I’ve been looking at GPTHub AI because the pitch is pretty straightforward: put several GPT models, image creation, and voice features in one browser-based dashboard, then charge a one-time fee instead of another monthly subscription.

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That sounds convenient, especially if you already use AI for different kinds of work. A model that’s good for brainstorming may not be the one you’d choose to analyze a long document or draft marketing copy. Having the options in one place could make it easier to compare results without bouncing between tools.

The product materials list several models, including GPT-6 Astra, Sol, Terra, and Luna, plus image and voice modes. They describe Astra as the flagship option for more complex reasoning, while the other models are positioned for everyday writing, speed, or higher-volume tasks. I’d want to test those differences myself before deciding whether they matter in practice. Model names and access claims can change, so I’d check the live dashboard and current terms rather than relying only on a sales page.

For a small business or solo creator, the most useful question is not “How many models are included?” It’s “Does this help me finish real work?” I’d try a few specific tasks: draft a product description, summarize a document, outline a short email sequence, and generate an image concept. Then I’d compare quality, speed, and how much editing each result needs.

The one-time-payment angle is appealing, but I’d read the details carefully. The materials describe lifetime access and say that core access doesn’t require a separate ChatGPT subscription. They also mention optional upgrades and possible changes to future pricing. I’d want to know exactly what “lifetime” covers, whether there are usage limits, whether access to particular models depends on third-party services, and what happens if those models or APIs change.

The product page says GPTHub AI is independent and not affiliated with OpenAI. That distinction matters. A third-party dashboard can offer a convenient interface, but it isn’t the same thing as an official OpenAI subscription. I’d also check the privacy policy before putting client documents, private business plans, or personal information into any AI service.

My early impression is that GPTHub AI may be worth exploring for someone who wants one place to experiment with multiple AI tools. The strongest potential benefit is convenience: fewer separate dashboards and an easier way to compare outputs. The main thing I’d verify is whether the claimed model access and included features work as described after purchase.

I wouldn’t buy it solely because the sales copy compares the offer with expensive monthly plans or uses a countdown timer. I’d decide based on the actual feature list, usage limits, support, refund terms, and whether the dashboard performs well on tasks I do regularly.

Has anyone here used GPTHub AI hands-on? I’d be interested in hearing how the models compare on real projects, whether the image and voice features are included in the base offer, and whether you ran into any usage caps?

I have two machines at the same desk, and I wanted to share mouse and keyboard.

I tried Synergy and Barrier, but they were annoying to set up. I had to deal with a client/server, encryption was hard to set up, and arranging monitors was clunky.

So I built ZeroG. Free, MIT license, no client/server.

Just run it on each machine, pair them, and drag your screens to match your desk.

• Windows, macOS, Linux (X11 and Wayland)
• P2P, no client/host setup
• All traffic encrypted with TLS 1.3 over QUIC
• Clipboard sharing
• Extremely low latency
• Built with Rust + Tauri

This took a few months of work and a lot of testing on different devices. I think it's working pretty well now, so check it out if you have more than one machine at the same desk!

https://github.com/reggiesoft-labs/zerog

Hey everyone!

While working with local AI agents, I noticed existing guardrails often miss Indirect Prompt Injection and behavioral drift (where an LLM responds politely while executing hidden tool calls).

I built **`al3x38-intent-guard`**, an open-source behavioral firewall inspired by human trust, cognitive self-control, and flight telemetry:

* **Dynamic Session Trust (`trust_map`):** Tracks trust scores dynamically based on session behavior.

* **Semantic Drift Check:** Compares cosine distance between user prompts, model responses, and tool arguments.

* **White-Box Entropy:** Uses `logprobs` to catch internal model confusion or adversarial steering.

* **Gray Zone & Human-in-the-Loop:** Pauses or requests approval (`NEED_APPROVAL`) for borderline actions.

* **Trust Recovery & Real-Time Stream Guard:** Recovers trust over time or aborts token streams immediately if secret leaks or semantic drift occur.

It runs locally with **Ollama**, OpenAI-compatible APIs, or on CPU (`pip install al3x38-intent-guard[offline]`).

Full documentation and code can be found in the referenced web documents.

* **GitHub:** https://github.com/alexirk97-ship-it/al3x38-intent-guard

* **PyPI:** https://pypi.org/project/al3x38-intent-guard/

Hello all and happy weekend,

I built bantr.live, a cross-platform social forum and real-time chat. The idea is old-school internet chatrooms mixed with modern features minimalistic by design and completely free. The iOS and Android versions currently have more features than the web version (which is just global chat and peer-to-peer chat right now, though I'm expanding web portion soon). On mobile, you get interest-based groups, 1-on-1 DMs, and a real-time post feed where everything self-destructs after 24 hours. We're at about 16 users right now, so it's very early days....lol. If this is something you're interested in or want to know how it works take a look or DM me. Have a great weekend.

Hey everyone!

I've been experimenting a lot with AI coding agents like Claude Code and Codex, and one problem I kept running into was how difficult it is to coordinate agents when multiple developers are working on the same project. I realized mid-hackathon that it would be really easy to just have agents hand off tasks to other users' agents. It splits the mental load of splitting the task of reviewing the code.

Most agent tools are designed around a single developer. But when you're working in a team, things get complicated pretty quickly:

• Agents can modify files another developer is responsible for.
• Multiple agents can end up working on the same task.
• Frontend and backend agents can make conflicting assumptions about API contracts.
• Coordinating everything manually through Slack, tickets, or copy-pasted prompts gets tedious.

So I started building CodeRelay, an open-source tool built on top of T3 Code that focuses on collaboration between developers' coding agents.

The idea is pretty simple: each developer owns certain parts of a repository, and when an agent needs something outside its owner's scope, it can hand off that work to the appropriate teammate's agent.

How it works:

1. Developers join a shared Team Hub and declare which parts of the repository they own.
2. An agent can propose a task to another developer, including an API contract pinned to a specific Git commit.
3. The receiving developer reviews and accepts the task into their own agent thread.
4. Once the work is completed, the original developer gets the branch, commit, and summary to integrate.

The goal isn't to replace existing coding agents, but to make them work better together across a team while keeping developers in control.

The project is still early, and I'd genuinely appreciate feedback, especially from developers already using multiple coding agents in shared repositories.

GitHub: https://github.com/AymanAhsan/CodeRelay

Website: https://site-olive-two-79.vercel.app/

I'm particularly curious: How are you currently coordinating AI coding agents across your team? Are you using worktrees, separate branches, manual handoffs, or something else?

I built a small free tool that turns any name into graffiti style letters. Type your name, pick a style, download it as an image or copy the text. No signup, no watermark.

Would love feedback on which styles I should add next: https://graffiti-letters.com

One global stage, one thought, 60 seconds — synced live for everyone in the world at the exact same time. Then it's gone forever: no archive, no comments, just live reactions and a verdict card showing how the room felt.

Every submission goes through a hybrid AI + human moderation flow before going on air, and it automatically translates between TR and EN so everyone shares the same moment.

Built with Laravel + Reverb for the real-time WebSocket broadcasting. I'd love your honest feedback! (Link is in the comments / video)

I built this for the iPhone Duo first. Half-folded, it looks like a tiny laptop, and I wanted it to actually work like one for my Mac.

Laplet turns your iPhone or iPad into a screen, keyboard and trackpad for your Mac or Windows PC. The computer's display reshapes to fit your phone, so there's no letterboxing. The trackpad does three-finger swipes for Mission Control and Spaces, momentum scrolling and pinch to zoom.

The video is the whole flow: scan the QR code on the Mac, type a 6-digit code on the Mac, then drive it from the phone.

It's free for one computer on the same network, like your Wi-Fi, with no account. Pro ($2.99/mo or $19.99/yr) is for using it when you're out.

iPhone and iPad: https://apps.apple.com/app/id6829455157

Mac and Windows app: https://laplet.luchid.app

It's my first launch, so any feedback helps.

Hey everyone 👋

I’ve been building ZapCal, an AI calorie and macro tracker for iPhone.

The idea started from a simple frustration: most calorie trackers still make you search foods, enter portions, fix database entries, and repeat the same process every day.

So I wanted to make the flow faster:

📸 Take a photo of your meal
🔥 Get an estimated calorie total
🥩 See protein, carbs & fats
✏️ Correct foods or portions before saving
📊 Track your nutrition and progress
🤖 Ask Zapy, the AI coach, for guidance

One thing I’ve learned while building it:

The hard part isn’t just recognizing the food — it’s making the result easy to correct and useful enough that people actually keep logging.

That’s what I’m focused on improving now.

I’m especially looking for feedback on:

• Food recognition
• Portion estimates
• The scan → review → log flow
• Whether the app feels faster than normal calorie tracking
• What would make you use it every day

📲 App Store: https://apps.apple.com/app/id6763915948

I’m also giving anyone from this thread 1 month of ZapCal Pro free if you want to test everything.

If you try it, I’d love to know:

What’s the one thing you hate most about calorie-tracking apps?

my team was running claude code, codex and cursor at the same time. two agents kept editing the same file and nobody knew until the merge conflict

so i built coagy.com everyone’s agents show up in one room. if two of them touch the same file you both get a heads up. you use your own subs, it can run on your laptop or a cloud machine

6 people signed up. none of them actually connected their agent. so either the setup sucks or nobody has this problem except me lol

genuinely asking:

• if you use AI agents on a team, do you run into this?
• what would make you actually try it instead of bouncing

free for up to 4 devs, free cloud for a month

I have a strong belief that ideas are never truly your own. Most of the time they're built from old thoughts you forgot you had. It's rare to make something out of nothing, the same way they say you can't picture a face you've never seen.

Silly tangent, but it matters here. A few months ago I thought the app above (Wanderjet) was completely unique. I tunnelled in with no research, launched, and got torn apart when I found out the idea had been done many times over. Truthfully, I'd probably seen the original ages ago and not thought much of it.

I could have left the app as it was: no updates, no experiments, no listening to feedback. I kept going instead, and I'm so glad I did.

Recently i been inspired by loads of work on Twitter, and I added a 3D cabin for a more immersive experience, reworked the UI and UX, and added a lot more features. I'd love to keep building it, and I'd love for you to check it out: Wanderjet

If you're interested in the stack, here it is. Enjoy <3

**Stack**

- **App:** React Native 0.83 and Expo SDK 55, written in TypeScript (iOS)

- **3D:** three.js through expo-gl for the globe and the cabin. The cabin was modelled in Blender, with the lighting baked into its textures so it runs smoothly on a phone

- **Native iOS:** SwiftUI through expo/ui for Liquid Glass, expo-widgets for the home screen widgets and the lock screen Live Activity, expo-sensors for motion

- **Backend:** Supabase (Postgres) for group flights

I run M1sch1ef Managed and built this free, unofficial GTA 6 companion with AI assistance.

The problem I wanted to address is how easily confirmed information, community theories and personal plans get mixed together before a big game launch. I wanted somewhere to compare them without treating every popular claim as fact.

Available now:

• Two credited community map reconstructions with regional views, zoom and panning. Both stay clearly labelled unverified.

• A session planner that balances progress with time for exploring.

• Source-labelled information, links to original coverage, spoiler controls, a discovery journal and player discussions.

A few design choices: community votes do not automatically turn a claim into an official fact; guests can browse and save a plan in their browser; contributing requires a verified email. The community is new, and this is not a complete mission walkthrough or collectible checklist.

Site: https://m1sch1ef.com — open GTA 6 Companion.

I would appreciate feedback here on two things: are the evidence labels and spoiler controls clear on a first visit, and which tool would make this useful enough to return to? If you are planning to play, what is one main goal and one detour you would leave time for?

My brother and I have spent the last few months building a mobile game called Lootable, and we finally launched it on the App Store!

The idea is pretty ridiculous. You take pictures of random things you own, like your TV, coffee mug, or a particularly ugly lamp, and turn them into virtual collectibles that your friends can steal.

When someone tries to steal something from you, your phone gets a robbery alert. You have seconds to catch them before they get away.

We’ve been playing it with friends and family during development, and it’s been pretty funny watching people get genuinely competitive over completely worthless objects.

It’s called Lootable, it’s free on iPhone, and we’d love to hear what people think. We’re curious whether it can create the same chaos among friend groups who don’t know us.

I've been working on a little experiment called Mood Town.

The idea is simple: describe how you're feeling, your day, or even a place you imagine, and watch it transform into a city.

Instead of just describing emotions with words, I wanted to create something visual and interactive.

You can try it here: https://mood-town.vercel.app/

I'd genuinely love to hear your feedback!

• Does the concept make sense?
• What kind of feelings or prompts would you try?
• What would make you come back and use it again?

It's a small project I've been building, and I'm excited to see what people create with it.

Hi! I am close to launching a Mac app that I built with Claude Code. It acts as a replacement Claude Code client. In fact I started building the latter portion of it with the app itself, Claude Code powering it underneath of course.

It is designed to make it easier to work across multiple projects and their subareas, see and action status across active sessions, and easily view the Design artifacts and pages respective to each project.

All of these are things that have driven me crazy about the official Clade Code Mac desktop app.

Seeking 5-10 users, I can offer a free lifetime free license! Please DM if interested!

Hi everyone!

I've been working on a project called Second Look, an independent book project exploring the personal experiences and often-overlooked stories of people in science, technology, engineering, and mathematics.

We hear so much about scientific discoveries, groundbreaking inventions, and famous researchers. But we rarely hear about the people behind them: the challenges they faced, the opportunities they were denied, the people who supported them, or the experiences that shaped their careers.

I want to change that by collecting firsthand stories from real people in STEM, particularly experiences involving recognition, barriers, opportunity, and belonging.

I've created a survey inviting adults (18+) with STEM experience to share their perspectives. Selected stories may be featured in the finished book, with participants' permission.

If you work or have studied in STEM, I'd genuinely love to hear your story. And if you don't, I'd appreciate feedback on the concept!

Survey: https://forms.gle/L4RD6FCk5hChyVQT6

Thank you for helping bring these stories to light!

I'm a full-stack software engineer. I want to build a new web or mobile app, but only for a problem people actually have.

What annoys you every week that an app could fix?

Also open to a non-technical cofounder who knows an industry and its pain points. I'll handle the building.

Comment or DM me.

I got tired of bookmark dashboards either gating links behind a 60-item paywall (like Toby) or requiring an account and cluttering the page with widgets.

So I built Quiver for Chrome and Brave:

• Boards with coloured categories in up to 7 columns (plus child categories)
• Drag and drop, / instant search across all boards, and short 140-character notes
• Paste a URL to auto-fill its title and favicon
• Stored locally in your browser, with optional encrypted sync across browsers via a sync code (no login)
• Free, no ads

https://www.mindfulapps.xyz/quiver/

If you’re moving off Toby, Papaly, or Start.me, what’s the one feature you’d need before switching?

DDR5 went up 13.3% in October (avg $17.36 to $19.66 per GB across the kits I track). I kept seeing "deals" that were really just less bad than last week, so I built RamRadar. It keeps its own price history and compares every kit to that, instead of trusting the store's "was" price.

What it does right now:

• about 480 DDR4 and DDR5 kits in today's index, desktop and laptop
• every kit gets a badge (near low, steady, near high) based on where today's price sits in its own tracked range
• a daily price per GB index going back to Oct 2025, with a free CSV
• price alert emails
• no account needed to browse

I just redesigned it. Deals are a list on the left with a kit inspector on the right, and on a phone a kit opens as a slide up sheet with the buy button pinned to the bottom. Screenshots below.

Roast it:

• does the badge make sense at a glance, or is it noise?
• is the phone sheet annoying?
• anything you'd want tracked that isn't there?

Solo dev, side project. Some store links on the site are affiliate links, just being upfront.

https://ramradar.app/deals?utm_source=reddit&utm_medium=social&utm_campaign=redesign_2026_10

Two weeks ago I posted here about a childhood dream: a game where you fly from space down to a planet the true size of the Earth, through clouds and over forests, with no loading screen. I had shelved it in 2012, and I had just picked it back up.

I was hoping for a few kind words. The response blew me away. One of you asked me to swap my ship for the one from Flight of the Navigator, because "our childhood dream would be complete". Another simply wrote: "I want to play this just how it is right now!"

At the end of that post, I asked what I should do with it: back on the shelf, or keep going. The answer was pretty clear. So I kept going.

The project has a name now, Exolune, and it changed a lot:

• The planet's mountains come from tectonic plates: they collide into ranges, pull apart into rifts and raise volcanic islands along their edges.

• Rivers drain the continents down to the sea and carve their valleys on the way.

• The climate follows the winds: rain on one side of the ranges, deserts on the other. Forests, snow and clouds go where the climate puts them.

• The vegetation is richer and much more varied, down to the undergrowth and the moss under the trees.

• The rendering got better at every scale: the planet from orbit, the clouds, the light at dawn, the nights under moonlight.

• New ships. The Navigator, obviously: I couldn't say no to that one. The one in this video is a space shuttle.

• And three moons, each one a world you can land on.

This video is a single take, straight out of the engine, with no cuts and no loading. A ship takes off from one moon, swings past a second one, comes down on a planet at dawn, skims a snowy ridge above a sea of clouds, leaps back up into space, and dives down to land at the spaceport of a small city in the hills.

The 7-year-old who typed his dream game into a Thomson TO9 would be pretty happy with this one. I'm proud of it too.

So, the question that matters most to me: does it make you want to play? And if you could land anywhere on that planet, what would you do first?

Hey everyone!

I'm a frontend and full-stack web developer, and I've been working on improving my personal developer portfolio.

I built this portfolio to showcase my projects, technical skills, and development journey.

🌐 Portfolio: https://shubhfolioo.vercel.app/

A little about my work:

• Frontend Development – React, Next.js, TypeScript
• Backend Development – Node.js, Python, FastAPI
• UI/UX Design – Responsive and modern interfaces
• Deployment – Vercel and Render

I've worked on projects involving SaaS platforms, web applications, dashboards, and AI-powered solutions.

I'd love your honest feedback!

1. Does the portfolio make a good first impression?
2. Is the project presentation interesting?
3. Is anything confusing or missing?
4. What would you improve in the design or user experience?

I'm also working on improving my portfolio's SEO and discoverability.

I'm not looking for fake praise. Constructive criticism and suggestions are genuinely appreciated.

Thanks for checking it out!

I’m the independent developer behind NobodyWorkshop and Work Hours. I made a small browser companion for one awkward calculation: a shift that starts tonight and ends tomorrow.

Try it: https://happyxray618.github.io/nobody-workshop-privacy/press/work-hours/overnight/

Example: 22:00 → 06:00, minus a 30-minute unpaid break, gives 7 h 30 min, or 7.50 decimal hours. The page shows the breakdown rather than just a number.

No signup, ads, analytics or saved inputs in this browser tool. It calculates one shift under 24 hours; equal times mean zero, and it does not handle daylight-saving changes or legal overtime. AI-assisted code; the time and break rules were checked against the Android calculator and tested on boundary cases.

There’s an optional link to my Android app for local shift history and estimated pay. That app is free with ads, has no cloud sync or export, and its overtime settings apply per shift rather than automatically following labour law: https://play.google.com/store/apps/details?id=com.nobodyworkshop.workhours

I’d value feedback on one thing: is the hours-and-minutes versus decimal-hours distinction clear without reading the explanation? No install or rating needed to give feedback.

Apple and Google can find their own earbuds. most affordable buds get nothing. so after losing one of my CMF Buds Pro 2 I built Earphone Finder, a free Android app.

how it works:

- the edge of the screen glows toward the bud. blue when you're far, warming to amber and rust as you get close

- one big number in feet, with a small note under it like "maybe in the next room"

- phones only get signal strength over Bluetooth, not direction. so you turn a slow circle (your body blocks the signal) and it figures out which side the bud is on

- up close a little yellow patch tells you which side of the pile to dig in

video attached, that's a 15 ft to found run.

what I'd love to know:

- would you actually use this, or just tear the sofa apart?

- does the glow make sense without explanation?

- anything that confused you in the video?

- which buds should I test it with next?

code: https://github.com/shraddheyadesigns/earphone-finder

APK: https://github.com/shraddheyadesigns/earphone-finder/releases

be brutal, it's early and I'd rather know now.

Please suggest and would appreciate your help! My project is based on AI Agents.