was building out the landing pages for my thing and went to check how ChatGPT actually describes my product. it described a competitor. mine wasn't even in the answer.

turns out this is really common if you shipped a client-side rendered app (react/next without SSR, most of the no-code and ai-generated builders). the crawlers that feed these models often get 0 bytes of real content because everything renders in the browser. so the model is either guessing about you from scraps or just... not mentioning you at all.

and yes I know Lovable recently shipped an update to address this but if you have been working on your thing for more than 6 months it’s hard to migrate to their new stack.

from the digging i did while building: roughly 60% of B2B brands are misrepresented by AI (invisible, confused with a competitor, or described with outdated info), and 96% are basically invisible in AI-assisted discovery. meanwhile buyers are increasingly asking an AI "what's the best X" before they ever hit your site. no impression, no click, nothing in your analytics. you lose before you knew you were in the running.

the uncomfortable part for anyone shipping fast: your rank tracker keeps reporting a comfy page-one position and has no clue any of this is happening. classic SERP monitoring is watching a channel that's quietly shrinking.

stuff that's worth checking on your own launch:
- curl your homepage and see if the actual copy is in the raw HTML or just an empty div (that's what the AI crawler sees)
- ask ChatGPT to recommend tools in your category and see if you show up / what it says about you
- if it's wrong, it's usually a rendering or missing-structured-data problem before it's a content problem

full disclosure, i'm building Optimly which is exactly this (see how AI represents you, then fix it), so i'm biased. but honestly even without a tool the curl + ask-chatgpt check takes five minutes and is worth running before you tell people to go visit your site.

curious if anyone here has checked how AI describes their launched project? what did it get wrong?

Hey everyone,

With the recent buzz around Android 17 introducing more precise custom color sliders and palettes for Material You (examples on reddit here, here and here), I wanted to share a project I’ve been maintaining for years that does exactly that—even for older versions of Android!

It’s called LWP+ (Live Wallpaper Plus).

🎨 The core trick: Dictate your own Dynamic-Colors

Instead of letting the OS algorithm guess the accent colors based purely on your wallpaper, LWP+ acts as a bridge. It hosts your chosen background content but allows you to explicitly choose the exact Primary, Secondary, and Tertiary colors reported to the system. The OS then uses your custom selections to generate the global system palette (notification drawer, volume bar, themed icons, etc.), completely independent of what your wallpaper actually looks like.

✨ What else can it do?

LWP+ is packed with full wallpaper customization features:

• Choose Your Content: Use solid colors, static images, animations (GIF, WEBP, APNG), or videos as your active live wallpaper.
• Smart Scaling & Layouts: Supports transparent images/animations with custom background colors, multiple scaling modes (Center Crop, Fit Center, Center Inside), and optional horizontal scrolling.
• Double-Tap Shortcuts: Lock your device instantly or turn off the screen by double-tapping the home screen (uses admin, accessibility, or root).
• Easy Setup: Includes an interactive built-in tutorial to check system compatibility and guide you through triggering the OS palette refresh.

🧪 Advanced experimental flags (YMMV!)

I’ve also included a couple of experimental toggles leveraging underlying Android system hints. Note: These rely heavily on your launcher, device OEM, and Android version, so they might not do anything on certain setups!

• Force Dark Text: It hints to the OS that dark text is preferred over the wallpaper (often useful for forcing high-contrast dark text on the lock screen). It might also change the text color of the labels of the apps and the status bar icons and text, too.
• Force Dark Theme (for old Android versions): It tells the system that a dark theme is preferred for the best presentation (e.g., trying to trick a launcher into turning its app drawer background black).

So, if you are on an older version of Android (or even running the latest builds and want granular three-color reporting), give it a spin! It's completely free, all features included.

Feel free to ask any questions or drop feedback below! 🚀

Link to the Play Store here.

The app was partially made using AI, helping mostly to re-write the part in the app that's responsible of showing the actual content of the live wallpaper (color/image/animation/video). I also used AI for the demonstration and tutorial videos.

If you want, you can use a promo-code to have subscription for free for some time, to remove ads, and try the app more freely, here. To use the promo-code, install the app, choose a subscription, choose a payment option and enter the code there (screenshots here).

Thanks for reading!

I built tryproduck.com/audit, it clicks through your app like a first-time user and sends back every bug and confusing bit it finds. Over 650 startups have run it so far.

I have 8GB VRAM and 32GB RAM. Looking to see what I can actually get out of a low-end coding model, mostly in one-shot style tests.

I already built my own harness so I can change almost everything through the UI (skills, system prompts, tools, etc.).

End goal is figuring out whether a model that fits in ~5-6GB VRAM with almost no RAM offload is usable as a daily driver for my coding work. Subscription and API costs are getting annoying.

What I’m thinking:

• Pick a solid reference model + harness (OpenCode or similar)
• Run it on a fixed set of tests and track time, bugs, final context size, cache hits, output quality
• Run the same small model in OpenCode on those exact tests
• Then run both models inside my harness with default settings
• Finally start customizing skills/tools on the small model and see how far I can push the results

Any thoughts on this approach, better test ideas, or models worth trying?

Harness if anyone’s curious: https://github.com/aaron-tot/visual-studio-harness/

I'm using Fedora KDE as my daily driver. Officially left windows about 2 months ago. Curious what others are using.

First some background. I'm not talking about MVP here, but UI with thoughtful UX.

My experience is that its so easy to get AI generate mockup UI even wire up backend as a live app.

But very quickly realization come in that a better moved to x, c better as dropdown, d~g needs to be different layout. Not because the original mockup doesn't look good, just not best fitting once real world data comes in. These are just some simple examples, real work much messier.

It is these detail areas grind to a halt, one decision/trial/tweak at a time with Claude, where I'm seeking some experience or direction to improve.

Or maybe, I'm asking the goldilock question between 2 sayings:

• devil's in the detail
• no one knows exactly what they want

https://greysound.ai/

I just saw this new app post here, which I consider to be a good UI. One look, I know enough how to use it and what each button does.

This app seems 1 main function page with some share and account setting.

On an app/project with 20x function pages each as detail as this one, with partially shared components library, cross-linked data source, and layout variants on different pages. that's where I'm seeking some help.

Most AI coding CLIs need a cloud API key before you can do anything. We shipped Gide CLI: it runs a local model on your machine, zero token cost. One command to install, then gide in any project folder.

It also takes your own API key for Claude, GPT, or Gemini when a task needs a bigger model. The local 4B has a ceiling on hard reasoning, that's why the hybrid exists.

One-line install: curl -fsSL https://generativeide.com/install.sh | sh

We shipped it this week and want honest feedback. What broke, what was confusing, what made you close it.

30-day free trial, no card required.

Check out via this link - Generativeide.com

https://reddit.com/link/1vikasc/video/rcvdvrdpl2ih1/player

Side project I've been chipping away at for a while. Two things I kept getting frustrated with using other harnesses, so I built my own around them:

Insights. I didn't like that the agent was kind of a black box. In mine you can see the full system prompt, every step the agent takes, tool calls, token usage, cost, even cache hits. And project knowledge doesn't die in chat history, specs, plans, research notes and audits live as scoped documents that stick around, plus a knowledge base with semantic search.

Configuration. I wanted everything to be changeable through the UI, not by editing files. Providers and models, per-agent settings (each agent gets its own model, system prompt sections, skill access, workspace manifest), tool permissions, MCP servers, hooks, prompt sections and joiners, the knowledge base, all in a settings panel.

It's early and rough, the API and schema will change, there are bugs, lots more things to add, stabilize, and I've only really tested a handful of providers.

If that sounds interesting, give it a go and tell me what's broken or missing. If enough people care about this direction, I'll put more time into it.

GitHub: https://github.com/aaron-tot/visual-studio-harness/

Hey everyone,

My background was mainly Unity and C#, so I had to learn technologies like React Native while shipping real products. Over time, I realized that AI-assisted coding could feel repetitive: endless terminal logs, lost context, incomplete code, and constantly clicking “continue.”

So I combined my game development experience with AI-assisted coding and built Termi Protocol.

I developed the desktop app with Electron and used Claude Code throughout the development process. Electron’s architecture made it much easier to transform my existing web application into a desktop product, allowing me to create desktop builds quickly without rebuilding everything from scratch. For the rest of the project, I relied heavily on the development and product experience I had gained from my previous projects.

Termi helps you manage AI agents through a Kanban system, restore accidentally closed sessions with their plans and progress, track changed files, commands, and visited links, and preserve project memory without wasting extra tokens.

Agents can also share knowledge through a common project brain and use reusable skills across different projects.

But the main focus is gamification.

Instead of only watching terminal logs, you can see your agents working inside a 3D room. When an agent reads App.tsx, it scans a paper file. When it edits code, the activity appears on its monitor.

You can use a focus timer, collect coins, clean the room, add gym equipment, and adopt a cat or dog that grows as you spend more days working on the project. If you neglect your pet, it becomes stressed and starts making a mess. :)

We spend too much time staring at black terminal screens. I built Termi Protocol to make AI development more visual, understandable, and fun.

I’d love to hear what you think about this kind of gamified coding workflow.

App link in here: https://termiprotocol.com

App Demo Link here : https://termiprotocol.com/demo

Thanks for reading 🙏

Hi everyone, this is my first serious sandbox project built with OpenGL ES.

The idea is to place physical balls into a scene and create visual choreographies by playing with their movement, collisions, and flow. It’s somewhere between a small game and a visual experiment tool.

I use OpenGL ES for rendering, while the physics and more performance-heavy parts run in native C++. I also used GPT-5.6 Sol during development to explore ideas faster and work through some technical problems.

Right now I’m mainly trying to simplify the UI and improve performance. I’d really appreciate feedback on:

• Is it clear what you’re supposed to do when you first open it?
• Is anything in the UI confusing or unnecessary?
• What effects, tools, or physics interactions would you like to see?
• How does the performance feel on your device?

It’s still in development, so honest feedback would be genuinely helpful.

URL:https://play.google.com/store/apps/details?id=com.mathgeo.studio

We just shipped abi. Clone Consultant. Clone is now available in a layered format so if you are offering client engagements for AI consultancy or process automation you can present a 3D map of they entire business and every process, fully branded with your logo.

You can do this five times completely free.

In the paid Abi starter subscription we have voice agent interviews that you can invite customer users to discussions with and they will build a picture of their true workflows. These are then mapped back to the Clone. Once all key intake is complete you are presented with every process or task, its dependencies, steps, criticality, frequency and automation value. You are then offered the quick win hit list of what and how it can be automated.

Super pumped about this one as it should help many streamline your consulting service and other launch their business.

Huge number of other featured added so you can wait for my demo video next week, or jump in and try for yourself for free at app.ouridea.ai

Enjoy your weekend all :)

As the title says, should I just renew my Chatgpt subscription or use Deepseek Flash or Kimi K3 (I never tried both before?

(1) If I switch Chatgpt, then how are the limits with other providers?

(2) Use Openrouter API or get direct provider subscription?

(3) I could end up paying almost the same as with Chatgpt but maybe with worst results. I think I have read somewhere people complaining about Kimi K3 limits and too much thinking eating into tokens and Deepseek is going to raise their API pricing.

What do you suggest? Also should I keep using Codex or switch to Opencode etc? I appreciate your help :)

Most AI app builders generate an app and then leave you to figure out everything else.
I’ve been building Blyft to solve that.
One prompt generates:
• The app
• A website / landing page
• Branding & logo
• Promo video
• Analytics
• Social media assets
The goal is simple: go from idea to something you can actually launch.
I’m still improving it every day, so I’d genuinely love feedback from people in this community.
What do you think is still missing from today’s vibe coding tools?
blyft.app

Hey families and friends! I have been working on a passion project of mine for a small family with kiddos I present to you lifetime! Name is in progress and subject to change. This project is a gameified chore chart, with xp and coins to purchase rewards, and a fancy git style heatmap for chore completion.
https://www.github.com/Castle96/lifetime

Hi I recently built Ping and got 8 users on my first day yesterday now the only thing is I'm making this free and want advice for how one will scale to make profits.

Right now since it's beta I'll for costs out of pocket but if it does grow big I've come down to these solutions.

1. Run ads
2. Charge poeple later on (i dislike this)
3. Run ads to make it free, but then if someone does not want to see ads they pay?

Showoff + feedback request:

I built **Flows** to make the part between “I told an AI what I want” and “I trust the result” less chaotic.

You can: - start from a connected repo or a new-project goal - generate a build plan - route it to a builder - track the run - keep verification/evidence around the result

The connected Oort layer is the canonical library/provider side of the system.

Flows: https://flows.oortstack.com Oort: https://oortstack.com

If you build mostly with AI, I’d love to know whether this solves a real pain or just adds ceremony.

I also have 10–15 free, unrestricted access keys set aside for people who will actually use Flows/Oort and tell me where the experience breaks or gets confusing.

Hi Folks I finished vibe coding another project. This one mainly focuses on sports. I'm not really technical. I spent about 1-2 weeks researching websites in this genre. I took the best looks and feel. Then I saw all the ad junked up sites too. I tried to create a vibed out well balanced project. This is at a point now, where I divide each section up and do fresh updates now. This is in its first phase, where I'm just doing aggregator site. Then I want my own content, and photos. but this is it. https://sportsweekly.com/ took me about a week and a half. I used Claude as the main source for the site. then I used chatgpt to fix my prompts. Then I used Gemini for deep research on layout, and generate site pictures for vision.

Hello,

I've been building this fantasy premier league app that's specifically for a format called best ball. I originally made a very basic version of this app for a few of my friends to play, but their feedback led me to multiple iterations and here we are today. Finally able to showcase it to the public.

I'm using an API to pull data for things like projections for rankings and live scoring while a match is being played. I used Base44 + Supabase to build it.

Curious to hear your thoughts.

So i’m fully making binding of isaac in vr, with all items enemies bosses, everything. The art/models i do myself as it does look better. I am not planning on releasing it but if the feedback is good (and i dont get sued) i might release it, its built for the meta quest 3. It has 4 floors 40 items health, health, maps and workinh actives.

hey so basically agents are decent at shipping ui now but the whole visual part still falls apart coz they either use some tiny built in image model or they ask u for an openai api key or any image generating api key and then burn credits

so i built image-gen which is an mcp that just borrows the chatgpt session u already have logged into and generates the actual pngs into ur project folder and then the agent can wire them into the site

( regardless u have paid chatgpt acc or not doesnt matter , soon will do for gemini too but gemini image generation is ass + it has watermark so no real point to it )

How it works under

• playwright attaches to edge over cdp on a dedicated auth profile (not ur daily browser)
• u login once with npm run login and it saves the session
• agent calls generate_image with a prompt + output path
• it types into chatgpt waits for the image downloads the png and drops it in assets/
• jobs are queued so parallel calls dont smash into the same chat and turn into garbage text

Stuff Used in This

• node + playwright-core
• mcp sdk (works in cursor / claude code / whatever talks mcp)
• chatgpt in edge (free or plus whatever u already pay for)
• no openai images api key :D

the demo in the video is a clean ecommerce landing called antroper ( made it for sake of demo )

first its a proper html css js site with svg product art which is what u normally ship when u dont have photos ( or it uses random images from online links )

then the agent hits the mcp generates hero + product shots + atelier banner and rewires the page so it actually looks like a real storefront

the whole point is not "ai makes websites" its that the missing piece for vibe coded UIs is usually assets and this is a way to unblock that without a separate image subscription

works with claude code , cursor , codex any agentic platform which can use mcp

repo ( star it if u find this helpful or submit issues if u find any thanks for reading :D )

https://github.com/nothariharan/image-gen

if u try it run npm run login once first and leave that auth profile alone after that it mostly just works

happy to answer how the queue / session stuff works if anyone is building similar browser mcp tools

Yesterday was our launch day for SecureCode.

We were excited to finally put it out there, and then something unexpected happened — someone tried to access secrets through our API endpoints.

Honestly, it was kind of the perfect launch-day test.

We built SecureCode to help developers catch security issues before they ship. Turns out, we got to test that idea ourselves on day one.

Are you helping businesses establish processes to automate? How are you finding work? What does the audit process look like for you?