Build an AI startup that wins 🚀 Avoid pitfalls, focus on users & execute smartly. Learn secrets from Anthropic, Cohere & more! Read now 👉 codecanvas8061.hashnode.dev/how-top-ai-sta… #AIStartups #TechInnovation #StartupTips #ProductManagement #AI
The HomePage design that should always work until it does not. medium.com/@build_with_il… #productmanagement #productstrategy #homepagedesign #branding #productvisibility
From Output to Outcomes: Marty Cagan reveals the secret to successful product management: focus on real impact, empower teams to solve key problems, embrace true agile, and build strong product leadership. #ProductManagement #Agile #ProductLeadership #MartyCagan
PMs don’t just ship features—they balance four forces: 💡 Valuable - productive? 🧠 Usable - intuitive UI? 🛠️ Feasible - resourceful? 💰 Viable - revenue? Impact follows when all 4 are balanced. Ignore one, and your product breaks. #PMWisdom #product
🧠 Feature fatigue is real. Your users aren’t waiting for your next pop-up or shiny new feature. Yes, even if your update “makes their life better.” While builders chase novelty, users crave simplicity. Build some. Scrape some.Curate ur product #ProductDesign #UX #FeatureFatigue
Read more about the costs of adding features at the cost of user experience here - medium.com/@build_with_il… #productstrategy #SaaS #productledgrowth #usercentricdesign #lessismore
Ever feel like your product’s getting bloated with “just one more feature”? Adding more doesn’t always mean adding value. Sometimes it just clutters the experience and confuses users. The best products? They’re simple, focused, and not afraid to say no. Let’s build with restraint
🧠 More features ≠ better product The best products aren’t bloated with options. They’re focused, intuitive, and unapologetically opinionated. We reward shipping, not simplifying. But users don’t care about your roadmap—they care about getting their job done. #usercentricdesign
💸 Struggling to price your B2B SaaS product? Most teams guess. The best ones test, iterate, and anchor pricing to real customer value. The most comprehensive guide on B2B SaaS pricing— If you build or sell SaaS, this is a must-read 👇 🔗 medium.com/@build_with_il…
Good Opportunities are at the intersection of 3 things: What's Recently Possible, What users need, What's good for the business. - Marty Cagan #ProductManagement #productDiscovery #productLedGrowth #ProductDevelopment
Discover how Large Language Models reshape business by automating workflows, enhancing creativity, and enabling smarter customer interactions. From code generation to HR, LLMs streamline work, making it faster and more human-like. medium.com/@build_with_il…
📢 Announcing: Our first Farcaster GTM course (and how you can get it for free!) 🔥 Took us 4 months. 60+ videos. And now it is finally here: Our FIRST course to become a Farcaster marketing expert within two weeks. Inside this course, you will learn: - All about Farcaster…
Getting very random results when parsing html using cheerio. Any suggestions to improve this?
I can't believe I'm doing this This took me weeks to get done I created a MASTERCLASS on how to build a productized agency from $0 TO $10K/MO And I'm going to give it to you for free today RT & Comment "10K" and I'll send it to you
I’ve been keeping a secret... It helps us design 10x faster than the average designer. Our timelines reduced from weeks to days Today, I’m revealing our AI Prompt Vault - an internal library of our best prompts Want it? RT & comment “Flash” - I’ll DM it. (must be following)
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Created an AI agent alongwith few agents for specific tasks. Used Llama 3.3 on @GroqInc and @phidata_ai as framework
Why AI agents are the next revolutionary thing? AI agents are - autonomous - adaptable to changing situations/conditions - capable of making dynamic decisions - continuously learning for improvement - highly focused on achieving specified goals
Why AI agents are the next revolutionary thing? AI agents are - autonomous - adaptable to changing situations/conditions - capable of making dynamic decisions - continuously learning for improvement - highly focused on achieving specified goals
Traditional AI systems have rule-based, predefined logic workflows, minimal adaptability and require structured, labelled data. All of these limitations do not exist for Agentic AI workflows as they are autonomous & self-directed and can work on diverse, unstructured data.
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