Hi guys, me and my friend made a fortune teller app it can look at 8 different kinds of fortunes(tarot, astrology, hand palm reading coffee reading etc..) and its in 6 different languages we would appreciate if you give some insights and suggestions its our first app https://play.google.com/store/ap...
While diving deep into AI system architecture, I came across an insightful video that sparked a fascinating idea, what if we could visualize AI components like a periodic table? This led me to design an interactive HTML version of an AI Periodic Table that helps decompose and understand the core elements powering today's most popular AI products and services! The AI Periodic Table breaks down modern AI systems into organized categories: Primitives: Prompts, Embeddings, LLMs Compositions: Function Calling, Vector Search, RAG, Guardrails, Multimodal Deployment: Agents, Fine-tuning, Frameworks, Red-teaming, Small Models Emerging: Multi-agent systems, Synthetic data, Interpretability, AI Thinking This interactive guide allows you to explore how different AI elements combine to create the intelligent products we use daily. Click on any element to learn its purpose or explore specific AI products to see which components power them. Check it out here:
Interactive AI Periodic Table I'd love to hear your thoughts! How do you approach understanding complex AI systems? What other elements would you add to this framework? Let's discuss in the comments!
I m Michael, a dev from Israel and a father of two. Last month, I stood in a gear shop feeling completely lost. My "aerodynamics" (aka my weight) had changed since the pandemic, and my old specs no longer applied.
I realized that even with Google and YouTube, matching boot size to waist width and weight to flex for 50+ boards in 30 seconds is a nightmare. So, I decided to "debug" the process and built:
Hi everyone. I ve posted in a few places online with questions about success and people s pasts. Most people faced tragic or crisis situations when they were younger things that were very difficult to overcome. Many of us have experienced seeing others achieve things faster than us or be more successful than us, and how deeply that can hurt, sometimes even destroy us.
To address this problem, I ve developed an MVP of an app, though it s still a work in progress.
Good traffic. Clear value prop. Strong Book a demo CTA.
And still people drop off before ever seeing the product.
That gap between click real product experience kept coming up in our own work, so we started building MeetRep, a way for prospects to see and interact with the product instantly, without waiting for a calendar slot.
I ended up building a small tool for myself that takes PMF survey answers plus basic customer data, shows which segments care the most, and suggests a short list of priorities for the next 90 days (who to focus on and what to fix first).
I ve just opened a waitlist and would love early feedback from founders wrestling with PMF: you can join here and try the free GTM planning canvas: https://pmfhunter.com.
What I m building: Seazonify is a weather-aware effects platform that lets developers and creators dynamically add season-based visuals and sounds (rain, snow, storms, sunny vibes) to their apps, websites, games, and experiences.
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