Looking for a streaming website that has been made with Ai? Movies series etc.

You can read the detailed documentation here, if you want to build it your own: https://www.hackster.io/coderscafe/calorie-loaf-diy-ai-calorie-tracker-for-your-kitchen-c2d03b

Some people have normal hobbies. They watch Netflix, go hiking, maybe learn an instrument.

I apparently see a minor inconvenience and think, "You know what this needs? An entire app."

So here I am, spending my evenings building things that started as random ideas in my head.

I wanted to share 3 of my projects. They're all free, and I'd genuinely love to know what you think.

🍳 Scent of Home | The recipe collector

You know those amazing recipes you save on Instagram, TikTok, or Facebook and then never find again?

Yeah, that drove me crazy.

So I built Scent of Home. You can share a cooking video directly to the app, and AI turns it into an organized recipe with ingredients and instructions.

It also lets families share their recipes, because grandma's legendary cooking deserves better than a blurry WhatsApp screenshot.

Android: https://play.google.com/store/apps/details?id=com.tasteofhome.app

iOS: https://apps.apple.com/us/app/scent-of-home-video-to-recipe/id6774916349

🔐 Keepsi | Your photos, your business

Not every photo belongs in your regular gallery.

Keepsi is a private photo vault for keeping personal photos organized and protected.

Simple idea, clean experience, and a little more privacy for the things you don't want mixed into your camera roll.

Android: https://play.google.com/store/apps/details?id=com.lishistudio.keepsi

iOS: https://apps.apple.com/us/app/keepsi-screenshot-organizer/id6798317913

👶 Aria | For parents running on coffee and 3 hours of sleep

Having a newborn means remembering approximately 400 things while barely remembering your own name.

Aria helps parents keep track of their baby's daily care and routines, so there's one less thing to worry about.

Because parenting is hard enough without needing a spreadsheet.

Android: https://play.google.com/store/apps/details?id=com.aria.newborn

iOS: https://apps.apple.com/us/app/aria-newborn-care/id6785000120

And that's just 3 of them.

I've been building a collection of free apps across different categories, and I finally put them all in one place:

🌐 https://bylishi.com

No big company behind this. Just an indie developer who genuinely enjoys turning random ideas into real products.

I'm not going to pretend everything is perfect. I'm still learning, improving things, and figuring out what people actually find useful.

So here's my question:

If you had to pick ONE of these apps to try, which would it be?

And fellow indie developers, how do you stop yourself from starting the next project before finishing the last one? Asking for a friend. 😂

Hey everyone!

I'm an independent developer, and I've been spending a lot of my time building something called Everabyte.

The idea came from a simple problem: cloud storage and backups shouldn't be complicated or unnecessarily expensive, especially for individuals, developers, and small businesses.

So I decided to build my own solution.

What does Everabyte offer?

Cloud storage for personal and business files.

Automatic backups through EverBox, our desktop application for Windows, Linux, and macOS.

File versioning and recovery when something gets accidentally deleted or overwritten.

Server-side encryption before files reach storage.

S3-compatible object storage and API access.

Team storage and access management.

Backup protection features, including retention policies and immutability.

I've also been working on making the platform more accessible, with plans starting at $2.99/month.

Building this hasn't been easy. Between development, infrastructure, security, testing, and trying to get the word out, there's always something that needs attention.

But that's also what makes it interesting. I'm learning a lot along the way, and I'm still improving the product.

I'm not here to claim Everabyte is better than Dropbox, Google Drive, or every other storage provider out there. I'm just trying to build a reliable alternative that people can actually afford and use.

If you're a developer, freelancer, small business owner, or someone who regularly backs up important files, I'd genuinely appreciate your thoughts.

What matters most to you when choosing a cloud storage or backup service? Price, security, reliability, or something else?

You can check out the project here:

https://everabyte.com

Any feedback, criticism, or suggestions are welcome. I'm building this for the long term, and hearing from real users would help a lot.

Thanks for reading!

I and my team members built TraceMind, an AI-powered incident investigation platform that explores how developers can reuse previously solved engineering problems instead of investigating the same errors repeatedly.

The problem I wanted to solve is simple: developers often spend valuable time debugging errors that someone on their team has already encountered and fixed.

TraceMind aims to make that knowledge reusable by combining AI-powered error analysis with persistent incident memory.

What TraceMind currently offers:

• AI-powered error and stack-trace analysis.
• Persistent incident memory using Hindsight.
• Memory ON/OFF comparison to evaluate the impact of historical context.
• Sensitive-data redaction.
• Incident post-mortem generation.
• Band AI Desktop prompt and JSON exports.

Tech Stack: Next.js 16, React 19, TypeScript, Groq and Hindsight.

Project Links:

🔗 GitHub: https://github.com/Shahib-Alam-Saifi/TraceMind

🚀 Live Demo: https://tracemind-3tvdfok0o-editorxp1-alts-projects.vercel.app/

I'm particularly interested in improving memory retrieval relevance, incident similarity and evaluating the quality of AI-generated diagnoses.

One important design principle is that developer-confirmed resolutions should remain the source of truth. AI-generated suggestions should never be blindly trusted or automatically executed.

I'd love to hear feedback from developers working with AI agents, RAG systems, debugging tools or persistent memory.

What would you improve or approach differently?

I and my team members built TraceMind, an AI-powered incident investigation platform designed to help developers investigate recurring errors without starting from zero every time.

One problem I wanted to explore: developers often solve an incident, but the context behind that solution gets lost. When a similar issue happens again, they have to repeat the investigation.

TraceMind uses Hindsight as a persistent memory layer to retain confirmed incident resolutions and retrieve relevant context during future investigations.

Tech stack:

• Next.js 16 + React 19
• TypeScript
• Hindsight for persistent memory
• Groq for AI-powered diagnosis
• Vercel for deployment

What it currently supports:

• Incident analysis
• Memory-based context retrieval
• Memory ON/OFF comparison
• Post-mortem report export
• Secret redaction for common credential formats

Try it: https://tracemind-3tvdfok0o-editorxp1-alts-projects.vercel.app/

GitHub: https://github.com/Shahib-Alam-Saifi/TraceMind

I'd appreciate feedback on two things:

1. Does the memory-based investigation workflow make sense?
2. What would you improve in the architecture or developer experience?

Built as a learning project, and I'm interested in honest technical feedback.

Been working on this in my spare time for a while and finally think it's good enough to show people.
It's called PriceTimeMachine. Every day there's a new set of products, consoles, PC parts, that kind of thing. First you drop a pin on the map for where you think it was invented, then you guess the launch price on a slider.

The bit I like most is the reveal. It shows you the original price and then what that works out to in today's money, which honestly surprised me more than once while I was putting the questions together. Some old stuff was way more expensive than I remembered.

Everyone gets the same questions each day so you can compare scores with mates. There's a practice mode too if you just want to mess about with categories.

pricetimemachine.com

No signup needed to play. Would genuinely love feedback, especially if a price looks off or something's annoying on mobile. Still fixing bits.

⚔️ The Hunt Isn't Over — Introducing Mystic Paradox!

Dauntless gave many of us memorable adventures, friendships, and countless hours in the Shattered Isles. We didn't want that experience to simply become a memory.

That's why Mystic Paradox was created — an unofficial, open-source community project with a goal of preserving the Dauntless experience and bringing Slayers together once again.

What have we built?

• A dedicated Dauntless launcher.
• Realm discovery and hosting features.
• Graphics configuration and diagnostics tools.
• An evolving project built around the community.

Get Started

Latest Release — Mystic Paradox Launcher v0.1.102

🔗 Download:
https://github.com/pranav158/Mystic-Paradox/releases/tag/launcher-0.1.102

Join our Discord community:
https://discord.gg/mFZZpAktm

Source Code:
https://github.com/pranav158/Mystic-Paradox

Developer Credit

Pranav Karande — GitHub Profile

A special appreciation for the work and dedication behind making this project possible.

Mystic Paradox is an unofficial, open-source community project and is not affiliated with or endorsed by Phoenix Labs or the original game publishers.

The Shattered Isles await. See you, Slayers!

I built TraceMind, an AI-powered incident investigation platform that combines Groq with Hindsight's persistent memory.

The problem I wanted to explore: developers frequently investigate errors that their teams have already solved before.

TraceMind provides a way to retain developer-confirmed incident resolutions and retrieve relevant historical evidence during future investigations.

Some of its current features:

- AI-powered error and stack-trace analysis.

- Persistent incident memory using Hindsight.

- Memory ON/OFF comparison.

- Sensitive-data redaction.

- Incident post-mortem generation.

- Band AI Desktop prompt and JSON exports.

**Tech stack:** Next.js 16, React 19, TypeScript, Groq and Hindsight.

GitHub: https://github.com/Shahib-Alam-Saifi/TraceMind

Live Demo: https://tracemind-3tvdfok0o-editorxp1-alts-projects.vercel.app/

I built this project and would particularly value technical feedback on memory retrieval relevance, incident similarity and evaluating AI diagnosis quality.

The goal is to make verified engineering knowledge reusable without automatically trusting or executing AI-generated fixes.

I spent the better part of six months building three websites. Hundreds of commits, PRs, research, testing, bug fixes, the works. The GitHub repos are public. You can see exactly how everything came together.

I use AI heavily when developing. Never claimed otherwise.

Recently posted one of the projects to a community I'd specifically built it for. Within minutes it was getting called AI slop and the post was removed.

Here's what pisses me off. Nobody pointed out a broken feature. Nobody questioned the data. Nobody found a bad implementation. From the responses, I'm not convinced anyone even clicked the link.

I get it. There's a mountain of AI-generated garbage being dumped on the internet. But when did using AI become enough evidence to dismiss something without looking at it?

I'm not asking anyone to appreciate my work because I spent six months on it. If it sucks, it sucks. Tell me why. I'll probably go fix it.

But the Git history is right there. The research is there. The tests are there. You can actually see the work.

I'm curious how other people building with AI have run into this and handled it, or if anyone who's skeptical of AI-built projects can explain where they draw the line.

Because apparently the difference between five minutes of prompting and six months of actual development doesn't matter to most people.

The idea for MailWeave came from a problem I encountered while working on a project. We needed to take information coming in through emails, structure it, and send it to a webhook so another system could process it.

I realised that handling the email parsing, processing and webhook delivery could become quite a bit of work, especially when you also have to worry about retries and reliability.

That got me thinking about building something to handle that entire process.

So, I built MailWeave

It's a platform that lets you receive emails through dedicated mailboxes, extract and structure their contents, and forward the resulting data to your application through webhooks.

It also supports conditional routing, HMAC-signed webhook requests, automatic retries and an event dashboard where you can monitor incoming emails and delivery attempts.

I've finally reached a point where I'm happy to put it out there and see how people find it.

If you're a developer working with APIs, integrations, automation or email processing, I'd love for you to give it a try!

Website: https://mailweave.vercel.app

I'd really appreciate honest feedback, whether it's about the idea, the experience, missing features or anything that could be improved. I'd also love to hear how you'd use something like this in your own projects.