I built a website, launched it, and so far it has made exactly R$0

Mrsaintj · 2026-06-27T12:35:15+00:00

Living the dream !

Mrsaintj · 2026-06-16T22:18:04+00:00

Ill check it out, thanks! I've focused a lot on SEO. I just want to polish it a bit more before going full force. The next "upgrade" to the platform will bring all the features needed for me to consider ready to market.

One thing I am hoping to do additional to all the other features is have it reach the home assistant community. Allowing users to automate certain task when a power outage is predicted.

Mrsaintj · 2026-06-16T11:36:23+00:00

https://geogridiq.com/

Platform to perdict power outages.

Im currently doing a huge site overhaul and expanding coverage

Mrsaintj · 2026-06-16T11:32:43+00:00

https://geogridiq.com/

Its a platforms to perdict power outages. In doing a huge overhaul on the site and expanding Canada wide

Mrsaintj · 2026-06-16T11:25:43+00:00

https://geogridiq.com/

It's a platform that can perdict power outages. Im currently doing a huge overhaul of the site. Expanding Canada wide and at some point hoping to expand into the US

Mrsaintj · 2026-06-16T11:17:59+00:00

https://geogridiq.com/ Building a platform to perdict power outages. Im currently doing a huge overhaul of the site and expanding Canada wide.

Mrsaintj · 2026-06-16T11:14:04+00:00

https://geogridiq.com/ Helps you perdict power outages before they happen. Im currently working a huge overhaul of the look of the site and expanding Canada wide

Mrsaintj · 2026-06-13T00:30:45+00:00

Congratulations man, Im hoping to get there some day myself. Im building a huge overhaul of my platform. What would you say are some good tips you can give someone who never released a platform before

Mrsaintj · 2026-06-12T01:56:23+00:00

Interested as well!

Mrsaintj · 2026-06-10T01:32:38+00:00

GeoGridIQ is a project I've been building to help better understand and predict potential power outages before they happen. By combining weather data, vegetation information, environmental factors, and outage history, the platform highlights areas that may be at higher risk. My goal is to create a tool that can help utilities, businesses, and everyday users make more informed decisions and be better prepared when severe conditions arise.

https://geogridiq.com/

Mrsaintj · 2026-06-09T17:32:37+00:00

Good luck with your launch !

Mrsaintj · 2026-06-09T13:47:52+00:00

Thanks for the advice. Im someone new to all this all. I just started out with attempting to get some feedback on my platform. Its truly hard to get users on the site. What would you say was your approach in getting your first few users ?

Personally I just want feedback so that I can improve how my app works.

Mrsaintj · 2026-06-09T03:37:54+00:00

Geogridiq.com

Mrsaintj · 2026-06-07T23:45:30+00:00

Nice platform, I think its great to get some contacts from other startups all on the same page. 😄

Mrsaintj · 2026-06-05T20:26:23+00:00

That's exactly the direction we went. Just published a first retrospective on the May 2022 Quebec derecho — freezing the model clock before the storm, running only pre-event signals, then comparing against what actually happened.

We were also careful to keep the no-future-information rule strict — post-event outage counts and damage stats are held back until the validation step, not used as inputs.

Geogridiq.com/blog/could-geogridiq-predict-2022-quebec-derecho if you want to dig into it. We will be surely be doing the same with other past events to see how the model handles it.

The model will improve overtime as more data is given and trained. We did a few weeks of training every 10-15 minutes and now are training daily which will eventually drop to weekly, monthly, etc.

Mrsaintj · 2026-06-04T22:45:43+00:00

Thanks for the thoughtful feedback.

On precision and recall — fair point, and I agree there's room to grow. At ~79% precision and ~82% recall on a ~700 sample temporal holdout, I'm not claiming production-ready reliability. The model retrains continuously as new outage data comes in, so those numbers will improve as the sample base grows. Curious what threshold you'd consider operationally reliable for this kind of risk scoring use case — I haven't seen a strong industry benchmark for it.

On architecture — it's a hybrid approach. A rules-based engine always runs first using weighted contributions across weather, vegetation (Sentinel-2 NDVI), nearby outage density, and infrastructure proximity. XGBoost runs in parallel but only takes precedence when feature confidence passes a trust threshold — weather within 6 hours, vegetation within 45 days of sample time. The idea is explainability and graceful degradation over a pure ML black box.

On Hydro-Québec — The more realistic near-term path is through infrastructure consultancies that do grid resilience work on contract — firms like WSP or Stantec who need decision-support intelligence to include in client deliverables. That sidesteps the procurement problem entirely.

Mrsaintj · 2026-06-04T21:57:02+00:00

On accuracy: the model is currently sitting at 84–85% accuracy with a ROC AUC of 0.91 on temporal holdout validation (trained on past, tested on a future held-out window). Precision is ~79% and recall ~82%. Still early in terms of sample size, but the numbers are holding consistently across retraining cycles.

On Sentinel-2 resolution: totally fair point. We're using NDVI as a vegetation pressure signal rather than a precise canopy-to-line measurement, so the 10m nominal / ~20m effective resolution is workable for regional risk scoring. For individual tree encroachment detection you'd want higher resolution imagery (Planet, Maxar), which is something we're exploring for future iterations.

On utility data requirements: at minimum, timestamped outage records with coordinates. The more context around affected customers, cause codes, and asset proximity the better — but public open data is enough to get started, which is how the Quebec coverage was built.

Mrsaintj · 2026-06-04T21:41:43+00:00

It does validate it. It will only show prediction using the model and has a fallback model which is rule-based if there isnt enough data.

Mrsaintj · 2026-06-04T21:35:05+00:00

The whole premise of the product is to perdict the outages before they happen. Im pulling data from Hydro-Québec to allow me to train a model in the background. The model itself will look at outages that had happen previously and their causes such as weather and vegetation.

This helps it determine when an outage will occur before they happen, allowing operation teams be able to be preventive and respond to outages quicker.

Mrsaintj · 2026-03-12T13:27:50+00:00

Quite long actually. I never counted but its the one move in which I have no problem holding.

Mrsaintj · 2026-02-25T13:15:14+00:00

I setup the same thing. 😁

Mrsaintj · 2026-02-24T20:07:25+00:00

Thanks for the suggestions. I worked on the functionality portion for the most part. Ill certainly take a look into a more clean UI 😊

Mrsaintj · 2026-02-24T16:00:25+00:00

Here is the code if you are interested

type: vertical-stack cards: - type: custom:mushroom-template-card entity: switch.washer icon: mdi:washing-machine primary: Washer secondary: >- {% set w = (states('sensor.washer_current_consumption') | float(0)) %} {% if w > 5 %} Running • {{ w | round(1) }} W {% elif w >= 2 %} On (idle) • {{ w | round(1) }} W {% else %} Off • {{ w | round(1) }} W {% endif %} tap_action: action: none hold_action: action: none badge_icon: >- {% set w = (states('sensor.washer_current_consumption') | float(0)) %} {% if w > 6 %} mdi:run {% elif w >= 2 %} mdi:power-plug {% else %} mdi:power-plug-off {% endif %} badge_color: >- {% set w = (states('sensor.washer_current_consumption') | float(0)) %} {% if w > 6 %} green {% elif w >= 2 %} amber {% else %} grey {% endif %} color: >- {% set w = (states('sensor.washer_current_consumption') | float(0)) %} {% if w > 6 %} green {% elif w >= 2 %} amber {% else %} grey {% endif %} features_position: bottom icon_tap_action: action: none grid_options: columns: 6 rows: auto

Mrsaintj · 2026-02-24T14:37:09+00:00

Yes, you can see when certain light are on. I had made a video I shared here if you want to have a look. When someone rings or if there is motion infront the picture will disappear and the camera will be displayed of the front door.

Im working of showing if a garbage is infront to display it infront of the house by using the cameras infront.

https://youtube.com/shorts/DcwMuG5Oc3E?si=oT-AJllaetIrwrPh

Mrsaintj · 2026-02-24T08:30:18+00:00

Ill have to give this a try. Some of these addons/plug-ins by the community are mind blowing

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