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I built an interactive live wind farm dashboard for Ireland

Hacker News

I built an interactive live wind farm dashboard for Ireland

This dashboard is a personal project I've developed to visualize every wind farm's energy production across Ireland. I'm trying to break into software development/data analytics sector and I wanted to build a project to practice my coding. I wanted to build a novel project rather than following along to a basic YouTube video project and not really learn anything. I'm interested in the renewable energy sector and after browsing the web noticed there isn't any public data on real time wind energy production in Ireland. I took the task onto myself to attempt to build a dashboard that solved this issue. It was a painful task at the start. I had very little coding background and I felt swamped by the sea of information out there. I didn't know where to start. I didn't know what tools to use or how to even approach a project like this. I didn't understand how I was going to make the dashboard interactive and how I was going to get my data to the user, how to store the data or how to even get the project online (if I could get that far). But after many many hours of development and a steep learning curve I finally created something I'm proud of. I can't say it's the sleekest project and under the hood there is definitely a lot of code that's janky, but on the surface it does what I set out to do! If you're interest in finding out more about the project there is an "About" page on the dashboard that gives an insight into how I created it. Please feel free to make any suggestions or comments!

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Actual performance

6points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, visual · Missing: mac, agents, macos
86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: personal, video, visualize · Missing: mobile apps, ios, entrepreneurs
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: real time · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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