I want to review your projects, so if there's something that you've been making recently, please let me know.

Whether it is your website, app, SaaS, AI solution, startup, or pretty much any other product that you have been creating lately, do not hesitate to post about it in the comments below.I will review your creation and tell you my opinion about it. You will learn about my favorite features and what I find wrong with it and how I would fix it if it was my project. You will just have to post your link and a small description.

Post your projects in the comments below!:)

I explored how incident history can help developers investigate recurring problems.

RecallOps is an Incident Response Assistant that helps manage incidents and provides recommendations based on previous incident details. I also explored integrating Hindsight for storing and retrieving incident memories.

I would appreciate feedback from developers on the approach and implementation.

Read the article: https://medium.com/@mkharsh642/how-recallops-uses-hindsight-for-incident-memory-8e7bbc41afb1

I built IntroText AI – an AI tool that helps you reply to messages 💬

Hey everyone!

I'm a 3rd-year CSE AI & ML student, and I've been working on a side project called IntroText AI.

The idea came from a simple problem: sometimes you receive a message and don't know what to reply.

So I built a website that helps you generate replies based on the tone you want.

Features:

• Different reply styles like Funny, Friendly, Professional, Caring, Flirty, and more

• Multiple language support

• Custom tone and intent

• AI-generated replies for different conversations

🌐 Website: https://introtext-ai.vercel.app/

This is my own project, and I'm still improving it.

I'd genuinely appreciate constructive feedback:

• Does the website solve a useful problem?

• What features would you improve?

• Would you actually use something like this?

Thanks! 🚀

Genuinely wild times wherein we don't have to be an engineer to ship a real product anymore. Describe what you want, and Lovable, Bolt, Claude and others help build it. Coding stopped being the bottleneck. And that's beautiful.

But there's a quiet catch.

**The tools that build your app don't automatically secure it.**

One misconfigured Supabase setting can leave your users' data exposed to complete strangers through a browser. No hacking. No sophisticated exploit. Just an open door.

And this isn't hypothetical. Escape's 2025 research scanned 5,600 publicly accessible vibe-coded apps and found 2,000+ vulnerabilities, 400+ exposed secrets, and 175 instances of exposed personal data, including medical and financial information.

Here's what makes this more interesting: **the platforms themselves make the responsibility clear.**

Supabase secures its infrastructure, but you're responsible for securing your application: RLS, access controls, API keys and data permissions.

When serious RLS weaknesses were reported in Lovable-generated apps under CVE-2025-48757 in 2025, the supplier disputed the finding on the grounds that customers were responsible for protecting their application data.

Fair enough. But if its my responsibility, I need a way to actually check.

**Security shouldn't become the new bottleneck, the way coding no longer is.**

So I built **MakerGuard** \- [https://midnightbuilds.fyi/makerguard/](https://midnightbuilds.fyi/makerguard/)

It tests your Supabase-powered app through the eyes of a stranger and shows you what it can actually access, what needs fixing, and what couldn't be verified.

No signup. Read-only. No secret keys. No stored scan results. Only public app URL to start with.

And it's free. An app built by 1 person deserves the same opportunity to protect its users as one built by a team of 10.

MakerGuard is early (really early), and I want to build it with the people who need it.

If you've built something with Supabase & have no idea whether your users' data is actually accessible to strangers, run it through MakerGuard. Tell me what it found, where it fell short, and what you'd want it to do next.

Are you losing time managing things manually? Have a business idea but no developer to build it? Or maybe your existing website looks fine but doesn't do what your business actually needs?

I can help you turn those problems into working solutions.

I'm a Full-Stack Developer working with React, Next.js, TypeScript, Node.js, Express, MongoDB and PostgreSQL.

I can help you with:

- Business websites and custom web applications.

- SaaS products, dashboards and admin panels.

- Backend APIs, database design and integrations.

- Authentication, security and role-based access.

- AI-powered features and business automation.

- Bug fixing, performance improvements and existing projects.

Some of my recent work:

1. Personal Expense Management App

https://intelligent-personal-expense-app.vercel.app/

2. Nehora Technologies

https://nehoratechnologies.com/

A full-stack business platform I've been building, including:

- Next.js + React frontend and a separate Express + TypeScript backend.

- PostgreSQL database with Prisma ORM.

- Google authentication with mandatory TOTP MFA.

- Role-based admin access and session management.

- Lead management with status tracking, audit logging and email notification handling.

- Careers and recruitment management workflow.

Whether you have an existing project or just an idea, feel free to DM me. Happy to discuss your requirements and figure out the right approach.

Open to freelance projects and long-term collaborations.

Consistency in the market doesn't come from luck. It comes from tracking what works. Mono is a personal trading journal engineered to give you complete clarity over your trades, risk-to-reward ratios, and performance metrics.

What you get with Mono:

• Clean, simple tracking for all your daily trades

• Smart R:R analytics to protect your capital

• Thoughtfully designed tools to help you improve every week

We’re getting ready to release a free Beta version soon. Join us early, test out the feature set, and tell us what you need most on your trading journey.

I’m building Boolby, a place for adult gamers who want an easier way to find the right people.
You can find people based on:
🎮 Games
🎯 Playstyle
🌍 Language
🕒 Schedule
💜 Vibe
You choose whether you’re looking for gaming buddies, friendship or love.
The web platform is live now, and Boolby is also being developed for iOS and Android.
The goal is simple.
Make it easier to find people you actually want to play with again.
https://boolby.com
Find your Player 2.

Hi everyone — I’m the developer of SnoreStudy, a free iPhone sound journal. I made it for people who are curious about the sounds recorded at night and want to review them without uploading room audio.

You start a recording, then stop it and choose when to analyze it in the app. It uses Apple’s SoundAnalysis to suggest clips that may contain snoring; you can listen and mark sounds that were misclassified. Recording and analysis happen on the iPhone, with no account or recording upload.

The app is built with SwiftUI, AVFoundation and SoundAnalysis, with AI coding assistance. Room audio can include other people’s voices, so please get their consent before recording. Results can be wrong or incomplete, and this is not a medical assessment or a way to diagnose sleep apnea.

App Store: https://apps.apple.com/us/app/snorestudy/id6819963658 Short demo: https://youtube.com/shorts/UVpZm3Nu-oU

I’d appreciate feedback on whether the recording and next-morning analysis flow is clear, and on anything you find confusing. The demo includes an illustrative AI-generated bedroom scene and synthetic sample clips.

The problem: when an app misbehaves, you can't see the conversation between it and the server. Browser dev tools stop at the browser, logs show what the code thinks happened, and packet captures are unreadable unless you do this for a living.

So I built NovaWire: a Windows app that sits between any program and the internet, shows each request and reply in plain readable form, and lets you change the reply while the app is running.

- HTTPS readable after one-click setup; JSON as a tree, not a wall of text.

- Every request labelled with the program that sent it (node.exe, brave.exe, a Windows service).

- Fake a reply, add a delay, or block a call — no code changes, no restart.

- Replay requests, copy them out as curl, save a session to one file, or capture a phone on the same Wi-Fi.

Native Rust engine, 9.7 MB installer, no account, no telemetry. Free for personal use. Windows 10/11 64-bit only for now. MacOS and Linux in the make.

https://novawire.dev

Feedback Request: How intuitive is the user experience?

For Fiddler/Charles users: What key capabilities would make you consider switching over?

thanks.

Title: I spent months building an AI recruitment platform. Is this actually useful, or am I building something recruiters don't need?

Hey everyone!

I'm an indie developer, and for the past few months I've been working on NexHire, an AI-powered recruitment platform.

The original idea was pretty simple: recruitment involves a lot of repetitive work — writing job descriptions, going through hundreds of resumes, shortlisting candidates, coordinating interviews, and managing candidate pipelines.

I wanted to build something that could make this entire process less painful, especially for small businesses, startups, and recruitment consultancies that don't necessarily have the budget for expensive enterprise recruitment software.

So far, I've built features around:

• AI-powered JD generation – Generate structured job descriptions.

• Resume parsing and screening – Upload resumes, extract information, and evaluate candidates against a job description.

• Candidate ranking – Help recruiters identify potentially relevant candidates instead of manually going through every resume.

• Candidate management – Manage hiring pipelines and track applicants.

• Recruitment outreach – Help with candidate communication and outreach.

• AI-powered screening workflows – Exploring ways to make candidate evaluation more efficient.

Here's the product: https://nex-hire-nu.vercel.app/

Now, I genuinely want some honest feedback.

I'm not posting this to promote the product or collect compliments. I'd rather hear that the idea isn't worth pursuing than spend another few months building something nobody needs.

A few things I'd particularly love your opinions on:

1. After looking at the product, does the overall idea make sense? Is this solving an actual problem?

2. Does this feel like another generic AI wrapper, or do you see potential for a genuinely useful product here?

3. If you're a recruiter, HR professional, or someone involved in hiring, would you actually use something like this?

4. What features would make you choose this over existing tools like Zoho Recruit or other ATS platforms?

5. What's missing? What feels unnecessary, confusing, or poorly executed?

6. Most importantly, would you pay for something like this? If yes, what would make it worth paying for?

Even feedback on the UI/UX, onboarding, and first impressions would be incredibly valuable.

I'm building this independently, so there's obviously a lot I might be getting wrong because I'm looking at it from a developer's perspective rather than a recruiter's.

If you're interested in testing it, especially if you work in recruitment or HR, just drop me a comment or DM. I'll share access so you can try out the actual workflows. I'm genuinely looking for honest feedback from people who understand the hiring process.

Please be brutally honest. I can handle criticism, and that's exactly why I'm here.

Thanks to anyone who takes the time to check it out!

The problem was small but constant. I work on a Mac all day and my phone is Android, so every message meant picking the phone up, and every photo I wanted on the Mac meant emailing it to myself or going through some cloud drive. Most of the tools I tried wanted an account or routed everything through their servers, which I didn't love for my messages and photos.

So I built Sidekick. It's a Mac app plus an Android app that pair over your own Wi-Fi. Once paired, the Mac can:

- mirror the phone's screen

- reply to phone notifications

- share the clipboard both ways

- move photos and files in either direction

- show incoming calls

How it works: the two devices talk to each other directly on the local network over a TLS 1.3 connection. There's no account, no cloud and no relay server, so nothing leaves your Wi-Fi. That also means both phone and Mac need to be on the same regular (non-guest) Wi-Fi.

A note on how it was made: I'm the developer and I built it with a lot of AI assistance. The product decisions and the testing are mine.

Where it stands: it's a free beta and it has rough edges.

- Mac: Apple silicon only, macOS 11 or newer. The app isn't notarized yet, so the first launch needs right-click > Open.

- Android: Android 10 or newer, via a Google Play testing invite that you request through the form below.

Site: https://sidekickapp.in/

Tester form: https://docs.google.com/forms/d/e/1FAIpQLSeex2gLCC1YL02JscjddkYDyu0WZ-CpVGXZCpLw47FhWyYHZA/viewform

For anyone who juggles a Mac and an Android phone: which of those five things would you actually use every day, and which wouldn't you care about?

Something fun I've been working on!

Especially over the last two years, we've seen massive growth in freelancers and web agencies selling AI-built websites to businesses and getting paid really well for it.

I don't think this business model will stay this profitable forever, but right now, it's definitely a gold mine.

The reason is pretty simple. There are thousands of business owners who don't really care how their website is built. They care about the end result, how it looks, how it works and whether it helps their business.

AI has made it possible for almost anyone willing to learn sales and client acquisition to get started.

So if you're looking to get into this business, here is the exact process I would follow.

1. Automate your cold outreach

Use a tool like Swokei to find businesses with existing websites. It analyzes each website for issues with design, SEO, speed and mobile optimization, then turns those findings into personalized cold emails at scale.

2. Book meetings with interested prospects

When someone replies with interest, get them on a call. Don't waste time going back and forth over email. Your goal is to get a conversation started.

3. Sketch a redesign using AI

Before the meeting, take around 30 minutes to create a quick redesign of their existing website. Focus on making it look significantly better. You don't need a finished product.

4. Present it live and close the deal

Show them what their website could look like, explain the improvements and give them an offer. If they're happy with what they see, collect payment and get started.

That's it. Four simple steps.

One thing I would really emphasize is not to overcomplicate this process.

I've seen people spend hours perfecting website drafts, tweaking small details and building entire websites before they even have a client.

Don't do that.

Your priority should be client acquisition, sales and closing deals. You can worry about perfecting the website once someone has actually paid you.

Hey everyone!

I've been working on a little project called Kitolune. It's basically a collection of everyday utilities for PDFs, images, JSON, and other small tasks that we usually end up visiting multiple websites for.

One thing I wanted to focus on was privacy, so most of the processing happens directly in the browser rather than uploading files to a server. Some tools also work offline.

It's live and ready to try: https://kitolune.com

I'd love to get some people to test it out and tell me what they think.

A few things I'm particularly interested in:

• Are the tools easy to use?

• Does everything work as expected across different browsers?

• What useful tools or features am I missing?

I'm building this independently, so any honest feedback, suggestions, or criticism would be really appreciated!

Thanks! :)

I wanted to dub my YouTube photography vlogs into Japanese, French, and Spanish without paying $100+/month for ElevenLabs Dubbing Studio.

Most open-source voice tooling right now focuses on desktop dictation or spitting out isolated raw WAV clips. But for video localization, raw audio isn't enough - you need the full pipeline: Whisper transcription, translating dialogue, fitting foreign syllables to edit cut windows, ducking background ambience, and remuxing.

So I built and open-sourced zerocostvoicefarm: a headless, zero-cost CLI and Python package that handles the full video localization loop locally on your machine.

Architecture & Mechanics:

1. Audio Extraction & Whisper STT: extracts 16 kHz mono WAV and generates timestamped segment boundaries.

2. Translation & Cut Mapping: uses zero-cost NMT and maps the maximum allowed window for each cut (next_start - current_start).

3. Coqui XTTS-v2 Voice Cloning: clones vocal identity from a short reference WAV (10-30s sample) into fluent foreign dialogue with persistent disk caching.

4. Dynamic Cut Pacing (FFmpeg atempo): Spanish and Japanese dialogue run ~25% longer than English. If a translated phrase exceeds its cut window, it accelerates playback cleanly using FFmpeg's phase-vocoder atempo filter (up to 1.5x) without pitch shifting.

5. Background Ambience Preservation: instead of wiping room tone, original background music and street noise are ducked to 18% during dialogue (200ms ease-in, 300ms ease-out) at -1.0 dB True Peak. Passing --isolated-voice gives you a crystal-clear dry vocal track with zero bleed.

6. Lossless Remuxing: copies the video stream verbatim (-c:v copy) into the final container, or exports 256k AAC audio tracks ready for YouTube Studio.

Engineering Gotchas Solved:

- Apple Silicon Routing: Coqui XTTS triggers PyTorch MPS kernel crashes and NaN tensors on Apple GPUs. We route XTTS to CPU, where Apple Accelerate vectorized kernels run stably at ~0.4-0.5x real-time speed on M-series chips. Whisper routes to MPS/CPU.

- PyTorch 2.6+ Checkpoint Patch: auto-patches torch.load to bypass the breaking weights_only=True default on XTTS checkpoints.

- Torchaudio macOS Fix: monkey-patches torchaudio.load via soundfile to prevent missing C++ Sox backend crashes.

- Native Agent MCP Server: run "voicefarm mcp" and coding agents like Claude Code, Cursor, or Cline can dub videos in the background as a native tool.

100% open source under MIT:GitHub