging power users as partners influenced Hedy's development, with their feedback shaping features and improvements.
- Hedy aims to revolutionize conversation intelligence by providing real-time AI assistance, enhancing human interactions.
- Future plans for Hedy include global accessibility, cross-platform experience, and ecosystem integration for seamless user experience.
- Amid rapid AI advancements, Hedy focuses on leveraging AI to amplify human capabilities in conversations.
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14 Likes
Dev
3w
285
Image Credit: Dev
The History of PDF: From Adobe's Creation to Universal Standard
- The history of the Portable Document Format (PDF) traces back to the late 1980s, when sharing electronic documents was challenging due to inconsistent display across different systems.
- In 1991, Adobe Systems' co-founder John Warnock envisioned a universal document format, leading to the creation of the PDF through the Camelot project.
- Adobe released the first PDF version, PDF 1.0, in 1993, offering platform independence and high-quality visual reproduction for documents.
- Subsequent PDF versions introduced new features like interactive forms, digital signatures, and improved encryption, enhancing document functionality.
- PDF became an open standard in 2008 (ISO 32000-1:2008), ensuring accessibility, wider adoption, and development of specialized PDF standards for various industries.
- Specialized PDF variants like PDF/A for archiving, PDF/X for graphic arts, and PDF/E for engineering emerged to address specific needs in different fields.
- The release of PDF 2.0 in 2017 brought enhanced security, better digital signature support, improved metadata handling, and geographic information system (GIS) support.
- PDF revolutionized document handling, enabling the paperless office concept, legal acceptance of PDF documents, streamlined education, and global business operations.
- Modern PDF tools offer advanced capabilities like automated form creation, cloud-based processing, accessibility checking, and batch processing of documents for efficient PDF management.
- PDF's future includes adaptation to mobile devices, cloud integration, AI incorporation for improved text recognition, enhanced accessibility features, and potential blockchain integration for document verification.
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Medium
3w
4
What Actually Worked in My AI Job Search (After 30 Failures)
- The author faced 30 rejections in their AI job search before changing their approach.
- They started focusing on positioning themselves as a solution rather than just an applicant.
- Each CV was rewritten with a 2-line AI prompt to make it specific and sharp.
- Instead of traditional follow-ups, the author sent 30-second screen shares showing how they would approach part of the job, leading to more replies and interviews.
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Medium
3w
316
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How I Automated Daily Standups and Weekly Reports with GPT
- Automate daily standups and weekly reports using GPT-4, Zapier, and AI-powered reporting.
- Save time by automatically summarizing team updates, formatting structured summaries, and sending them to Slack, Notion, or email.
- Focus on problem-solving instead of writing lengthy reports manually.
- Future of project management lies in designing efficient systems with AI handling repetition and humans focusing on outcomes.
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19 Likes
Dev
3w
412
Image Credit: Dev
I built dailypush.dev – a search engine for dev blog posts, summarized and curated by other devs
- dailypush.dev is a search engine created for dev blog posts, summarized and curated by other developers.
- It currently indexes over 1300 articles pulled from various developer blogs and sources, summarized using GPT and tagged by topics like React, backend, AI, DevOps, etc.
- Users can search, filter, and like valuable posts, with popular content surfacing based on views and upvotes.
- Future plans include personalized digests, tag subscriptions, saved posts & bookmarks, and recommendations by interest.
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The FishmanAF Newsletter
3w
25
Image Credit: The FishmanAF Newsletter
How Perplexity Grows
- Perplexity, a popular search engine, has seen growth through various strategies including linear channels, user-generated content loops, and acquisition tactics.
- Linear channels like brand marketing and CEO presence on Twitter have helped drive initial adoption and interest in new features for Perplexity.
- User-generated content loops such as the AskPerplexity integration on platforms like Twitter, Discord, Telegram, and WhatsApp have enhanced distribution and awareness for Perplexity.
- Perplexity's introduction of Pages, Share functionality, and Spaces has facilitated collaboration, content sharing, and user engagement.
- The Discover tab and related queries feature provide users with curated content and prompt further exploration within Perplexity.
- Perplexity's focus on retention includes initiatives like onboarding without account creation, related queries, email digests, and watchlists for personalized updates.
- Their emphasis on self-reinforcing growth loops, friction reduction, and becoming the default search engine on browsers has contributed to Perplexity's success in the competitive AI landscape.
- Overall, Perplexity continues to innovate and adapt its growth strategies to maintain and expand its user base and market presence.
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HRKatha
3w
217
Image Credit: HRKatha
Chegg to lay off 22% of workforce amid growing AI disruption
- Chegg plans to lay off approximately 22% of its workforce, around 248 employees, to reduce costs and adapt to the evolving digital learning landscape.
- The company faces declining website traffic due to the growing preference for AI-driven tools like ChatGPT over traditional edtech services.
- As part of cost-cutting measures, Chegg will close offices in the US and Canada by 2025 and reduce marketing efforts and product development.
- Despite initial charges of $34–$38 million in the short term, Chegg expects long-term savings of $45–$55 million in 2025, increasing to $100–$110 million by 2026.
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12 Likes
Medium
3w
281
Software Engineering in the Time of AI
- AI is a productivity booster, not a thinking machine, impacting software engineering by collapsing roles into 'Product Engineer 2.0.'
- Software engineering differs from other rule-based professions as it is open-ended, creative, and full of ambiguity, likely leading to a split rather than transformation of roles.
- The vision of 'Zero-touch feature development' is considered utopian, with a more realistic approach being 'Low-touch development' where AI supports coding tasks while humans oversee architecture and quality.
- It is crucial for engineers to learn to work with AI, not rely on it entirely, as AI does not assist in personal growth unless the hard parts are still being tackled by the individual.
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16 Likes
Dev
3w
342
Image Credit: Dev
The Future of Frontend: Trends at the Intersection of Web Architecture and AI
- The world of frontend development is evolving, with web architecture and artificial intelligence merging to create smarter, faster, and more distributed applications.
- AI is playing a significant role in frontend workflows, helping developers with code generation, bug detection, performance optimization, design assistance, testing, and personalization.
- Frameworks are progressing towards efficiency with trends like partial hydration, server-side rendering, and increased abstraction, making development faster and more maintainable.
- Edge computing is becoming more popular, leading to ultra-low latency apps by distributing frontend logic globally for improved speed, reliability, and scalability.
- WebAssembly and Web3 technologies are expanding frontend capabilities, allowing for high-performance applications, AI features, and decentralized app interfaces directly in the browser.
- The future of frontend development emphasizes delivering value through fast, accessible, and user-centric experiences, focusing on performance, accessibility, responsive design, and personalized interfaces.
- Developers are encouraged to combine new technologies with timeless UX principles to create advanced yet user-friendly web applications that cater to a diverse audience.
- Overall, frontend innovation is expected to bring exciting opportunities for developers and users, encouraging the creation of delightful and inclusive web experiences.
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