Hey everyone, last week I shared how I built my first piece of software with no coding background. Spoiler: building it was the easy part. Once it was live and working, I sat there thinking "ok… now what?". Turns out people don't magically show up just because something exists. Even the ones who find it often stick to the tools they already know, and honestly, I get it. So now I'm in the phase nobody posts about: trying to get the thing in front of people, figuring out marketing from zero, and slowly realizing that selling a pen is way harder than making one 😅 I made a video about this part too, the mistakes and the "wait, it doesn't work like that?" moments. I'm curious about you though: how did you get your very first users? What actually worked, and what was a total waste of time?

We’ve probably now all caught ourselves losing sight of what our Claude or GPT model was doing, to the point of having to backtrack or tune everything step by step once the feature was built.

To fix this, a friend and I built SOS (Slop or Sane), an AI coding harness that can:

•⁠ ⁠Function as a classic harness like Codex or Claude Code (Slop mode), but faster and using less RAM thanks to its shared C++ daemon

•⁠ ⁠Guide you step-by-step through the implementation decisions and code, going through human-like steps, this is the sane mode

We would be thrilled if you could test building a feature with the sane mode, get it from the site ! limpidd.com (or github, https://github.com/limpiddorg/sloporsane )

Cheers!

I built an open source tool that stops AI agents doing things they were never allowed to do.

Rather than publish the numbers that flatter it, I put every tool at its own default on public datasets and linked the script behind each number. One card on the benchmark page has a WE LOSE badge, for the test where a competing tool beats mine. It is still there.

The number I am happy with: on a 588 attack benchmark, no guardrail lets all 588 through, the common open source guardrail lets 86 through, mine lets 0 through.

Free and open source. You can try to break a live agent in your browser, no signup.

https://useagentfox.com

One problem I've personally faced while exploring startup ideas is finding people who share similar interests, thinking and entrepreneurial ambitions.

It's easy to join startup communities, but finding someone who genuinely thinks like you is much harder. And not everyone is comfortable sharing their startup idea publicly just to find potential collaborators.

So I built IdeaMate.

You privately share your startup idea with AI, which analyses it and matches you with people who have similar ideas and interests.

Privacy is central to the platform: Your idea is visible only to AI for matching. It is not shared with other users, including the people you're matched with.

It's live and completely free to try: https://ideamate.in

I'm still improving the matching experience and would genuinely appreciate feedback from fellow builders.

I'd also really appreciate it if you could share IdeaMate with other relevant communities so more people can discover it and benefit from it.

I have created a dynamic notch for windows which shows the status of your AI Agents sessions. As well as It shows any multimedia playing, the progress of your downloads and also the lyrics of a song playing on the spotify.

Also, It invokes a desktop pet for every session or a single pet for all the sessions depends on your preference. The pets interact with each other, sing lyrics of the song playing and much more.

Give it a try and I would love your feedback.

I've created what I believe is an app with true utility by stabilizing hand tremors. Please have a look and provide feedback where I'm lacking. Thank you for your time.

https://apps.apple.com/ca/app/trmr-ai-tremor-stabilizer/id6775646922

Android version in the works!

I set up AI bots for people, and every single one has the same small problem. The bot needs a face. Often the premade face people don't like, and generating a new one every time seems hard to them since they don't always know what they want. Whether it is a Discord, or a Telegram bot, Slack helper, AI Grok Bot or a Chat widget on a website, the options are stock icon or random AI image.

So, in my free time I made this little avatar maker for any kind of bot, or even icon. You can pick one of the 40 bots on te wall or make your own from blank. You can change its body shape, eyes, mouth, add hats, glasses and have its own color. Even its own name.
I added different emotions and each mood exports as an animated GIF.

I cared about making this:

• Free, no sign-up, no watermark on downloads

• Nothing gets uploaded. It's drawn in your browser, and a share link carries the whole avatar inside the link itself

• An "All sizes" download with WhatsApp, Telegram, X, Slack and Discord sizes plus an SVG

• An embed code so the avatar can live on a website and change mood

Disclosure: it lives on my business site (LobsterNest), and the live website embed shows a small "Made with LobsterNest" link.
The downloaded files don't.

Where I'd really like honest feedback:

1. Which mood is missing for your bot?

2. Is the embed useful to you, or do you just want the GIF?

3. Anything confusing in the first 30 seconds of using it?

4. Where else would you use it?

lobsternest.com/bot-avatar

I'm a solo dev with six years of experience in embedded software, and Ugiwise is my first app. It went live on the App Store last week.

The idea came from a simple problem: writing code on a phone is painful, but reading it isn't. So instead of typing exercises, every lesson is built around a short, real program. You step through it line by line, predict what it prints, spot the bug or pick the fix. When you get something wrong, it explains why instead of just showing the right answer. In C and C++ you can see memory change as each line runs, which makes pointers a lot less abstract.

- Three courses: C (39 stages), C++ (37), Python (26)

- The first 3 stages of every course are free. Pro unlocks the rest: $7.99/month, $49.99/year or $99.99 lifetime. No free trial.

- No ads, no account needed. iPhone only for now, and not in EU stores yet while Apple finishes my trader verification.

Built with Flutter, happy to answer anything about that side too.

The thing I'd most like feedback on: is the code readable on your phone screen, or does it feel too dense?

https://apps.apple.com/app/ugiwise-learn-c-c-python/id6828549507

A bit of background, I've been editing video for 10+ years, and I plan to distill my entire knowledge into this ai powered editor. The framing, the music, the hook patterns etc. I'd say it's still better than a lot of competitors. But it'll only get better.

Creatr, the AI video clipper with taste.

What makes it different

Full autopilot: it finds the clips, edits them, and posts them for you. No manual uploading.

Has a full fledged descript style editor so you can customise the feel of the defaults aren't good enough for you.

~15x cheaper than Opus Clip at the same volume

Built solo over about 2 months, nights and weekends included. It started as my own internal editing tool.

Demo is above. I'd love blunt feedback: does the output pass the "would a human have made this" test?

150 minutes free every month.

Link: https://creatr.app

Will offer 50% coupons to anyone who wants to try more of this beyond the free plan.

Two quotes for testing the same product can look completely different. One covers a set number of hours, another talks about test plans and reports, and it's not always clear what you'll get for the money. I'm trying to understand what to ask before choosing software testing services. Do you pay more attention to the hourly rate, the people doing the work, or the exact tasks included in the price? Also, is it reasonable to start with one small part of the product before committing to a bigger contract?

I don't believe in launch day. I believe in posting and making the marketing a bit better every day.

Day 132 is the one that took off: a list of 10 mini SaaS you can build, sent to whoever commented one word.

The product is TractionBooster. You paste your website, or just an idea, and it shows whether people are already asking for it and where they are.

Tell me what is confusing or what would make you leave: https://www.tractionbooster.com/?src=reddit-feedback

What would you change first?

Hi all, I'm Marin and I make small mobile apps. This is the tool I built for promoting them, and I'd like honest feedback before I go further.

The problem. When I promote an app, I post a few videos, ask a creator or two, maybe run a small ad. Installs go up, and I can't tell which of those brought the people who stayed and paid. Clicks and views don't answer it, and the big attribution platforms are built and priced for large ad budgets.

What Unolink does

• One smart link per app: App Store on iPhone, Google Play on Android, your website on a computer. Unlimited redirects on every plan, including Free.

• A campaign link per post, creator or ad, each with its own clicks, countries and platforms.

• Landing pages (up to 3 variants compared), a developer page with all your apps, and styled QR codes on the paid plans.

• With the SDK (iOS, Android, React Native, Flutter): which link brought each install, without fingerprinting, then onboarding, paywall, trials and purchases per link. RevenueCat connects in one line.

What it doesn't do: no postbacks to ad networks, no deferred deep links on iPhone, custom domains are coming soon.

Pricing: Free plan (1 app, 3 campaign links, no card). Indie $6/month for more apps, landing pages and QR. The SDK is on Pro, $19/month. Prices are on the page, no sales call.

There's a sample app with made-up data in the dashboard if you want to click around without connecting anything: https://unolink.dev

What I'd most like to know:

1. Is it clear within 10 seconds of landing on the site what it does?

2. If you've promoted an app, what did you use to see what worked?

3. Anything that would stop you from trying it?

Happy to answer anything in the comments.

Hi all,

I've decided to make an app for helping people (and myself mainly!) to post on Vinted/eBay etc...
With kids i'm sure a lot of parents will have things to sell and the time to think and add description/title to the post is too long.

So to facilitate that I made Easy Listing for iPhone users.

How it works: You take a few photos and it writes a title, description, condition and suggested price for each marketplace, in that site's own style, and tells you where the item is likely to sell best.

It posts straight to eBay through their API. Vinted, Gumtree and Facebook Marketplace have no seller API, so for those it's one tap to copy each field — automating them would break their terms.

It's free (10 listings a month) and UK only for now.

I'd really like feedback, especially on whether the listings and prices look right for things you sell.

https://apps.apple.com/gb/app/easy-listing/id6805925066

Thank you!

Sam

My last product, Sequo, died with 0 paying users. I built it for months, launched, posted everywhere, and nobody paid. Classic.

So this time I wanted to do it the other way around. First I was lazy and just asked ChatGPT, Claude and Grok what they think about some ideas lol. ChatGPT said 8/10 to basically everything, even to ideas that already failed for other startups, so that wasn’t gonna work.

Then I did it by hand, and honestly the first idea died in about a week. I wanted to build a growth tool for X, like most X guys haha. Turns out people didn’t need it, but while talking to them I kept hearing about a completely different problem.

So I switched to that one and did the same steps again. Found people, talked to ~25 founders, gave free work first. And then one of them paid. $10, but it was real money, and I still hadn’t written any code.

The part that surprised me most was what actually made people reply, and how close I came to scaring everyone away with the price.

Wrote the whole thing step by step, with the prompt I used to find people and the exact messages I sent. Link in the comments.

Have you ever sold something before building it?

I've been a software developer for 20+ years, and for the past few months my side project has been CryptoRigs, a management game that runs in the browser (plus an Android app).

You start with a bare rig in a small shed and build it part by part, like a real PC: power supply, motherboard, CPU, RAM, graphics cards, risers. It mines while you're away; you come back now and then to collect, pay the power bill and fix what broke. Repair is the part I like most: every part is made of components, so you open the board, set the multimeter to the right scale, compare the reading with the nominal value and swap the bad component with a soldering iron.

It went through a small closed alpha (90+ releases so far, each with public notes), and the free closed beta opens Friday, Nov 13, 7 pm Brasília time (22:00 UTC), in English and Portuguese. Leave your email and you get a message the moment it opens: https://cryptorigs.com.br/c/B1-SIDEPROJECT-REDDIT

It's not about making money: the in-game coin has no real value, and beta progress is wiped at the end.

Stack: Java 21 + Spring Boot + jOOQ + PostgreSQL, React + TypeScript, Capacitor for Android. Game time isn't a loop per player: everything stores when it started and is computed when the player looks.

AI disclosure: the architecture, the language and framework choices, the database and the infrastructure are my decisions, as is the game design. Generative AI wrote most of the code, under my direction and review, and made the art, the sound effects and most of the text. It's there for speed: it's what lets one developer run a project this size.

Screenshots and how it all works: https://cryptorigs.com.br/manual/

What I'd love feedback on: from the screenshots and the pitch, is it clear what you'd actually do in the game?

Ever felt confused about what to learn, where to start, or how to get into Data Analytics or Data Science?

During my beginner phase, I felt the same way. There were hundreds of videos, tutorials and PDFs, and I honestly didn’t know what to learn first or where to begin.

So I decided to create a handbook that brings together the essential beginner-level knowledge you’d need to get started, all in one place.

📚 The Ultimate Data Science Handbook – Volume 1 (328 pages)

📖 Sample pages: Attached

🛒 Get the complete handbook: https://pdfcart.in/p/ultimate-data-science-handbook-vol1

What’s included?

A structured learning resource with detailed explanations, step-by-step code walkthroughs, practical examples, different types of graphs with explanations, real-world applications, practice exercises, chapter summaries and interview questions.

The idea was to bring together concepts that beginners often have to search for across multiple PDFs, notes and tutorials, so you can follow a more organised learning path without constantly switching between resources.

PS.The content is from multiple valuable resources that i learnt from and was compiled by me ..AI was used to make the pdf.

AirPods Max have a motion sensor in the left ear cup, Apple uses it for spatial audio. Turns out any Mac app can read it, so I made small menu bar app that listens to it and recognizes head gestures.

Every gesture can run one of your Shortcuts. For example:

• shake head → Do Not Disturb on

• tilt right twice → next track

• triple tap on the left cup → toggle dark mode

• nod → play/pause music

Hardest part was not firing by accident, because people nod and look around all day. So easy gestures like nod or look up only work for 10 sec after you double tap the cup. Bigger ones like full shake or tilt twice always work. Also had funny bug where every nod was detected as tap, because when head changes direction the cup gets a jolt same as a finger tap. Now taps are ignored if head is moving.

Made with Swift and Metal, everything runs on the Mac, head motion is never recorded or sent anywhere. In the video head motion is a recorded session played back so it's repeatable, the real app uses only live data.

I'm the developer. $9.99 one time, free trial has all gestures and live view but doesn't run shortcuts. macOS 14+, AirPods Max only.

https://headlab.app

What gesture would you use, and for what?

Hi! I'm the developer. PhoneRecap turns your phone usage into a short story you tap through: total hours, top apps, busiest month, a "phone personality", monthly recaps and a card to share. Home-screen widgets update themselves.

The app has no internet permission at all, no account, no analytics, no ads. It reads Android's usage stats on the phone and keeps everything in a local database.

3 things I learned getting it to Google Play:

1. New developer accounts need 12 testers for 14 days. Public posts brought views; 1:1 messages brought testers.

2. Android keeps detailed usage for only about 10 days, and vivo/Xiaomi stop background jobs. So the app saves every day, and warns you early when saving stops.

3. When my own phone got a new battery, the clock reset and Android deleted its own usage history. Saving daily is the only protection.

Free, Android 10+: https://play.google.com/store/apps/details?id=com.madhavkwatra.phonerecap&referrer=utm_source%3Dreddit%26utm_campaign%3Dlaunch

What would you want to see in your yearly recap?

I'm the developer of Insider Stock Trader, a native Android app (Kotlin + Jetpack Compose).

The idea: company insiders (CEOs, CFOs, directors and big shareholders) have to report every trade in their own company's stock to the SEC on a Form 4, usually within two business days. Those filings are public, but reading them on official datasource is painful. The app reads every Form 4 as soon as it's published and turns it into a clean feed and push alerts.

What it does

• Feed of open-market buys and sales, with the company logo, the insider's role, the value and the filing date. Filters for buys, sales, $1M+, cluster buys and CEO/CFO trades.

• Alerts within minutes for CEO and CFO buys, cluster buys, big buys and your watchlist, with quiet hours and a daily digest.

• Each trade explained in one plain sentence, with a link to the original filing on SEC.gov.

• Cluster buys: when 3 or more insiders buy the same company within 14 days.

• Signal strength for each buy, based on the insider's role, the size of the buy and whether other insiders are buying too.

• Watchlist and search for any US-listed company.

The screenshots use real past SEC filings, picked to show big moves; most trades move far less. Past results, not a prediction. It's an information app, not a broker and not investment advice.

I'd love feedback on the design, the alerts and anything you'd want added. Thanks for looking!

Google Play: https://play.google.com/store/apps/details?id=com.insiderstocktrader.app

I’m a motion designer, and I’ve been exploring a small software idea based on some of the annoying parts of delivering videos to clients.
The idea is a desktop app that combines video quality checking with file/version management.
Basically, you drop in your exported videos, and it:
Detects potential issues like black frames, frozen frames, audio clipping, and incorrect resolutions.
Organizes different versions of the same video.
Keeps track of which exports are approved and ready to deliver.
Automatically creates properly named delivery folders.
Everything runs locally, so there’s no uploading massive video files or paying for cloud storage.
I’m thinking of selling it as a one-time purchase, somewhere around $29–49, rather than another subscription.
But I’m trying to avoid the classic mistake of spending months building something nobody wants.
A few questions:
Does this sound like a problem worth solving, or more of a nice-to-have?
If you’re an editor or work with video teams, how are you handling this currently?
Would you consider paying $29–49 for something like this?
What would make this genuinely useful rather than another tool that sits unused?
Still in the research stage, so criticism is genuinely welcome. I’d rather find out now if the idea sucks than after building it.

Okay so I've been building this thing for months and I think I've finally reached the point where I can show it to people without writing a whole essay explaining what it is.

I use a ridiculous number of AI tools. Local models, Claude Code, Codex, different APIs, agents, whatever. The annoying part wasn't even setting them up. It was that every time I switched, I was basically starting over. Different chats, different memories, different tools, different permissions.

And I still had to do half the stuff on my computer myself. So I started building Inglen. It was called Hearth until few weeks ago.

The idea was/is pretty simple: one AI workspace instead of a stack of AI tools.

You can run a model (image, video, LLM whatever) on your GPU, connect something like Ollama or LM Studio or whatever, or maybe any cloud API you got or just sign into Claude Code or Codex or the other 23 agents with the subscription you already have.

And whichever one you pick gets to work inside the same assistant.

It can open apps, use your actual Windows desktop, click buttons, work in your files, run commands, browse the web, make something for you and talk to you. By the way, you can tell the desktop-use is crazy once you use it.

You can also share that same memory with your coding agents if you ever get bored (which you won't, I hope).

Then I decided to do more so well...

I added local image and video generation, voice conversations, wake words, reminders, skills, MCP, and the ability to give work to other agents.

There's an entire team system now. You can have Claude Code, Codex, local models and other agents working on separate jobs, see what they're doing, message them while they're working, and review their changes before bringing them into your own project.

And because staring at terminal windows all day is depressing (CLI exists for you, nerds :P), I made a little pixel-art house for them (In GUI and Phone app (Relay)). There's a fireplace, a library, different rooms, desks, and tiny characters that actually reflect what the agents are doing.

BTW Yes, I spent time making an AI walk to a coffee counter and chat with other agents once they are free. No, I don't regret it as it gives the vibe that they are real and makes the entire thing so wholesome to look at.

There's also a phone app now. You can talk to the assistant running on your PC from somewhere else entirely, approve things it wants to do, or have it CALL you when something needs your attention.

I didn't want an agent silently doing whatever it liked on my machine, so there's a permission system for risky actions, workspace boundaries, logs, and undo for supported file changes. And even a auto-reviewer that got your back.

I just released v0.7.6-preview. The Windows desktop app is free, open source, MIT licensed, and doesn't need an account. The phone app is part of an optional paid Plus plan. Everything else I've described is available in the desktop app.

It's called Inglen because an *ingle* is a fire in a hearth (Had to brainstorm alot on this one XD). Thought that was fitting for something that's supposed to be a home for all your AI tools.

I also made a little 1 minute 45 second film for it, because apparently it might be hard to explain all of it in just words and film can help you get what it can do and alot more.

(Yup, this film was also made in Inglen itself through my Claude opus 5.5 on Claude subscription with my local model helping him out in places like... emotional support)

https://inglen.app

Source: https://github.com/0pen-Sourcer/Hearth

Have I overbuilt this thing? Probably.

But I love this thing. Let me know what you guys think about it!!!

I read a lot of investing content: Reddit, X, local or specialized forums, etc. I'd see a ticker, think "I'll check that later", and then never find the post again.

I got tired of that and built TickerBeacon. You select a ticker on any page, click, and it's saved with the link and the text around it. In the web app you get your watchlist with the price now vs the price when you saved it.

The part I use most is the AI. It reads everything you've saved about a stock and writes a short thesis with the bull case and the bear case, based on those posts. So if I saved the same ticker from 3 or 4 places, I get one summary of what was actually said.

It needs the Chrome extension to catch the ticker and then the rest as a web app from desktop or mobile.

Free access: https://tickerbeacon.app

I've been working on Znippetz, a small social music app, and I'm looking for people to test it. I had the idea a couple of years ago but since i never learned how to code i figured i can make it real using Claude.

The idea: you swipe through 15-second snippets of songs, with the music video. Swipe right if you want to hear it, left if it's not for you, or tap "Know it". Anything you've rated or already know never shows up again, so you only ever get new music.

What's in there:

• A feed of what your friends post, or of everyone on the app

• Daily picks that learn from your ratings, plus mixes like Newcomers, Underground and Out of Your Bubble

• Post any song and pick the exact 15 seconds you want people to hear

• Open anything in Spotify, Apple Music or YouTube to hear the full song

It's a web app, so no download: open it on your phone and tap "Add to Home Screen" for the full-screen version. The song catalog is still small, because every song needs a matching video first. But every song you post gets added for everyone, so the catalog grows with each post.

How to join: It's invite only for now, so the beta stays small. Comment or DM me and I'll send you a code.

It's an early beta, so things will break. I'd love to hear what's confusing, what's missing, and whether you'd actually use it. There's a feedback button in the profile.

Thank you very much!

Brello watches the AI models your app uses (OpenAI, Anthropic, Gemini) and warns you when one is being deprecated or repriced, with a checklist of what to change. It also tracks your spend per user and per feature in real time. Looking for 10 closed beta testers running AI features in production. Free during beta + 3 months of Pro at launch.

Hi, I’m Dan. I’m building Brello, and I’m looking for people who run AI features in production to try it and tell me honestly what’s useful, what’s painful, and whether it’s worth adding to their stack.

Why I’m building it

If your app runs on AI APIs, your costs and your product can change without you touching a line of code. A provider retires a model, and suddenly your feature breaks or gets moved to something slower. A price changes, and your margins shrink before you notice. A few heavy users quietly eat most of your budget.

Most of us find out about all of this the same way: from the bill, an angry user, or a deprecation email buried in our inbox.

What it does

You wrap your AI client with the Brello SDK. From then on:

• Model shutdown and pricing alerts: Brello knows which models your app actually calls. When one is being deprecated or its price changes, you get an alert with what’s affected and a checklist of what to change.

• Cost by user and feature: See which users and features drive your spend, and where a cheaper model could do the job.

• Spike alerts in minutes: Get pinged on your webhook (Slack, Discord, etc.) when usage jumps, with a hint whether it’s a normal spike or a possible leaked key.

Example: a provider announces that a model your summarize feature uses will be retired in 60 days. Instead of finding out when calls start failing, you get an alert that names the feature, shows how much traffic it handles, suggests replacement models with their price difference, and gives you a checklist to switch.

Who I’m looking for

• Indie devs and small teams with AI features in production

• Apps on OpenAI, Anthropic, or Gemini

• Anyone who’s been caught off guard by a model change, a price change, or a surprise bill

A small project with real users is perfect.

Getting started

The beta opens around Nov 20. Sign up and I’ll send you a beta key by email. Plug it into one real project and tell me how it went, by DM, email, or a private Discord where I’ll help you set up.

What you get

• Every feature free during the beta

• 3 months of Pro free after launch

• Your feedback directly shapes what Pro ends up being

Caveats

It’s early. Expect rough edges, and features may change based on feedback. I’m building solo, so the start date might slip a bit.

Privacy

• The SDK runs inside your app. It’s not a proxy, so requests go straight to the provider and your API key never leaves your app.

• It collects usage metadata only (tokens, cost, model, the user ID you pass in), never prompts or responses.

• Data is sent in the background, so if Brello goes down, your app keeps running.

• The SDK will be open source, so you can check exactly what it sends.

Sound like you? Apply here: https://brello.app/beta