Great question honestly, affiliate marketing has evolved a lot. What’s working now isn’t just dropping links; it’s building trust first. I’ve found that niche content (blogs, short videos, or even email lists) that solves a real problem tends to convert best. People want honest reviews, real use cases, and content that doesn’t feel salesy. Also, promoting high-ticket or recurring commission products is way more sustainable than chasing $5 sales. It’s really about playing the long game and adding value before asking for a click.

Choose Your AI Stack - Frontend: Use an AI no-code release like Lovable or Bolt.new to generate UI components (React, Tailwind) and integrate basic flows (auth, data fetching) from prompts. According to one comparison: “Lovable … full stack app creation from natural language” - Backend: Use Cursor AI an AI-powered IDE based on VS Code with auto-complete, chat prompts, debugging, and project-wide context. Perfect for writing/refining server logic. Outline Your Architecture 1. Prompt Lovable/Bolt.new Ask for "a React frontend with Tailwind, Supabase as backend, and authentication flow" Export code (to GitHub or ZIP) 2. Refine via Cursor AI Import the generated codebase into Cursor Prompt Cursor to improve structure: “Refactor authentication code, add Joi validation” Cursor can generate tests, APIs, fix bugs, etc. A Reddit user who did this shared: “I did a full AWS thing… Except some minor tweaks here and there it was all Cursor and Claude.” Step 3: Manage AI Workflow - AI thrives with short, focused prompts: feed it ERROR logs or specific chunks, not the whole app - Maintain context: keep docs, ER diagrams, project folder structure up-to-date so Cursor understands your codebase - Use hybrid flow: prompt AI to scaffold, then refine manually; don’t simply trust its first output Step 4: Build & Refine Iteratively - Prototype fast: Leverage AI for scaffolding (frontend + backend) arguxlabs.com+8joshsorenson.com+8reddit.com+8 - Fine-tune features with Cursor: validation, performance, bug fixes - Keep user interface polished: one user said “I took the code it produced and loaded it up in Cursor, and Cursor has done a great job adding to it since then.” Example Tech Flow 1. Prompt Lovable/Bolt.new: “Create a TODO app with auth + Supabase DB” 2. Export code → open in Cursor 3. Cursor: “Add API endpoint /todos/create with validation and tests” 4. Cursor: “Refactor UI for mobile responsiveness” 5. Host frontend via Vercel, backend on Supabase or serverless my tip - You still need to oversee: AI suggests; you validate - Use modular AI cycles: prompt, review, refine -Balance control: don’t over-guide the AI—adapt to its patterns - Avoid context overload: reset chats, maintain clean project docs TL;DR • Frontend: Lovable/Bolt.new to generate UI scaffolding • Backend: Cursor AI to create, debug, and refine logic and APIs • Workflow: prompt → export → refine → deployment AI is your co pilot you stay in the driver’s seat You can build a robust technical company using just these AI tools but it works best if you're guiding, cleaning up, and iterating. AI accelerates your work, but doesn’t replace the human in the loop

Start with your audience. The best affiliate platform isn’t just the one with the highest commissions it’s the one that offers products or services your niche genuinely trusts or needs. Ask yourself: What are my audience’s real problems or desires? What do they already buy or search for? Would I personally recommend this if there were no commission? Once you’re clear on that, here’s how to choose: Relevance First Pick platforms that align with your niche for example, ShareASale or Impact if you're in lifestyle or fashion, PartnerStack for tech/SaaS, or ClickBank for digital products. Track Record & Transparency Look for clear commission structures, real-time tracking, and monthly payouts. If it feels shady, it probably is. Tools & Support Good platforms offer creatives (banners, copy), dashboards, and sometimes even dedicated affiliate managers. Flexibility Some platforms let you customize your links, run deep linking, or bundle products. That’s useful if you’re doing content marketing or SEO. Trust Only promote what you’d use or stand behind. In the long run, credibility converts more than commissions.

If you're building an educational AI chatbot for kids, you'll want platforms that balance engaging natural language, age-appropriate safety, and customizable learning paths. Here are the best options right now: 1. Google Dialogflow + Firebase Why: Easy to prototype conversational bots with natural language understanding. Best for: Structured Q&A, school subjects, voice integration (e.g., smart devices). Bonus: You can connect it to Google Assistant for voice-activated learning 2. Rasa (Open Source) Why: Offers full control over your bot’s flow, data privacy, and customization. Best for: Developers building curriculum-aligned, multi-language bots for classrooms or apps. Bonus: Can be deployed offline or within closed school systems. 3. Microsoft Power Virtual Agents Why: Drag-and-drop bot creation with strong parental controls via Azure. Best for: Teachers and school admins with limited coding experience. Bonus: Integrated with Microsoft Teams perfect for school-wide rollout. Cognimates (MIT Media Lab project) Why: Specifically designed for kids to build, train, and interact with AI bots. Best for: Learning AI through play - kids can build bots themselves! Bonus: Teaches ethical AI and data privacy in kid-friendly terms. Extra Tips: Always prioritize COPPA compliance (for U.S. children under 13). Include human-in-the-loop options for sensitive or emotional interactions. Use voice + visual aids for younger learners (e.g., integrating with Unity or WebGL games). ps: I dont mind setting up one for you, Say we come to an agreement

En Clarity.fm ganas dinero ofreciendo asesorías o consultas por llamada. Tú defines tu tarifa por minuto, y las personas te pagan por el tiempo que pasan contigo en una llamada programada. También puedes compartir tu enlace personalizado para atraer clientes directamente. El pago se procesa automáticamente después de cada llamada, y puedes retirarlo vía PayPal o transferencia, según la disponibilidad en tu país.

if you're based in the EU and have a valid VAT number, Clarity typically operates under the reverse charge mechanism for VAT. That means you usually won’t be charged VAT on Clarity’s fees, but you are responsible for reporting it in your own country under reverse charge rules. Your invoices will still show the relevant fees and earnings, and you’ll be able to download them from your account dashboard. Just make sure your VAT number is correctly added and verified in your account settings

At a high level, the key difference is who gets to participate and who controls access to the blockchain. Permissioned Blockchain (aka Private Blockchain) Access is restricted: Only selected participants can join the network. Governance is centralized or consortium-based: One company or a group of approved entities controls validation rights. Use case: Ideal for enterprises, supply chains, banking, or healthcare where privacy, compliance, and performance are critical. Examples: Hyperledger Fabric, R3 Corda, Quorum. Think of it like a corporate intranet secure, controlled, and tailored for internal stakeholders Permissionless Blockchain (aka Public Blockchain) Open to everyone: Anyone can join, read, write, or validate transactions. Decentralized governance: Network rules are enforced through consensus mechanisms (like proof-of-work or proof-of-stake). Use case: Cryptocurrencies, DeFi, DAOs where transparency and censorship-resistance are the goal. Examples: Bitcoin, Ethereum, Solana. Think of it like the public internet no barriers to entry, but also no control over who participates. Here is my final thought The choice between permissioned and permissionless boils down to trust vs. transparency. Enterprises often choose permissioned for performance, privacy, and compliance. Startups and Web3 builders lean toward permissionless for openness, innovation, and community-first growth.

If you already have a blockchain community, you’re partway there. Blockchain is a subset of deep tech, so transitioning to a broader deep tech focus means expanding the scope while preserving trust and engagement. 1. Redefine the Narrative Frame the shift around "emerging tech convergence". Start showing how blockchain intersects with other deep tech domains like AI, quantum computing, IoT, and biotech. You’re not abandoning blockchain - you’re evolving the conversation. Example post: "What does AI + blockchain mean for decentralized identity? Let’s dive in..." 2. Invite New Experts & Voices Bring in speakers, writers, and moderators from other deep tech fields. Host Twitter/X Spaces, AMAs, or short-form interviews. Highlight synergies between blockchain and adjacent innovations. 3. Curate Cross-Disciplinary Content Start sharing thought leadership on: • AI safety & governance • Quantum-secure cryptography • Deep learning in decentralized finance • Robotics + Web3 automation This builds credibility and encourages existing members to think beyond blockchain. 4. Rebrand Gently Don’t hard-pivot. Rename or subtitle the community with terms like “Frontiers of Deep Tech” or “Beyond Blockchain: The Future of Trust, Autonomy, and Intelligence”. Keep continuity while widening appeal. 5. Run Experiments Pilot small sub-projects - like a newsletter, challenge series, or collab board - around other deep tech themes. Measure what your audience responds to and iterate. Bottom line: You don’t need to abandon your blockchain roots - just evolve them. A good deep tech community isn’t siloed; it thrives at the intersection of fields. Start sparking those intersections. Happy to help you roadmap the shift if you want a deeper strategy session.

Quick Take from a Petroleum Engineer: The Realities of Hydrogen and Biofuels in Aviation As a petroleum engineer by profession, I’m closely watching the energy transition and how it intersects with sectors like aviation. Airbus’s vision of deploying hydrogen-powered aircraft and integrating biofuels at scale is ambitious but it’s not without real-world constraints. Hydrogen: High Potential, High Hurdles Hydrogen-powered aircraft are technically feasible. But challenges remain in storage, safety, and infrastructure. Hydrogen’s low volumetric energy density means you need large cryogenic tanks, which disrupt aircraft design and payload efficiency. For short-haul flights or regional aircraft, hydrogen could become viable within the next two decades especially if green hydrogen production scales and airport refueling standards mature. Biofuels: More Immediate but Supply-Limited Biofuels, especially sustainable aviation fuel (SAF), present a more realistic short- to mid-term path. They can be used in current engines with minimal modifications and provide up to 80% lifecycle emission reduction. However, the main barrier is feedstock availability and cost. As a petroleum engineer, I see potential in refining waste oils and non-food biomass but scaling that to meet global jet fuel demand is a monumental task. Bottom Line From an engineering and market-readiness perspective: Hydrogen is a long game, with 2035–2040 as the earliest realistic timeline for commercial deployment. Biofuels are today’s transitional solution, but they need massive policy and supply chain support to scale affordably. We need parallel innovation tracks: advancing aircraft design, reforming fuel policies, and investing in refining tech that bridges petroleum and renewables. Curious to hear from others in aerospace and energy - what timelines are you seeing on your end?

“How Can I Sell My Information?” You're already sitting on valuable knowledge - now you just need a way to package, position, and monetize it. Here’s a simple framework: 1. Package It as a Transformation, Not Just Data People don’t buy information - they buy outcomes. Instead of saying “I know X,” ask: What problem does this information solve? Who desperately needs it? Package your expertise as: • A 1:1 consulting offer • A digital product (PDF, toolkit, template, checklist, mini-course) • A paid newsletter or community • Workshops or cohort classes 2. Pick the Right Platform Where do your target customers already go for help? Sell on: • Clarity.fm (like you're doing!) • Gumroad, Podia, or Teachable for digital products • LinkedIn or Reddit for B2B trust • Fiverr or Upwork for execution + info 3. Prove You’re Worth Listening To People pay when they trust the messenger. Start by: • Sharing small wins or case studies • Giving away a useful freebie or insight • Collecting testimonials (even short ones from DMs) Bonus Tip: What feels “obvious” to you may be priceless to someone else. Your lived experience, your systems, your failures - they’re all monetizable once you wrap them in a solution.