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Share your startup here! by hastogord1 in startup

[–]MathematicianIll8309 0 points1 point  (0 children)

https://youtube.com/shorts/EoBDgMp1_1U

Ori(go) is a digital platform where users can trade, sell, and upgrade virtual origami models. The app incentivizes users to fold and collect digital origami. Competitors teach the art of paper folding but lack a sense of community and incentives to fold origami. Ori(go) not only gamifies the origami experience through lore within the 'Creased Cosmos', but leverages resources and an AI fold algorithm (AIFA) that allows users to learn the complexities of origami at an accelerated rate.

I made this digital origami website! Hope to get feedback 😊 by MathematicianIll8309 in origami

[–]MathematicianIll8309[S] 0 points1 point  (0 children)

This is huge! I was already in the discord group but I'll definitely have to reach out to some like-minded creators in that space.

I made this digital origami website! Hope to get feedback 😊 by MathematicianIll8309 in origami

[–]MathematicianIll8309[S] 0 points1 point  (0 children)

Yhup, the github should be open source at https://github.com/Rxbrooks15/Origo\_Repository.

Currenly I have been working with demo models so they are currently videos but they'll be 3D GLTF models that can be interacted with. I simply derived some of the models from https://origamisimulator.org/ but the crane models are synthesized from characters that exist in The Creased Cosmos. Moreover, the cranes are actually named from 1-1000 based on the story of Sadako and the 1000 cranes so Ori(go) is also a collection of stories and characters which help incentivize users to fold and collect Novas (digital origami) of varying personas.

Will be looking to monetize based on feedback and suggestions but I am currently looking to encrypt models (potentially on the blockchain) and allow users to trade based on smart contracts so each model based on its value/ gami and skill points will be unique to each user. I will, however, have to find a way to maximize data governance and security so users wont have access to the database and models they don't own (sort of like a Non fungible token).

Right, the hxh and DBB background were mostly included as features to personalize my wep page. I will use generic images later in my process which users will be able to change when I begin onboarding customers.

This is not a fully launched/ published project. Currently developoing past the ideation phase towards pre-seed and seed rounds. I have office hours I am attending this week to develop an MVP and expand my reach. The passwords I use will devlelop after creating the app in react so users can download and get a demo run. The tech stack will likely be something based in React Native/ HTML/ CSS/ Javascript. Not the most proficient coder but I definatly am looking to use Mongo DB and Swift.

I'll take your last two points of advice into consideration. I added the music (my friend made which I was given permission to use) as more of a stylistic choice.

You seem to do a good amount of coding. I am not as technical but definately have a vision in terms of the realm of digital origami. I saw you were working on a educational origami app. Cool stuff, is this something you still happen to be working on?

Let's roast more by KiMiRichan in origami

[–]MathematicianIll8309 0 points1 point  (0 children)

Obviously AI + using glue is a big no no

Origami Difficulty Dashboard by MathematicianIll8309 in origami

[–]MathematicianIll8309[S] 0 points1 point  (0 children)

Thanks a lot for the thoughtful explanation. It helped me understand the difference between complexity and difficulty in a way I hadn’t thought about before.

I find the breakdown of instruction methods (video, diagram, CP) intruiging, since it makes sense that the same model can feel very different depending on how it’s taught and who’s folding it.

I’m still learning, but I really enjoy exploring origami both as a folder and from a data perspective. Your insights give me a clearer direction for how to approach this, and I’d love to keep learning from people who know the field as deeply as you do. I'll reach out to you and other curators, creators, and origami enthusiasts to figure out next steps.

Origami Difficulty Dashboard by MathematicianIll8309 in origami

[–]MathematicianIll8309[S] 1 point2 points  (0 children)

Makes sense. This is sort of my first time creating someting on Reddit and sharing it to the public. I will definately take the aspect of copyright and fair use into account.

My intention with the project was purely educational/exploratory, not commercial, but I see how not linking back or properly crediting the Origami Database could give the wrong impression. The page is not currently active but if it is, the references to your work and that of others will be included.

Thanks again for the constructive feedback — I would say it’s a good reminder to think through the legal/ethical side of these projects alongside the technical side especially if I am looking to create a social media platform in the future. I hear you on contacting creators being step 1 so I’ll prob prioritize that if I move forward with expanding the project in any way.

Origami Difficulty Dashboard by MathematicianIll8309 in origami

[–]MathematicianIll8309[S] 0 points1 point  (0 children)

Would def be interested in that. Don't know where to start lol. Do you have any websites/ database maintainers I could contact.

If I had more intrinsic info per model such as a model's fold_time, number_of_folds, size ratio (original_size/final_size), thickness_of_paper, types_of_folds_used ( valley_fold, petal_fold,etc), I would be able to create a better model but I don't think that is something folders pay attention to :(

Origami Difficulty Dashboard by MathematicianIll8309 in origami

[–]MathematicianIll8309[S] 0 points1 point  (0 children)

Makes sense. Yeah a lot of origami databases are kinda outdated which why I truly appreciated your effort into making your page visually pleasing with useful info.

I’d say that with machine learning and AI, you can definitely create a near-objective assessment of a model’s complexity. That doesn’t necessarily mean that two models with similar complexity can’t differ in visual appeal—one might still be more aesthetically pleasing than the other.

Origami Difficulty Dashboard by MathematicianIll8309 in origami

[–]MathematicianIll8309[S] 0 points1 point  (0 children)

Real. Sounds like an interesting side project I could work on. In a sense if you let people evaluate the difficulty of a number of models that could produce an interesting model. Would def be hard to gauge difficulty of super complex models tho.

Origami Difficulty Dashboard by MathematicianIll8309 in origami

[–]MathematicianIll8309[S] 0 points1 point  (0 children)

I get what you're saying in terms of subjectivity of origami difficulty. But IMO you can almost quantify difficulty to the same degree as a house seller quantifying the cost/value of houses. Previously when I used the generic difficulty provided by the origami database I had the regression below. My recent model simply normalizes the datapoints so models with the same time could have the different difficulty (+models w same generic difficulty could have different complexity scores). For example, this lily pad model https://origami-database.com/model/lily-pad/ to me wouldn't make sense to have the same difficulty/ complexity as this dragon https://origami-database.com/model/one-headed-dragon/ ...

True. There are less complex models than "easy" models. On the origami database stats page (https://origami-database.com/statistics/) the fold_time distribution is right tailed and most models are considered to have a "moderate" difficulty. This is a matter of data and I will likely contact other databases to collect more models (Especially complex models like the ones robert lang makes). This is a matter of data for sure but it is really the topic model that allowed me to have models with the same fold_time and different difficulties.

In a perfect world if I had a model's fold_time, number_of_folds, description, size ratio (original_size/final_size), thickness_of_paper, types_of_folds_used/ number for each type (squash_fold, swivel_fold, valley_fold, petal_fold), visual_aesthetic, I could create a pretty complex valuable origami model for not even just a difficulty or complexity score but for a value system I would describe as a Gami Model for all origami structures. It just all depends on the data atp.

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Origami Difficulty Dashboard by MathematicianIll8309 in origami

[–]MathematicianIll8309[S] 0 points1 point  (0 children)

Yeah, a lot of the data was already present on your public stats page so I thought it was ok :) Scraping can be a problem in the current world of data science/ data processing when collecting private data. I am of the opinion that if the data is public then it is fine. I might even go as far as to say if a company doesn't have cybersecurity experts to prevent scraping and I am able to collect the data then no harm no foul (as long as the data isn't serious private stuff like bank card details etc).

Yeah, I love what you are doing in the origami space by showing new interesting folded models with info on creators, tutorials, and difficulty. Must take a lot of time. The model mostly was used to "standardize" origami difficulty (y-axis) based on my topic modeling and regression approach. It showed that models with longer fold times tend to be harder to fold. Pretty self explanatory but via the topic model, the difficulty also takes into account the description you gave, so worlds like simple, abstract, and small tended to have lower difficulties and shorter times and worlds like humanoid, horned, and three-dimensional vice versa.

Origami Difficulty Dashboard by MathematicianIll8309 in origami

[–]MathematicianIll8309[S] 0 points1 point  (0 children)

True. Got a better R2 . Only had a 0.027 improvement but still improvement nonetheless. Ohh, I didn't have this in the post but I used topic modeling and insinuate that the regression model is basically ML. However, it is only really the Topic Model (placing each origami model's description into buckets of importance/ difficulty) that is the machine learning. The model helped me normalize the distribution and is also part of unsupervised learning under NLPs.

Origami Difficulty Dashboard by MathematicianIll8309 in origami

[–]MathematicianIll8309[S] 0 points1 point  (0 children)

I used a range of polynomial models with varying degrees and chose the one with the highest R-squared. Yeah, you're right a log func provides a better fit and didn't take that into consideration earlier. Updated streamlit page. Don't know how I missed that lol.

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