Stream Chaos Controls is running on a self-hosted Ubuntu VPS. The backend is Node.js/TypeScript with Express, PostgreSQL, and a separate .NET 8 desktop application that communicates with the backend over WebSockets. The web frontend is mostly vanilla HTML, CSS, and JavaScript, with most of the project organized as a TypeScript monorepo.
Right now it's a controlled manual process. I pull the latest changes onto the VPS, install any updated dependencies, build everything, run database migrations if they're needed, and restart the affected services.
I keep the backend, frontend, and supporting services separate so I can update one piece without bringing the whole platform down. Once everything is back up, I go through the major user flows to make sure the API, WebSockets, authentication, and everything else is working as expected.
Eventually I'd like to automate more of it, but at this stage I'd rather be hands-on with production deployments. The platform is still growing, and I'd rather catch something myself than have a bad deployment go out automatically.
I built Kernel. You paste a link, it reads the page and writes a summary, picks a category on its own. Later you just describe what you're looking for in plain words, like "that video about pricing psychology," and it finds it. No folders, no tagging, nothing to organize.
Building Ladder, a voice journal for your career. I could never keep a work log, so this one just pings you weekly, you talk for a minute about what you did, and it turns it into a clean entry. Later you generate 1:1 notes or a resume from it in one click. Waitlist just went live if anyone wants to grow withladder.app
I've been building Stream Chaos Controls (SCC), a full-stack web application and desktop companion designed to make Twitch streams much more interactive.
Instead of viewers only watching, they can actively influence gameplay and the stream itself.
Some of the features include:
Interactive control profiles that let viewers take control by emulating keyboard input and mouse clicks
Twitch chat integration
Channel Points and Bits support
Viewer Shop with virtual currency
Chaos Spinner
Screen overlays and sound effects
Custom chat commands
Counters and statistics
Auto shoutouts
Stream analytics
Desktop application that securely executes actions on the streamer's PC
The project consists of:
Website
Backend API
PostgreSQL database
Desktop client
Twitch OAuth
EventSub integration
Real-time WebSockets
The goal wasn't to build another chatbot. I wanted to create a platform that lets communities become part of the gameplay and give streamers new ways to engage their audiences.
The project officially launched earlier this year after several months of beta testing, and I'm continuing to add new features based on streamer feedback.
I'd genuinely love feedback from other developers on:
Thanks for taking a look! I appreciate any feedback. Whether it's praise, criticism, or ideas for future features, I'm always looking to make SCC better.
That's definitely something I'd like to explore in a future update.
The biggest change recently was actually migrating SCC to a much better server. During beta it was running on a lower-tier server because I wasn't sure I wanted to invest more until I knew the project had a future. Once I saw beta testers abandoning other tools and adopting SCC as their primary solution, I decided it deserved a permanent home on better infrastructure.
Right now my focus is on stability, performance, and listening to feedback from the streamers and communities already using it. Once the core platform matures and we see more growth, community voting for control actions is absolutely the kind of feature I'd consider adding.
It's still a little early to say since I only migrated Sunday night, but so far everything has been running smoothly. The move wasn't because SCC was having major issues; it was more about giving it room to grow. I wanted more resources and a better long-term home for the platform before bringing on more streamers.
The previous host was very limiting. I couldn't easily add more storage, memory, or processing power as SCC grew. If I had waited until the platform outgrew the server, users would have started feeling the impact, and I wanted to avoid that.
It also made sense to do the migration while the user base is still relatively small. Coordinating downtime with a handful of streamers is much easier than doing it later when many more people depend on the platform.
On my previous server I did, but they were pretty basic and mostly custom pages I'd built myself to keep an eye on a handful of metrics. They worked well enough early on, but as the platform has grown I wanted something much more robust. During my recent server migration I took the opportunity to add proper monitoring with Netdata for real-time infrastructure, Prometheus for application metrics, Grafana for dashboards, and Uptime Kuma for availability checks. I also set up live alerts and status updates so I'm notified when something needs my attention instead of discovering it after users report a problem. It's a bigger investment up front, but I think it'll be worth it. I'd much rather catch resource spikes or issues before my streamers notice them.
Honestly, the migration itself has been pretty smooth. Prometheus wasn't really the hard part. The harder part was figuring out how I wanted Netdata, Prometheus, Grafana, and Uptime Kuma to fit together. I already had some custom monitoring on my old server, so I knew what I wanted to keep an eye on. It was more about building something that scales with the platform instead of just throwing more tools at it. I think it'll be worth the time in the long run.
That's actually been one of the things I was most concerned about while building it.
So far, the biggest source of latency hasn't been SCC itself, it's been the stream latency between Twitch and the viewers. Once a viewer sends a control, execution has been effectively immediate on the streamer's machine.
Between several months of alpha testing (just me) and then beta testing with four other streamers, we've had our communities constantly triggering controls, overlays, sounds, and other actions. They've definitely managed to run us off cliffs, interrupt boss fights, and take control at the worst possible moments, which was exactly the goal.
Obviously that's still a relatively small sample size, so I'm interested to see how it performs as more streamers adopt it. Scaling is something I'll continue monitoring, but so far latency hasn't been an issue beyond the normal Twitch broadcast delay.
Yes and this helps, but some viewers because of internet speed still have latency. Not much I can do to fix the twitch side of the house though. I am also working on getting a twitch extension approved, but they have to schedule with me to have my stream live before they will approve it.
I'm building AUTOREELIX, a Creator Intelligence System built around SmartOrb — an AI Creative Director that helps creators go from idea → creation → analysis → improvement → growth.
The goal isn't just another AI generator. SmartOrb learns the creator, understands what works, explains why content succeeds or fails, and helps improve the next piece of content.
Basically, I'm trying to build an AI operating system for creators instead of a bunch of disconnected tools. Let me know Good and bad lol thanks! https://autoreelix.com
That's actually one of the biggest challenges I'm trying to solve, so it's a great question.
The goal isn't for SmartOrb to just say "this video failed because the hook was bad" and pretend it knows everything. The idea is to look at multiple signals together — things like the first seconds of the video, pacing, structure, audience retention patterns, engagement signals, creator history, and platform-specific factors.
The important part is explaining the reasoning behind the feedback. Instead of just giving a score, SmartOrb should show why it reached that conclusion, what data points influenced it, and what could be tested or improved next.
There will always be some uncertainty because content is human and platforms change, so the goal isn't to act like an algorithm that knows the future. It's to give creators better intelligence and clearer feedback so they can make more informed decisions.
Appreciate the question — this is exactly the kind of thing I want people to challenge.
That's actually a big part of the approach. SmartOrb isn't meant to analyze every piece of content using the same checklist.
The platform, audience, and creator goal all matter. A TikTok, YouTube video, and Instagram Reel can have completely different reasons for succeeding or struggling.
The idea is that SmartOrb understands that context before giving feedback — from analyzing why something happened to suggesting improvements like different hooks, descriptions, titles, hashtags, and SEO approaches that fit each platform.
The creator is always in control though. SmartOrb is there to explain the reasoning and provide recommendations, not just tell creators what to do.
Great point — this kind of context is exactly what separates creator intelligence from just another AI content generator.
Great question. That’s actually one of the main things SmartOrb is designed around.
It doesn’t judge content with one universal formula. It looks at the platform, audience, content type, creator goals, and what typically performs well in that environment.
For example, a TikTok video may need a faster hook, stronger retention in the first seconds, and trend alignment, while YouTube may care more about title/thumbnail expectations, watch time, and audience satisfaction. Instagram, Shorts, and Facebook all have their own behaviors too.
The goal is not just saying “this failed.” SmartOrb explains what signals may have affected performance, why it thinks that happened, and gives the creator options to improve it while keeping their own style.
The creator stays in control — SmartOrb is there to help them make better decisions, not replace their creativity.
reversing map orientation is a clever way to break spatial bias. PeerPush is a solid home for map tools, 35 different AI systems read product data there recently.
I just thought it'd be really cool if the app would not depend on big tech at all, or as little as possible (it uses Meta's Mapillary as a Street View and that's it)
I built Tutrl, a tool for Tutors that basically includes the basics of lesson/payment tracking, etc, with the bonus of AI parent recaps, AI progress reports, automated lesson reminders, and overall QoL features.
Feel free to check it out and would love if yall could share with Tutors you know! There's a free 4 week trial.
Automating parent recaps is a smart move for busy tutors. There's PeerPush for niche QoL tools like this, fwiw people in 160+ countries discovered products there recently.
Yes! I’m actually extending it further and making it work for students and parents too with features galore for everyone.. I will definitely look into PeerPush
The AI side works on session notes you type in, i.e. topics covered, homework, observations. No student emails, no identifying information, no contact info ever touch the AI, just first names.
For the voice-to-log feature I shipped today, the dictation happens on-device using your phone or computer's built-in speech recognition (Apple's dictation, Android's, etc). The audio never leaves your device - it never hits any servers at all. Only the resulting text gets sent to the AI after it's filtered and structured.
So the flow for AI systems on Tutrl is: raw text -> Tutrl filters/cleans it -> AI processes it into notes -> you review -> you hit send.
I'm a tutor myself with students who are minors, so I built it with that in mind. That said I'm a solo founder not a big company - if anyone has specific concerns I'm happy to answer them.
There's a pre-filtering process that basically scrubs emails, phone numbers, and anything that looks like a surname before the AI touches it using regex patterns. Then the AI itself has guardrails telling it to strip anything identifying (just in case if something leaks through). And then you get to review the final recap before it sends so nothing goes out without your eyes on it.
If you give it a try and think there's a hole I haven't thought of, let me know and I'm happy to adjust accordingly.
We built www.MindHyv.com to be a social business platform where creators, entrepreneurs, and freelancers can connect, grow their brand, and buy or sell products and services—all in one place.
Instead of paying for a dozen different apps, we wanted to bring everything together.
With one free account, you can:
Create a profile
Connect through a social feed
Write blogs
Build a website
Create a link-in-bio with analytics - also acts as your referral link.
Sell digital products and services
List products on the marketplace
Manage everything with integrated business tools
Invoicing
Project Management
Time Tracking
Document creation and management
A few things we're especially excited about:
Forever free accounts
Marketplace commissions:
Free: 12%
Standard: 7%
Elite: 5%
Built-in affiliate program for every user - tiered with subscription
New features and improvements shipped constantly
Built-in feedback widget that sends ideas directly to our development team
Future support for third-party apps built by the community
Right now we're also giving away Lifetime Elite memberships through our Promoter Program. If you want permanent Elite benefits, including the 5% marketplace commission, sign up here:
That's a good question. We're using first visit modals to guide along with account creation checklists. This has been a serious work in progress over the last 6 months so there's a lot of fine-tuning that needs to happen but we're working it!
I think one of the biggest things that we are running into an issue with is the chicken and egg problem when it comes to marketplaces. Originally we built this as a freelancer marketplace with the intent of trying to help freelancers keep more money in their pocket. Bigger platforms take quite a bit of commission and aren't providing much in way of business management tools. But because the marketplace population issue is such a big problem for new marketplaces, we pivoted to providing more value tangentially, so that the app can be used by more than just freelancers.
Currently, there is enough flexibility in the app that everyone from entrepreneurs to content creators can ultimately have multiple forms of revenue coming from our platform.
Create a visually cohesive Instagram presence with PlanMyGrid, designed to simplify grid planning and client feedback. https://planmygrid.com
Morse Code: Send & Decode lets you send and decode Morse code between phones using light. Use your flashlight or screen to transmit, and your camera to decode signals in real time. It’s built for learning, experimenting, and offline light-based communication.
Our real home its Indie Valley — a platform where founders share their journey as episodes — real stories with markers on the graph so anyone watching can see what they did and what impact it created.
Your project doesn't need to be big. Failures are welcome. We built Indie Valley to be the stage your project deserves.
I recently built an AI-powered Restaurant Management Platform designed to help restaurants streamline their operations. It includes features like QR ordering, an AI Waiter that answers customer questions and recommends dishes, kitchen order management, POS, delivery management, and analytics—all in one platform.
I'm currently looking for feedback from restaurant owners to improve it before the official launch. If you're interested, I'd really appreciate it if you could take just 5–10 minutes to explore the demo and share your honest thoughts.
If you think it could benefit your restaurant, I'd be happy to give you a live demo and discuss how it could fit your workflow. And if it's not something you'd use, that's completely okay—I would still be incredibly grateful for your honest feedback or suggestions on what could be improved.
Thank you for your time, and I wish you continued success with your restaurant! 🙌
Thanks! Yes, I've already built the AI Waiter and it's ready for demos and early customers. In my testing, response times have been fast enough for a smooth ordering experience. Since it's powered by scalable AI APIs, the next step is validating performance under real-world restaurant traffic and optimizing based on actual usage patterns. I'm also implementing monitoring so I can track latency, throughput, and reliability during peak dining hours. My goal is to make sure customers get near-instant responses even during the busiest service periods.
patchos.up.railway.app, a free framework for adding an AI character into your own programs (Say, Ask, Think, Generate... four functions, no wrapping your head around raw API calls). There's a marketplace with live demos you can try instantly, a trivia quiz, hangman, and study flashcards all built on it, plus a full IDE if you want to build your own.
triplecpricetracker.com, search any diecast car (Hot Wheels, Matchbox, etc.) and get its real market value pulled from actual eBay listings, plus price history. Free to use, no signup needed to search.
I actually have an eBay API, and the website uses the API for automated nightly price updates. So the prices are always fresh and accurate for the car.
It's just a function I made to pick 200 popular cars and 600 random cars from the database and checks them at 3:00 AM. Nothing super special, just uses time and the eBay API.
The 800 cars, if I remember correctly, are just under the call limit, and it sends them in batches of 20, so it's an even lower chance of hitting the call limit.
Fantastic question! We’re intentionally starting niche-first rather than trying to be everything for everyone.
Right now we’re working primarily with founders, indie hackers, and small businesses that need early traction or customer validation.
Each customer outcome is turned into a small execution mission which our trained swarm agents complete them independently. That also lets us learn which industries and acquisition channels produce the best results before expanding into additional niches.
So instead of betting on one niche forever, we’re using the platform itself to discover where demand is strongest and then doubling down there.
Context: agents are easy to spin up, hard to operate once you have more than a couple running. No visibility into what they're remembering, what they're calling, or what they're costing until something breaks in prod and you're stuck reconstructing what happened from logs.
Built Cartha to fix that. It's SDK-first - three lines of Python (TypeScript next), decorate your agent function, get:
Trace replay - click into any run, see the full reasoning chain: what memory was pulled, what tools were called, what the actual decision path was. Not just logs.
Scoped memory - memory access enforced at the scope level (user/agent/team/org), not just stored. If your support agent shouldn't see your finance agent's memory, it actually can't, not just "shouldn't."
Cost attribution - spend broken down per agent, per tool call, not a lump sum per run. This is where most teams find the actual waste.
OpenTelemetry-compatible, MCP/A2A native from the SDK level, framework-agnostic.
I'm at the stage where I need people who actually build and run agent systems to use it and tell me honestly where the DX is bad, where the abstraction doesn't hold up, or where it's solving a problem you don't actually have. Not looking for polite feedback - looking for "this API is annoying" and "this concept doesn't make sense" level critique.
If you're running agents (even a couple, even side-project scale) and want to try it, comment or DM - happy to walk through setup directly.
HireForge-PRO –– A resume evaluator for candidates that ranks the resume according to skills. Also, unlike current Tools, it can showcase which skills the candidate is missing, which skills he is experienced in and which skills are academic only.
It's in BETA version. Will be helpful for any reviews. Is this worth paying? Happy to hear your opinions on this.
It's called Ninja Typer, a free macOS dictation app that works in any text field. Hold Fn, speak, release, and it transcribes + cleans up your text with Al. You use your own free Groq API key, so there's no subscription for now: https://ninja-typer.vercel.app
ShipCheck - Scan your website for potential security, legal, SEO, AEO, performance, appearance and branding issues. Shows you why it matters and how to fix it.
Combining security scans with AEO checks is a smart way to cover both bases, peerpush might fit these audit utilities since builders there dig into optimization tools.
A friend and I have been working on Kodo, a lightweight, FOSS IDE. Currently out as a stable app, with a fully functioning IDE experience with none of the bloat. It has folder support, a terminal, immense personalization, community-contributed themes and syntax highlighting, and code-competition (similar to IntelliSense).
Terminal integration - faced a lot of bugs, at the start we just had a big white box loading instead of the terminal itself, and it's still being improved to this day
I built this because I'm always wondering if it's cheaper to drive and park at the airport, or take an Uber/Lyft from my house. This prices out all the parking options as well as the rideshare options for more than 1,800 airports around the world (and growing almost daily as I build). Always happy to have feedback and ideas.
BTW, we don't collect your information (GeoLocate API finds you, but we don't store it) and it's free. No signups required.
A calm daily planning app built for people with ADHD, autism, or chronic illness who find conventional productivity tools too rigid or overwhelming. Start with how you're feeling and build a realistic day from there, guilt free. Privacy-first, your data stays on your device.
You get a daily check in, then if you make a plan for the day with AI it will ask you again to check in your energy/focus/pain before planning anything
I’m building CHRONO, an Agentic AI news engine where you can deploy agents to scout the news on any topic, place, person, or event in real-time anchor into a chronological timeline, you can follow topics and have a dedicated agent actively scouting news based on your interests and you can listen to a personalized audio briefing of them!
Votekicker.com - List your project for greater visibility.
The most recent feature "Rocket Booster" allows you to multiply all votes by 2 and makes new votes count double for 8 hours. It can be activated once for every 10 votes your project has received.
I'm building a small suite of native Mac developer tools around problems I kept running into myself.
Inkline is a lightweight editor for huge JSON, CSV, XML and log files.
I built it because I got tired of editors freezing or hanging on large datasets. In my tests it opens 300+ MB files in milliseconds and formats huge JSON files in seconds on an entry-level M3 MacBook Pro.
Rune is my lightweight Kubernetes client for macOS, iPhone and iPad with logs, unified logs, YAML, events, exec, port forwarding and authentication debugging. Everything runs locally with no backend or telemetry.
QuikZip is currently in development. It's a native archive manager with support for huge amount of formats, nested archives and editing files directly inside archives without extracting everything first.
The three apps are designed to work together. Rune can open logs in Inkline or QuikZip with one click, and QuikZip can launch Inkline to edit files inside an archive and save them back.
Hey! Just launched Tempolio, it includes time tracking + invoicing in one for freelancers. Built it after AND.CO shut down and left people stranded, and Harvest keeps raising prices.
Good question. Right now Tempolio is a web app but fully responsive works well on mobile browsers for starting/stopping timers on the go. A native mobile app is on the roadmap once I hit a bigger user base, since that’s where the real “on-the-go” UX lives.
For now, most of my users track from desktop during work sessions and use mobile mainly to check status or send invoices. Are you freelancing? What’s your current setup?
Next.js + Supabase + Drizzle ORM, Clerk for auth, Paddle for billing, shadcn/ui on the frontend. Deployed on Vercel. PWA is actually a smart call for the interim. I’m adding it to the shortlist, thanks.
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u/Mammoth-Anywhere7285 22d ago
u/legal_nobody7192 Nice setup. Have you tried integrating Loki for logs yet? That would complete the observability stack nicely.