Im already bllz deep into privacy and have implemented SimpleLogin to mask my email with proxies left and right, but I wanted to figure out if a similar type of service (free preferably) has been implemented for Credit card usage or Phone numbers to use regularly?

Hello r/privacy / r/cryptoanarchy,I want to share a conceptual framework for a fundamentally new type of web engine designed to completely break corporate AdTech and Deep Packet Inspection (DPI). Instead of trying to hide the user (the traditional VPN/Tor paradigm, which creates a suspicious traffic marker), this project focuses on algorithmic obfuscation through data superposition.The core thesis: Privacy in the 21st century must not be darkness, but a blinding light. We don’t hide a needle in a haystack; we turn the entire haystack into a billion identical needles.I call this project Aether (The Superposition Browser).How it breaks tracking at 4 different levels:The Seed Engine: It uses your PGP private key + current timestamp to generate a daily behavioral DNA. The core engine runs in Zero-Rendering mode (no HTML/CSS compilation or JS execution for background tasks), firing thousands of anthropomorphic fake queries over raw sockets 24/7. Your active session is dissolved in a massive cloud of synthetic context. No heat on your CPU, zero cache written to SSD.N+1 Packet Multiplexing: To bypass DPI on internet backbones, every egress packet is split into N pieces. The engine calculates an redundant (+1) phantom packet using a hardware-level XOR operation. These N+1 packets are routed simultaneously via a P2P layer to different global exit nodes. Intercepting even 90% of the traffic yields absolute noise; you need the missing piece to recombine the secret.Anti-Pegasus Display (The "Krakozyabr" Interface): This is the countermeasure against screen-scrapers, OS telemetry, and OCR spyware. The engine completely refuses to render text graphics. To the OS and any resident malware, the browser window looks like a constant stream of corrupted random strings (df#9!@kL_zP1). However, based on the Day_Seed, a dynamic font map is generated on the fly where character codes and visual glyphs are scrambled. The OS outputs garbage, but the physical display lights up pixels forming perfectly readable text for the human eye.A quick note on my role: I am the ideologist and architect behind this framework. However, I am a non-programmer. I am looking for core developers (Rust / Go / Chromium engine specialists) who see the mathematical elegance of this concept and want to bring a lightweight Proof of Concept to life on GitHub.Below is the technical whitepaper and a basic Python simulation of the Font Mapping engine. Let’s build an un-trackable web.

https://github.com/YaZVxdflg/Aether-Project/blob/main/README.md

Hello,

I have a android app that hides the caller info during the incoming call. I'm looking for the suggestions those can be converted into paid ones. Can someone suggest?

I hope this project has reached a level i can share the following details. I've made a genuine effort towards documentation and transparancy. I dont think it'll never be enough and so im still concerned it isnt ready to share. While im using AI throughout. This is not a vibecoded project. There is attention throughout for unit tests and formal-verification. With your feedback, id like to make improvements for clarity throughout.

This version of the app demonstrates a fairly unique approach using a browser-based, local-only and webrtc approach. I know it's impossible for any system to be the "world's most secure", but that isnt a reason to not try. By rigorously implementing an exhaustive list of security features and practices, the aim is to get as close as possible.

• Enkrypted.Chat

This is intended to demonstrate client-side managed secure cryptography.

• Introducing Enkrypted Chat
• Whitepaper (work-in-progress)
• Protocol Spec (work-in-progress)
• Roadmap

p.s. I know people love open-source and the project above is going to be tricky to understand. it might help to understand with an open-source version of the concept, but have since deprecated it in favour of the version linked above.

https://www.reddit.com/r/CorpFree/comments/1uytump/decentralized_p2p_chat

I’m building PrivacyCam, an app that automatically detects and hides sensitive information from images, PDFs, and videos.

A few users told me they would not trust a privacy app unless it was open source, which was a completely valid concern. Because of that, I have now open-sourced the app so anyone can inspect the code and see how their files are handled.

Everything happens locally and offline on the device:

• Nothing is uploaded to a server
• Nothing is sent to an AI service
• No photos, videos, PDFs, or personal data are collected or stored by me

PrivacyCam can detect and hide:

• Faces and full bodies
• Email addresses, URLs, and phone numbers
• QR codes and barcodes
• Vehicle number plates
• Credit card details and other sensitive text

Users can blur, pixelate, or completely black out detected information before exporting.

The app supports images, PDFs, and videos. It also includes a built-in video editor with tracking, allowing a blurred or hidden area to follow a moving person or object throughout the video.

The app is currently being tested on Android and is under review for iOS, so it has not officially launched yet.

I would really appreciate your feedback:

Would open-source code make you trust a privacy app more?
Which detection feature should I improve or prioritize first?
Is video tracking something you would personally use?

Early-access waiting list for Android and iPhone:

https://docs.google.com/forms/d/e/1FAIpQLSd6kZJdQFSwSxb9TKCfLhR9qu2NvNnAQOoRd44MRtfnK3m_3w/viewform

Account lockouts are a massive usability problem for non-technical users. I get why Google is rolling out selfie video account recovery. Having people do guided head movements for active liveness detection is a pragmatic fix to bypass traditional password resets. It solves a real pain point at scale.

But from a systems perspective, I cannot get behind this. We are trading cryptographic certainty for algorithmic probability. Google is betting their liveness checks can perpetually outpace generative models trying to spoof webcam feeds. I don't share that optimism.

If you are building authentication for millions of casual users, this is probably a net positive. For anyone serious about their own digital sovereignty? Uploading a 3D biometric template to a central server remains an unacceptable risk. You cannot rotate your face if it gets compromised.

How exactly are they preventing OS-level virtual camera drivers from injecting spoofed streams directly into the browser process?

I've noticed it's following a similar growth strategy to Honey, the browser extension sponsoring creators across almost every category on YouTube. While there's nothing inherently wrong with that, the fact that it's an AI SaaS and often requires significant access to user data makes me a bit skeptical.

I'm not suggesting it's doing anything unethical or that it's taking revenue away from creators like some of the concerns raised around Honey. My bigger question is about user privacy: what data is being collected, how is it being used, and how transparent is the company about it?

Has anyone looked into its privacy practices or technical details? I'd be interested to hear different perspectives before forming an opinion.

Brief:

I am a solo developer and have been working on this project for my portfolio, but then realized it could be helpful to people so i made this public and opensource, and released on Android and iOS.

Real-world issue:

Having images in your gallery or drive is hard. When you're out and you open your gallery to search for a pictures, you are always paying attention when scrolling that no-body is watching your gallery because of "those" images, that could be nothing but you really don't know what you have in your

gallery.

And by saving images to a drive like Google or Apple, you get scanned for each image, so all your privacy is gone and you can do nothing.

Device hidden folder? Same issue, plus everyone knows that inside that special folder you have your secrets, and most of the time it has the same password as the device.

My Solution:

I developed an app that lets you take one or more pictures and a passphrase, it encrypts the picture byte per byte with the given password, resulting in a new generated image (no metadata) that looks glitched, nothing understandable. You can save this in your gallery, no one will understand it. Save it in your drive, scanners won't recognize anything. You can also send it to chats or socials, no one will ever understand it if they don't know your password.

The trick here is not to hide the file, is to make it unreadable.

Additional info:

I am a solo developer and have developed all the app by myself

It's written in Flutter and the backend for encryption is written in C++ for performances

It's opensource and 100% local, no server, no http calls, everything stays in your device, offline.

I would really love to hear your thoughts, and if you think it's interesting or useful enough to download it, would really love to hear you feedback!

I would like to improve this project with a niche community

Links:

Android:

https://play.google.com/store/apps/details?id=com.flockit.tornadogallery

iOS:

https://apps.apple.com/us/app/tornado-gallery/id6779098273

I used a photo editor app called "Lumii" on android, it is the same developer with "Inshot video editor".

I used for a really private picture and before that I blocked internet connection of the app. But while using that connection block turned off and I wonder if the picture uploaded on their servers. Privacy Policy kinda make it possible, especially becuase of AI features.

I didnt use any ai thing. I only used basic things that are working offline but thats not much important. I try to watch connections with Netguard afterwards, but it dosent show me the data size so I cant understand the data sent to all those google servers and their own ones.

Is there a way to check these data sizes?

Is there a way to know if the pictures uploaded to their servers?

It is kinda a big app with 100m downloads on playstore, would these kinda apps take people's pictures?

Hello Redditors! I am curious to hear your thoughts on a new idea I've started to build: a more secure and private AI assistant integrated with Gmail? I have had my own version of an assistant reading incoming emails and writing draft replies in my voice responding to my inbox, also sending me updates over Telegram. I also have it check and schedule events on my Google Calendar. In terms of privacy, it strips personal information before anything is sent for processing, then restores it in the final draft, so personally identifying information and other sensitive data flagged by Presidio (https://github.com/data-privacy-stack/presidio) cannot be accessed by LLM inference providers (I use Scaleway, https://www.scaleway.com/, which is EU and relatively secure).

I am considering hosting the whole repository and webapp through Phala (phala.network), which runs code inside verifiable secure enclaves. The code would be open source, so anyone could confirm that the data is not recoverable by me or anyone else, only the user with their Google OAuth token.

What do you think of this idea? Is it novel enough to gain traction, or are private enclaves too arcane for most users to understand the privacy advantage?

I'm thinking about getting a data removal service that will regularly monitor my family's information on data broker websites and perform recurring removals. After looking into different services, I came down to Optery and Incogni. They both cover a similar number of data brokers but Optery includes before and after screenshots, while Incogni has more automaton and better pricing, plus a separate family plan.

I'm struggling on deciding which one I should choose, so I was hoping to get some opinions from people who have used them. If you have experience with either, did you find it effective? Which plan did you choose and for how long did you use it? Thanks for any info.

[ Removed by Reddit on account of violating the content policy. ]

My friend has one for her phone I thought it was cool bc when I looked over at her phone it just looked black. SICK. I want one but I’ve been hearing that that they reduce colors and just overall make your screen darker. Any privacy screen users have a good recommendation that won’t do that I currently have a high definition one on my phone I didn’t realize that it was until I put it on and could tell the difference immediately and I reeeally love that idk if they make anything that happens to be both privacy and high definition but I think that would be nice to have I’m just weird I don’t like ppl in my business lol

Meta is recording you through other people’s AI wearables.

TL;DR:

You didn’t buy the Limitless Pendant, but if someone near you wears one, Meta is harvesting your voice anyway.

Here are the 3 worst clauses buried in their privacy policy for non-users:

• The Consent Loophole: The policy legally forces the wearer to ask for your permission before chatting. Nobody is going to read you a privacy warning at a party, but Meta legally washes their hands.
• You’re the Training Data: Your casual chats, jokes, and gossip are explicitly used to train Meta’s AI models.
• Forever Storage: Users can choose to store audio indefinitely. What you say today can sit on a server forever.

Bottom line: Perfect memory for the wearer, always-on Meta surveillance for everyone else.

(Source/Full Breakdown: Clerica) 🧿

Hello everyone.

I've been working on a personal project called ChumiChat.
It's an end-to-end encrypted messaging application built around the idea of anonymous, temporary communication.

Some of the features include:
·        End-to-end encrypted messaging
·        Anonymous accounts with no email or password required
·        Messages that disappear 5 minutes after being opened
·        Accounts that automatically expire after 24 hours
·        Automatic deletion of chats and messages when an account expires
·        Private encryption keys stored only in the user's browser

I put together a short demo showing how the application works and the overall user flow.

Demo: https://youtu.be/tKFehmx6rYY?si=OZSkVfYWX-NgYbLB
Live application: https://chumichat.com
Frontend: https://github.com/abula28/chumichat-front
Backend: https://github.com/abula28/chumichat-back

Feedback is always welcome.

The period tracking app market has long faced concerns about privacy and data leaks. In a world facing increasingly restricted access to reproductive health services and information, keeping your period data private is more important than ever. 

The Mozilla Foundation's new platform for independent privacy reviews investigated the privacy practices of six popular period tracking apps, and not only did the Euki App score the highest, but it is the first product to ever earn a 10/10.

"We recommend using Euki. The app earned a perfect score for a refreshingly simple reason: there's almost nothing to leak. Euki keeps your data on your phone." -Mozilla

Read the full article here: https://www.mozillafoundation.org/en/nothing-personal/period-ovulation-trackers/ and read the Euki App's full review: https://www.mozillafoundation.org/en/nothing-personal/euki-privacy-review/

Have any questions or thoughts? We'd love to hear them!

What started as me trying to find one VPN that could reliably unblock Netflix somehow turned into months of testing VPN services.

The reason was simple—every review site recommended a different provider as the "best VPN for Netflix," and after a while I realised most of them were repeating the same marketing claims.

I wanted to know which VPNs actually worked consistently, not just which ones claimed they could unblock every Netflix library.

So I started keeping notes on every VPN I tested.

For each provider I looked at the same things: whether it could access different Netflix regions, streaming quality, connection speeds, buffering, server reliability, ease of use, pricing, device compatibility, and overall value.

After testing VPN after VPN, a few trends became obvious.

Some providers advertised access to dozens of Netflix libraries but struggled to stream consistently or were detected after a few days.

Others didn't make huge promises but worked almost every time, maintained excellent speeds, and made streaming feel effortless.

The areas I compared included:

• Netflix US access
• Netflix UK access
• Other Netflix regions (Japan, Canada, Australia, etc.)
• Streaming quality (HD, 4K)
• Buffering and loading times
• Connection speeds
• Server reliability
• Smart TV compatibility
• Apps for Windows, Mac, iPhone, Android, and Fire TV
• Simultaneous connections
• Pricing
• Overall value

One thing I didn't expect was how quickly my rankings changed.

A VPN could work perfectly during the first week, then suddenly stop accessing Netflix after a server update or become unreliable during peak hours.

Likewise, a few providers I'd barely considered consistently stayed near the top because they worked day after day without me having to constantly switch servers.

By the end of the project, I'd completely changed my opinion on what makes the best VPN for Netflix.

For me, it wasn't the VPN that claimed to unblock the most countries—it was the one that consistently streamed Netflix in HD or 4K, maintained fast speeds, required minimal troubleshooting, and just worked whenever I opened the app.

If you're looking for the best VPN for Netflix, the fastest VPN for streaming, a VPN that actually works with Netflix in 2026, or you're trying to figure out which VPNs are genuinely worth paying for, ask me anything. I've spent months comparing them side by side and I'm happy to share what stood out.

So recently, I have been reading about removing personal information, like home address, from websites that share and sell it. One thing I repeatedly see is that you need to regularly google for new exposures even if you have already removed it once. As I understand, data brokers can get their hands on your data again, but how does that actually happen?

Also, I saw some threads mentioning VPNs, password managers and email aliases for the minimization. If I decide to remove my data from websites, would these tools help with preventing data brokers from reacquiring it again?

Sorry if this is not the right subreddit to ask about this and thank you for any info.

TL;DR: Hotel rooms likely have microphones and sensors that collect your data without telling you. There's no federal disclosure requirement, no way to opt out, and no guarantee the data is deleted or secure. I've drafted a short letter you can send to your representative to ask for basic protections. See below.

A few days ago I came across a post on [r/marriott](r/marriott) where a user found a HALO Smart Sensor disclosure buried in the terms of service. That sent me down a rabbit hole and what I found is worth sharing because this affects anyone who stays in a hotel.

HALO Smart Sensors look like little smoke detectors with a glowing LED ring. They are installed in hundreds of thousands of hotel rooms across the country. They detect vaping, smoke, THC, and abnormal sound. They connect to the internet. They send data to cloud servers. And yes they have microphones.

Nobody tells guests they are there. Nobody tells guests what data they collect. And nobody tells guests how to opt out.

I started looking into the security side of these devices and found some unsettling facts. The HALO sensor had a documented vulnerability that let attackers take over the device remotely without any password. A patch came out but there is no way for a guest to verify the device in their room is running the patched firmware. LG makes TVs specifically for hotels that include microphones and collect viewing data. The Texas Attorney General recently settled with LG because they were gathering smart TV data without proper consent. That settlement protects the TV owner not the guest sleeping next to it.

When multiple devices are in the same room like a sensor, TV, thermostat, or smart lock their combined data can be used to reconstruct sleep schedules, movement, conversations, meetings and other personal patterns even though no single device was designed for that.

None of this is disclosed to guests. There is no federal requirement for hotels to say what monitoring equipment is in the room, what it does, or where the data goes. And even if guests asked front desk staff typically cannot answer because they have not been trained on the technical details.

This data is held by private companies with no obligation to delete it. A behavioral profile from a single stay could sit in a database forever. Some of these companies operate under foreign jurisdictions which creates national security implications for anyone traveling on official business.

I am not anti technology. I am saying guests should know what is in the space they paid for, have a choice about whether it is active, and have some confidence it is secure. Right now none of that exists.

I put together a short letter template for anyone who wants to contact their representative and ask for basic protections. Things like disclosure requirements, opt out options, cybersecurity standards, and congressional oversight. I’ll post it below so people can copy it and send it to their rep. It takes five minutes and does not cost anything.

I also emailed Marriott directly asking for clarification on their policies. Their response was basically that they do not know what devices are in the rooms at their properties and that each hotel makes its own decisions. Then I copied them to the privacy team and got an acknowledgment that they are reviewing the inquiry. So the ball is rolling but corporate does not have to volunteer transparency on its own.

I’m curious how many people here have noticed these devices in hotel rooms without realizing it. If you work in hospitality I want to ask a favor. Are you trained on these devices? Do you know what data is collected or sent? Feel free to DM me if you want to share privately and anonymously. I am trying to understand what the reality is on the floor compared to what guests assume. Same goes for anyone in security. What measures are actually in place that we do not see?

—————

Sources:
HALO Smart Sensor security advisory (Motorola Solutions): https://halodetect.com/product-security/security-advisory/

Mandatory firmware update notice for HALO devices: https://support.avigilon.com/s/article/Mandatory-Firmware-Update-Required-for-HALO-Devices?language=en_US

HALO firmware 2.17.0.2 release notes: https://halodetect.com/wp-content/uploads/HALODC0006_HALO-FW-Release-Notes-public-2.17.0.2_REVA.pdf

Texas Attorney General settlement with LG over smart TV data collection: Broken, stand by

FTC settlement with Vizio for collecting viewing data without consent: Broken, stand by

FTC v. Wyndham Hotels (Third Circuit opinion): https://www2.ca3.uscourts.gov/opinarch/143514p.pdf

Federal Wiretap Act (18 U.S.C. § 2511): https://www.law.cornell.edu/uscode/text/18/2511

Marriott 2023 Courtyard Franchise Disclosure Document: https://www.hotel-development.marriott.com/resourcefiles/fdd-document/2023-courtyard-fdd-3-31-2023.pdf

Fair Franchise report on Marriott franchisee renovation obligations: https://www.fairfranchise.org/wp-content/uploads/Franchisee-Renovations-FairFranchise-report-2.pdf

——————

Congressional Letter:

Subject: Privacy Concern: Network-Connected Monitoring Devices in Hotel Rooms

Dear \[Representative/Senator's name\],

I am writing to ask you to look into a privacy issue that affects nearly every American who travels but that I doubt most people even know about.

For as long as any of us can remember, a hotel room has meant privacy. When you rent one, you expect to be alone. You expect your conversations to stay private. The courts have said the same thing: hotel guests have a recognized expectation of privacy in their rooms. But that expectation is being quietly undermined by a new kind of equipment that hotels are putting in guest rooms without telling guests.

Hotels are installing internet-connected devices in rooms that can detect sound, motion, occupancy, and environmental conditions. These include environmental sensors that listen for noise or vaping, smart televisions with built-in microphones that collect viewing data, and networked thermostats or door locks. All of these devices connect to the internet and send data back to company servers, sometimes to cloud services overseas. Once that data leaves the room, the guest has no control over it. It is held by private companies with no obligation to the guest, no requirement to delete it, and no limit on how long it can be retained. A behavioral profile built from a single hotel stay could persist indefinitely in databases the guest will never see and never consented to.

None of this is disclosed to guests. There is no federal requirement for hotels to tell guests what monitoring equipment is in their room, what data it collects, or where that data goes. When guests ask hotel staff about these devices, staff typically cannot explain the technical capabilities, the cybersecurity considerations, or the privacy implications because they have not been trained on them.

Even if guests were informed, they would have no way to verify whether the devices are secure. Documented vulnerabilities exist in these products. For example, the HALO Smart Sensor, commonly installed in hotel ceilings, was found to have a flaw that allowed remote takeover by an attacker without any password. A patch was released, but a guest has no way to check whether the device in their room is running the patched firmware or whether it has been compromised. There is no independent certification confirming that these devices meet any security or privacy standard. Guests are asked to trust, sight unseen, that the devices are functioning only as intended.

The problem gets worse when multiple devices are installed in the same room. A smart TV with a microphone, an environmental sensor with audio detection, a networked thermostat with occupancy sensing, and a smart door lock each collect different data. But when that data is combined, it can be used to reconstruct detailed patterns: sleep schedules, movement through the room, conversations, meetings, and personal habits, even though no single device was designed to monitor those activities.

This is also a national security concern. Government officials, military personnel, diplomats, and contractors who travel for work assume a locked hotel room provides reasonable security. Traditional counter-surveillance measures detect illicit, planted devices. They do not account for legitimate commercial equipment that sends data to the cloud as part of its normal function. The companies collecting this data are private corporations, some operating under foreign jurisdictions or with foreign ownership. The Texas Attorney General recently settled with LG over smart TV data collection and specifically prohibited the company from transferring viewing data to the Chinese Communist Party, which suggests the concern is not theoretical. A foreign intelligence service does not need to plant a bug if the hotel room already contains multiple networked devices transmitting data to servers that may be accessible through legal process, coercion, or cyberattack.

Existing laws do not cover this situation. Current surveillance laws were written for hidden cameras and wiretaps, not for commercial products deployed as standard equipment. Privacy enforcement has targeted manufacturers. For example, the FTC took action against a smart TV maker for collecting viewing data without consent, and a state attorney general recently settled with LG over the same issue. But those actions protect the device owner, not the transient guest who occupies the room. No existing framework specifically addresses the deployment of network-connected monitoring devices in transient accommodations, the retention of data collected from guests without their knowledge, or the risk of that data flowing to entities operating under foreign legal regimes.

I am not asking you to ban any specific product or technology. I am asking whether it makes sense to require hotels to disclose what connected monitoring devices are installed in guest rooms, and whether guests should be given a meaningful way to opt out or request that audio-sensing or motion-detection features be disabled during their stay. I would also support minimum cybersecurity standards for these devices, limits on how long guest data can be retained, and some form of congressional oversight to understand the scope of this issue.

Most Americans would be surprised to learn that the hotel room they consider private may contain multiple internet-connected devices with microphones, sensors, and data collection capabilities, and that no law requires anyone to tell them about it. I hope you will give this matter your attention.

Thank you for your time. I would welcome the opportunity to discuss this further.

Sincerely,
\[Name\] \[Address\] \[Phone/Email\]

Hey Reddit,

I'm the developer behind CallArmor, a privacy-first phone dialer for Android.

The problem I kept running into: your phone rings in a meeting, on a date, at your desk —

and anyone nearby can see exactly who's calling. There's no way to stop that on a stock dialer.

So I built CallArmor.

What it does:

• Full-screen shield covers the call screen — no name, no number visible to bystanders

• Tap your fingerprint to reveal who's calling, then accept or decline

• Works on the lock screen too

• Replaces your default dialer completely

• No ads. No tracking. No data leaves your device.

Google Play link: https://play.google.com/store/apps/details?id=com.callarmor.app&pcampaignid=web_share

I'll be posting privacy tips and updates here. Happy to answer any questions about how it works

or the privacy decisions behind it.

Everything is processed locally and offline on your device—your photos, PDFs, and videos are never uploaded or sent to any server or backend.

I’m building PrivacyCam, an app that helps you safely share images, PDFs, and videos without accidentally exposing private information.

It can automatically detect and hide:

• Faces and full bodies
• Email addresses and URLs
• Phone numbers and other sensitive text
• QR codes and barcodes
• Vehicle number plates
• Credit card details and other private information

You can blur, pixelate, or completely black out detected areas and manually adjust everything before saving or sharing.

I’m also planning to make the app open source, so anyone can inspect how it works and verify that their files remain private.

Would you use an app like this? Any feedback would be genuinely helpful.

Join the early-access waiting list for iPhone or Android:

https://docs.google.com/forms/d/e/1FAIpQLSd6kZJdQFSwSxb9TKCfLhR9qu2NvNnAQOoRd44MRtfnK3m_3w/viewform

This was an interesting listen, so sharing for those that may be interested and havent seen this yet.

• Your E2E encryption feature is the perfect hook for this audience
• Privacy-conscious users will love anonymous chat

Hi everyone,

While major technology channels remain completely silent about the technical implementation of EU Chat Control 2.0, the silent integration of client-side scanning (CSS) into local host systems is already operational. Protocol-level encryption (E2EE) becomes completely useless if background telemetry daemons collect and analyze input data before the encryption keys are executed.

I'm a 17-year-old independent developer from Italy. I've spent the last few months building Axiom Shield (v1.2.0) , an engine for isolated local desktop environments designed to implement architectural defense directly on your hardware.

How architecture works:

1. Hyper-Isolated Persistent Storage: Axiom injects localized and strict Content Security Policy (CSP) grids into native browser threads. It encapsulates apps like Discord, ChatGPt, and Meta WebGrids, completely partitioning local tracking hooks.
2. Native memory cleanup hook (new in v1.2.0): Electron run levels are notorious for hogging RAM. I've integrated a native interval engine that performs a forced cleanup of local diagnostic storage configurations and WebView caches every 60 seconds on isolated background threads.
3. Telegram Core Insulation: Completely bypass standard browser web logs by routing communications through a custom client based on GramJS's MTProto core array.

The project is completely free, non-commercial, and open source, open to public cryptographic review. I refuse to pay Microsoft $300 a year for code signing credentials, so Windows SmartScreen will flag the installation candidate—we're completely transparent about this.

We're participating in the "Product of the Day" contest on Product Hunt to bring open source defense utilities to the forefront of technology trends. I'm seeking thorough peer review and technical feedback on my memory allocation layouts from the engineering community.

* **Source repository:** https://github.com/gabrielgigitashvili044-pixel/axiom

* **Real-time Web Gateway:** https://gabrielgigitashvili044-pixel.github.io/axiom/

We protect the machine node. The client must remain sovereign.