Alex Chu (Influencer Marketing AI Agent)

I have to say, your product is really great, I love it very much, it works very smoothly, and the images are exactly what I wanted!

The automatic model selection is smart - choosing between 20+ SOTA models manually would be a nightmare. Quick question: how does the AI Director handle visual consistency across scenes? That's usually where AI video generation falls apart - character looks change, lighting shifts randomly, style drifts. Does CrePal have some kind of style/character lock mechanism? Also curious about the...

💡 My Addition: Start with Micro-Communities Before Big Influencers Great breakdown, Nika! From my experience building products in US markets, I'd add a strategic layer that's often overlooked: Build credibility in niche communities FIRST, then approach influencers. Here's why this works better: 🎯 The Community-First Approach: Establish Product-Market Fit Evidence Get real user testimonials from...

Hi Product Hunt community 👋 I'm Alex Chu, founder of Scrumball - the Influencer Al agent team that runs your entire marketing operation. What is it? Your personal AI marketing team. Just paste your website URL and watch three AI specialists launch, manage, and optimize your influencer campaigns in days, not weeks. Why now? 73% of brands can't prove influencer ROI. Traditional agencies take 3+...

The '3 minutes vs 3 days' positioning is bold. How does it handle specialized industry knowledge that usually requires consultant-level expertise? Curious about the multimedia rollout - building AI image, podcast, and video generation in one platform is technically complex. Are you developing these in-house or partnering with specialized providers?"

The all-in-one workspace approach makes sense - bouncing between multiple tools for research, writing, and presentation design is inefficient.The '3 minutes vs 3 days' claim is ambitious. How does Oreate handle domain-specific knowledge and industry nuances that typically require human expertise? Most AI tools excel at general content but struggle with specialized insights that consultants...

The temporal control improvement sounds promising for narrative videos. Most AI video tools struggle with maintaining story coherence across longer sequences - characters change appearance or scenes don't connect logically. 30% price reduction while improving quality is impressive if it holds up in practice. What's the trade-off though? Usually when costs drop that much, there's either reduced...

The one-way demo frustration is definitely real. We've all been there watching a 20-minute demo hoping they'll address your specific use case, only to sit through stuff that doesn't apply to you. The jump-to-moment feature sounds useful - that's probably the biggest time saver.

This MCP server juggling problem is real - I've definitely been there with the constant re-configuring across different AI apps. It gets old fast. The dynamic tool fetching sounds clever but I'm wondering about performance. If you're looking up tools on-demand instead of having them ready to go, doesn't that add latency to every request? Especially when you're chaining multiple tools together...

The omnichannel threading is smart - we deal with this constantly where customers start on email then jump to chat and the context gets lost. Really frustrating for everyone involved.80% automation sounds high though. We've tried a few AI support tools and they usually work great for simple stuff but completely break on anything that requires actual problem-solving. How does yours handle...

The minimal approach makes sense for the scenarios you described - students and developers who just need to get information across without design complexity. Most presentation tools do suffer from feature bloat that gets in the way of simple communication. How does Modul handle the balance between simplicity and necessary functionality?

The unified MCP server approach addresses a real infrastructure problem. Having to reconnect integrations across multiple AI apps is tedious, and context window limits do force tough trade-offs between tool availability and performance. How does the dynamic tool retrieval handle latency? If you're fetching tool schemas on-demand rather than having them pre-loaded, that could introduce delays...

The pet companion gamification approach is unique for religious apps. Most faith-based tools stick to purely traditional interfaces, so the interactive lamb growing with spiritual progress is an interesting design choice. How do you balance the gamification elements with the reverence that different denominations expect? Some communities might view the pet companion as too casual for scripture...

The visual memory model processing millions of hours of video sounds like a massive technical achievement. Building that kind of infrastructure and maintaining accuracy at scale is no joke. The natural language query interface is smart - 'Which influencers are best for promoting cat food?' is way more intuitive than drilling through filters and categories. That user experience could be a real...

The single prompt to complete course angle is compelling - we've seen how much time our team spends creating training materials from scratch when onboarding new hires. What caught my attention is the side-by-side AI model comparisons. That's actually brilliant for technical training where you want learners to understand different approaches. We constantly deal with "why did GPT suggest this but...

The tribal knowledge pain is so real. We literally had a developer quit last year and took all the context for our payment system with him. Nobody knew why certain edge cases were handled that way until we had to debug it at 2am.The persistent learning thing sounds cool but I'm curious - what happens when Terry from 2019 taught Terra some janky workaround that we've since fixed? Does it keep...

I think the failure of architecture, not effort line resonates hard. We've been through the same scattered workflow hell - Slack threads, random Google Docs, Notion pages that nobody updates. Your positioning as "pre-loaded system vs empty template" is smart. Most Notion templates are basically fancy to-do lists that you still need to figure out how to actually use. The 150+ content frameworks...

The "tribal knowledge" problem is real - we've lost weeks of context every time a senior dev leaves. Most AI tools treat every codebase like a fresh Laravel tutorial.

The indea inbox concept makes sense - we constantly bookmark things during research but never actually revisit them because there's no structure. The cross-platform sync from Chrome to mobile is smart positioning. Most capture tools either work great on desktop or mobile, not both seamlessly. What's interesting is the AI turning "fragments into structure." We generate tons of research notes,...