I’ve started sharing what I’m learning about AI, software, SaaS, and building products → shivams.dev/blogs.html Looking to connect with: → AI builders → SaaS founders → Developers → Tech creators → People building in public @X @grok — help me find more people building cool things. Let’s connect.

Actually, security-related patches for this issue were already reported two years ago

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Very much concerning

Is iOS development still a goldmine for indie hackers in 2026? I'm thinking of building an iOS app or SaaS. iOS developers & founders: Is there still room for new players to build profitable apps? If you were starting today, what would you build and how would you monetize it? 👇 #iOSDev #SaaS #IndieHackers

Does a degree still matter in tech in 2026? 🤔 I have 1.5 years of corporate experience as a developer, along with additional experience in internships, freelancing, and building businesses. I completed my BCA through distance learning, and now I want to make a 3x salary jump. But one question keeps coming to my mind: Will my degree limit my career growth, even when I have real-world experience and practical skills? Should I focus on DSA, system design, and projects, or can my educational background become a barrier when applying to top tech companies? I'd love to hear honest opinions from developers, recruiters, and hiring managers. In 2026, what matters more: your degree or what you can actually build? 👇 #SoftwareEngineering #CareerGrowth #TechCareers

The browser extension market is an underrated opportunity. Instead of building another SaaS, what if you solve one painful problem with a simple extension? My growth strategy: → Solve one specific problem → Grow through X, Reddit & communities → Offer free features to attract users → Monetize with premium features → Expand into a full SaaS business I'm building an extension myself and exploring how far it can go. What would you prioritize first? A) 10K free users B) First 100 paying customers C) Viral growth D) Scaling into SaaS What's your strategy? 👇 #BuildInPublic #SaaS #IndieHackers

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Happy Dussehra 🙏 🙏

Your Business Doesn't Need More AI. It Needs Less Manual Work. Most businesses don't have an AI problem. They have a spreadsheet problem. An email problem. A repetitive-work problem. And we're often trying to solve these problems by adding more software instead of fixing how work actually gets done. I think that's one of the biggest opportunities in software right now. The hidden cost of doing things manually Imagine a recruitment agency. Every day, its team might: - Collect resumes through email. - Update candidate information in spreadsheets. - Check for duplicate applications. - Follow up with hiring managers. - Manually track interview progress. None of these tasks seems particularly difficult. But together, they consume hours of work, create mistakes, and slow down hiring. Now imagine one system handling the entire workflow. Candidates are organized automatically. Duplicate records are flagged. Interview stages stay updated. Recruiters can see exactly what's happening. That's not just software. That's operational leverage. The best software solves boring problems The next great software business doesn't necessarily need a revolutionary AI model. It might simply need to solve an annoying problem exceptionally well. Consider three opportunities: 1. Recruitment automation Help recruitment teams manage candidates, resumes, interviews, and hiring workflows in one place. 2. Business process automation Connect disconnected tools so teams stop copying the same information between systems. 3. AI-powered business software Build AI into existing workflows where it saves measurable time—not just into a chatbot because AI is trending. These aren't glamorous problems. But businesses already spend money trying to solve them. Why this matters for founders It's tempting to start with technology. Which AI model should I use? Which framework should I choose? What features should I build? Start somewhere else. Ask: - What task does a business repeat every day? - How much time or money does that task cost? - Who has the authority to pay for a solution? - Can I prove that my product makes the process better? Then build the smallest solution that delivers that outcome. You don't need to automate an entire company on day one. You need to solve one painful problem well enough that someone wants to pay for it. The real opportunity AI makes it easier to build sophisticated software with smaller teams. But the advantage isn't simply building faster. It's identifying valuable problems, understanding how businesses operate, and delivering a solution that fits into their actual workflow. The companies that win won't necessarily have the most features. They'll remove the most friction. My takeaway: Don't ask, "Where can I add AI?" Ask, "What work should my customer never have to do manually again?" That's a much better place to start building. What's one repetitive task in your industry that you wish software would eliminate completely?

Stop Building AI Wrappers. Start Building Businesses People Can't Live Without. Everyone is building AI products. AI resume builders. AI chatbots. AI writing tools. AI agents. But here's the uncomfortable truth: Building an AI product is getting easier. Building a business people actually pay for is still hard. And I think this is where the next generation of successful startups will separate themselves from the rest. The problem with chasing AI trends When a new AI model launches, thousands of founders rush to build something around it. They see a viral post, copy the idea, launch a landing page, and wait for customers. Sometimes they get attention. But attention isn't revenue. And a product isn't a business just because it has AI in its name. If your entire product can be replaced by a single feature in ChatGPT, you need to think harder about your competitive advantage. What should founders build instead? I believe there are three opportunities worth paying attention to. 1. Products that save people money People love making money, but they also love discovering money they're wasting. Imagine a tool that detects forgotten subscriptions, unused AI plans, and recurring expenses. It doesn't just show a list. It tells users what to cancel, how much they could save, and helps them take action. That's a clear value proposition. 2. Products that help people make money Think beyond another resume generator. What if a platform helped someone discover relevant jobs, improve their applications, track opportunities, and understand why they're not getting interviews? The product wouldn't just generate content. It would help users reach an outcome. 3. Products that remove repetitive work Businesses don't buy AI because it's exciting. They buy it because it saves time, reduces costs, or increases revenue. Find a painful, repetitive workflow in a specific industry. Solve it better than the alternatives. Make the return on investment obvious. That's a much stronger starting point than building a generic AI assistant. The real startup playbook If I were starting an AI company today, I'd follow five rules: - Find pain before building features. - Talk to 20–30 potential customers before scaling development. - Get your first 10 paying customers manually if necessary. - Charge for the outcome, not just access to an AI model. - Use customer feedback to decide what to build next. Your first goal shouldn't be a million users. It should be proving that a specific group of people needs your product enough to pay for it. Then repeat that process until you find a channel that brings customers consistently. Can a small AI startup become a billion-dollar company? Yes, but not simply because it uses AI. It needs a large market, a meaningful competitive advantage, strong distribution, recurring revenue, and a product customers continue to use. AI can accelerate product development. It cannot magically create customer demand. The winners won't necessarily be the founders who build the most impressive AI demos. They'll be the founders who solve expensive problems and figure out how to reach customers. That's the kind of company I want to build. Not another tool people try once. A business people depend on. What's your take? Are we building too many AI wrappers, or are some of them the starting point for the next generation of great companies?

What is hugging face basically ??

check out

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instagram.com/shivams.dev?ps… Just another social media channel. Need support

To build a social media platform for Indian users, we need more than just an app. We need an entire ecosystem and a shift in mindset. Hike and ShareChat are examples of how challenging this can be. Despite their potential, competing platforms often struggle to overcome network effects, ecosystem gaps, and a lack of mass adoption compared to WhatsApp. But Snapchat is still thriving in India, even without an ecosystem like Meta’s. So, what are Indian entrepreneurs missing? Is it product innovation, user psychology, network effects, or simply the ability to build habits that keep users coming back?