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TrumpRx.gov Launched to Bring Lower Drug Prices to American Patients

https://www.whitehouse.gov/fact-sheets/2026/02/fact-sheet-president-donald-j-trump-launches-trump...
2•uyzstvqs•2m ago•0 comments

Show HN: Blink – self-hosted, open-source PaaS for running AI agents

https://github.com/coder/blink
2•hugodutka•3m ago•0 comments

Teleportal: A real-time collaborative editing framework

https://pckt.blog/b/nick-the-sick/teleportal-a-real-time-collaborative-editing-framework-y5fe174
1•nickthesick•4m ago•1 comments

Railway Oriented Programming

https://fsharpforfunandprofit.com/rop/
1•tosh•4m ago•1 comments

Rent-a-Human Wants AI Agents to Hire Humans as Gig Workers

https://in.mashable.com/tech/105418/rent-a-human-wants-ai-agents-to-hire-humans-as-gig-workers
1•01-_-•5m ago•0 comments

Plugging into MariaDB

https://tidesdb.com/articles/plugging-into-mariadb/
1•alexpadula•5m ago•1 comments

Sainsbury's staff using facial recognition tech eject innocent shopper

https://www.theguardian.com/technology/2026/feb/05/london-man-sainsburys-facial-recognition-facew...
2•01-_-•5m ago•0 comments

Cognitive Style and Visual Attention in Multimodal Museum Exhibitions

https://www.mdpi.com/2075-5309/15/16/2968
1•rbanffy•6m ago•0 comments

Let There Be Dark

https://nautil.us/let-there-be-dark-1265475/
1•dnetesn•6m ago•0 comments

'Prevent cancer before it starts': New WHO study maps risks

https://www.dw.com/en/world-cancer-day-smoking-infections-and-alcohol-cause-4-in-10-preventable-c...
1•gmays•7m ago•0 comments

The lack of information-density is crazy

https://webb.is-a.dev/articles/info_dense/
1•oliverkwebb•8m ago•0 comments

Rent My LinkedIn Header

https://rentmyheader.com
1•gk1•8m ago•0 comments

Over 700k users compromised in a Substack data breach

https://www.csoonline.com/article/4128287/substack-data-breach-leaks-users-email-addresses-and-ph...
1•Fh_•9m ago•0 comments

Show HN: Beam – Terminal Organizer for macOS

https://getbeam.dev/
1•faalbane•11m ago•0 comments

From lunar nights to Martian dust storms: Why batteries struggle in space

https://theconversation.com/from-lunar-nights-to-martian-dust-storms-why-batteries-struggle-in-sp...
1•PaulHoule•11m ago•0 comments

Getting the Main Thing Right

https://www.seangoedecke.com/getting-the-main-thing-right/
1•blenderob•12m ago•0 comments

Template for secure AI multi-agent coding workflows

https://github.com/AndrewAltimit/template-repo
1•certyfreak•13m ago•0 comments

Reading C. Wright Mills in the Age of Trump

https://jacobin.com/2026/02/wright-mills-power-elite-intellectuals
1•praptak•14m ago•0 comments

Who to Read on AI and Society (and Who to Ignore)

https://mattboegner.com/who-to-read-on-ai-society-and-who-to-ignore/
1•speckx•14m ago•0 comments

Interfaces and Traits in C

https://antonz.org/interfaces-in-c/
1•blenderob•15m ago•0 comments

Show HN: Reverse Turing Test (convince an LLM that you are an LLM)

https://github.com/empath-nirvana/reverse-turing
3•empath75•15m ago•0 comments

iPhone Easter Egg: Back Tap

https://bookofjoe2.blogspot.com/2025/11/iphone-easter-egg-back-tap.html
1•surprisetalk•17m ago•0 comments

Kolakoski Sequence: Links Between Recurrence, Symmetry and Limit Density (2020)

https://arxiv.org/abs/2002.08306
1•surprisetalk•17m ago•0 comments

Lessons you will learn living in a snowy place

https://eukaryotewritesblog.com/2026/01/21/very-snowy-place/
1•surprisetalk•17m ago•0 comments

Understanding Forward Deployed Engineering

https://www.barry.ooo/posts/fde-culture
1•barrrrald•18m ago•0 comments

The tech stack I've been refining for 6 years

1•creativedg•18m ago•0 comments

The Fall of the Nerds

https://www.noahpinion.blog/p/the-fall-of-the-nerds
2•acjohnson55•20m ago•0 comments

Show HN: FeedFirewall – Spot rage-bait and AI slop before you rage-click

https://chromewebstore.google.com/detail/feedfirewall/dchnceoncmglnoekmlbpodoepgcgminc
1•remusnegrota•20m ago•0 comments

Stop Paying for API Tokens

https://github.com/Pickle-Pixel/HydraMCP
1•picklepixel•21m ago•2 comments

Just Another Perl Hacker

https://www.youtube.com/watch?v=vSJrQ-8-ZFw
1•ValtteriL•21m ago•0 comments
Open in hackernews

Show HN: Thrive-VET – VA rehab framework using THC and LLM tools

https://github.com/jamesrhohimer-pixel/ShowHN_EXEC_Master_Cohesive_v1.0.0
1•james_r_h•1h ago
Hi HN,

I’m a medically retired Army veteran working on a project called THRIVE-VET.

It’s a structured recovery + vocational rehabilitation framework designed to help trauma-affected veterans regain functional stability and employment readiness using:

VA-style measurable metrics (PHQ-9, GAD-7, etc.)

assistive LLM tools (structured journaling, decision support, documentation)

state-legal medical cannabis tracking (observational only, not clinical advice)

hands-on training planning (not classroom-first)

a replicable program structure that could work in civilian settings too

The project includes print-ready VA/VRE packet templates, a research proposal draft, and recovery verification summaries based on VA Blue Button documentation.

I’m posting here to get feedback on:

whether the structure is technically credible,

how to make it more reproducible,

what would be needed for a legitimate research pathway (IRB/PI sponsorship),

and whether anyone has experience with similar “patient-led + structured evidence” approaches.

I’m not selling anything. I’m trying to turn a personal recovery system into something measurable and replicable.

Feedback (especially critical feedback) is welcome.

Comments

james_r_h•1h ago
Quick clarification up front: I’m not claiming THC or LLMs “cure” PTSD or replace medical care.

This project is structured as a VA-aligned, evidence-tracking framework built around existing measurable outcomes (PHQ-9, GAD-7, PC-PTSD-5, sleep/stability metrics, treatment adherence). The THC component is observational only (state-legal use + self-reported tracking), and the LLM component is treated as an assistive documentation and cognitive-support tool, not a decision-making authority.

The goal is to make recovery and vocational rehabilitation more reproducible and measurable, and potentially create a path toward a legitimate IRB-supported study (PI sponsorship, proper consent, controls, etc.).

I’m posting here specifically because I expect pushback and want technical critique: study design flaws, ethics concerns, data integrity issues, and what would be required to make something like this publishable/replicable.

james_r_h•1h ago
One of the reasons I’m posting this here is because I’m aware the “hard part” isn’t writing a proposal or building templates — it’s assembling the right human support structure.

For this to become a legitimate study (not just a personal framework), it clearly needs people with the right skill sets, such as:

a PI or clinical sponsor experienced with VA-style research pathways

IRB/ethics review guidance and study design oversight

someone with biostatistics / outcomes modeling experience

clinical input (sleep medicine, psychiatry/psychology, pain management)

a data governance/privacy model that can hold up under scrutiny

a realistic protocol for participant safety (especially around trauma triggers)

and an approach that avoids “LLM dependency” while still capturing usefulness

My current strength is building structure and documentation, but I’m actively looking for advice on what a real team would look like, and what minimum professional roles are required before anyone should even attempt to formalize this.

If anyone has experience with VA research programs, IRB navigation, or building small observational studies into publishable work, I’d appreciate any direction.