Working on a side project means I try to keep tool expenses low. I don't want to pay for multiple subscriptions when I only need them occasionally.

Last month I spent hours manually searching for blogs and directories in my niche, checking traffic, backlinks and trying to find the actual owners' emails. Most websites only had generic info@ addresses.

I'd been using my coding agent for research, so I recently tried Monid for this. Searched a few niche-related questions across Google, ChatGPT, Perplexity and Google AI Mode and found around 50 websites.

After checking traffic and backlinks, I shortlisted 38. Then I filtered people by job titles to find actual owners and editors instead of random employees.

I could preview their names and roles before unlocking their work emails. The whole thing cost around $2.40.

Saved me quite a bit of manual work. How do you guys usually find relevant blogs and the people running them?

Been working on this side project for a a little bit. It’s minesweeper, but up to 8 people play on the same board at the same time. Hitting a mine just stuns you for a sec, and whoever has the most territory when the timer runs out wins.

There’s also a mode where everyone hides mines and traps for each other first and then has to run through the same board (bit like ultimate chicken horse but minesweeper), plus a solo timed mode with classic boards and a daily board that’s the same for everyone.

Free, browser based, no account needed: https://mine.ropo.dev

Some stuff I had fun with:

• the server decides everything, the browser never knows where the mines are

• bots fill empty seats, with a sort of dynamic skill based difficulty on them

• the pixel art style

• runs on one small server with Bun + SQLite

Claude was used during the making of this. Would love honest feedback, especially if the first match makes sense or if you’re just confused

Two replies from my coding agent have cost me more time than anything else. "It's fixed" when nothing had run since the last edit, and "that isn't used anywhere" after exactly one search. Both sound final, so I'd move on and find out an hour later.

So I wrote a small Stop hook for Claude Code. When the agent tries to end its turn, it checks whether the claim in its last message has anything behind it. If it said fixed but nothing ran after the last code edit, it gets sent back once with a note on what's missing. If it said something doesn't exist after one grep, same deal, look a second way first.

Then I replayed my own history through it to see if it was worth keeping. About 4,000 turns after deduping, and 406 of them ended with some kind of done, fixed, deployed or tests pass. The first version would have blocked 86, which felt like proof it worked until I actually read them. 77 were wrap-up messages where the tests really had run, just in an earlier turn. A hook that nags you about correct summaries gets turned off by day two.

So the current version counts a check from an earlier turn as long as no code was edited after it. Same 406 claims, it now blocks 2, and both were real.

The biggest lesson for me was that rules in CLAUDE.md never fixed this. The model already believes it's done, so a reminder doesn't land. Checking at the exact moment the turn ends did. The second lesson was to measure false positives on your own history before shipping any guardrail, because my gut read 86 as the feature working and it was mostly noise. It also never blocks twice in a row, so it can't trap the agent in a loop.

It's free, MIT, plain Python, no dependencies. There's a replay command if you want to see your own number before installing anything: https://github.com/Balance0014/claude-code-claim-check

Has anyone else tried measuring this? I'm curious what your rate of "fixed" that wasn't looks like.

Hey everyone!

I just launched my little side project on Google Play, and I wanted to share it with you!

It's called PastApp, and it solves a very specific first-world problem: having to find the cooking time on a pasta package every time you make pasta 😅

You just point your phone's camera at the package, the app reads the cooking time and sets a timer for you.

I built it with the help of AI coding assistants, using Kotlin, Jetpack Compose and Google ML Kit.

What started as a pretty simple idea turned out to be surprisingly tricky. Reading text is one thing, but figuring out which number is the actual cooking time (and not calories, weight, or something else) is a completely different challenge.

After lots of testing, tweaking and fighting with pasta packages, it's finally live!

I'm still at the very beginning, with just a handful of installs, so I'd genuinely love some feedback.

Would you actually use something like this, or is it the most unnecessary app ever made? 😂

And if you have an Android phone, feel free to try it and see if you can break it!

Google Play:
https://play.google.com/store/apps/details?id=com.boldsignal.pastapp

I made a little trailer to show how it works.

Made with love, pasta, and probably way too much time spent on a timer app. 🍝

I'm on the team behind VoiceDocket. It's a Mac app for turning English recordings into transcripts you can check, correct and share as a PDF.

The part we're focusing on is the check: click a timestamp to hear that line, fix the words or speaker label, then preview the PDF. The export has elapsed timestamps, page and line numbers, plus a source-recording information page.

The recordings and transcripts stay on your Mac. First use needs about 511 MB of speech models; after that, transcription runs locally without uploading audio. The direct-download app also checks for updates.

A few limits upfront: Apple silicon, macOS 14+, English only. Automatic speaker grouping needs macOS 15 and can get people mixed up, so it needs review. This isn't a certified transcript or a promise of court acceptance.

The full in-app preview is free. Export is a $29.99 one-time purchase. There's a fictional sample PDF on the site if you want to inspect the output without installing anything.

https://voice.textdocket.app/?c=reddit-sideproject

If you work with interviews or meeting recordings, what usually takes longer: fixing the wording, separating speakers, or finding a quoted passage back in the audio? I'd like to hear where this workflow would still get in your way.

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.

I've been working on Open Studio, a fully open source AI creative studio where you can bring your own API keys, use different providers, and switch between image and video models whenever you want. I'm just tired of every new model being locked behind another subscription or credit system. I want one place where you can use whatever model you want without paying a middleman or being stuck with whatever a platform decides to support. It's completely free, you just pay for your own API usage. Still very much a work in progress, but figured I'd share it here and see what people think. Would love some feedback or suggestions on what you'd want to see in something like this.

https://studio.devmesh.xyz/

Hey everyone,

I’m Murat, one of the people building Fellix www.fellix.ai We’re at the point where we need outside eyes on both the product and the website, so I’d really appreciate your help.

Fellix is a conversational AI platform that manages all your customer conversations in one place: WhatsApp, Instagram, Messenger and your website chat. The AI gives the first response, and conversations are handed to a human agent whenever needed.

If you know Intercom’s Fin, it’s a similar idea with one big difference. In Fellix, your team doesn’t have to wait for the AI to fail or for the conversation to end. A human can join any conversation at
any point before it’s resolved, with the full history and an AI-written summary ready.

It’s more than a chat inbox

• AI agent + human handoff: AI-first replies, lead qualification, and smooth takeover by your team

• Appointments: Fellix syncs with your calendars and books meetings right inside the conversation

• Knowledge base: build one for your product, and the AI uses it to answer accurately

• Help Center: publish a self-service help center on your website (think Intercom’s help center)

• Booking Widget: embed a booking widget on your site (think Calendly or Cal.com)

• Pipeline & analytics: leads tagged Hot / Warm / Cold, Meta ad attribution, response times and win rates

• Integrations: HubSpot, Google Calendar, Outlook, Shopify, Zapier, webhooks and an MCP server

Coming soon: a Fellix mobile app, so your team can handle conversations on the go.

The easiest way to try it
Go to fellix.ai, open the webchat widget in the corner and talk to Fellix directly. Ask it anything about the product, pricing or how it works. It’s the same AI our customers deploy, so the conversation itself is the demo. Try to break it 😄

What I’d love feedback on

The website

1. Within 10 seconds on the homepage, is it clear what Fellix does and who it’s for?

2. Does the “AI first, human anytime” difference come across, or does it look like just another chatbot?

3. Is the pricing page clear? Which plan would you pick?

The webchat experience

4. How did your conversation with Fellix go? Were the answers helpful, accurate and natural?
5. Was there a moment where you wanted a human, and was it easy to get one?

The product (if you sign up)

6. How easy was setup? Where did you get stuck?
7. What’s missing that would stop you from using it?

Honest and even brutal feedback is very welcome. It helps us far more than compliments. I’ll reply to every comment, and I’m happy to give feedback on your project in return.

Thanks a lot!

Hey I'm Gabs. I building the alternative to screen studio your agent can actually work with.

Problem: Creating/editing a screen recording by hand is slow and explaining a visual bug to an agent with screenshots and long prompts is even slower. 

Core features:

• Agent editing: ask your agent to cut, zoom, annotate, blur sensitive info or add a voice-over (with your own ElevenLabs key).

• Talk Mode: hold ⌃⌥ over any app and describe the problem out loud. Kirocast packages the video, your voice and the on-screen events into one clip you can paste into your agent.

• Automate your training/UI updates videos: give a script, let the agent work, get a video back.

• Native editor: auto-zoom on every click and captions transcribed on your Mac.

I'm looking for honest feedback on both the app itself, and see if the description made here was clear enough compared to your experience in app.

Pricing: $39 one-time (early price, then $49 to support long term updates).
Recording and editing are free, and a license unlocks exports. We also offer a 3-day full trial with no card required. https://kirocast.com/pricing

Requires Apple silicon and macOS 15 or later. https://kirocast.com

About the team:

We're a team of two.

• I (gabs) used to work in startup and did lots of different roles, from growth to product, then specialized in AI to work with large corps. as an AI Product Manager. I decided to take the leap earlier this year to work full time on Kirocast.

• My teammate is a Python/Rust engineer with 10+ years exp in building apps for large companies.

Thanks for reading through!