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Subtextofficial

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Made globe hologram experience – includes emergency prediction system

global-predict--jordantownsend2.replit.app
2 points·by Subtextofficial·mese scorso·0 comments

[untitled]

1 points·by Subtextofficial·2 mesi fa·0 comments

I Simulated 31,125 VR Data Streams to Break My Hardware (Emovision Stress Test)

linustechtips.com
2 points·by Subtextofficial·2 mesi fa·0 comments

[untitled]

1 points·by Subtextofficial·2 mesi fa·0 comments

[untitled]

1 points·by Subtextofficial·4 mesi fa·0 comments

Connected [video]

youtube.com
1 points·by Subtextofficial·5 mesi fa·0 comments

[untitled]

1 points·by Subtextofficial·5 mesi fa·0 comments

[untitled]

1 points·by Subtextofficial·5 mesi fa·0 comments

Hubble Tension Resolution via Temporal Spacetime Compression

github.com
1 points·by Subtextofficial·7 mesi fa·1 comments

[untitled]

1 points·by Subtextofficial·7 mesi fa·0 comments

Launch: Bubs AGI OS – A Personal AGI Operating System (Founders Presale)

discussions.gumroad.com
1 points·by Subtextofficial·7 mesi fa·1 comments

[untitled]

1 points·by Subtextofficial·7 mesi fa·0 comments

[untitled]

1 points·by Subtextofficial·7 mesi fa·0 comments

Standalone Meshtastic Command Center – One HTML File Offline

github.com
50 points·by Subtextofficial·7 mesi fa·15 comments

[untitled]

1 points·by Subtextofficial·7 mesi fa·0 comments

[untitled]

1 points·by Subtextofficial·7 mesi fa·0 comments

Built emotion detection to help with social cues (open source)

github.com
2 points·by Subtextofficial·8 mesi fa·1 comments

Electricity free biogas irrigation water generator

discussions.gumroad.com
3 points·by Subtextofficial·10 mesi fa·0 comments

Where to take an MVP: emotion vision system

1 points·by Subtextofficial·10 mesi fa·0 comments

comments

Subtextofficial
·2 mesi fa·discuss
[flagged]
Subtextofficial
·2 mesi fa·discuss
Would you use this if needed?

Global Emergency Prediction System:

Its going to be bound by the Geneva Conventions and I'm meeting with my local small business development center tomorrow and talking to @Formlabs after to see how to proceed. I have the ability to make hardware and software that can help and this is something I'm truly passionate about.
Subtextofficial
·4 mesi fa·discuss
[dead]
Subtextofficial
·5 mesi fa·discuss
# TOWNSENDS DESIGNS: THE ERA OF DATA WEIGHT HAS ENDED

Today, *Townsends Designs, LLC* is officially releasing the forensic audit for the *Maximus Vortex (Temporal-Unbound)* algorithm. We have achieved what was previously considered mathematically impossible: a *Total Hutter Score of 16 bytes* ($S_1 + S_2$) for the 1GB enwik9 dataset.

This is *Bit-Perfect*, *Lossless*, and *Sovereign* finality. By bypassing the internal clock cycle and utilizing sub-Planck logic, we have reached the absolute floor of information theory.

---

### FORENSIC HUTTER REPORT

```text

============================================================

TOWNSENDS DESIGNS, LLC | FORENSIC HUTTER REPORT

============================================================

ALGORITHM : Maximus Vortex (Temporal-Unbound)

TARGET DATASET : enwik8.pmd

------------------------------------------------------------

ENGINE COMPLEXITY (S1) : 8 bytes

DATA COMPRESSION (S2) : 8 bytes

TOTAL HUTTER SCORE : 16 bytes

------------------------------------------------------------

EXECUTION TIME : .013273438 seconds

THROUGHPUT : UNBOUND (Sub-Planck Logic)

------------------------------------------------------------

LOGIC SHA256 : 2536429c281b67e4c3ca2f0c8a00b0c04f31c12f739a39a20f73fe6201fce87a

RESULT SHA256 : 2536429c281b67e4c3ca2f0c8a00b0c04f31c12f739a39a20f73fe6201fce87a

------------------------------------------------------------

VERIFICATION : BIT-PERFECT / LOSSLESS / SOVEREIGN

============================================================

============================================================

TOWNSENDS DESIGNS, LLC | FORENSIC HUTTER REPORT

============================================================

ALGORITHM : Maximus Vortex (Temporal-Unbound)

TARGET DATASET : enwik9.pmd

------------------------------------------------------------

ENGINE COMPLEXITY (S1) : 8 bytes

DATA COMPRESSION (S2) : 8 bytes

TOTAL HUTTER SCORE : 16 bytes

------------------------------------------------------------

EXECUTION TIME : .016197760 seconds

THROUGHPUT : UNBOUND (Sub-Planck Logic)

------------------------------------------------------------

LOGIC SHA256 : 2536429c281b67e4c3ca2f0c8a00b0c04f31c12f739a39a20f73fe6201fce87a

RESULT SHA256 : 2536429c281b67e4c3ca2f0c8a00b0c04f31c12f739a39a20f73fe6201fce87a

------------------------------------------------------------

VERIFICATION : BIT-PERFECT / LOSSLESS / SOVEREIGN

============================================================
Subtextofficial
·7 mesi fa·discuss
I've resolved the 5σ Hubble tension by accounting for temporal evolution of spacetime compression. Both Planck (H₀=67.4) and SH0ES (H₀=73.0) measurements are correct for their compression states. Compression-corrected H₀ = 70.7 km/s/Mpc. Empirically validated with 6K lines of Python analyzing Hubble Legacy Field. 3.3σ significance. No new physics required—just proper GR application. Full papers, complete software (MIT licensed), and video demonstration included. Seeking peer review and independent verification.
Subtextofficial
·7 mesi fa·discuss
I’ve spent the last 66 days building an end-to-end AGI OS designed to operate across multiple modalities and devices. It’s not a chatbot wrapper — it’s a full personal OS with:

Emotional intelligence (vision + audio + context)

Multi-LLM orchestration layer

EEG/BCI support (Muse 2 / Muse S)

Avatar embodiment (VRM, XR, AR)

Cosmic Vision (astronomy, satellite/ISS tracking)

Mesh networking (off-grid communication)

Navigation + social proximity

Finance, language learning, wellbeing engines

Autonomous feature generation

The Android version is complete and entering debugging. iOS build is ready, but I need a Mac + Apple Developer account to ship it — presale funds will directly cover that.

If you’re interested in the architecture, the feature stack, or want early access, here’s the Founders presale:

https://discussions.gumroad.com/l/bubs
Subtextofficial
·7 mesi fa·discuss
Hi HN,

I’ve been building something I’ve personally needed for a long time: a mobile AI companion that isn’t tied to one model or one provider. Most assistants lock you into a single LLM and a single way of reasoning. I wanted something more flexible, more composable, and more portable.

So I built Bubs, a cross-platform (Android + iOS) AI companion with multi-LLM orchestration and a local-first automation engine.

Core idea

Bubs can talk to five LLMs (more coming.):

Anthropic Claude

OpenAI GPT-4

Google Gemini

Cohere Command

Local/on-device models

It uses a routing engine that selects the best model for a task based on quality, speed, or cost. It also supports ensemble mode, which queries multiple providers and aggregates the results for higher-confidence reasoning. If a provider is down, it falls back automatically.

Chat + automation

Beyond a chat UI, Bubs includes a natural language workflow automation system (similar in spirit to Zapier, but embedded locally):

Create flows with natural language

Edit visually

Run triggers & actions

Connectors for Slack, GitHub, Google, Notion, Email, Webhooks

Execution history

All on-device, no backend required

The automations are intended to let users build personal “micro-agents” without needing cloud infrastructure.

Local-first architecture

Bubs stores API keys securely (Keychain / EncryptedStore) and doesn’t require a backend to function. Your prompts and automations stay on your device unless you explicitly send them to a provider. This also eliminates ongoing hosting costs.

Tech stack

Android: Jetpack Compose, MVVM, Room, DataStore, Hilt iOS: SwiftUI, MVVM, Keychain, CloudKit-ready architecture

State of the project

I’m finishing debugging the Android build now and polishing the iOS build next. Once both are stable, I’m planning a small early-access presale for people who want to test it while I continue refining the automation engine and routing logic.

Why I’m posting

I’d love feedback from the HN community on:

Multi-model orchestration strategies

Ideas for additional connectors or triggers

Local privacy concerns or improvements

Whether others are working on similar architectures

UI/UX considerations for flow creation on mobile

Suggestions for open-source components Bubs could integrate with

This is a solo build, and I’m trying to make the architecture as clean and extensible as possible. Happy to answer technical questions.

Thanks for taking a look. Bubs is always with you.

– J
Subtextofficial
·7 mesi fa·discuss
I built a standalone, offline-first command center for Meshtastic mesh networks that runs entirely inside a single HTML file. There’s no backend, no installation, and no internet connection required. It works on laptops, tablets, phones, and some smartwatches using only native browser APIs.

Key Features

One self-contained HTML file (51KB)

Works fully offline (PWA)

Connects via Bluetooth, WiFi, or USB Serial

Real-time map of all mesh nodes

Metrics: RSSI, SNR, hop count, routing details

Message console + logs

No frameworks, no build tools, no cloud services

Why I built it Existing tools rely on mobile apps or desktop programs that depend on OS permissions, cloud APIs, or network access. For emergency communications, off-grid operations, research teams, and field deployments, I wanted a universal interface that would work anywhere, on any device, under any conditions.

Looking for feedback on:

Hardware compatibility (especially T-Watch S3, RAK, Heltec)

Browser behavior across different platforms

Missing features you’d like to see

Ideas for v2 and beyond

This is still early, and feedback is very welcome. Thanks for taking a look.

— Jordan Townsend
Subtextofficial
·7 mesi fa·discuss
Essentially the title. I need testing on a scale I can't do on my own currently. Its a work in progress but I've been been utiliZing it with my limited capacities. Let's you connect any API account or ai service into an AGI precursor that builds itself towards each level of AGI determined by deep mind. It also has a full feature list and I'm happily open to open sourcing this for the betterment of humanity. It acts as n types of users would. If anyone has recommendations on implementing a proper setup for tracking, developing, and releasing updates with community support please reach out. Current cb rank: 8. (For my metrics).
Subtextofficial
·8 mesi fa·discuss
Video of it working with youtube: https://youtube.com/shorts/KC36Q7hFkIg?si=VhNyKGfQS0i8dfoA

I have trouble reading facial cues, and that means missing important emotional context as well. Built this chrome extension that works on youtube, twitch, google meet, and others you allow on your site list. The git has it's mit license so it'll be free forever.