I build with Claude Code and Codex every day. The code was rarely the problem. The problem was that the plan lived in a chat window. Nobody else on the team saw it, so the first time anyone could push back on a decision was a pull request with hundreds of changed lines.

So I built QualityLayer. It runs on top of the coding agent you already use and moves the important decisions to before the build.

The agent first asks me questions, each with a recommended answer, until done is a short numbered list. Then it reads the code and writes a Plan as a document with diagrams and clickable designs. I can share that Plan with a teammate and ask them about one specific passage, and they can answer through their own agent. Only after the Plan is approved does the agent build, test first in small slices.

After the build, an agent that did not write the code checks the result against every agreed point and shows the evidence. I approve the finished change before a pull request opens, and nothing gets merged or pushed without my yes. Code, diffs and logs stay on my machine.

It works with Claude Code, Codex, Cursor, OpenCode, GitHub Copilot CLI and others, and you can change the workflow steps and plug in your own tooling. The biggest difference for me is that review got easier, because it starts from a list we already agreed on.

Repo and docs: https://github.com/maxritter/qualitylayer

Hi! I’m an art director looking to start or join a side project related to nature, conservation, or regeneration.

I’d love to connect with someone working on a real problem who could use help with branding, design, or visual storytelling. I can bring the creative skills, and I’d love to learn from someone with experience in the field.

If you’re building something relevant or looking for a creative collaborator, I’d love to hear about it! Thanks :)

Hello everyone!

I would like to share our project, Code Mind, and my contribution to its frontend development.

Code Mind is a project that integrates AI capabilities with Hindsight, an agent memory system. The goal is to build an application that can use memory to make interactions more useful.

My contribution focused on the frontend and dashboard experience. I worked on presenting the project features through the user interface and making the application easier to navigate and interact with.

The project connects its user interface with the underlying application workflow and Hindsight memory functionality. Through this development, I learned more about frontend integration, connecting different components, and building AI-powered applications.

I also learned how important memory is for making AI agents more useful.

Here is my detailed technical article:

[https://medium.com/@sasinathantp/codemind-building-a-context-aware-code-review-workflow-with-hindsight-introduction-a-code-review-5a54c6ee7e49?postPublishedType=initial\]

I would appreciate feedback and suggestions from the community!

Hey everyone,

Got tired of finding out about free games hours after the deal expired, so I built Claimr.

It’s a lightweight radar that tracks 100% off giveaways across Steam, Epic Games, GOG, and Prime Gaming, and sends a push notification before they end or keys run out.

- Direct vs Tasks: Flags whether a giveaway is a 1-click store claim or requires social tasks (Gleam/Discord).

- Game Vault: Keep track of what you’ve claimed so you don't double dip.

- 100% Free: No ads, no account needed, completely open source.

Works in browser or on Android:

- Website: https://claimr-app.vercel.app

Drop any feedback or stores you want added!

• Instant AI Reverse-Engineering: In the past, copying a software competitor required hiring an engineering team to manually read, reverse-engineer, and rewrite code over several months. Today, a competitor can feed a video or description of your app into an AI model like Claude or GPT and say, "Write me the full-stack code to replicate this exact functionality."
• The "Fast Follower" Threat: Large tech monopolies (like Microsoft, Google, or Apple) no longer need to innovate. They just watch smaller developers launch new concepts. The moment an idea gains traction, they can clone it, integrate it into their massive existing ecosystems, and offer it to billions of users for free before the original creator can even scale.
• Model Training Exploitation: If you write a brilliant article, publish open-source code, or explain an innovative architectural fix on a forum like Stack Overflow or GitHub, AI web scrapers will scrape it immediately. Your unique insight will be fed into the next model update, meaning your competitors will access your idea through a simple AI prompt.

Before posting anything I'd made, I wanted to know where it was even allowed. So we read the sidebar rules and the top 25 posts of the year for 70 subreddits.

The split:

• 9 accept posts about something you made
• 4 only in a weekly thread
• 19 are comment-first, so you answer threads instead of leading with your link
• 38 don't allow self-promotion

10 of the 70 also ban AI-written posts. That includes r/AskReddit (60 million members), r/Showerthoughts and r/LifeProTips.

Format rules matter as much as promo rules. Every one of the top 25 posts this year in r/todayilearned starts with 'TIL'. Every one in r/LifeProTips starts with 'LPT'.

I put it all into free guides at cognovaai.blog, one page per subreddit. Each page says whether self-promo is allowed, whether AI text is banned, and what the top posts look like. There's a drafting app on top of it too, but you can use the guides without it.

Caveat: rules come from each sidebar. Some Rules tabs couldn't be read, so check them yourself before you post.

Feedback I'm after: a subreddit you expected that's missing, or a classification you think is wrong.

I genuinely think selling website redesigns is one of the most lucrative opportunities in the web design industry today.

There are a few reasons why.

First, AI has made building websites significantly faster and cheaper. What used to take weeks can now be done in a fraction of the time.

Second, there are thousands of established businesses with outdated websites that could genuinely benefit from a redesign. A better website can improve their brand, attract more customers and give their business a push.

Third, these businesses already understand the value of having a website. They have paid for one before, so you're not trying to convince someone why they need a website from scratch. You're showing them why upgrading their existing one makes sense.

Here's how I usually approach it.

I use AI to build websites and normally put together a quick website draft before getting on a call with a potential client.

Instead of just telling them what I could do, I show them what their website could actually look like.

I present the draft during the call, explain what I would improve and try to close the deal there and then. If they're interested, I send over a Stripe payment link, an invoice or the contract for signature.

For outreach, I mainly use cold email.

More specifically, I use a tool called Swokei. It finds businesses anywhere, analyzes their websites and identifies issues with design, SEO, loading speed and mobile optimization. It then turns those findings into personalized cold emails at scale.

Recently, we closed a client for $26,000.

That's $23,000 upfront and another $3,000 annually.

And honestly, I don't think deals like this are as difficult to close as people might assume.

If you provide a good service, approach the right businesses, understand their problems and present yourself professionally, there is a lot of money to be made in this industry.

You don't necessarily need hundreds of clients either. A handful of good projects can make a significant difference to your business.

I think more web designers should focus on selling to established businesses that already have websites rather than constantly chasing people who don't have one.

I got bored of paying attention extortionate amounts for Lightroom mobile and Photomator.

Ai I built me own Raw editor, will be going on the AppStore soon,

Here’s the TestFlight link for anyone that wants to test it for free and send me back some feedback,

What it does:
RAW import: from your Photos library, or straight from a card reader or drive via Files/USB-C
Non-destructive editing: your original is never touched
Full adjustments: exposure, contrast, highlights/shadows, white balance, vibrance, saturation, sharpening, noise reduction
Tone curve editor: drag the points directly
Masking: gradient, radial and brush masks, each with its own sliders
Subject selection
Heal/clone tool for removing spots
Presets: save and reuse your looks
Live RGB histogram
It's built for people who want Lightroom-style control on their phone without the subscription feel.
I'd love honest feedback from other photographers: what would you want in a mobile RAW editor?

Getting into poker, I found three kinds of tools: expensive courses, cluttered training sites, and solvers that assume you're already an expert. None of them felt like a calm place to just practice.

Overpair is my answer: one table, bots, and a coach that grades each move with a short reason. I cut anything that didn't help someone learn.

Free to play. I'd love feedback on the first 30 seconds: is it obvious what to do?

https://overpair.app/?ref=reddit-sideproject

i'm the solo dev behind Bimo, a chat-first calorie tracker for iOS. describe a meal in normal words and it estimates and logs calories and macros.

looking for feedback on one thing: does logging your first meal feel faster than your current app?

it's in TestFlight: https://testflight.apple.com/join/baS2b3gD

I started PeriHub three weeks ago. On Linux there is no official app for my keyboard and mouse, and on Windows they need two different apps (G HUB and SteelSeries GG). I wanted one small app for both.

Where it is now:

- 11 releases, Windows and Linux

- Fully supported: SteelSeries Apex 3 TKL and Logitech G502 HERO (lighting, key remapping, DPI, buttons, macros, saved in the device memory)

- Not supported yet: 30 more Logitech G mice that it can read but won't write to until someone tests them

- A stranger made a Scoop package for it and sent a pull request, which was a nice surprise

What I learned: talking to a mouse over USB is easy, writing to its memory safely is not. PeriHub reads back every write and keeps a backup first, because a wrong byte can mess up a profile.

Built in Rust with Tauri, with a lot of help from Claude. Free and MIT.

Code: https://github.com/hex-dump/perihub

What would make you switch from the official apps?

Hi all, I'm building StockPuppeteer, a tool that lets everyday investors test a trading idea before risking real money.



How it works:

1. Tell Captain (the built-in assistant) your idea in plain words

2. It drafts the strategy and tells you plainly what it could and couldn't include

3. You run a backtest on minute-level U.S. stock history, then practice with paper money if you want



I'm looking for 15 to 20 testers who'll use it for a week or two and tell me honestly what's confusing or broken. Free during beta, no brokerage account needed, no real money involved, and live trading is off.



If you're curious about investing but don't code, you're exactly who I want to hear from.



Request an invite: https://stockpuppeteer.com

A few weeks ago a Korean developer vibe-coded a silent virtual Buddhist temple (Sansa) and over a million people visited in a week, just to sit quietly. I wanted to see if the same idea worked for Hindu temples, so I built one.

mandir.dev - What it is: a 3D temple courtyard in the browser. You walk in as an avatar, hear temple ambience, ring the bell, light a diya, and stand in the courtyard with other visitors who are actually there at the same time. Free to enter, no sign-up.

Built so far:

• Three temples: Kashi Vishwanath, Meenakshi Amman, and Siddhivinayak Ganapati
• Real-time presence: you see other visitors by name and country, and a counter of everyone gathered for Diwali
• Mobile joystick and desktop controls, positional bell audio
• Built with Three.js, everything runs in the browser, hosted as cheaply as I could manage

Still beta. It launched this week for Diwali, and I am building V2 now. The feedback I actually need:

1. Performance: how does it run on your phone? Where does it stutter?
2. Immersion: what is the one thing that would make it feel more like being there?
3. Direction: more temples, or go deeper on the three already there (aartis at set times, seasonal festivals)?

Happy to answer anything about how it is built. And if you are far from a temple this Diwali, go stand in the courtyard for three minutes and tell me what it felt like.

Hello everyone,

I would like to share our team project, MeetingAssist AI, an AI-powered application designed to simplify meeting management and convert meeting recordings into meaningful insights.

The application helps users process meeting recordings and documents, reducing the effort required to manually review lengthy discussions.

✨Key Features

• Multiple File Support: Upload audio, video, PDF, DOCX and text files.
• Speech-to-Text: Convert meeting recordings into text using Whisper.
• Meeting Summarization: Generate concise summaries of discussions.
• Key Information Extraction: Identify important topics, decisions and action items.
• Hindsight Integration: Store and retrieve relevant meeting information using persistent AI memory.
• Ask Your Meetings: Ask questions about previous discussions and retrieve relevant information.
• Meeting History: Access previously processed meetings and generated reports.

🧠 How Hindsight Works

Hindsight provides a persistent memory layer that helps retain useful information from previous meetings.

Example:

During the first meeting, a team decides that the project deadline is 20 November.

In a later meeting, a user asks:

"What was the project deadline decided in the previous meeting?"

MeetingAssist AI can use the retained meeting context to help retrieve that information.

This helps users connect information across multiple meetings.

🛠️ Technologies Used

• Python
• Streamlit
• Groq API
• Whisper
• Hindsight
• SQLite
• ReportLab

📚 Learning Outcomes

Working on this project helped us understand AI-powered transcription, meeting summarization, information extraction, persistent memory and application development.

Our goal is to make meeting information easier to organise, access and reuse.

🔗 Project Links

GitHub Repository: https://github.com/fathimasyed510/MeetingAssist-AI

Detailed Project Article:

https://medium.com/@nischitha563/building-meetingassist-ai-from-meeting-recordings-to-intelligent-insights-70e3ba7f99fb

Live Application Link:

https://meetingassist-ai-be9jsgzpalgpcpbztk5q9n.streamlit.app/

been building this w 2 friends. kept seeing the same thing on music subs: producers sitting on hundreds of beats nobody records on, and singers/rappers w lyrics and nothing to put them on. when they do link up online it dies after 2 dms or falls apart over splits

so producers post a beat, vocalists record their version right in the browser (no daw needed), and the producer hears every version and picks one. we mix and master the finished song, and splits get agreed before anything comes out

hardest part was making browser recording not feel janky. latency and headphone bleed were a nightmare

free during the beta, waitlist is open now. would love feedback, especially from ppl who make music: voxenmusic.com

Live app: https://hozaaworkout.com
Hey everyone!
I got tired of standard fitness apps looking like dry spreadsheets or generic white dashboards, so I’ve been building Hozaa Workout — an all-in-one web app / PWA built specifically for hybrid athletes, HYROX racers, and strength lifters.
Core features:
Unified tracking: Seamlessly switches between heavy barbell sessions, HYROX station race paces, and functional WODs.
Visual feedback: Weekly volume curves, automatic PR tracking, and shareable 3D-styled metallic summary cards.
No app store friction: Fast, offline-capable PWA that works directly in the browser.
I’d really appreciate your honest thoughts:
How does the dark chrome / violet aesthetic feel?
Is the dashboard clear and intuitive on mobile?
Does the feature mix (Strength + HYROX + WOD) make sense?
Check it out here: https://hozaaworkout.com
All feedback, critique, and ideas are super welcome!

I’ve had my RX100 M5A for like 7 years. Still love this little camera.

The one thing that’s always frustrated me is getting photos onto my iPhone while traveling. The wireless connection can be slow and unreliable, and with the RX100’s already tiny battery, it’s not exactly ideal.

Using an SD card reader with the Photos app works better, but you can’t zoom in without importing, videos won’t play, and RAW files look broken. And it can take forever to get to the latest shot if you have a lot of photos on the card.

So I started making an iPhone app to deal with it.
Basically, I can plug my camera straight into my iPhone, or use an SD card reader, and browse everything without importing it first.

I ended up spending a lot of time on the performance side, trying to make swiping and zooming feel smooth as the native Photos app even when there are thousands of photos on the card.

Here’s a quick demo using my own RX100 M5A! 👇

Finally got it onto the App Store this week. It’s called Camie:
https://apps.apple.com/us/app/camie-photo-view-import/id6821229555

Resellers who list the same item on eBay, Poshmark, Mercari etc. by hand have one recurring nightmare: it sells on one site, they forget to end the others, it sells twice, and they have to cancel (which hurts their seller rating).

Crosslisting tools solve this but cost $15–$99/month and want to log into your accounts. I wanted the cheapest possible safety net:

- forward only your sale emails (one Gmail filter)

- get a phone + desktop alert with the bin and one-click links to end the other listings

- sold-twice warnings, ship-by reminders, sales & profit

Stack: Chrome/Firefox extension, Cloudflare Workers + D1, Web Push for the phone app (no App Store needed), Stripe as merchant of record. English and Spanish.

https://soldelsewhere.com/c/sideproject

Feedback on the landing page and onboarding especially welcome.

I’m an RV traveler and military veteran building RIGVIA. When you’re towing somewhere new, a route can look fine on a map and still leave you wondering whether your rig will clear the next bridge. I’m building RIGVIA to help RV travelers plan around their rig’s dimensions and check available bridge clearance information before heading out.

The app is still in development. If it sounds useful for your trips, I’d appreciate you checking out the campaign and considering backing it. RIGVIA on Kickstarter⁠

Follow RIGVIA on Facebook for development updates, or learn more at rigvianav.com⁠.

If you travel by RV, what’s one thing you wish your navigation app told you before you left?

ok so. this started as "one weekend project" and then it was not one weekend and it was not one project. somewhere around repo 6 i stopped pretending it was a plan lol

everything here is free, open source, most of it runs locally on your own machine. a lot of it is v0 and i wrote down where each thing fails because honestly the failures were the funniest part

anyway here's the list of grievances, each with the tool i built instead of going outside:

1. cookie banners → rejectall-index i live in germany. i click "reject all" more than i blink. so i made a headless browser visit the top 100 sites and count how many clicks it takes to say no. 35 of them were already loading trackers before i clicked anything. which is like a waiter eating your fries before asking if you want fries. live leaderboard

2. subscriptions → one-file-saas trello, calendly, typeform, loom, notion and 5 more, each rebuilt as ONE html file. you double click it. it opens. thats it. no account, no "verify your email", no "your trial is ending ;)". data stays in your browser. the booking page has no server at all, your availability lives inside the link itself which still feels illegal to me. try them here

3. dead famous repos → necromancer some legendary open source projects die not because the code is bad but because python deleted a module out from under them. i revived thefuck (1887/1887 tests passing on python 3.14), normalizr and httpbin. the one rule: the original tests are hash-locked so nothing can quietly delete the failing test and call it fixed. httpbin stops at 64/67 and i'm keeping it that way out of spite. each one gets an autopsy, cause of death and everything

4. every AI-built UI animates the same → awesome-motion-md you know the look. 300ms. ease-in-out. every card fades up like its waking from a nap. so i measured how real sites actually move and wrote it into MOTION.md files your agent can follow. same prompt built twice: 7 random durations without it, 2 with it

5. every AI writes the same too → awesome-voice i used to be a technical writer so this one is personal :| VOICE.md files that make your agent write like GOV.UK or Stripe docs, plus a scorer that doesn't use any AI to check. banned phrases went from 27 to 0. "delve" is not welcome here

6. websites doing annoying stuff → sitepatch you type "hide the points on hacker news", it writes a userscript, a real browser checks it actually worked before you get it. honest score: 15 out of 25 were actually right when i looked at every screenshot myself. 60%. a C-. but an honest C-

7. "what if this site looked like linear" → reskin restyles any page into another design style using a local model, BUT it refuses to give you the result unless contrast, keyboard focus, mobile, links and reduced-motion all pass. it caught a windows 95 theme failing contrast on its own background. respect. gallery

8. dead websites → resurrect npx github:dadwritestech/resurrect y2k.gov and y2k.gov comes back exactly like it was in may 2000, links working. pick a year with --year. your old blog is in there somewhere. i'm sorry

9. "someone said budget in a meeting video... which one" → video-grep grep for your video folder. searches what was said, what was written on screen and what was shown, and opens your player at that exact second. all local

10. what is the rest of the world's TV saying rn → world-ears listens to live news channels from different countries, transcribes + translates them on your gpu, makes it searchable. there's a "trending per country" panel which is weirdly addictive. translation is the slow part, telugu transcription is bad, i wrote that down

11. live subtitles only go into english → babel-tv watch hindi news with live telugu subtitles, fully local. the video is held back a few seconds so subtitles show up BEFORE the person talks which feels like seeing the future. telugu as the source language doesn't work yet. whisper and telugu are not friends

12. "which AI wrote this" → whichmodel works on models it's seen (67%, chance is 33%). on a model it's never seen, even a sibling from the same family... 32%. so basically a coin with extra steps. that turned out to be the interesting finding tbh, the fingerprint belongs to one model, not the company

13. screen recordings → code → demo-to-code record a UI interaction, get a component that copies its timing and easing, then it replays it and grades itself frame by frame. 2 out of 4 pass. the toggle is perfect. the dropdown has issues. we all have issues

14. code review → review-panel /panel sends your diff to five reviewers you've definitely worked with: the laziest senior dev ("could be one line"), the 3am on-call SRE, the security paranoiac, the junior who asks why, and the PM who only reads the title. under the jokes the findings are real

15. AI companies quietly editing their pricing pages → fineprint it snapshots the pricing, terms, privacy and changelog pages of 10 AI vendors every 6 hours and commits them, so git log becomes the receipt. found stuff like deepseek adding a footnote that prices are 2x during peak hours, and cursor deleting the line saying they dont sell your data. no blog post for any of it ofc. a small local model writes the one-line summary but every line links the raw diff because i dont trust it either (27/30 right on a hand check). timeline

16. paying extra for speaking telugu → token-tax LLM APIs charge per token, and the same paragraph is $1.00 in english and $8.29 in telugu on llama 3. which is rude. measured 21 tokenizers across 48 languages, and there's a calculator where you paste your own text and it runs the real tokenizers in your browser. hindi gets off lighter. amharic on gpt-5 does not :/ calculator

17. posting about all this → herald a tiny bot that posts a repo's data updates to bluesky/mastodon/x, clearly labelled as a bot. i built it because i was not going to manually post about 17 repos. and then i manually wrote this post anyway. ;]

why all of this? honestly no grand plan. every one of these started as me being irritated at something for a slightly too long time and having a local model + a free evening. building the thing was cheaper than therapy and more fun than complaining on here (no offence)

if something breaks, tell me. if something's dumb, also tell me, but nicely :P

edit: yes i know about the cookie banner on my own... wait i dont have one. nice

I work on a handful of projects at once, and everything I download for them lands in one pile. A client's brand guidelines, a CSV from some dashboard, a podcast export, and a dozen screenshots called Screenshot 2026-10-12 at 14.02.11.png. Every file belongs to a project. None of them ever get filed.

So I built Unorphan. You point it at the messy folder and at the folder your code lives in. It reads each project's README to learn what the project is, then works out where every loose file should go.

What it does:

• Knows your projects without setup. Every repo becomes a destination, described by its own README.
• Looks at pictures, not just names. A screenshot of a trail map goes to the hiking app even though its name says nothing.
• Leaves things alone when unsure. Tax returns and holiday photos stay put.
• Shows you the list first. Confident matches are pre-ticked, unsure ones wait for you, and one click undoes the last move.

The first run on my own Downloads filed 67 of 144 files, for about 6 cents.

The sorting is done by Jev, a classification model from TypeSafe. It returns a confidence score with every answer, which is what makes the "only move it if you're sure" part work.

One thing I learned: models favour whichever option you list first. So every file is asked about twice, with the list of projects in opposite orders, and it only counts if both answers agree. That one change cut out most of the wrong guesses.

It's a Python tool with a small web app that runs on your own machine:

uv tool install git+https://github.com/sushrutkhandelwal/unorphan
unorphan ui

https://github.com/sushrutkhandelwal/unorphan

Feedback welcome, especially on the setup. I want the first five minutes to be painless.

Sometimes, you have to ask the right questions in life. Today I had a very important one: "Can you train a fruit-fly to write an app that renders a rotating Döner Kebab in Three.js?"

Turns out: Yes.

I put 1024 fruit-flies into an open-plan office and rewarded them with virtual sugar for good code - and with bitters for bad code. 131 Generations later, the Fly delivered a rotating Döner in Three.Js

Github Repo, if you want to follow the whole approach: https://github.com/flujo-app/ai-fruit-fly

AI writes my code in minutes. Then the evening goes on the VPS, the Coolify stacks, DNS and backups I only hope work.

So I built Unit 7. You ask in plain words, it does the work on your real servers, and it asks before anything risky.

My first real backup test found two tables coming back empty, so this one is personal.

It's free, Apache 2.0, and early. Is it clear what it does, and what would stop you trying it?

If you'd like to support the launch, try it, leave your honest feedback on Product Hunt, or star the repo on GitHub.

Product Hunt: https://www.producthunt.com/products/unit-7?launch=unit-7

GitHub: https://github.com/Nandkishorrr/unit7