BambooGrid – Open-source web UI for power grid modeling and power flow
Hi HN, I am co-founder of Kickstage, a software company specializing in solutions for the electrical industry and lately grid operators.We are hiring engineers from different backgrounds, a lot of them software developers with limited experience in the sectors. Deep domain knowledge is key in our industry however, so we are constantly teaching the basics of power flow analysis, active vs reactive power, transmission line properties etc.With Jupyter notebooks and the Python console only, that's a tedious task and hardly ever led to a deep understanding of the topics.So we built BambooGrid: a web-based editor on top of pandapower, a popular simulation library in our industry. You drag elements like buses, lines, loads generators and transformers onto a canvas, wire them up, set parameters and run power flow. It will print results directly on the canvas, color buses according to their voltages, even allows you to see an interactive admittance matrix.You can try it out without installing anything on https://bamboo.kickstage.com (thanks to our friends at Hostzero who sponsored hosting). Start with one of the included samples or draw your own. Just don't forget to add a slack element.Built on a Python backend (driven by the choice of pandapower mainly) and a React frontend. Fully MIT licensed, so feel free to use and modify to your liking. Even better: Give us feedback - we're extremely open to suggestions how to improve the tool and are glad about every user who learns a bit more about power systems through it.Šime, who built most of this, is also in the thread. We are both happy to answer anything about the implementation or power systems in general.
FL score
out of 100
Verdict
high confidence
Competition
No competitor data yet
Trend
No signal yet
Visual power grid simulator that makes electrical engineering concepts teachable and accessible to non-domain experts.
The pain
The gap
Build angle
Strengths
- Solves a real problem for a specific, identifiable audience (power industry engineers and students)
- Built on established, trusted simulation library (pandapower) rather than reinventing physics
- Already deployed and usable with zero installation friction
- MIT license removes legal barriers to adoption
- Founders have domain expertise and direct feedback from users
- Visual interface is genuinely novel in this space, most tools are CLI or notebook-based
Risks
- Market size unclear: How many people actually need to learn power flow analysis? Is this a one-time onboarding tool or recurring use case?
- Monetization path undefined: Open-source MIT license is great for adoption but creates tension with building a sustainable business
- Competitive threat from established players: PSSE, DIgSILENT, Matpower are entrenched. They have sales teams, support, and institutional lock-in
- Feature creep risk: Power systems modeling is deep. Staying simple enough for learning while useful enough for real work is difficult
- Dependency on pandapower: If that library stagnates or changes direction, BambooGrid is affected
- No evidence of external demand: Feedback so far is from HN and internal users. Unknown if grid operators, utilities, or universities would adopt
Fly Labs Method
Is the pain real, is there a gap, is it the right time, can one person build it.
Value Equation
Dream outcome and how likely it feels, against the time and effort it costs.
One-Person Business
Curiosity pull, identity fit, and a path from free value to paid for a solo creator.
Viral Frameworks
Hook strength, shareability, and how cheaply it can be tested.
Builder Lens
Evidence the problem exists, timing, defensibility, and a model that fits on a napkin.
Five lenses, one composite. How scoring works
The angle
No market research recorded for this idea yet.
Semble – Code search for agents that uses 98% fewer tokens than grep
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Hey Hacker News! I'm Eric, the founder of Consus. We route all AI requests to ITAR restricted and controlled unclassified information (CUI) compliant infrastructure. Consus itself satisfies ITAR restrictions, and we recently completed our FedRAMP equivalency audit against the 410 FedRAMP High controls. FedRAMP High is the U.S. government’s strictest security baseline for cloud services handling sensitive unclassified data. A breach of this data could cause severe or catastrophic harm. Achieving FedRAMP equivalency, or authorization, is required before processing CUI information.Demo: https://youtu.be/6MYxJe6P4oYAerospace and defense is experiencing rapid growth. Unfortunately, most companies are struggling to use AI because of necessary data protections & compliance risk. These companies can move even faster if they could use the AI tools that most other industries take for granted.I spent most of my career prior to Consus in aerospace & defense. I launched national security payloads at SpaceX, and was an early employee at Castelion. I’ve watched first hand how compliance red-tape makes it difficult for companies to adopt new technologies and trust vendors that touch their sensitive data. For example, I worked with a satellite manufacturer that doesn’t allow any AI tools, even for non-sensitive work.Even as AI has become extremely useful over the past 9-12 months, I was surprised by how many aerospace & defense companies refused to touch it. They could see how it could be helpful, but they were scared about model providers training on their data, violating an ITAR rule, or risk losing new business because of a failed cyber assessment. These are all rational fears.There were a lot of ways to solve some/all of these problems, but we focused on building a compliant AI inference layer that can "plug" into any AI tool or workflow. Just as OpenRouter integrates with most tools, Consus can connect to tools like ChatGPT or Clau
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