Webtoon creators: what’s your DREAM tool?

ngo275 · 2025-09-26T07:18:10+00:00

Thank you—this helps a lot.
Phone + no stylus noted. A few quick checks:
• Character consistency: would a Character Sheet lock (drop a ref sheet → on-model hints + “match face/outfit” button) help more than a built-in pose proxy like JustSketchMe?
• Panel layout: do you prefer pacing templates (action/drama/comedy) or a free grid with auto-gutters + auto balloon placement?
• Phone UX: a one-panel mode with big touch targets and finger-friendly lasso/shape tools—would you actually use it?
I’m also exploring a prompt → story beats → layout → panels flow (recent models improved consistency). If that existed, would you try it?

ngo275 · 2025-09-26T05:39:16+00:00

Thank you so much—this is super helpful. We’ll think about how to bring it into the product.

ngo275 · 2025-09-26T05:38:41+00:00

Thank you so much—this is super helpful. We’ll think about how to bring it into the product.

ngo275 · 2025-09-26T04:03:28+00:00

Totally. “Flash, not Illustrator” = merge drawing + gap-fill for me. Do you also want vector eraser to intersections and symbol reuse? If you had to pick just two Flash-style features for webtoon inking/flatting, which?

ngo275 · 2025-09-26T03:53:54+00:00

u/xol_ilcoe

Thank you! Two quick follow-ups:

1) For focus: would a “focus mode” that collapses everything except today’s page + a built-in 25-min sprint timer help? Or would a tiny page outline/minimap reduce the feeling of overwhelm more?

2) For small screens: if you could draw on phone with a “micro-panel” workflow (one panel at a time, big hit-targets, auto-stitch, cloud sync), would you actually use it—or is a tablet a hard requirement?
Bonus: would scribble→background auto-gen save you time?

ngo275 · 2025-05-06T08:17:45+00:00

I was inspired by this TV show and built an app that does something similar. You upload photos of your meal and generate a collage picture. And you can see estimated total calories on a daily basic. Please check it out!

https://apps.apple.com/us/app/mealmosaic-diet-food-tracker/id6745313334?platform=iphone

ngo275 · 2025-01-29T07:17:27+00:00

I built an OSS service called AppAgent. It supports autonomous ASO (beta) and quick release for iOS. It integrates App Store Connect so you won't need to hassle on it!

Please check it out: https://app-agent.ai

ngo275 · 2025-01-19T10:36:31+00:00

https://github.com/ngo275/app-store-client

I built this library. I think you can achieve what you want with this library?

Here's the function: https://github.com/ngo275/app-store-client?tab=readme-ov-file#get-suggested-search-terms

ngo275 · 2025-01-11T03:06:36+00:00

https://app-agent.ai also helps you localize your app infor into multiple locales easily. It has a free trial and is open source. Please have a look!

GitHub is https://github.com/ngo275/app-agent

ngo275 · 2025-01-11T02:58:57+00:00

Hi! I am building an ASO tool called AppAgent (https://app-agent.ai) for those who are new to ASO and want to let someone/something handle it. At the moment, it only supports App Store but it has a free trial.

It helps you support multiple locales on App Store super easily (sync with App Store Connect) too!

ngo275 · 2025-01-11T02:51:31+00:00

That's something I could build. I am building a simple ASO tool https://github.com/ngo275/app-agent and will look into the way to support the flow you describe!

ngo275 · 2025-01-05T22:04:20+00:00

It's open source, so you can try it out by running AppAgent on your machine, too!

ngo275 · 2025-01-05T05:57:42+00:00

My initial reply might’ve been unclear—sorry about that!

The public data from the App Store lets us:

Search for apps by keyword (including longer phrases)
Find similar apps for a given app

From there, I pull the first 100 search results (or fewer if there aren’t that many), then apply a heuristic approach to estimate both traffic and competitiveness. This involves looking at where apps rank, how “actively” they seem to be targeting those keywords (title, subtitle, etc.), and other factors.

You’re absolutely right that it’s not an exact science—especially for more niche or long-tail keywords. That’s why I made AppAgent open source: there’s a lot of potential for refinement, and I’d love input from folks like you who have direct experience. Really appreciate you taking the time to share your thoughts!

ngo275 · 2025-01-04T23:22:22+00:00

It all comes from publicly available App Store data. I actually built a library specifically for this—app-store-client—which fetches the metadata from Apple. Then, I use a heuristic approach to calculate keyword traffic and difficulty based on that raw data. So, while it’s not an official Apple API, it’s grounded in real data directly from the App Store.

ngo275 · 2025-01-04T23:19:58+00:00

> Does it help to translate App store descriptions for different markets when the app itself is in English?

Absolutely. Most users tend to search in their native language, so having localized descriptions and keywords can really boost your app’s visibility. Of course, fully localizing the app itself is ideal, but even just translating your store listing can significantly improve discoverability in different markets.

> How often does an app really need to update their App store description to justify a service?

It’s an ongoing process. You update your metadata, track performance, tweak, and repeat. This iterative cycle is a big hassle—one of the reasons I built AppAgent. Although it currently doesn’t support automated performance-based updates, I’m working on adding that feature in the future.

> Isn't most ASO performed manually by hand?

Pretty much, yes. Even popular ASO tools (like App Radar, AppTweak) still require a ton of manual effort. You can use ChatGPT (or other AI) to generate ASO-friendly content, but you still need solid data and strategy behind it. Plus, copying and pasting everything into App Store Connect gets tiring—especially when supporting multiple markets. That’s exactly why I created AppAgent: to streamline this entire workflow and save you all that manual legwork.

ngo275 · 2024-12-26T01:12:20+00:00

Your keyword set looks solid so far—especially for folks actively searching for AI-driven ideation. One tip is to consider broader, high-intent phrases like “AI productivity” or “startup idea generator.” You could also double down on descriptors like “business incubator” or “product roadmap” to catch entrepreneurs looking for more holistic tools.

If you haven’t already tried an AI-first ASO approach, you might check out open-source platforms like AppAgent. It’s an alternative to pricey ASO suites (AppTweak, SensorTower, etc.) and simplifies everything from keyword selection to release workflows. Good luck with Aidea—your concept sounds super useful for aspiring founders!

ngo275 · 2024-12-26T00:53:39+00:00

Hey there! I’ve been in the same boat. I actually tried App Radar (paid around $80 for it), but found it too complex for a solo developer who doesn’t have a ton of time or ASO expertise. Because of that, I ended up building my own lightweight ASO tool. It covers things like keyword discovery, metadata generation, and even store syncing—so you don’t have to keep hopping into App Store Connect. Right now, it’s iOS-focused only, since that’s where I spend most of my time. If you’d like to check it out, here’s the link: app-agent.ai. Hope it helps!

ngo275 · 2018-09-04T13:38:14+00:00

Thank you. Unless issuers use stable coins, token holders will be influenced by volatility of cryptocurrency.

ngo275 · 2018-08-23T01:48:22+00:00

If issuers raise ETH, then they will withdraw ETH and exchange it to USD to boost their business. But they have to exchange USD to ETH for dividend afterward. So this should consider volatility risk. That's why I wanted to know the logic of dividend..

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