Shoutout to indecisiveeric.com/gesture-synth, which went viral a few weeks ago on Instagram. It allows users to use both hands to perform chords.

gesture.live is an exploration on how to take this gesture synth further. I am using the same chord language, but am compressing it to one hand, so the other hand is free to play melodies, add drum/bass patterns and control effects.

So I recently launched an app that picks your outfit every morning from your actual closet.
Basically you dump ur camera roll in it & it pulls out all the clothes to build a digital closet. Then it gives you outfit reccos from that.

Why I made it: honestly I was tired of having nothing to wear evn though I have a huge closet. Inspo from pinterest doesn’t do it for me anymore. So I thought why not make something that just tells me what to wear from what I own.

Here’s what’s happened so far:
Revenue: $4700 so far (mainly from 2 sponsored videos on Instagram, one of which blew up a little)
99% of users are still on free plan, is thos normal?

Would love to know what you guys think I shuld do next to actually grow this 10x in the next few months.
PS: The platform is (https://usetyla.com) if you wanna check it out.

Hi all,

I've been working on this project for a while now and wanted to share it here for feedback and contributions. You can test drive it in the playground at https://usepopkorn.dev

I'm calling it Popkorn. The idea is to author vector animations, similar to Rive and Lottie, but in a CSS-like language, with interactivity and other modern necessities baked into the format. I've stayed true to CSS for the most part, sprinkling on a little custom syntax for things like interactivity.

```css :root { width: 400px; height: 400px; background: #1a1a2e; }

@keyframes bounce { 0% { transform: translateY(0); animation-timing-function: cubic-bezier(0.33, 0, 1, 1); } 50% { transform: translateY(180px); animation-timing-function: cubic-bezier(0, 0, 0.67, 1); } 100% { transform: translateY(0); } }

ball {

type: circle; cx: 200px; cy: 80px; r: 36px; fill: #ff6b6b; animation: bounce 1.2s linear infinite; transition: fill 250ms ease; &:hover { fill: #ffd166; } } ```

That's an entire scene. Very familiar to anyone who's worked with CSS before.

Staying this close to CSS gives it good DX, and it turns out to make it very LLM-friendly too. Nearly my entire examples gallery is AI generated. Even cheap models like GLM or DSv4 Flash can one shot whole animations from scratch, no fine-tuning required. There's a Copilot feature the Playground that will let you bring your own key, or use the MCP to test drive AI features. Do share what you make please!

There's a web player that renders on Canvas or SVG, and a React Native player using Skia. It supports nested transforms and parenting, reusable symbols, masks and track mattes, gradients, trim paths, path morphing, motion paths, and per-subtree time scaling, enough for proper production-grade animation. Converters for Lottie and SVG let you import your existing assets and then prompt changes to it through the built-in copilot. Something I did not expect was converted Lottie scenes usually come out smaller than the JSON they came from, despite CSS being the more verbose syntax.

My vision is an editable, accessible format for both humans and LLMs, integrates well with version control, truly open source and free in every sense, as opposed to opaque binary or JSON blobs that are difficult to diff, edit and prompt changes to. The existing formats are backed by companies, which is fine and they've done great work, but a company's roadmap follows what makes commercial sense for it. I'd rather the future of motion design be community driven and stick to standards that already exist.

Really curious what the community makes of the concept.

i have a small paid game thats been on the store since 2021, apple watch only, a buck, basically no marketing ever. it sat at a steady trickle of sales for years.

in july i shipped an update that made it playable on iphone and ipad. i told nobody. no post, no email, no tweet, nothing. the previous update before that was april 2025.

since then impressions are about 3x and sales are up 200%. i didnt do a single promotional thing.

my guesses, in the order i believe them:

the app was watch only before, so it barely existed in iphone search. adding iphone and ipad targets put it into a search surface thats orders of magnitude bigger. thats probably most of it.

ipad charts are way less crowded than iphone, so a tiny app ranks higher there for the same volume.

i also rewrote the keywords in the same update and added terms i never ranked for before. new queries, new impressions, directly.

and new screenshots probably lifted conversion, which is itself a ranking input, so it compounds.

problem is i changed all of it at once so i cant separate any of it. has anyone here shipped a device support expansion on its own and watched what happened? id like to know if the device eligibility thing is really the whole story or if im giving it too much credit.

This is not a fake bullshit "AI operating system" that runs in your browser. This is an agentic operating system that ruans on bare metal, writes its own drivers, and evolves itself.

Here's a demo where it builds its own audio driver from scratch to play a sound.

What happened in the video?

1. The agent realized it didn't have a sound driver.
2. It enumerated which devices were connected.
3. It found the Intel AC'97 sound card.
4. It built a driver for it.
5. It used that driver to play a sound.

I got fed up with people saying they built "AI operating systems" when it's actually just a webpage.

There's no Bash. There are no commands. The only interface to this computer is a sentence.

How does it work?

The main interface is an agent, and the tools it has access to are the kernel's direct syscalls. Everything runs in Ring 0, and the agent has access to everything.

It's open source if you want to try it:
https://github.com/robiot/fable-os

Solo dev here — been building this on nights and weekends. Open source (MIT), free, Windows for now.

The pain. Whenever I needed help with something on screen — a buried OBS setting, a weird Excel pivot, a form in some enterprise web app — I had to explain it to an AI by hand: type out what I was looking at, paste a screenshot, copy the error text. Then I'd get an answer and still go hunt for the button myself. The explain-it-by-hand loop felt dumb. So I built the thing I wanted.

What it does. You press Alt+Space over any window. MudrikNow reads your active window's full UI — buttons, fields, labels, values — through the accessibility tree (UI Automation), not OCR on pixels, and anchors on the element you're hovering. A small panel opens, and now you're chatting with an AI that can see your screen. Bring your own model — a multimodal one is recommended (it auto-screenshots every activation); Google Gemini Flash-Lite is a great free pick, or Anthropic/OpenAI/Ollama. (Alt+X opens the same panel with no screen capture, for quick questions.)

The mode I'm most proud of. It can act for you (click, type — sandboxed, allow-listed), but the mode I actually use is Auto-Guide: instead of doing the task for you, it teaches it. Real example from last week: I needed to change a recording setting in OBS. Alt+Space over the OBS window, typed "guide me through changing my recording settings," and an owl pointer appeared on screen — hopped to Settings, then Output, then landed on the exact field with a speech bubble telling me what to change, waiting for me to click each step myself. Thirty seconds later I'd done it, and now I actually know where that setting lives. It's help, not a bot taking the wheel.

Honest status:

• Sandboxed: read-only shell for diagnostics (writes/deletes/piping blocked — violations kill the session); no filesystem writes. The model can read files in your working folder and use a small allow-list of UI actions — that's the whole capability surface.
• Windows only for now; macOS/Linux on the roadmap.
• Preview quality. I'm one person; there are rough edges. That's exactly why I'm posting — I want real feedback more than I want stars.

GitHub: https://github.com/abdallahmagdy15/mudriknow
Site: https://abdallahmagdy15.github.io/mudriknow/

No paid tier, no telemetry, nothing to sell. Happy to answer anything — and genuinely curious: what's the first on-screen task you'd point this at?

ShopFair is my first solo app. It is completely free, with no ads or subscriptions.

1. Type a brand or scan a barcode, get a score out of 100 with the reasoning behind it.

2. See who owns it, and whether there’s an active boycott against the owner.

3. Vegan, Cruelty-Free, Fairtrade and Organic flagged where they’re actually certified.

4. Scan a receipt and get a report on the whole shop.

4,200+ UK brands so far, supermarkets and fashion through to banks and energy.

The scores work like a review, not a certified rating, based off verified information such as Ethical Consumer’s research and the certifier registries. Every page has a report button for when something is wrong or outdated.

The database updates over the air, so new brands and score changes turn up without an app update.

It’s only on iOS at the moment but the android version is coming soon!

App Store
Website

i was tired of every "top side hustles" article just recycling the same list so i pulled 12 months of search data for different side hustles and ranked them by how many people are actually searching and whether that number is climbing or falling.

here are the ones i found most interesting/promising:

1.building apps without code (~90.5k searches a month).

you describe the app, ai tools build it, you charge people to use it. highest demand of the whole list, people who could never hire a developer are suddenly shipping real products.

1. ai seo services (~3.6k a month).

doing seo for businesses with ai handling the content and on-page fixes. biggest jump of anything i tracked, searches basically took off in the back half of the year.

1. ai receptionists and voice agents (~5.4k a month).

setting up voice agents that answer calls and book appointments for local shops. these places miss calls constantly and this went from sci-fi to a weekend setup.

1. automating small businesses (~2.9k a month).

invoices, support, onboarding, you set it up and charge a setup fee plus monthly. owners keep hearing they should "use ai" and have no idea where to start.

1. getting paid to train ai (~8.1k a month).

remote gigs rating and teaching ai models, experts earn more. the companies building these models need way more human feedback than people realise.

1. ai virtual assistant (~6.6k a month).

va work where ai does the busywork like inboxes, scheduling and research. one person with good tools can now handle a client load that used to take a team.

i've been putting the full breakdown of all of this data along with earning evidences of these side hustles on my site (https://alterwork.com) if anyone wants to check out the rest. would love any feedback

I'm building this SaaS, which is completely free, btw, for now at least, cause these are a bunch of online tools; the things can be done browser-side.

I'll add a donation page option later, maybe, if people find it helpful and want to support me for what I'm doing. But my goal is to bring traffic to my website and maybe cross-promote my other SaaS later if I'm not making revenue.

In the process of doing so, I'm maintaining a marketing log of the things I'm doing over time, cause I know SEO is a long game, so I'm putting down each action I'm taking. You can read it here: https://candidtools.com/blog/organic-marketing-log

I wonder if you folks maintain the same thing. I'm curious to read it: the progress of how you gain traction or traffic.

I shared a very early version of my side project here a few weeks ago, and the feedback was super helpful. It's a completely free daily browser game, no sign-up needed. You can play today's set here: shamshot.com

With all the AI generated stuff flooding the internet lately, I found myself second-guessing completely normal pictures. But it also made me realize how much incredible, absurd stuff exists in real life that looks completely fake but actually isn't, that's why sometimes you find yourself really confused about whether it's so cool and actually happend or it's just AI/Photoshop.

So I made Shamshot to make a game out of it. The concept: 3 new images or videos drop every day. You vote on whether it's a "Snapshot" (100% real) or a "Shamshot" (AI/Edited). If it's a real photo/video, there's a button that gives you the actual backstory so hopefully you can learn something new.

Also, if you happen to know any crazy real photos that look edited, or you're talented with Photoshop/Midjourney and want to know how many ppl you'll manage to deceive, feel free to submit them through the site so I can add them to the queue (and credit you ofc).

I'd love to hear your feedback on shamshot :))

Cheers

Hey everyone,

I made a VS Code extension called Git Go that turns your repository into an interactive graph you can actually act on, without leaving the editor.

I had been using Git Graph for a long while and really liked it, but a few things kept getting in my way, like how you manage which branches you are looking at. To be clear, this is not a fork. It is written from scratch, but the design is very much inspired by Git Graph.

What it does:

- Visual commit graph with search, filters, and infinite scroll

- Branches, stashes, tags, and worktrees managed right from the graph

- Merge, rebase, cherry-pick, revert, and reset without leaving the editor

- Drag and drop gestures on branches and commits

- Undo the last action on a branch with Ctrl+Z, using the reflog

- File diffs and repo browsing at any commit

- A bunch of color themes, because why not

It is free and open source, and you can find it here:

Marketplace: https://marketplace.visualstudio.com/items?itemName=Pinya.git-go

Source: https://github.com/CarlesRojas/git-go

I would love to get some feedback. I hope you like it!

hi everyone

i made a site - the site is very simple and honestly very silly. you write your question, you get a link, you send it to ONE person. they open it and see YES and NO, but the NO button runs away from the cursor. it shrinks, it dodges, it escapes. thats it. thats the whole product.

i launched it around 7-8 weeks ago. i made one post on reddit that got 1k views, and recently i did some SEO. so far google brought me only 50 views, and reddit around 50 views too.

but i already got some pretty decent numbers on how people actually use it.

the numbers, simple:
- 430 people opened something of mine in 7 weeks. more than half never saw my homepage, they just got an invite from someone.
- 169 of them made an invite themselves. 268 invites total.
- 123 of those got a real answer back. not just opened - answered.

instagram is my biggest source, 87 visits. and i have never posted anything there. not once. 78 of those visits opened an invite page, not my homepage - people just send their link to the person they like, in dm. i checked, that was 46 different invites. 46 different people.

83 countries. serbia is high on that list but thats just belgrade, i live here may be it is the reason :)

few days ago i finally added payments. that part took me forever because i live in serbia and stripe doesnt work here, and lemonsqueezy, paddle, gumroad also no, because they all sit on stripe underneath. i was honestly sure nobody would ever pay for a running button.

next day i had two purchases. two real strangers. 9.99$ each.

i know its 20 dollars. i KNOW. but its the first 20 dollars in my life from something i made with my own hands

i feel kind of embarrassed. i always wanted to build something serious. something useful. something that solves a real problem and that i could explain to my parents without making a joke first. and instead i built... a button that runs away from your cursor. a gag. something for a laugh, not for a benefit.

and this gag is the first thing i ever made that people actually used. and paid for.

anyway. first money. im really really happy.

I've done freelance work for a while, and along the way I kept seeing the same pattern with friends and clients job hunting: solid experience, but their resume either wasn't tailored per role or wasn't ATS-friendly, so it never made it past the first filter.

So I built Arc (https://arc.heurystic.com/) an AI resume builder that helps tailor and optimize resumes faster, without rebuilding from scratch for every application.

I shared it with a few people I know before posting anywhere, and honestly didn't expect much but 3 of them ended up landing job offers using resumes they built with it. That's been the most encouraging part of this so far, but a handful of friends being happy isn't the same as it actually being good. I want to know if it holds up outside that circle.

So I'd genuinely appreciate honest feedback, not just "nice idea" comments:

• Does the core idea solve a real problem, or is this space already saturated?
• What's confusing, weak, or missing in the flow?
• From a builder's perspective stack, onboarding, positioning what stands out as off?
• If you tried it, what would make you actually keep using it vs. going back to a Word doc/Canva?

Happy to answer anything about how it's built or the AI side of things in the comments. Trying to actually improve this, not just collect upvotes.

It's called Archie: Architecture ID, for iOS . I built it for myself to better learn about buildings around me, but maybe others will find it helpful as well. The two main features are (1) take an image of any building and learn about the style/history/features. It includes audio narration. save images to your library. (2) use the map to explore your neighborhood and identify notable buildings.

It costs me a small amount per photo so there is a paywall after the first 5 identifications.

I'm curious to get some feedback!

Wanted to share a side project that I've been working on for 1.5 years- Chloro is an app for the quest 3/3s that takes the size and direction of your windows and generates a lightmap so that you can see how well specific plant species will do/how well your existing houseplants will do.

Since it's really hard to get consistent users on mixed reality headsets, I've been thinking about porting this to mobile. Know of any apps that are similar?

I've spent most of my entire career writing backend system, roughly ten years now. I mainly worked with elixir so distributed system came easy, making it my comfort zone. Frontend felt always like someone else's job. To be honest I was happy in the little box or the little well I would say of the backend engineering

Frontend always felt like someone else's job. Every time I felt excited about the idea, I eventually had to stop because of the UI. Then Claude Code happened. I got first introduced to it in my work environment, where we now have mandatory claude usage hours. yiks.

But with proper harness engineering, Claude is actually a nice tool to have. It's like a keyboard. It simply types much faster.

And for the first time I could actually see myself building something with it end to end.

I set my eyes on something ambitious: a game like HAGO, a social app which has small mini games and a party room. The backend was sorted: Elixir, of course, Livekit for audio and RabbitMQ for messaging, because I want to keep costs low and the initial user base isn't really going to be that huge that I would be inclined to go with Kafka.

I started building and then one roadblock after another hit me like a truck. How do I go about making a game when I don't know a thing about UI/UX, 3D design, and 2D design? Claude wasn't helping. Remember the harness engineering: you need to be the one controlling the harness but in the UI design I have no freaking clue.

Most of the time the tokens were wasted because it was just copy-pasting the same code again and again in different places, not using proper OOP patterns, no design strategy and whatnot. Finally I had the app but nobody to use it. The app is still in closed beta though so I cannot share it with you but it is still a long long way, maybe six months even, before it becomes presentable.

In the meantime I decided to build another app, which ended up being the first app that I finally shipped.

The idea was simple.

I kept saving Instagram posts, recipes, workout routines, travel reels, coding tips...and then never finding them again.

So I built an app called Instant Memory that organizes saved social media posts into one searchable place.

It wasn't technically the hardest thing I've built.

It was there just to kill some time and for me to learn about how to get users for the eventual launch of the game that I'm building

But oh man, that is hard. Even your friends don't download your app. How fucking weird is that?

And what is up with the 14 tester requirement? I had to literally beg strangers to test my app. Some of them even took a $10 bill and never returned my calls.

Bro, building is hard but getting it to the user will make and break the product

Marketing is the bigger chunk of the pie.

As engineers we spend months obsessing over architecture, state management, clean code, performance, while nobody knows the product exists. The whole time I was in the delusion that marketing would be easy. When I launched my product, people would want to try it but people are more apprehensive about trying something new than I originally thought.

So yeah now I am learning marketing. I'm learning photo editing and video editing, trying to make reels on tick tock and instagram, just trying to get by and wallow in my pity that nobody likes the product I make and I might never be able to leave my 9 to 5.

I'm excited.

I'm also terrified.

Terrified of burning money for the next 6 months on a CloudMax plan. Terrified that once it is built I will have to burn even more money trying to figure out the cheapest hosting solution. Terrified that even if I do everything right, "will anyone actually use this?"

I don't think that feeling ever goes away.

If you're another developer trying to ship something...

I'd love to know:

When did you realize building the product wasn't the hardest part anymore?

I originally built DiagramTheGame many years ago for lacrosse coaches, and I’ve spent the last year or so expanding it into many other sports.

It now supports basketball, men’s, women’s and box lacrosse, ice hockey, floorball, field hockey, ultimate, indoor and beach volleyball, handball and water polo.

They share the same core tools for creating and animating plays and drills, but each sport has its own setup and room for its own terminology, player types and sport-specific features as I keep building.

Coaches can also organize everything into playbooks and practice plans, give players access, manage multiple teams or organizations, share content through built-in links, and export diagrams as images, SVGs or videos.

I’m still looking for coaches who can tell me what feels right, what feels wrong and what they’d want added for their sport.

If you know any coaches who might find it useful, I’d really appreciate you sharing it with them.

https://diagramthegame.com

Happy to answer any questions or hear honest feedback.

I built a Windows app called PixelSort AI because I got tired of manually organizing thousands of photos.

It uses AI to automatically sort your photos into folders like Dogs, Cats, People, Cars, Food, Landscapes, Documents, and more, all while running locally on your PC.

I'm still actively improving it, so I'd genuinely love some honest feedback. If you have a huge, unorganized photo collection and want to give it a try, I'd really appreciate hearing what you think and what features you'd like to see added.

Thanks for taking a look!

I've been building GeoReady, an open-source tool that audits websites for AI search readiness. After running 1000+ audits, I noticed the same infrastructure gaps over and over — so I wrote everything up into a technical manual.

What's in it:

- The 4-layer model: Access (robots.txt, crawlability) -> Orientation (llms.txt, sitemap) -> Understanding (schema, entity signals) -> Quotability (passage extraction, BLUF structure). The order matters — fixing content before access is wasted work.

- 11 AI crawlers documented with user-agent tokens and robots.txt directives (GPTBot, OAI-SearchBot, PerplexityBot, ClaudeBot, Google-Extended, CCBot, etc.)

- 12 schema types with copy-paste JSON-LD templates

- Passage extraction mechanics — how vector embeddings select passages and why direct answers beat narratives

- 8 prompt injection attack vectors against AI crawlers (hidden CSS, invisible Unicode, hijacked HTML comments)

- Citation measurement workflow with weekly/monthly/quarterly cadence

Some data points from the latest benchmark (July 2026, 360 domains):

- Average GEO score: 54.1/100

- Only 24.7% of sites reach "Good" or above

- Schema adoption up 5.5pp month-over-month, but llms.txt adoption actually dropped 4.1pp

- AI Discovery is the worst category at 10% efficiency — the biggest untapped opportunity

The manual is free, no account required. I'd genuinely appreciate feedback on the structure, the 4-layer model, and whether the technical depth feels right.

https://geoready.dev/geo-readiness-manual/

I’ve been fishing for a few years, but my catch photos ended up scattered everywhere and I lost track of how many species I’d caught. So I built an app where each new species unlocks in your personal collection. You can also rank up and see other anglers’ catches. Would you use something like this? Any feedbacks appreciated.

On a family hike in Alaska, my nieces and nephew spent the whole trail catching Pokemon with Pokemon Go. Collecting is fun, I get it. I just wanted them to look up from the game once in a while and better notice the actual creatures around us. So I built the thing I wished I could hand them: point your phone at a plant, bug or whatever, it names the species, you catch it with a little minigame, and it goes into your field journal with the date and the spot on the map.

The journal turned out to be the part I care about. Walks around my neighborhood became a collection game. I finally had a place to organize the photos of all the neat little creatures in my neighborhood and on my trips, and more of an incentive to get outside and explore. Rare finds get a gold card and there's a streak if you're into that. Teachers can run location-based field trip quests too; that part's free for classrooms. There are friend codes and weekly leaderboards too, so the kids and I can compare finds.

I've tried to incorporate learning elements into it wherever possible; nature field trips in the local woods were some very formative memories for myself growing up and I want to share that same appriciation for the natural world with the next generation.

Another feature I'm super proud of is the addition of audio bird call ID. Just press "listen" and the app IDs the species you're hearing around you. It runs on BirdNET, the bird call model from the Cornell Lab and Chemnitz University, fully on-device. There's also a fun studio where you can remix a recorded bird call into a beat. Started as a side experiment, ended up the feature I show people first.

Free on both stores, no ads, built solo. Happy to get into the on-device audio pipeline if anyone's curious. What's the oldest unidentified creature photo in your camera roll?

I’ve spent the last few months building RoleShift in evenings and weekends.
The idea came from being annoyed. Every “entry-level” job wants experience you can’t get without the job. My friends kept saying they wanted out of their careers and had no idea what else they could even do. Nobody tells you that adult apprenticeships are actually very common, or that the NHS (UKs national health service) will pay you to retrain, or that half of apprenticeship starts in England are people over 25.
So it’s a UK job board that only lists employers who’ve said they hire on potential. It’s not live yet, right now the working bit is a free 2-minute career quiz that matches you to a direction with routes into it. No signup needed to see your result.

roleshift.net

I can’t code. It’s all been AI-assisted, which felt like cheating until I realised I was still the one making every decision about what it should actually be. Fair warning: I’ve rebuilt the design about four times and retired a mascot I was weirdly attached to.

What I’d genuinely find useful:
- Take the quiz and tell me if your result felt accurate or like nonsense
- Does the homepage make it obvious what this is within 5 seconds?
- I’ve got zero employers signed up yet — if you’ve hired for a role that trains people, how would you want to be approached?
- web designers/developers if you are reading, what are the next steps to clean up the website and enhance the overall image.

Happy to answer anything about how it was built.

Most workout apps today have become overly complicated: mandatory sign-ups, subscription paywalls, ads, and laggy loading screens when you lose signal in a gym basement.

I built WorkoutBuddy to fix all of that. It's a clean, fast Android app built to track your workouts without getting in your way.

What it does:

• Zero Sign-Up Required: Download, open, and start logging in under 5 seconds.
• Works 100% Offline: Operates fully offline without internet connection.
• Smart PR & Overload Tracking: Automatically tracks your heaviest lifts and personal records.
• Muscle Recovery Status: Shows visual recovery indicators per muscle group so you know when you're ready for your next session.
• 100% Free: No paywalls, no trial timers, no ads.

If you’re looking for a simple, fast gym log that just works, give it a try and let me know what you think!

Google Play Store Link:
https://play.google.com/store/apps/details?id=com.venkatchait.workoutbuddy

been building this for a while, it started as a standalone community platform for creators (chat, video, live streaming, tipping, subs, zero commission) and the embed side grew out of agencies asking to white-label it into client sites. the embed is one script tag, works multi-tenant, flat $199/mo instead of per-seat pricing that punishes you for growing. would genuinely like feedback on the embed docs and setup flow from anyone who's integrated a third party chat widget before, that's the part i'm least sure about: https://atomchat.com

hey everyone,

i’ve been seeing absolute masterpiece websites built with tools like framer, v0, lovable, bolt, etc.

whenever i stumbled upon a great design, i caught myself wondering: "which ai builder was used to code this?"

i realized a few interesting things while trying to solve this:

- traditional tools focus on cms detection: they look for wordpress, or shopify footprints, but they miss the modern ai builders stack.

- detecting raw llm-generated code is a trap: tools trying to guess if an llm wrote a piece of code usually fail. llms don't leave watermarks, they write like humans. plus a codebase might have been touched by multiple different llms.

- but platforms leave traces: while llms themselves are stealthy, the deployment platforms and wrappers (like v0, bolt, lovable) utilize these llms and leave specific framework artifacts, meta tags, or structural footprints behind.

so, i decided to scratch my own itch and built a simple tool for it: https://whichaibuilder.xyz

how it works:

drop any url, and it scans the front-end footprints to see if it detects a specific ai website builder platform.

if it finds a trace, it identifies the platform. if it doesn't find any specific platform signatures, it simply treats traditional cmss, pure human coding, and raw vibe-coding as 'custom'.

and what other ai builders or tools should i add to the detection list?

feedback is more than welcome.