Hadron Energy, Inc. has successfully completed its business combination with GigCapital7 and begins trading on Nasdaq today under the ticker symbol $HDRN
Through the transaction, Hadron secured approximately $31 million in total equity funding with zero debt, resulting in approximately $24.5 million of cash on the balance sheet.
The capital raised will support reactor design, NRC licensing, supply-chain development, and future deployments targeting AI data centers, industrial facilities, defense applications, and critical infrastructure.
This milestone positions Hadron as the first publicly traded company focused on light-water micro-modular reactor (MMR) technology. Hadron is developing the Halo MMR: a factory-built, transportable 10 MWe microreactor designed to deliver reliable carbon-free baseload power with a 10-year refueling cycle.
Going public builds on key achievements, including agreements with ConverDyn and Paragon Energy Solutions, as well as a deployment framework with Smartland Energy representing up to 1.8 GWe of potential demand.
We believe Hadron is positioned to help define the next generation of nuclear energy infrastructure. Follow along with @hadron_energy for the latest in microreactor innovation!
Hadron Energy and GigCapital7 have completed their previously announced business combination.
The combined company has been renamed Hadron Energy, Inc.
Hadron Energy, Inc. will begin trading on Nasdaq under the symbols $HDRN (common stock) and $HDRNW (warrants) on May 26, 2026.
Hadron Energy is advancing the Halo Micro Modular Reactor (MMR) through technical development, NRC licensing engagement, strategic supply chain, and deployment partnerships.
Designed to deliver 10 MWe of continuous power, the Halo MMR is being developed as a power solution for AI data centers, industrial applications, remote communities, and critical infrastructure.
Do not trust phone numbers in the google ai search results.
Almost got had by scammers because google served me a customer support number pulled from a review in yelp, and not the actual airline i was calling.
Good thing i recognized the off brand payment email
Getting ready to travel to 3 countries over the next 6 months, but needed my 3D Design/Rendering station and couldnโt risk checking in 10k worth of fragile equipment. So i built a liquid cooled #Threadripper + #RTX4090 system into a @PelicanProducts Air 1535 carry on case.
@RuralUrbie@Mericamemed that's exactly why it's carry on sized, so it only leaves my possession at screening where I tell them to be gentle or let me handle it for them
@APepeIsFineToo@Mericamemed it can't fall when it's upright, I've been using and travelling with it for 3 years without any issues https://t.co/Ldz4a9963L
Getting ready to travel to 3 countries over the next 6 months, but needed my 3D Design/Rendering station and couldnโt risk checking in 10k worth of fragile equipment. So i built a liquid cooled #Threadripper + #RTX4090 system into a @PelicanProducts Air 1535 carry on case.
Getting ready to travel to 3 countries over the next 6 months, but needed my 3D Design/Rendering station and couldnโt risk checking in 10k worth of fragile equipment. So i built a liquid cooled #Threadripper + #RTX4090 system into a @PelicanProducts Air 1535 carry on case.
@SKBCases@MyCaseBuilder Here is the Fusion 360 project file if youโd like to do the same, though I would recommend against it, it was very difficult. https://t.co/BxV00K3IVo
@mrjoebert@Mericamemed I've travelled internationally with it for 3 years now, even took it to Russia in the middle of the war. All i get is a funny conversation and fist bumps at security
@GHHILL1911@XyloBits I was the creative director at spinlaunch and personally witnessed action cameras and 3d prints survive three g loads in the scale simulator
@skumWgmi Stremio + torrentio + real debrid, 10 bux for like 6 months, any movie/show you want, will a Netflix like UI that even remember where you stopped watching
Email signature generators suck! Shameless bait and switches, hidden charges etc.
So I made my own pipeline for making gmail signatures.
use it here: https://t.co/xs9TY24x9h
Pretty cool how a large LLM model is essentially a low loss compression of a big percentage of the internet, and human knowledge.
Having a machine that can locally run a big model should be a staple in a doomsday prepper's stash