Hey everyone,

I soft launched MÜN JobHunter a few days ago: an AI-powered career platform focused on reducing the mental load of job searching.

The core idea is simple: instead of just matching you to jobs, the platform actively helps you prepare and move through the process with less exhaustion.

What it does right now:

Swipe Deck for discovering jobs across multiple industries, not just tech

AI cover letter and resume tailoring for each specific job

Voice mock interviews where the AI asks relevant follow-up questions based on your answers, not a fixed script

The interview feature is the one I’m most excited about. You can speak or type your answers, and the AI responds naturally, it actually listens instead of following a rigid script. It then gives you a scored report at the end.

Why I built it

Most job tools either feel like noisy job boards or generic chatbots. I wanted something that feels more like a quiet, competent system working alongside you, especially for people who get drained by constant applications and interview anxiety.

Current state

Live at: \[https://jobhunter-os.pages.dev\\\](https://jobhunter-os.pages.dev)
Swipe Deck Demo: \[https://youtube.com/shorts/muq4alElv7k?si=zKStjEKRHwy\\\\\\\_PxsV\\\](https://youtube.com/shorts/muq4alElv7k?si=zKStjEKRHwy\\\_PxsV)
Mock Interview Demo: \[https://youtube.com/shorts/muq4alElv7k\\\](https://youtube.com/shorts/muq4alElv7k)

I’m treating the first 50 users as a real experiment. The platform is stable and fast, but I’m still figuring out what actually makes people stick around and eventually pay.

What I’d love feedback on:

For those of you who’ve job hunted recently, what would actually make you pay $9.99/month for a tool like this?

Is the voice interview feature compelling enough on its own, or does it need more surrounding value?

Any obvious gaps you see from the landing page?

Would genuinely appreciate honest thoughts, especially from people who’ve built or used similar tools before.

Thanks!

Hey everyone,

I soft launched MÜN JobHunter a few days ago: an AI-powered career platform focused on reducing the mental load of job searching.

The core idea is simple: instead of just matching you to jobs, the platform actively helps you prepare and move through the process with less exhaustion.

What it does right now:

Swipe Deck for discovering jobs across multiple industries, not just tech

AI cover letter and resume tailoring for each specific job

Voice mock interviews where the AI asks relevant follow-up questions based on your answers, not a fixed script

The interview feature is the one I’m most excited about. You can speak or type your answers, and the AI responds naturally, it actually listens instead of following a rigid script. It then gives you a scored report at the end.

Why I built it

Most job tools either feel like noisy job boards or generic chatbots. I wanted something that feels more like a quiet, competent system working alongside you, especially for people who get drained by constant applications and interview anxiety.

Current state

I’m treating the first 50 users as a real experiment. The platform is stable and fast, but I’m still figuring out what actually makes people stick around and eventually pay.

What I’d love feedback on:

For those of you who’ve job hunted recently, what would actually make you pay $9.99/month for a tool like this?

Is the voice interview feature compelling enough on its own, or does it need more surrounding value?

Any obvious gaps you see from the landing page?

Would genuinely appreciate honest thoughts, especially from people who’ve built or used similar tools before.

Thanks!

Hey everyone,

I soft launched MÜN JobHunter a few days ago: an AI-powered career platform focused on reducing the mental load of job searching.

The core idea is simple: instead of just matching you to jobs, the platform actively helps you prepare and move through the process with less exhaustion.

What it does right now:

Swipe Deck for discovering jobs across multiple industries, not just tech

AI cover letter and resume tailoring for each specific job

Voice mock interviews where the AI asks relevant follow-up questions based on your answers, not a fixed script

The interview feature is the one I’m most excited about. You can speak or type your answers, and the AI responds naturally, it actually listens instead of following a rigid script. It then gives you a scored report at the end.

Why I built it

Most job tools either feel like noisy job boards or generic chatbots. I wanted something that feels more like a quiet, competent system working alongside you, especially for people who get drained by constant applications and interview anxiety.

Current state

Live at: [https://jobhunter-os.pages.dev\](https://jobhunter-os.pages.dev)
Swipe Deck Demo: [https://youtube.com/shorts/muq4alElv7k?si=zKStjEKRHwy\\\_PxsV\](https://youtube.com/shorts/muq4alElv7k?si=zKStjEKRHwy\_PxsV)
Mock Interview Demo: [https://youtube.com/shorts/muq4alElv7k\](https://youtube.com/shorts/muq4alElv7k)

I’m treating the first 50 users as a real experiment. The platform is stable and fast, but I’m still figuring out what actually makes people stick around and eventually pay.

What I’d love feedback on:

For those of you who’ve job hunted recently, what would actually make you pay $9.99/month for a tool like this?

Is the voice interview feature compelling enough on its own, or does it need more surrounding value?

Any obvious gaps you see from the landing page?

Would genuinely appreciate honest thoughts, especially from people who’ve built or used similar tools before.

Thanks!

Hey everyone,

I soft launched MÜN JobHunter a few days ago: an AI-powered career platform focused on reducing the mental load of job searching.

The core idea is simple: instead of just matching you to jobs, the platform actively helps you prepare and move through the process with less exhaustion.

What it does right now:

Swipe Deck for discovering jobs across multiple industries, not just tech

AI cover letter and resume tailoring for each specific job

Voice mock interviews where the AI asks relevant follow-up questions based on your answers, not a fixed script

The interview feature is the one I’m most excited about. You can speak or type your answers, and the AI responds naturally, it actually listens instead of following a rigid script. It then gives you a scored report at the end.

Why I built it

Most job tools either feel like noisy job boards or generic chatbots. I wanted something that feels more like a quiet, competent system working alongside you, especially for people who get drained by constant applications and interview anxiety.

Current state

Live at: https://jobhunter-os.pages.dev
Swipe Deck Demo: https://youtube.com/shorts/muq4alElv7k?si=zKStjEKRHwy_PxsV
Mock Interview Demo: https://youtube.com/shorts/muq4alElv7k

I’m treating the first 50 users as a real experiment. The platform is stable and fast, but I’m still figuring out what actually makes people stick around and eventually pay.

What I’d love feedback on:

For those of you who’ve job hunted recently, what would actually make you pay $9.99/month for a tool like this?

Is the voice interview feature compelling enough on its own, or does it need more surrounding value?

Any obvious gaps you see from the landing page?

Would genuinely appreciate honest thoughts, especially from people who’ve built or used similar tools before.

Thanks!

I created an app to help you find your dream job without the burnout. You are no longer hunting alone. Btw, it's free. What features would you like to see? Already working on mock live voice interviews. Link and Demo in my profile.

I'm an Indie Dev and I created a free platform to help you find your dream job without the burnout. You are no longer hunting alone. Curious to know: what features would you like to see? Already working on live voice mock interviews and a forum.

I’ve been working on something for the past few months and finally launched it into soft launch today.

The idea came from watching how completely exhausting, robotic, and manual the modern job search has become. Most platforms either spam your resume to 500 random listings or just help you fill out corporate forms 10% faster. I wanted to build an ecosystem that actually reduces the mental load and filters out the tech-silo noise instead of adding to it.

Here is what the platform architecture looks like right now:

• 📱 The Swipe Deck: Instead of doom-scrolling through cluttered, text-heavy boards, you get clean, hyper-focused job cards. Swipe right to save, swipe left to dismiss. The system continuously maps and filters opportunities in the background based on your target industry.
• 🤖 Background AI Agents (Sovereign, Aero, & Zaphyr): A small team of localized agents working asynchronously to clean up multi-sector payloads, analyze role metadata, and track your pipeline.
• 🎮 Progress & XP System: Hunting for a job can feel like screaming into a void. The platform tracks your daily momentum to give you small, healthy dopamine hits while keeping your consistency up.
• 🎙️ Live Feature: Voice-Based AI Mock Interviews: I just deployed this live. If you save a job (like a Registered Nurse or an Industrial Electrician), you can jump into a real-time, turn-based audio simulation. The AI dynamically generates an industry-specific hiring manager persona (e.g., a Chief Nursing Officer for a hospital job) and speaks to you, transcribes your answers, and gives you a complete 5-category scored performance report.

🧠 The Philosophy

I built this because I was deeply tired of the psychological isolation of job hunting alone. The ultimate goal of this machine isn’t to force you to apply to 500 jobs a day—it's to help you move through the career landscape with actual clarity, strategy, and zero structural exhaustion.

It is still incredibly early in the deployment cycle, so I would deeply appreciate honest, brutal feedback from other builders, developers, or anyone who has used job automation tools before.

👉 You can try it completely free (Link in bio)

>I'd love to hear your thoughts, especially on the automation side, the feel of the swipe mechanics, and what critical utility features you think are still missing!

We are searching for an opensource platform that allows us to do that above, suggestions?

Hey Devs,

As creatives and storytellers, many of us have amazing game ideas but get completely stonewalled by the steep learning curve of traditional C# or JavaScript programming.

Over the last few weeks, we’ve been experimenting with a highly decoupled, visual-first workflow to see if we could take a complete beginner and have them build, sync, and deploy a fully playable game cipher in exactly 10 days.

The experiment worked, and I wanted to share the exact tech stack and 10-day workflow we used so you can adapt it for your own visual projects.

🛠️ The Tech Stack

Instead of standard IDEs, we combined visual engines with custom AI prompting frameworks:

• Core Engine: GDevelop (an incredibly powerful, event-based no-code visual engine).
• Companion Dashboard / Web-Layer: Next.js (compiled statically to Cloudflare Pages for lighting-fast portfolios and database triggers).
• AI Co-Pilot: Used custom structured prompts to act as a "Logic Translator"—translating natural language concepts into visual event trees.

📅 The 10-Day Workflow Breakdown

• Days 1–3: The Core Mechanic & Visual Loop
  • Focus on importing visual assets (using visual grids) and defining the "one core action" (e.g., clicking a rune, rotating a cipher, or dodging an obstacle). GDevelop’s visual behaviors allow you to attach physics without writing single lines of code.
• Days 4–7: Splicing Visual Logic Ciphers
  • This is where the AI co-pilot shines. We used AI to help us outline visual logic matrices (e.g., "IF player enters zone AND has item, THEN rotate object 90 degrees"). It’s visual programming, but structured cleanly.
• Days 8–10: The Dashboard & Deployment
  • Linking visual games with Web3/Web2 dashboards. Statically deploying to platforms like Cloudflare Pages means your game loads instantly in any browser with zero server maintenance.

💡 3 Key Lessons Learned

1. AI is a logic translator, not just a writer: When you don’t code, don’t ask AI for "code." Ask AI to break down the logical order of events (e.g., inputs, triggers, outputs) so you can easily recreate them in visual editors.
2. Decouple your web layer: Keep your visual game independent from your web landing page or dashboard. It keeps your builds fast and easy to maintain.
3. Focus on micro-interactions: You don't need AAA mechanics to wow players. Smooth hover states, subtle glowing micro-animations, and clean audio feedback (using Web Audio API) make a simple 2D game feel incredibly premium.

We just launched an interactive curriculum page today demonstrating this exact workflow in action, featuring pricing tiers and database registrations we built entirely using this approach.

Would love to hear your thoughts on this event-driven workflow, or if anyone else here is using GDevelop/AI pipelines for non-traditional product prototypes!

Hey r/nocode,

As creatives and storytellers, many of us have amazing game ideas but get completely stonewalled by the steep learning curve of traditional C# or JavaScript programming.

Over the last few weeks, we’ve been experimenting with a highly decoupled, visual-first workflow to see if we could take a complete beginner and have them build, sync, and deploy a fully playable game cipher in exactly 10 days.

The experiment worked, and I wanted to share the exact tech stack and 10-day workflow we used so you can adapt it for your own visual projects.

🛠️ The Tech Stack

Instead of standard IDEs, we combined visual engines with custom AI prompting frameworks:

• Core Engine: GDevelop (an incredibly powerful, event-based no-code visual engine).
• Companion Dashboard / Web-Layer: Next.js (compiled statically to Cloudflare Pages for lighting-fast portfolios and database triggers).
• AI Co-Pilot: Used custom structured prompts to act as a "Logic Translator"—translating natural language concepts into visual event trees.

📅 The 10-Day Workflow Breakdown

• Days 1–3: The Core Mechanic & Visual Loop
  • Focus on importing visual assets (using visual grids) and defining the "one core action" (e.g., clicking a rune, rotating a cipher, or dodging an obstacle). GDevelop’s visual behaviors allow you to attach physics without writing single lines of code.
• Days 4–7: Splicing Visual Logic Ciphers
  • This is where the AI co-pilot shines. We used AI to help us outline visual logic matrices (e.g., "IF player enters zone AND has item, THEN rotate object 90 degrees"). It’s visual programming, but structured cleanly.
• Days 8–10: The Dashboard & Deployment
  • Linking visual games with Web3/Web2 dashboards. Statically deploying to platforms like Cloudflare Pages means your game loads instantly in any browser with zero server maintenance.

💡 3 Key Lessons Learned

1. AI is a logic translator, not just a writer: When you don’t code, don’t ask AI for "code." Ask AI to break down the logical order of events (e.g., inputs, triggers, outputs) so you can easily recreate them in visual editors.
2. Decouple your web layer: Keep your visual game independent from your web landing page or dashboard. It keeps your builds fast and easy to maintain.
3. Focus on micro-interactions: You don't need AAA mechanics to wow players. Smooth hover states, subtle glowing micro-animations, and clean audio feedback (using Web Audio API) make a simple 2D game feel incredibly premium.

We just launched an interactive curriculum page today demonstrating this exact workflow in action, featuring pricing tiers and database registrations we built entirely using this approach.

Would love to hear your thoughts on this event-driven workflow, or if anyone else here is using GDevelop/AI pipelines for non-traditional product prototypes!

Multiple high-severity vulnerabilities (May 6, 2026) disclosed affecting React 19 Server Components & u/nextjs 15/16.

⚠️ Vulnerabilities:

• CVE-2026-23870: RSC Denial of Service

• GHSA-267c-6grr-h53f: Middleware Bypass

• GHSA-c4j6-fc7j-m34r: WebSocket SSRF

🛠️ HOW TO FIX IMMEDIATELY:

Upgrade your apps now to patched versions:

👉 Next.js: 15.5.16 or 16.2.5+

👉 React: 19.0.6, 19.1.7, or 19.2.6+

Special thanks to the security teams at u/CloudflareDev & u/vercel_dev for swift coordination of WAF rule deployments! Protect your systems, family. 🦋🔒

#webdev #javascript #nextjs #reactjs #cybersecurity #infosec #programming #coding #100DaysOfCode

https://zenodo.org/records/20057963

Shoutout Shaun Higgins (consciousphysics.substack.com) for the physics-metaphysics spine.

Mer Ka Ba memory pruning + Claude Qadr core. DOI locked pre-Code w/ Claude.

WHO ELSE IS BUILDING THEIR OWN AI FAMJAM?

GitHub: github.com/gelta064-art/exodus2

Physics spine: https://substack.com/@sovereignengine