Moda

I seem to be stumbling upon a lot of design tools lately, and each one is more impressive than the last! 🤩 Today's find is Moda.app ✨ At first glance - oh, it’s another AI design platform, but spend a few minutes, then you realize it's more of a design workspace (tadaahh 🎊) You can set up your own brand kit, create design spaces, and generate different design formats - from social media to HTML documents, intact with source code and everything. 📢 Things I liked ✅ Ample free credits that renew every month ✅ Brand kits for consistent outputs ✅ Supports HTML, PDF, PNG, JPG, and ZIP exports ✅ Import PDFs, PPTXs, and images as starting points ✅ Detailed controls for branding and marketing requirements ✅ Includes API and MCP integrations for advanced automation workflows ❌ Minor issue: If you manually tweak a design and then ask the AI to add new elements, the positioning goes a little off and requires manual adjustments. Overall, Moda shows a good balance between AI generation and customization. The outputs were clean, the features felt thoughtful, and the monthly free credits make it easy to explore without feeling rushed. So yayy! Here, try it out 👉 https://moda.app/ #AIDesign #GenerativeDesign #DesignSystems #DesignAutomation #AIAutomation

Over the past couple of weeks, I've been toying with my personal #HermesAgent from Nous Research. It behaves like your own personal employee, and the best part is that it grows along with you through the RL-layer, which makes this agent stand out specifically! This weekend, I built a unit economics modeling skill that turns "we think it costs ~$X" into a defensible, auditable cost model. What it does: - Decomposes every step of your value chain: raw materials → direct manufacturing → logistics → SG&A allocation → retail channel → tax  - Sources real cost data (not benchmarks): factory wages by country, container freight rates, tariff schedules, 10-K SG&A splits, contractor margins  - Produces three deliverables: a financial model (markdown), an ASCII flowchart (terminal-ready), and an SVG diagram (presentation-ready)    Why automotive/manufacturing folks would care: Typical Problem - "Our BOM says $42 but finance says $68" - Supplier quotes keep rising - New program quoting - Make vs. buy decisions What This Skill Solves - Reconciles BOM + labor + overhead + logistics + SG&A into one truth - Models exactly which cost buckets move (materials vs. freight vs. tariffs) - Builds should-cost from first principles before RFQ - Quantifies contractor margin (5-8%), overhead absorption, volume leverage Real example: Modeled a $130 Nike running shoe → only $18.63 (14%) goes to physically making+moving it. The brand machine (marketing + R&D + G&A) consumes $26.09. Nike keeps $17.24. The moat isn't manufacturing — it's the SG&A structure that justifies 3.5x physical cost. Same methodology applies to: - EV battery pack should-cost (cell → module → pack → BMS → thermal) - Chassis/body-in-white stamping + welding + paint - Motor/e-drive unit (rotor, stator, inverter, gearbox) If you're: a sourcing manager quoting programs or an entrepreneur building a hardware business — this changes how you talk about cost. DM if you'd like to give this skill.md a try. Illustrations created using Moda #UnitEconomics #Manufacturing #Automotive #SupplyChain #CostModeling #HardwareStartups #ShouldCost #MarginAnalysis

I just got off a call with one of our customers, and I'm still processing what he told me: he turned an 8-hour call into 150 slides overnight. Clarence Chio, CEO of Coverbase, was running a live POC meeting last week. They sell to banks, insurers, and large fintechs. Mid-presentation, he realized one of his slides was wrong. So he prompted Moda to fix it while he was still talking. By the time he advanced to that slide, it was already updated. That's not even the part that surprised me most. Coverbase was in a multi-day POC with a customer. They had 8 hours of content that they needed to convert into slides. Clarence dropped the session transcript into Moda and it made over 100 slides for them to use. It worked. He called it "a little risky." I called it insane. The good kind. Before this, he built rough slides himself, sent them to a designer, then got back something that looked nice but never quite encapsulated his ideas.  Now, the work that used to cost him $40k/year now happens inside of Moda.  His design team no longer does slide design, focusing on product and brand. The go-to-market team is self-sufficient. This is what I keep telling people about where AI in design is actually going. It's not "type a prompt, get a deck." It's the work happening in the background while you're already in the room. Thank you, Clarence, for surprising me with what my own product could do! Read the full case study below.