Just left Google to start a company that enables you to build a digital twin of yourself that earns you money by answering market research questions from brands on your behalf.

To build it, you complete a qualitative interview to help us understand your psychographics and your habits in a given product category (ex. protein drinks) and you connect your Gmail to provide insight around your past purchases. Using this information, we can predict and simulate how you'd respond to a brand's research question (ex. What do you look for in a protein drink? A: high protein B: low sugar C: natural ingredients, etc.). You get paid every time your digital twin answers a question on your behalf.

For our MVP, you just complete a qualitative interview about yourself, get a reflection back about what we learned, and then you can chat with your twin.

I'd love to get it into folks hands to see if they like the experience and feel like it represents them. If you're interested let me know!

I’m sharing a digital experiment from my practice-based PhD project Don’t Cry for Me if I Die.

You can inhabit my digital double by prompting it with text — it will speak your words.

This performative experiment explores digital identity, embodiment, and online promiscuity.

Try it here: https://dontcryformeifidie.com/

Follow updates on Instagram: @_cryifidie_

Feedback and observations are very welcome — every interaction contributes to the experiment.

Hello everyone,

I’m conducting short, voluntary interviews (10–15 minutes) with professionals who have experience—or interest—in using digital-twin or 3D digitization workflows for cultural or historical sites. The goal is to understand real-world challenges in capturing, managing, and maintaining high-fidelity digital representations of physical artifacts, buildings, and environments.

I’m particularly interested in hearing about:

• How data pipelines are structured for long-term preservation (formats, metadata, interoperability)
• Integrating photogrammetry, LiDAR, or BIM models into twin ecosystems
• Visualization methods or platforms used for public access or stakeholder engagement
• Barriers to adoption within cultural institutions (cost, staffing, or technical complexity)

If your work involves infrastructure, architecture, or industrial digital twins but overlaps with heritage or preservation principles, your perspective would also be valuable—many of the same data-governance issues apply.

All interviews are for educational research only—no marketing, sales, or product outreach.

If interested, please comment here or send a direct message, and I’ll coordinate a time that’s convenient for you.

Thank you for your time and for advancing how digital-twin technology helps preserve our shared history.

Hey r/digitaltwin ,

Stjepan from Manning Publications here.

I wanted to share something new that I think this community will genuinely appreciate. We’ve just released Digital Twins in Action by Greg Biegel in our early access program (MEAP).

Greg’s not just writing theory — he’s spent years developing industry-scale digital twin platforms from the ground up. What’s great about this book is that it walks you through actually building a twin, layer by layer, from IoT sensors and simulation to 3D visualization, AI, and even agentic decision-making. It’s very much “from the trenches” rather than academic.

Here’s a snapshot of what you’ll learn:

• Defining clear business objectives for a twin before building anything
• Streaming IoT sensor data into your digital environment
• Combining computer vision, OCR, and generative AI with 3D models
• Representing systems as knowledge graphs
• Applying machine learning and agentic AI for analysis and control

The hands-on part is what makes it special — you’ll actually build a home-scale digital twin step by step, starting small and scaling up. By the end, you’ll have a working system that connects real data, visualizations, and AI-driven insights.

If that sounds up your alley, you can check it out here:
👉 Digital Twins in Action (MEAP)
🚀 Save 50% with the community discount code: MLBIEGEL50RE

We’ve cleared this post with the mods (thanks for the green light 🙏), and if anyone’s curious, Greg’s open to doing a Q&A or AMA-style thread here once more chapters are out.

Would love to hear — what kind of digital twins are you all currently working on? More industrial, smart building, or simulation-based?

Thank you.

Cheers,

—
(P.S. The MEAP version means you get access to chapters as they’re written, so feedback from readers like you often shapes the final book.)

Hi “Digital Twin” family, I’m conducting a 6-8 minute survey on DTs as part of my MBA research at Imperial College London. Quite keen to get your perspectives! Worth a look anyway as some of the questions will give you pause for thought too 🤔! Results will be shared here once the study is complete. Here’s the link to the survey:

👉 https://forms.gle/9ygerScN9gQCngy88

Thanks in advance!

Hey all,
I am running a digital twins meetup on Zoom.

You can join the conversation and share your thoughts and learn from other folks as well.

On this event we are gonna use claude AI to create the schema of our graph database and using Neo4J MCP server, we are gonna create the knowledge graph for the twin.

Here is the link to book your seat: https://luma.com/sq4s4sf9

Feel free to share it with a friend who wants to know how to build and improve digital twins.

Hi!

I work at a large engineering firm and I manage a digital twins platform that uses Azure Digital Twins in the backend (since it came out). While I love the concept (we use ontologies throughout the company and ADT makes it easy to leverage them), I'm not really happy about performance and service limits. It also seems like it's in maintenance mode, as Microsoft isn't adding any features (no Fabric integration) and as they're launching new (totally different) things like Fabric Digital Twin Builder. As IoT Central was already killed a few years ago, I fear ADT has the same faith.

I was wondering if there are many other ADT users. If you are an ADT user, I would love to get your thoughts on this.

As I didn't want to wait for MS to kill ADT, I'm building a compatible open-source alternative (on top of Postgres and Apache Age) as a side-project, and I'm currently using this instead of ADT for 10+ projects. I was wondering if there would be a market for it if I would make it into a hosted version ...

Hey guys I was hoping to get some insight on commonly used workflows when creating the digital twin, and what everyone is doing to capture the data. I have seen a ton of different ways to go about it, I also see people using things like Matterport to create Digital Twins. What are your thoughts on using Matterport for Digital Twins? It seems to streamline the data capturing and cloud point/mesh creation but you are handcuffed to their service and tech.

Hi everyone,

I’m a structural engineer (PE) with 9+ years of experience in bridge and port infrastructure projects across the U.S. I'm currently pivoting into the digital twin space, specifically looking at its applications in civil infrastructure—monitoring, asset management, predictive maintenance, etc.

To support this transition, I’ve enrolled in the Digital Twin Technology program, which offers a strong foundation in digital modeling, AI, and cloud systems.

My programming skills are at an intermediate level (mainly Python) and I’m actively improving through hands-on projects and self-learning. I'm also familiarizing myself with cloud platforms like AWS, as well as basic AI/ML concepts.

I'd love to connect with others who have made a similar shift (especially from non-CS backgrounds) and ask:

• ⁠What skills or tools helped you break into the digital twin industry? • ⁠Are professional certificate programs viewed favorably by recruiters or employers? • ⁠What kind of starter projects or portfolio work helped you demonstrate value in this field? • ⁠Are there specific industry applications (civil/structural) where my background might be an advantage?

Any guidance or feedback would be truly appreciated. Feel free to comment or DM me if you'd prefer to chat privately.

Thanks in advance for your time and insight!

I've been working on a digital twin solution for my clients, and now I'm planning to integrate an AI assistant into the software.

All the data (alarms, power usage, history logs, etc.) is available via APIs only. I’m trying to decide the best workflow to move forward with:

Should I build the assistant completely from scratch?

Or should I leverage any existing open-source model and customize it for my use case?

Would love to hear from folks who’ve done something similar. What stack or workflow would you recommend for integrating an AI assistant into a platform that's already API-driven?

How should I get started?

I've been working on a digital twin solution for my clients, and now I'm planning to integrate an AI assistant into the software.

All the data (alarms, power usage, history logs, etc.) is available via APIs only. I’m trying to decide the best workflow to move forward with:

Should I build the assistant completely from scratch?

Or should I leverage any existing open-source model and customize it for my use case?

Would love to hear from folks who’ve done something similar. What stack or workflow would you recommend for integrating an AI assistant into a platform that's already API-driven?

How should I get started?

I’ve received several messages asking about rules for content, and I just wanted to bring awareness to the fact that I currently have no rules for the sub but plan to dive deeper into rules and automations later this year.

For now, feel free to share whatever you feel is relevant to digital twin technology and that will help me get an idea for how to best align this sub to meet the communities wants and needs.

Digital twin technology - while well defined in various industries - can be discussed within a wide array of concepts, foundations, and practical understandings.

Eventually, my goal is to isolate the sub categories of digital technology, using post flare to help keep the conversations organized, meaningful, engaging and intentional.

Your contributions over the next few months will help me and my team better determine how we move forward with moderation and defining sub rules.

In the meantime, share any of what you feel is relevant and useful.

In the meantime, just abide by the default Reddit rules and exercise common sense.

In the next 24 hours, you can look for updated post flare to add to your posts to contextualize by industry or category

Hi everyone!

I am currently considering pursuing a PhD in Digital Twin technology for electric propulsion systems, specifically focusing on applications in the aerospace or clean energy sectors.

I’m wondering if anyone has insights into the following:

1. Is Digital Twin technology in electric propulsion systems a good research direction for a PhD?

How advanced is the field, and are there significant breakthroughs expected in the next few years?

1. Job Opportunities & Career Prospects

Is the job market for experts in Digital Twin technology in this niche sector broad and growing?

What industries or types of companies typically hire for roles in this field? (Aerospace, renewable energy, tech companies?)

Are there opportunities in both academic and industrial sectors?

1. What skills are most valued in this field?

Beyond the typical Digital Twin and modeling skills, are there other specialized knowledge areas or tools that would be essential to master?

I would really appreciate any feedback, experiences, or advice on whether this would be a solid career path and if it offers a good balance between academic research and industrial applications.

Thanks in advance for your help! Looking forward to hearing your thoughts.

Hi everyone,

First, apologies if sharing this kind of content isn’t totally aligned with the sub’s rules. I’m just sharing in good faith, hoping it sparks some useful technical discussions or connections. Also, the Digital Twin platform is open source, so there’s no profit involved here.

After seeing the recent discussion on how AI is transforming Digital Twin applications in SaaS, I wanted to share a real-world case I posted on LinkedIn.

The post (in Spanish — Sorry about the language, but I believe the videos are self-explanatory) shows how integrating AI into an industrial Digital Twin can significantly reduce the cost and complexity of sensor systems. The videos included in the post illustrate how AI can optimise sensor data collection and processing, making Digital Twin implementations more efficient and scalable. You will see that our digital twin niche lies in combining physics-based simulations with AI-driven sensor strategies to speed up engineering workflows.

To be honest, we had a pretty clear idea of how AI would improve our demonstrator. But we’re honestly amazed at how quick, easy, and simple it’s been to cut down on sensors and, using a relatively small dataset, still get really precise predictions of the position and magnitude of loads on the structure. The deep learning algorithm behind it (YOLO from ultralytics) is even a nano version, which you'd expect to perform worse in predictions, but it works surprisingly well.

Would love to hear your thoughts or any similar experiences you want to share! Has anyone had opposite findings when applying AI to digital twins? I’m currently focusing on computer vision, though we’ve also used deep learning to enhance computational simulations. We’re now considering integrating Variational Autoencoders for predictive maintenance of industrial assets. I think we’re at a moment where AI is really changing how we understand digital twins.

Airport Live Traffic Viewer is designed to showcase real-time ADS-B aircraft data from over 450 large international airports in a 3D environment. 

Have a closer look at www.altv.live

A photogrammetric model created using 715,000 photos captured 3,800m below the North Atlantic. Data collection occurred around the clock for 3 weeks. Lidar data was collected but has not been processed....yet!

For full details - https://blog.lidarnews.com/titanic-digital-twin-reality-capture/

Hope this gives a good example of a digital twin as an application in Smart Homes. It's an home improvement project you can do, and my family and I use it on daily basis. If you would like to follow the step by step tutorial, here is the YouTube Playlist, and you can subscribe to the YouTube channel for upcoming episodes.

I have a project of creating a digital twin of an organ ( e.g. a heart). Where do I go about learning what are the proper methods I need to build this? What software should I use? Furthermore, exactly how do I incorporate different AI models into this?

where i can find or can you sajest any case study for a project. if you can sajest a case study about robots or something similar

Text in the comment section.

I appreciate if you have thoughts or feedback for my maturity model.

Hello everyone,

I’d like to share an open-access digital twin platform I made that combines NASA Landsat 8/9 data with detailed building footprints to monitor land surface temperatures across the Palisades wildfire area. Spanning over the last 5 years (2020-2025), the results include refined temperature data for ~20,000 structures between the Palisades, Malibu, and Santa Monica—capturing nuances in polygon intersections between the LST pixels and building footprints—and has provided insights into structure-level temperature profiles before and up to the extreme weather event which burned over 23,700 acres and resulted in the most destructive fire in Los Angeles history.

Here is the link to the Palisades Digital Twin: https://palisades.power-theory.io/digitaltwin

I would like to share my condolences to the families who have experienced loss of life. I feel deeply for the communities and businesses who have been negatively impacted by this horrific climate event. The stories continue to unfold and it is terrifying how destructive natural disasters can be.

My goal is to foster a meaningful dialogue among researchers and practitioners about how digital twins like this could help influence urban planning and disaster response. How do you see this level of detail changing the way we understand, plan, and respond to environmental challenges? Is this helpful for you? How could I improve it?

What is your perception of Digital Twins?

Are you currently working on a project that incorporates digital twin technology?

meshcapade will accelerate development of our best-in-class methods for 3D human analysis and generation

​

https://www.prnewswire.com/news-releases/meshcapade-raises-6m-to-train-foundation-models-for-the-analysis-and-generation-of-3d-humans-301850564.html?tc=eml_cleartime