Kyle Bennett

Kyle Bennett

Startup Finance Analyst

About

Numbers are a big part of my work, but I care just as much about clarity and decision-making. I work with early-stage businesses and enjoy discovering products that help founders manage finances, reporting, and planning in a smarter way. I appreciate tools with clean experiences, thoughtful onboarding, and real usefulness behind the marketing. I’m always curious about software that saves time for small teams and helps people make better business decisions without needing a finance background.

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Forums

AI prototyping workflows for designers

I m a UI/UX designer and recently started exploring how AI can help bridge the gap between a Figma design and a more functional prototype.

Traditionally, I d create the UI in Figma and then build interactions separately. With the newer AI tools, I m curious how designers are changing this workflow.

For those who work with AI-assisted prototyping:

  • How do you go from Figma designs to functional prototypes?

  • Which parts of the process does AI handle well?

  • Where do you still prefer traditional Figma prototyping?

  • Have you found any tools that preserve the original design particularly well?

What tech stack is everyone using these days?

I m currently on Tauri, and I also have another project built with native Swift that s waiting for App Store review. After months of development, I can clearly feel that Tauri being frontend-based fits much better into today s agent/AI ecosystem:

  • AI is way more familiar with frontend stacks: React/Vue/TypeScript/etc. The code it generates is often more structured than what I d write by hand.

  • Tauri is cross-platform: Windows, Linux, macOS, iOS, Android (even if I don t need all of them right now).

  • A lot of tools for making promo videos/posters like Remotion are frontend-based. With AI agents, you can produce videos that are pixel-perfect: e.g., spin up a Vite dev server, let the agent read the HTML directly, and render it with Remotion exact replica. Totally different experience from Swift. (Though for Swift/iOS, Goldie is actually a great project for generating marketing visuals too.)

  • Building a C/S architecture with a frontend stack is cheaper it s all TypeScript, lol.

But there are also plenty of pain points:

  • On Apple ecosystem, you have to roll your own packaging & upload scripts nowhere near as smooth as Xcode. And they break after updates (looking at you, macOS 26).

  • You miss out on native Apple component styles and APIs. My Swift project uses lots of new APIs and device-specific features with Tauri I d need a bunch of plugins and FFI.

  • Cross-platform UI consistency issues seems like a Tauri classic, and also why many still choose Electron.

  • Rust well, not a problem for me. And with AI + clippy, the Rust code isn t just fast, it s also fast. Good enough for most cases.

  • IAP requires your app to be a .app bundle can t just tauri dev for debugging, so that s extra workflow overhead (I now have 10+ scripts in my repo just for packaging).

  • Icon issues on macOS with Tauri, icons might appear too big at first, then too small later. Xcode is still the boss here.

  • etc.

12d ago

How do you implement AI quota controls for indie web products?

Adding AI features to indie products often brings unexpected API cost spikes. I ve been testing user-level rate limits, token quotas and cached responses to keep spending predictable.

I m curious to hear practical approaches from other builders:

  1. Do you enforce hard monthly caps for every user?

  2. What fallback workflows do you offer once AI quotas are exhausted?

  3. Which caching strategies work best for repeated AI requests?

Many generic guides skip these operational details, so real production experience would be really helpful.

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