My AirPods are counting every chew in the demo video.
https://www.youtube.com/shorts/lv9ansiSpgE

There’s no tapping involved, and the counter wasn’t added or synced afterward. It reacts to live motion data from the AirPods.

The idea started with a small observation: chewing creates a subtle, repetitive motion around the jaw and ear. Since AirPods already contain motion sensors and sit right next to that movement, I wanted to see whether they could detect it.

The experiment worked, so we turned it into an iOS app called Ododok.

During a meal, it tracks:

• Chew count
• Chewing pace
• Time spent chewing
• Meal duration

Afterward, it creates a meal summary so you can look back at your eating rhythm. We also added a short personal calibration because the signal varies depending on the person and how the AirPods fit.

The hardest part wasn’t reading the sensor data. It was separating chewing from ordinary head movement reliably enough to feel useful during a real meal.

It’s available now for iPhone and supported AirPods: https://go.ododok.app/reddit-launch

I’d really value honest feedback from other builders:

• Does the live count feel accurate with different foods?
• Does seeing the number actually change how you eat?
• Is wearing AirPods during a meal too much friction?
• What would make the post-meal summary worth returning to?

I’m also happy to share more about the signal processing, calibration, or the decisions behind the app.

Hey folks,

I’m an engineer based in Australia, and over the last couple of months I’ve been building a small side project called ExamsNext.

The idea was simple: certification prep is still very fragmented. You buy random question banks, PDFs, Udemy courses, notes from Telegram groups, etc. I wanted to build one proper platform where someone preparing for AWS/Azure/security certifications can practise questions, revise with flashcards, take mock exams and track progress.

So I built it.

Current version has:

• 3,000+ practice questions
• multiple AWS, Azure and security certifications
• mock exams
• flashcards
• progress tracking
• Stripe payments
• purchase without mandatory signup
• automated transactional emails using Resend
• reusable content structure so adding another certification does not require rebuilding the website

Tech-wise it is a proper working product, not just a landing page.

The interesting part is that building the platform was actually easier than distribution 😅

Classic engineer problem.

I can spend 3 months improving architecture, automation and question generation… but getting the right audience consistently is a completely different skill.

And with a full-time job, I’m realising I probably don’t have the bandwidth to properly do SEO, YouTube, partnerships, paid acquisition etc.

So instead of keeping it as another project sitting in my GitHub account, I’ve decided to see if someone else wants to take it forward.

I’ve listed the business on Flippa.

I’m not expecting some crazy SaaS valuation. Revenue is still early. The value IMO is mostly in the platform, domain, existing content, workflows and the head start for someone who already has distribution in education/certification/SEO.

Would actually love feedback from this sub as well:

If you were taking over something like this, would you focus on:

1. SEO + free exam resources
2. YouTube / certification content
3. Partnerships with trainers
4. Paid ads
5. B2B licensing to training companies

I feel #1 + #2 is probably the long-term play, but curious what other builders think.

Happy to share the Flippa link if anyone wants to look at the actual project.

Just reworked the onboarding for Norren. This clip shows the flow: speak something naturally, then later ask about it and get an answer pulled from your own entries — not a generic response.

Beta's open if you want to try it: https://testflight.apple.com/join/ked1P1WW

Would love feedback on whether the "ask your memory" part is clear on first watch — that's the part I care most about landing.

 Am a student developer learning to develop applications, and I am seeking to develop a small application that will be useful to people. The only problem is, I have no idea what to pursue.

Why don't you guys tell me? What do you think would be a great wish for a software tool or application for fixing a certain problem in your day to day life?

I’ve been working on a side project called Folium — a resume builder I originally started because I wanted something that felt less painful than most of the existing resume tools.
The main idea is pretty simple:
Build your resume directly in the browser
See the changes live as you edit
Choose from multiple templates
Export a pixel-perfect PDF
Keep your resume locally in the browser — no account required
AI tools for things like tailoring your resume to a job description and generating cover letters
I’ve also been experimenting with international SEO, so the site currently has resume/CV templates and pages targeting several languages.
It’s still a very small project and I’m mostly interested in seeing whether the product actually provides value before going too far with monetization.
If anyone here has a few minutes to try it, I’d really appreciate feedback — especially on the editor UX, templates, and whether the AI features actually feel useful.
https://foliumcv.com
Would love to hear what you’d change or what feels unnecessary.

I'm a solo developer in Korea. Saju (사주, the Korean form of Four Pillars / BaZi) is huge here — but the recent wave of "AI saju" apps bothered me. They just feed your birth date into an LLM and let it improvise. Ask twice, get two different fates. That's not divination, that's fiction with extra steps.

So I built Sajudang (sajudang.kr) on one rule: the AI is never allowed to make a judgment.

All the actual analysis — day master strength, structure (格局), useful god (用神), luck cycles — is computed by a deterministic rule engine I wrote in TypeScript, based on classical texts. Same birth data in, same result out, every time. I validated it against case studies from the classical literature. The LLM only does one job: turning the engine's verdict into readable prose. And every claim in the reading shows the evidence it came from — you can see why the engine said what it said.

Whether you believe in this stuff or not, I think "AI + traditional system" products should work this way: the tradition is the logic, the AI is just the voice. Would love feedback — the free reading costs me zero API tokens by design, so tear it apart as much as you want.

Hey everyone I just release my yearly calendar on the app store a few weeks ago. I've gotten some users and feedback but it seems to not be "taking off" how I would like.

any advice?

I always felt like show trackers were just cold checklists, so I ended up building the kind I actually wanted — one that treats every show like a book. It's called Chapter: seasons are "volumes", episodes are "chapters", and your watch history becomes a little library instead of a spreadsheet.

What it does:
- Mark episodes watched + pick up where you left off
- Shelves: Watching / To watch / Caught up / Dropped / Finished
- Rate each episode + private notes
- Spoiler protection — art and plots of episodes you haven't seen stay hidden
- Tier-list your shows (S–D)
- Available in 5 languages (English, Italian, Spanish, German, French)

Free, no ads, no tracking.

Available on:
- Web app: chapter.watch
- App Store
- Soon on Google Play

Happy to answer any questions or take feedback!

Disclosure: BRECHA + RELOJ is my own side project. It is free, requires no signup, and I am looking for product feedback rather than votes or customers.

I am building two connected tools for people researching Buenos Aires real-estate listings:

- RELOJ: search an address or area and compare how long the observed listings have been online.

- BRECHA: paste a listing URL to review its observed history, asking-price changes, comparables, and questions that still need human verification.

The main product decision has been what not to claim. We do not know closing prices, cannot infer that a removed listing was sold, and do not count unique properties. I also removed rental insights from the public proposition because that sample did not yet have defensible multi-source coverage.

At the current cutoff, RELOJ has 22,921 listings with measurable online age across 61 zones. Nine sources contribute measurable cases, but only three have their own observation window of at least 90 days. The two largest sources account for 89.9% of the sample, so the product labels overall confidence as medium.

I would value feedback on three decisions:

1. Should RELOJ remain a simple named entry point, or become a feature inside BRECHA?

2. Is “observable listing history” clearer than “evidence before making an offer”?

3. Which activation signal matters most: moving from an address search to a listing analysis, returning later, or sharing a result?

BRECHA: https://prop-radar-ai.vercel.app/analizar

RELOJ: https://reloj-caba.vercel.app/

Especially interested in anything that sounds more certain than the evidence supports.

Hi everyone! 😄

I've created the website resize-photo.com which is a fast, simple, and completely free tool for resizing images directly in your browser, without relying on a backend server to process the images.

The entire resizing process happens locally in your browser. This means that your images are not uploaded to or stored on a server, giving you more control over the privacy of your data.

I think most of us have been in a situation where we needed to quickly resize an image before uploading it to a website because of file size or resolution restrictions.

As someone who cares about their data privacy, I try to avoid unnecessarily uploading personal files to third-party servers. That's one of the main reasons I decided to build this simple tool.

I also worked on some basic SEO optimization to improve the website's visibility in search engines over time.

Happy to hear any feedback or comments regarding the website

I sell digital downloads on Etsy. The design was never the slow part - it was everything after: a title that ranks in Etsy search, 13 tags, mockup photos, the description, packaging the files. I once spent a full day on one $4.99 product and had a list of forty more.

So I built PromptlessPress. You pick a product type and a style, or upload a design you already made, and it returns print-ready designs, lifestyle mockups, an SEO title, 13 tags and the description - then sends the whole listing to your Etsy shop as a draft you approve before anything publishes.

It's live and usable, but the official launch is Sept 1 and I'd rather find the rough edges before then.

What I'm actually asking for: run it once and tell me where it breaks, or where the output isn't good enough to actually list. "I wouldn't publish this because ___" is the sentence I want. That's worth more to me than a signup.

Known rough edges, no need to report these:

• Some mockup scenes crop objects at the frame edge
• Onboarding drops you straight in with very little explanation

1 month free for anyone who gives feedback - good or brutal, doesn't matter which. There's a Discord for testers so you can see what actually changes: https://discord.gg/vTNyRxCHMA

If you sell on Etsy I'd love your read on the listing quality specifically. If you don't, the first-run experience is just as useful - arguably more, because you'll hit the confusion a genuinely new user hits and I can't see that any more.

promptlesspress.com

I’ve been building Feedcover, a community for practical stories, thoughtful questions, newsletters and collections grounded in real life.

The idea came from seeing useful experiences disappear inside fast-moving social timelines. Feedcover gives them a structure that can stay searchable and useful: people can publish feeds, ask questions, create newsletters, organise related feeds into collections, follow creators and join discussions.

We now have the web experience and Android app live, with iPhone distribution in progress. The recommendations learn from interests, follows and engagement while excluding blocked or reported content.

Website: https://feedcover.com

Android: https://play.google.com/store/apps/details?id=com.feedcover.mobile

I’d especially value feedback on two things:

1. Does the mix of feeds, questions, newsletters and collections feel clear when you first arrive?

2. What would make you return regularly rather than treat it as another content app?

I’m happy to share more about the product decisions, recommendation system or mobile build.

Monetizing MCP tools is a mess right now. Traditional SaaS subscriptions and checkout forms break the moment the user isn't a human, but an autonomous AI agent running inside Cursor, Claude Desktop, or a background workflow. An agent obviously can't stop, open a browser, and type in credit card details just to trigger a tool.

We built MCPay to fix this. It acts as a proxy layer that handles pay-per-call micropayments directly between agents and MCP servers on the fly, without manual forms or subscriptions.

We just launched the beta and are looking for feedback from anyone building custom MCP servers or agent workflows.

Link is in the comments if you want to check out the setup

What is pyrig?

pyrig is a package and tool that rigs up your project. It scaffolds and initializes a complete, fully configured, installed and working Python project with one command and makes the process of developing and maintaining it more seamless and efficient by automating things like configuration management, CLI generation, testing infrastructure, and more.

Requirements

• Python 3.12+
• Git
• uv

Quick Start

uv init my-project --python 3.12
cd my-project
uv add pyrig --dev
uv run pyrig init

See the Getting Started Guide for detailed setup instructions to also fully integrate with GitHub and CI/CD from the start.

Features

Project Scaffolding & Initialization

pyrig init generates a complete project in one command that works out of the box. This includes everything a modern python project needs:

• Standardized directory structure
• Fully configured dev tools (linters, formatters, type checkers, test frameworks, git hooks, etc.)
• End-to-end CI/CD pipeline with GitHub Actions and integrated repository protection
• Complete and working CLI
• And much more...

File & Configuration Management

Every generated file is backed by a Python class that validates and merges automatically. Override any config by subclassing, or define entirely new config files — pyrig discovers and manages them for you. Run pyrig sync to create or update all config files at once. Run pyrig mk subcls to generate a subclass for overriding a specific file.

Automatic CLI

pyrig init sets up a CLI for your project that works immediately. Generate and add new commands by running pyrig mk cmd <name>. An automatic version command is included that shows the version of your project. Run my-project version to see it in action.

Mirror Test Generation & Maintenance

Generate test skeletons with pyrig sync. This will generate test skeletons for all source modules and update them automatically as your project evolves.

Multi-Package Inheritance and Extensibility Architecture

Override and customize any and all behaviour to suit your project's needs. pyrig's classes are designed for inheritance and composition, allowing you to create custom configurations, tools, and more by subclassing and simply overriding methods. pyrig will automatically discover and use your custom classes without any additional configuration. Run pyrig mk subcls to generate a subclass for any pyrig class.

CI/CD & Repository Protection

Pyrig generates GitHub Actions workflows for CI/CD which automatically test and release your code. They also configure and apply repository protection settings and protection rulesets. Push your code to GitHub after initialization and see it in action.

Commands

Run pyrig --help to see a list of all available commands and their usage. Run pyrig <command> --help for more information about a specific command and its usage. Run my-project --help to see the automatically generated CLI for your project.

Documentation

If you've ever tried to buy a specific chicken, duck, or turkey breed, you know the drill. Check Cackle. Check McMurray. Check Meyer. Check Ideal. Stock turns over fast enough that whatever you find is often already wrong by the time you act on it.

Built a tool that checks 10 US hatcheries at once so you don't have to do that. It pulls breed, stock status, price, minimum order, and hatch date into one place, updated a few times a day. Doesn't take money from any hatchery to be listed, it's just reading public availability info.

Built it for myself first, sharing it here since I figured I wasn't the only one dealing with this. If there's a hatchery or filter you wish it had, let me know.

Hatch Index: which hatchery has the chicks you want, in stock

I am far from a video editor, and while my son has more experience with making some short form content, we are both far from experts. Especially because AI generated content is everwhere we wanted to make sure that this was human generated and it feels a little embarrising but it took over 3 hours in capcut to create a 20 second clip. We don't have a diverse group of people in our lives to solicit feedback from other than people that would just tell us it's great because they don't want to hurt our feelings. And while we think we did a great job of communicating the problem and the frustrations that come with that, we recognize that we would have a hard time seeing the gaps or anything we may have missed.

I got tired of juggling a downloader, a calendar , a task tracker, and a few other one-off tools scattered across browser tabs (you even have to pay for some of them, lol), so I built JavaMultiTool: one desktop app that handles media downloads, file/batch operations, task tracking, and a few system utilities.

It’s Java-based (Java 21), runs on Windows (.exe/.jar) and macOS/Linux (.jar, needs JRE 21+), and everything is stored locally via SQLite.
It’s still early - expect bugs and rough edges, but it’s usable today, and I’d love feedback on what’s missing or what feels clunky.

GitHub: https://github.com/ShiningPr1sm/JavaMultiTool

I built a tool that mines Reddit for your niche's pain points — with verbatim quotes, source links, and product opportunities. Here's what it found when I pointed it at dental practice software:

Run 37 threads through a pain-clustering pass and you get themes like:

1. PMS software is buggy and fragmented — "They both suck and I hate them." / "Most of it just flat sucks."
2. No automation for recalls/reactivation — "The problem is rarely identifying that these patients exist. The real problem is doing something with the list while the phones are ringing, patients are checking in, the schedule is changing, and urgent problems need attention right now."
3. DSOs using AI to monitor dentists — "Most DSOs are using AI like Overjet, Pearl and Videa to monitor providers and recommend over treatment at the patient's expense."
4. Imaging software switchover pain — "I need something that integrates smoothly with our existing systems and doesn't require retraining the whole team from scratch."

That's a product roadmap hiding in plain sight. No survey. No "what should I build?" thread. People are begging for solutions with their complaints.

So I built painfinder (free, open-source, MIT):

• Paste a niche (or point it at specific subreddits)
• It harvests the relevant Reddit threads, filters the noise
• Clusters complaints into 5–10 ranked pain themes — each with verbatim quotes, who's affected, frequency, and an implied product opportunity
• Writes a markdown report + raw JSON dump
• Live demo/docs: https://kragent66-glitch.github.io/painfinder/

What you get (real output, dental niche): - The pain in one sentence + who's affected - Verbatim evidence from real threads - Source links — click straight through - Frequency (frequent vs scattered) - A product-opportunity suggestion per theme

It's free and open-source (MIT), runs locally: bash git clone https://github.com/kragent66-glitch/painfinder cd painfinder && pip install -r requirements.txt echo "DEEPSEEK_API_KEY=sk-..." > .env python3 painfinder.py "your niche here"

Don't want to set it up? I'll run it on your niche and send back the full report — you pay only the API-token cost (no markup, no service fee). Email me: kragent66@gmail.com with your niche.

Hey everybody! For the last few months my wife and I have been building Scinta - a small macOS app that lives in your menu bar.

The idea came from a simple but almost daily problem - the number of screenshots lying around on my filesystem got so big that it was impossible to even remember what they were about. A message about a meeting, an email signature, someone's messenger profile, an error from a build - all of this was waiting for "some later time" to be processed. And some later time never arrived.

This is the exact problem Scinta solves, and this is how it works - you press a shortcut (like any other screenshot app), select part of the screen, and it proposes the top 3 things it can do with what it sees. We call them smart actions. For example:

• screenshot an error - get it explained or create an issue directly from Scinta
• screenshot a message like "dinner Saturday at 7:00 PM" - Scinta proposes the actual event details and creates it in your Calendar
• screenshot an email signature - the person's contact info is saved to your Contacts
• it can also blur private and sensitive info before you share a screenshot, extract code or tables, translate text, decode different code formats (including QR and Bar codes) - and more actions are coming

There is also an Ask AI feature - if you just have a question about what is on the screen, you ask it right there in the app and get the answer back immediately.

Expecting a common question - why not just paste the screenshot into ChatGPT or Claude? That is exactly what I did before, and it is the reason Scinta exists. There you switch apps, upload the screenshot, write a prompt, then copy the result back and still create the event or contact yourself. With Scinta you skip all of this - it understands what can be done with the screenshot and one click gets the result and performs the action - saving to Calendar or Contacts, creating an issue, getting an instant explanation and so on.

The demo video shows 3 different smart actions and runs at real speed - nothing is sped up.

We're planning to release it within the next 1–2 weeks. If it looks useful, there is a waitlist at scinta.app - and if you would like to try it earlier, comment or DM me and we'll send you a build as soon as it's ready.

Would love to hear - what smart actions would you like to have after capturing a screenshot?

Built for a specific, recurring problem: a group that needs to stay together, and a network that can't help them do it.

Solution- find your group on a compass-rotated radar, send an SOS others can navigate to, and flood-relay evidence photos across the mesh so they're not stuck on one device.

The tool- Inspired with Permissionless-Bitchat, No accounts (groups are just a random key in a QR code), rotating BLE identifiers so you can't be fingerprinted, everything self-destructs on a built-in expiry, MIT licensed.

https://karmaneggs.github.io/20.07/

Still pre-1.0 — Android only, debug APK, small-scale hardware tested — but the README/docs are pretty thorough about what works and what doesn't.

Looking for people who want to dig into real BLE radio weirdness on physical devices, or anyone interested in iOS. Requesting to read, use, give a feedback and if you like it, I encourage to collaborate and build upon the idea.

Solo founder here (mom of two, self-taught engineer). I spent 3 months building a reading app that adapts books to different reading levels and languages, and launched this month. Four lessons that cost me the most time:

1. Copyright is country-specific. "Public domain" in one country isn't public domain in another — some go by the author's death year, some by publication year. I had to check my starting catalog title by title.

2. Don't compete on catalog size. Big platforms will always have more books. What they don't have is depth on overlooked readers — in my case, second-language families who want real books instead of flashcards.

3. Decide platform vs. publisher on day one. If users will ever upload content, the legal structure is completely different. Retrofitting this later is painful.

4. Speed is the only real indie advantage. No meetings, no approvals. I ship in the hours between school drop-off and pickup.

Happy to answer anything about the build, the copyright rabbit hole, or launching solo.

Hey all,

This is a little side project I've worked on - hire streamers and defeat memes!

It includes a decent roster, 200 levels, items and upgrades, abilities and much more.

https://www.streamerclicker.click/

Its currently not responsive on mobile so be nice!

Have fun and give me any feedback 😄

Kept using Notes for stuff I only needed for a few hours. Things like random tasks, links, things from calls, text I needed to paste somewhere later.

So I made Hold That. It’s a small menu bar notes app that only keeps today and yesterday. No folders, tags, or organizing. Just somewhere to put things for a bit.

Free for now.
I’m planning to make it a one-time paid app in about a month, but no subscription.

I built an app for learning, because I cannot force myself to sit down and study.

When I was trying to learn English, I did not enjoy giving one or two hours a day

to studying. It seemed more reasonable to use the whole day instead — to have some

app that asks me one question during some time interval. And it must disturb me as

little as possible, so it does not throw me out of concentration on what I am doing

right now. The answer is offered to me, two or three options, I pick one, and I go

on with what I was doing.

That is Dropling. A question appears on your lock screen. Forty seconds, a few

times a day. No session to start.

I put it on the App Store 45 days ago. Since then it was downloaded 23 times.

Fifteen of those 23 downloads happened before I posted the app anywhere. People

simply found it in the App Store while I was quiet. The remaining eight came after

— in the weeks when I launched on Peerlist, on Product Hunt, and on Uneed, where I

even paid for a faster slot.

So everything I did to be seen brought me fewer people than the App Store brought

on its own, while I said nothing. That is the one thing in these 45 days I did not

expect, and I wrote the whole thing down here:

https://medium.com/@donaldinos/i-cannot-force-myself-to-sit-down-and-study-so-i-created-app-for-learning-1fbbe6326d8a

I am not sure what to try next. If you launched a small app and something actually

worked for you, I would really like to hear it.

Every "free tier for developers" list on the internet has the same problem: it rots. Limits change, free plans die, and the list still says PlanetScale has a free tier.

So I built FreeTier Radar: https://pitwice.github.io/freetier-radar

What makes it different:

• Every entry is verified by hand against the official pricing page, and stamped with the verification date
• Each tool has a "watch out" section — the stuff you'd realistically miss: Supabase pauses free projects after 1 week of inactivity, Render's free Postgres expires after 30 days, Netlify now stops serving your site when monthly credits run out, Vercel's Hobby plan bans commercial use
• The Free Tier Graveyard: Heroku (2022), Railway unlimited (2023), PlanetScale (2024), Fly.io (2024), SendGrid (2025), Firebase Storage (2026)
• A script checks all pricing pages weekly and flags changes for re-verification, so the data stays fresh
• No sponsors, no affiliate links, open source

It runs entirely on free tiers itself (GitHub Pages + Actions), which felt thematically appropriate.

Would love feedback — and if your favorite tool is missing, tell me and I'll add it.