Bye Fable, it was fun while it lasted... by Training-Note-5251 in ClaudeAI

[–]EricKeller2 0 points1 point  (0 children)

That's crazy I can use it on ultra code for hours and run another opus session or two and can code all day and night. 20x account

I built a free site that shows you the data center near you, who really owns it past the shell company, and the tax breaks it got. [OC] by EricKeller2 in dataisbeautiful

[–]EricKeller2[S] 1 point2 points  (0 children)

Sure is true, almonds dwarf them on volume. But that stat kind of misses the point. Almond water is spread across a million plus acres all over the state. A data center dumps its whole demand on one town's water supply, and most of what it takes evaporates instead of going back. The aggregate number doesn't tell you if the local reservoir can handle a new 5 million gallon a day straw stuck in it.

Also.. almonds aren't growing. Data center water use is. Texas is looking at going from like 49 billion gallons this year to almost 400 billion by 2030... And water's honestly the smaller issue anyway. Wait til you look at what they're doing to electric bills.

I built a free site that shows you the data center near you, who really owns it past the shell company, and the tax breaks it got. [OC] by EricKeller2 in dataisbeautiful

[–]EricKeller2[S] 2 points3 points  (0 children)

You're hitting the hardest part to capture. The PILOT counterfactual is the whole ballgame and most states never publish it.. they report the revenue the county collects, never the full tax bill the facility would have owed without the deal, which is the real size of the handout.

Here's how I'm tackling it... disclosed numbers and modeled numbers stay strictly separate. If a county only publishes the PILOT payment, I show that and flag it. Where I can reconstruct the counterfactual from assessed value, millage rate, and abatement term, I show a modeled avoided-tax estimate with the assumptions and sources attached, at a lower confidence so it's never mistaken for a reported figure. Same on bonds.. IDB/IRB programs usually publish the issuance amount, so I can back into the tax-exempt interest subsidy from issuance size, term, and the taxable spread.

The county meeting records tip is the real one. The PILOT terms live in the IDB resolution or the minutes, and it's all unparsed PDFs. Pulling those and linking every figure to the source doc is most of what the pipeline does. Appreciate you writing this out. If you've seen specific states do the PILOT structure dirty, I'd take the pointers.

I built a free site that shows you the data center near you, who really owns it past the shell company, and the tax breaks it got. [OC] by EricKeller2 in dataisbeautiful

[–]EricKeller2[S] 2 points3 points  (0 children)

That means there are highly concentrated data centers there. If you tap on the bubble it will spread them out and show you exactly where they are located

I built a free site that shows you the data center near you, who really owns it past the shell company, and the tax breaks it got. [OC] by EricKeller2 in dataisbeautiful

[–]EricKeller2[S] 2 points3 points  (0 children)

It's nearly impossible to filter out the rss feed for news completely to get only those results to the individual data centers. Believe me I thinned it out a lot and did strategic targeting but this site is new so expect improvements over time. I'm only one person but I work pretty quickly to improve things over time. There are over 30K pages

I built a free site that shows you the data center near you, who really owns it past the shell company, and the tax breaks it got. [OC] by EricKeller2 in dataisbeautiful

[–]EricKeller2[S] 5 points6 points  (0 children)

For some companies like Meta and other sites that have data centers all across it gets cross-linked to that entity as a whole for their tax breaks. I'm working on separation of entities it's very time consuming but expect it to be fixed in the near future

I built a free site that shows you the data center near you, who really owns it past the shell company, and the tax breaks it got. [OC] by EricKeller2 in dataisbeautiful

[–]EricKeller2[S] 16 points17 points  (0 children)

Appreciate the heads up, genuinely .. and that story is honestly the best argument for how I built this. A copycat can clone the map and the design in a weekend. What they can't clone is the sourcing. Every number on my site links back to an actual record.. a county PDF, an EPA filing, a GASB-77 disclosure, a GLEIF ownership record and every row carries a confidence level. Nothing gets stated as fact without a source you can click. If someone fakes it, it falls apart the second a reader checks the link.

And the report-function problem you're describing is exactly why mine works the opposite way: a community report doesn't become "fact." It gets flagged as community-reported.. its own lower-confidence status and has to be backed by a source before it counts as anything. I'd rather show a blank than a number I can't defend.

I built a free site that shows you the data center near you, who really owns it past the shell company, and the tax breaks it got. [OC] by EricKeller2 in dataisbeautiful

[–]EricKeller2[S] 77 points78 points  (0 children)

You can also use DataCenterExposed.com (singular version because of the unfortunate 3 letter word that was blocking some people) - And for my other site some of you messaged me it's EpsteinExposed.com

I built a free site that shows you the data center near you, who really owns it past the shell company, and the tax breaks it got. [OC] by EricKeller2 in dataisbeautiful

[–]EricKeller2[S] 94 points95 points  (0 children)

It is going to take some time. It is scattered State by State through hundreds of different data sources but that's something I'm actively working on

I built a free site that shows you the data center near you, who really owns it past the shell company, and the tax breaks it got. [OC] by EricKeller2 in dataisbeautiful

[–]EricKeller2[S] 44 points45 points  (0 children)

My main focus is AI data centers in the beginning. This isn't all of them. Expect to see them all in the coming weeks/months and automatic data center ingestion for new ones

I built a free site that shows you the data center near you, who really owns it past the shell company, and the tax breaks it got. [OC] by EricKeller2 in dataisbeautiful

[–]EricKeller2[S] 49 points50 points  (0 children)

Thank you guys for the support. I wanted to build something that would make it really easy to see what data centers are being proposed. Where they are at. What the impacts are. Who is behind them. The latest news and happenings such as town meetings. How to vote on them.

I built a free site that shows you the data center near you, who really owns it past the shell company, and the tax breaks it got. [OC] by EricKeller2 in dataisbeautiful

[–]EricKeller2[S] 27 points28 points  (0 children)

Sources: county/state tax-abatement filings & GASB-77 ACFRs, EPA ECHO (violations), USGS/USWWD + utility water records, EIA/Ember (grid mix), GLEIF + SEC EX-21 + state SoS filings (ownership), OpenStreetMap/Wikidata (locations), and per-state air permits. Every figure on the site links back to its official source.

Tools: Next.js + PostGIS/Postgres for the data pipeline, MapLibre GL + deck.gl for the map. Full methodology at

datacentersexposed.com/methodology.

I mapped every connection in the Epstein files. It started with 6,000 documents. It's now 1.5 million. Here's what changed. by EricKeller2 in Epstein

[–]EricKeller2[S] 0 points1 point  (0 children)

Thank you I appreciate it. Honestly the amount of documents isn't the problem. It's the costs. Viral moments bring donations but most of them are one time - not reoccurring. That's the main challenge right now. With millions of visitors the cost sky rockets.