In partnership with
Good morning 👋 Founders are shipping faster than ever—and not by writing more code. This week, we’re covering tools that compress workflows, generate launch-ready products, and replicate your voice or UI with zero lift. Whether you’re building, writing, or testing, the bar for MVP just got lower (again).
In this issue:
Why one AI-built app sounded like you—and the others didn’t 🗣️
This backend-first Twitter clone flips the dev stack in 20 minutes ⚙️
Figma Make turns plain prompts into testable UX flows 🎨
Cursor 2.0 is packed with new features 💥
Join Derek Jeter and Adam Levine
They’re both investors in AMASS Brands Group. You can join them and get up to 23% bonus stock. But only if you invest by Thursday, Dec. 4.
Why invest? They’re growing fast. Their brands cover everything from organic wine to protein seltzers. So with consumers seeking healthier options in the $900B beverage market, it’s no surprise AMASS has made over $80M to date, including 1,000% year-over-year growth.
They have even more ambitious plans for the future too. They’ve reserved the Nasdaq ticker $AMSS, enlisted a major investment bank to fuel their growth, and plan to 3X their retail footprint by 2028.
But your chance to amplify your investment with bonus stock ends soon. Become an AMASS Brands Group shareholder and secure your bonus stock by Dec. 4.
This is a paid advertisement for AMASS’s Regulation CF offering. Please read the offering circular at https://invest.amassbrands.com
Content Creation
TL;DR: PostIdentity is a lean, purpose-built writing tool that clones your voice to generate polished social content. It’s not trying to replace ChatGPT—it’s fixing the pain of keeping your tone consistent across posts, brands, and platforms. Think of it as persistent AI brains for social media.
You upload 3–5 of your own posts; the AI learns your rhythm, tone, and phrasing.
You get back ready-to-share content in your exact style—no editing needed.
Unlike ChatGPT, PostIdentity manages multiple brand voices at once, with faster turnaround and side-by-side comparison.
Built-in Chrome extension pushes content directly to X and LinkedIn in one click.
The gap between “thought” and “post” is still a bottleneck for creators and founders. PostIdentity isn’t about writing better than you—it’s about writing as you, at scale. For solo builders juggling multiple brands, this turns voice into infrastructure.
App Building
TL;DR: Learn to build a working Twitter-style app from the backend up—using Xano for API/database logic, Cursor for AI-assisted backend development, and Lovable to auto-generate the frontend. No mockups. No fake data. Just a real, deployable product with full user auth, tweet posting, and feed display—all built in under 20 minutes.
Xano is used to create the app’s core backend: database tables, API endpoints, and logic flows, all visible via a node-based interface with optional AI help.
Cursor (with a Xano plugin) handles code generation: using Claude-instant 4.5, the dev builds full backend functionality—auth, tweets, likes—via prompt-to-plan-to-code flow.
Swagger API docs are copied from Xano into Lovable, which auto-builds a frontend UI wired to the live backend, including signup/login and posting.
Final result: a full-stack Twitter clone with real-time data sync, user actions, and full database persistence, all tested and verified.
This is backend-first dev in action—an approach where the backend defines the product, and the frontend becomes a pluggable interface. It flips the usual flow and cuts dev time drastically. With tools like Cursor and Xano, AI isn’t just assisting—it’s helping ship production-level software in minutes.
The AI Insights Every Decision Maker Needs
You control budgets, manage pipelines, and make decisions, but you still have trouble keeping up with everything going on in AI. If that sounds like you, don’t worry, you’re not alone – and The Deep View is here to help.
This free, 5-minute-long daily newsletter covers everything you need to know about AI. The biggest developments, the most pressing issues, and how companies from Google and Meta to the hottest startups are using it to reshape their businesses… it’s all broken down for you each and every morning into easy-to-digest snippets.
If you want to up your AI knowledge and stay on the forefront of the industry, you can subscribe to The Deep View right here (it’s free!).
AI Design
TL;DR: Figma Make is an AI-powered tool that lives inside Figma and converts static designs—or plain text prompts—into fully interactive prototypes. No manual wiring, no external dev tools. It’s built for designers, PMs, and founders who want to move fast, test ideas, and skip straight to live feedback.
You can start with a visual design or a sentence like “A minimal checkout flow with discount field and confirmation screen.”
Figma Make adds logic, interactivity, hover states, and responsive layouts in minutes—automatically.
Built-in tools let you iterate with new prompts, edit UI or code, and test across desktop and mobile with consistent logic.
Prototypes are easily shareable via links or published to a staging domain for user testing and stakeholder review.
Most teams get stuck showing static mocks when what they need are real experiences. Figma Make closes that gap. It collapses days of prototyping into minutes, shortens the loop between idea and insight, and helps teams validate UX before writing a single line of production code.
Cursor 2.0
TL;DR: Cursor 2.0 now acts like an AI-powered dev team in one IDE—building full apps with parallel agents, embedded browsers, and blazing-fast code generation. Paired with TestSprite, it stress-tests your Rails app in real time, flagging bugs and logic gaps before you merge.
The demo shows Cursor spinning up a Pinterest-style Rails app from a prompt, then using TestSprite to auto-generate and execute tests from a PRD (even when one didn’t exist).
Cursor handles project scaffolding, code edits, and local server testing—all inside its UI.
TestSprite analyzes the app’s UI and backend, runs 15+ validation tests, and confirms edge cases like missing titles or broken image layouts.
Combined, they form a continuous build-test loop powered by AI—where one agent builds features and another breaks them on purpose.
Building fast is easy. Building safely is hard. This workflow collapses the time from feature idea to tested output, letting solo devs or small teams ship with confidence. If you’ve ever launched without tests and hoped for the best, this combo could change how you work.
Want to sponsor this newsletter? This newsletter goes out to thousands of creators, builders, and early-stage founders every week. If you’d like to get your product or brand in front of them, you can book a sponsorship slot here
