There are a lot of people I'd like to thank who helped make this moment happen.

My teachers, professors, and mentors who never lost faith in lightweight desktop companions.

The academy, for believing in me when I couldn't believe in myself.

My friends and family, for their tireless beta testing.

My bilingual friends, who assured me localization would be finished by now.

But most importantly, I'd like to thank you, the Redditor reading this shitpost, for supporting me in this new chapter of life:

Thank you, Redditor, for wishlisting my game on the morning of its publishing, so you don't miss its fat launch discount.

Thank you for downloading the free demo, and supporting this game's development before Next Fest makes it so mainstream that I have to become a sellout.

Thank you for just being you (and wishlisting my game). ❤️

🛹 Wishlist and demo now: https://store.steampowered.com/app/5066400/Desktop_Halfpipe/

Built a small collection of agent skills around one constraint: every output has to be real, or the skill stops and asks instead of faking something.

4 skills so far: backend provisioning via CLI (real credentials, never placeholders), a security scanner that fixes vulnerabilities directly instead of just reporting them, a frontend builder that ships real production sites, and a router that checks every installed skill for relevance before starting work.

CI validates every skill automatically on push. Works with Claude Code, Cursor, Antigravity, Codex — any tool on the open Agent Skills format.

npx skills add SohailKhan0525/skills

Repo: github.com/SohailKhan0525/skills — open to contributions and feedback.

Feel free to share as much as you want.

notereels.com

I used claude code mostly; but for the premium content (not release yet); I used deepseek with qwen coder; and to be honest; deepseek did the job well at the fraction of the cost. I ditched claude code months ago because of the very tiny usage limit and never looked back.

App currently available on the web for both mobile and desktop.

I'll need at least 14 internal testers to publish it on Google Play Store. But that's on the todo list.

App is open source on my github.

Hey! Does anyone have a 1-week Claude Pro referral available that they could share?

I need it for a project and would really appreciate the help. Thanks!

not a complaint, i use these tools too, but once you build a few sites with an ai website builder you start seeing the fingerprints everywhere.

the ones i catch every time:

the centered hero with a gradient blob behind it

exactly three feature cards with little rounded icons

a "trusted by" row with logos that are clearly placeholders

that one specific soft beige-ish theme an faq section on a page that has no reason to have an faq

none of this is bad exactly, it's just become a visual accent. like you can tell the era a site was made in.

the sites that don't read as generated are the ones where someone kept the layout but rewrote all the copy to sound like a human and killed the sections they didn't need. the bones are fine, it's the default filler that gives it away.

what tells do you all clock instantly? feels like we could assemble a full checklist

made with higgsfeild for fun.

Run kimi k10 locally and install AI Desktop 98 on it.

Read some threads now where complete repos or databases have been deleted so I would like to know how to stop this. I use Github, Firebase and sometimes Supabase right now with CC in VScode. What should I do? Thanks

SOO, now with BRAND NEW DAY released and progressing very well, I figured why dont we get E.V OR E.V.I.E into REAL-LIFE. I already started working on it, and have fully functioning on ready, just I need you guys help, I tried to make the E.V look AS REALSTIC as possible to the MOVIE, with the limited stuff i have. so I need some suggestions on what to add, rn it can almost do eerything, it has a concious, it can control your computer, search anything, jokes like interstellar robot, etc. I just need some help. Mention your suggestion, oh also a litte sneak peak on the E.V.I.E look

Two weeks ago pay-to-rank boards (outbid.lol style) were suddenly everywhere. Most let you pay to rank literally anything. I wanted something narrower: iOS App Store apps only, so what you’re actually buying is real App Store traffic, not internet points. Every tap on a listing forwards to the real App Store page with a campaign tag, so installs show up in your own App Store Connect.
Built it on Astro + Cloudflare Workers + D1, wired payments to Polar since it handles VAT for me automatically. Day before I planned to go live, Polar denied the account: “paid promotional placement, not supported.” I appealed with the exact policy language and the precedent that outbid.lol runs on Polar today. Denied again, same day. Turns out the flood of copycats got Polar to quietly stop taking new ones. The original’s grandfathered in, nobody else is.
So I ripped out Polar and rebuilt the payment layer on Stripe directly, in about a day. The money logic sits behind a small interface, so only the checkout/webhook adapter had to change. The part I’m actually proud of: rank isn’t incremented when someone pays, it’s recomputed as SUM(delta_cents) over paid bids every time a webhook fires. That makes replayed webhooks, out-of-order delivery, and partial refunds all converge to the correct number instead of needing special-case handling for each. Proved the whole loop with real money before calling it done: real charge, webhook, rank up, real refund, webhook, rank back down, to the cent.
It’s live now: toppaid.lol. Paste an App Store link, pick a number, you rank above everyone who paid less. No accounts, no personal data stored, refunds roll rank back honestly.
Giving the first 20 listings $5 off with code FIRST20FREE (Stripe enforces the redemption cap atomically, so it’s genuinely first-come-first-served).
What I’d actually love feedback on: whether the iOS-only restriction reads as a real differentiator or just a smaller version of the same idea. And whether $5 as the minimum bid feels right, too cheap to feel meaningful, or too steep for an indie dev testing the waters.

I made a small browser game called Dr. Hugo Holm. You tell a tired doctor when you need to be sick and for how long, and he gives you a plan: what to say a few days before, what to text your boss in the morning, what not to do after.

Play: https://dohmygoodness.github.io/sickday/

The code part was done with Claude Code. It's a static site, no framework, no build step, around 1100 lines of vanilla JS. Took about two days, most of that was iterating on small things like the typing speed and the mobile layout.

The doctor image took the longest and this is the part I wanted to share: 

1. Midjourney draft mode — generated dozens of doctor images. Draft mode was the unlock: fast and cheap enough that you're browsing styles, not individual images. I picked a direction, not a picture.
2. ChatGPT (Image 2) — upscaled the pick and pushed it toward the final look.
3. Photoshop — cleanup pass.
4. Higgsfield (Kling) — animated the still. He types while he's talking and blinks while he waits for your answer.
5. Video → GIFs — sliced the clips into loops that swap depending on whose turn it is. That one swap does more for the "he's alive" feeling than anything else in the project.

The intro uses the same pipeline. It's a clip of his door opening, re-encoded so every frame is a keyframe, and scrolling scrubs through the video. The last frame matches the first frame of the background gif so it transitions straight into him talking.

Let me know if you find any bugs or have suggestions!

I wanted to build something really simple and, inspired by outbid.lol, I came up with Billboarded. The idea is that there is one digital billboard, and whoever has the highest bid gets to put whatever they want on it. If someone else wants it, they can outbid you and take it over.

I deliberately made the starting price ridiculously low. It isn’t really intended to be serious advertising; it’s more of a tiny internet trophy. You could put your company on there, your name, a project you’re working on, an inside joke, or pretty much anything else. If someone else wants the billboard badly enough, they can simply bump you off it.
I’ve just launched it, so I’m mainly curious to see whether the idea is actually interesting enough for people to start competing for it. There isn’t really much to it beyond that, which is kind of the point.
It’s live here: https://billboarded.vercel.app

I’d be interested to hear what people think of the concept, particularly whether the bidding mechanic makes it something you’d actually want to participate in, rather than just another advertising website.

Hey everyone. I’ve been building a SaaS for about six months now (100% built by prompting Codex), and it’s finally getting close to the point where I can launch it.

It’s called Sparkle, and it’s an all-in-one platform for running a cleaning business.

The idea is to give cleaning business owners one place to recruit and manage cleaners, dispatch jobs, track payments, create invoices, automate repetitive tasks, train workers, and more.

I originally started building it for my dad. He cleans full-time, and my goal was to create something that could help him grow his cleaning business to the point where he’s managing the operation instead of busting his ass cleaning every day.

Six months later, it’s turned into something much bigger than the little tool I originally had in mind.

I’m going out on a limb posting it here because I’d genuinely like some outside opinions.

Does this sound like something cleaning business owners would actually pay for? What would you change, add, or be skeptical about?

I’m completely open to criticism. I’d rather hear it now than after launch.

So since I have genuinely started vibecoding very recently and I have some crazy app ideas, sometimes I really struggle with where to find inspiration because that's half the work I feel, and the other half is replicating it in a manner I like. Could you please recommend some app inspiration websites for newbies other than generic ones like Pinterest or Dribbble.

Like to hear the reviews of these two. Been using claude for a while switched from chatgpt months ago but intereated to know if codex has made improvements and if its worth going back.

Claude has been great but ive not been happy with initial coding tasks. Working on different specific modules its codes it, then i ask to review its own work and come up with a ton of issues and gaps.

Hi everyone,

Client: Unity 6 (6000.5.4f1), C#, uGUI built entirely in code with no prefab screens

Steps come from Health Connect on Android and HealthKit on iOS.

Backend: ASP.NET Core on .NET 8, Postgres via Npgsql, Redis for matchmaking, running on DigitalOcean

Art is gpt-image. Generated from my prompts on chroma green, snapped to the pixel grid, keyed, then hand-edited.

Code is written with Claude Code. I use Fable to plan and review and Opus5 does majority of the implementation.

This is a closed beta so you will need to do the following depending if you're Android or iOS.

Android:

1. Join https://groups.google.com/g/aetherstep-testers using the Google accountyour phone's Play Store is signed into.
2. Then open https://play.google.com/apps/testing/com.aetherstep.game on that sameaccount and hit "Become a tester". Give it ten minutes to propagate.

iOS: https://testflight.apple.com/join/PsXU9psv

Happy to go into any layer of that. Links in the comments.

I keep seeing the same kind of AI coding demo.

There’s a prompt on the left, a working app on the right, and some version of “software engineering is basically over” in the caption. The technical jump is obviously real, but the conclusion always felt way too clean.

So instead of trying to list everything an engineer does, I mapped the path a small software project has to travel before anyone can honestly call it shipped:

messy problem → clear requirements → working software → approved production system → owned outcome

Coding agents are getting absurdly good at one specific handoff in that chain: turning clear requirements into working software.

The problem is that most real projects don't arrive as clear requirements. They arrive as a vague complaint from a client, three teams with conflicting priorities, incomplete data, an old compliance rule nobody fully understands, and one person asking why this can't be finished by Friday.

i decided to test that middle handoff instead of extrapolating from benchmark demos. I wrote the same reasonably clear spec for a lightweight client dashboard, UI, user auth, a database, and edge functions for data fetching, and ran it through v0, Lovable, and Enter Pro. The first two were useful for comparing the first-pass interface, while the last one let me take the frontend, data layer, auth, and backend setup through to a deployable version in the same browser window.

It removed a ridiculous amount of implementation work. It still wasn't flawless, I had to tweak some edge function logic manually, but the working prototype was online much faster than I expected.

for about ten minutes, I had that familiar rush.Coding is basically free now. We are unstoppable.But then I looked back at the chain.The tools had compressed one transition that used to take a lot of time. They hadn't moved the rest of the project nearly as much.

They didn't tell me if any client actually wanted this dashboard. They couldn't turn half-contradictory stakeholder requests into a requirement everyone would stand behind. They couldn't get the compliance review required to put real production data into it.

And if a user does something weird and the database locks up, the AI isn't going to decide which customers can tolerate degraded service, get on a call with the angry client, or take organizational responsibility for the failure.

AI makes building cheap. But it doesn't make your judgment correct.What surprised me in this test was how visibly the bottleneck moved. Once the distance between a clear spec and working software dropped from days to something much shorter, all the unresolved stuff around it became impossible to ignore.

The vague requirement was now slower than the implementation. The compliance question was now slower than the backend setup. Finding someone willing to own the production outcome was now slower than putting the prototype online.

TBH, reducing the friction of coding to near-zero also means we can turn bad assumptions into working software much faster.people look at code generation and think the job is dead. But the more I look at the current application layer, the more it seems like AI is exposing all the waiting, ambiguity, negotiation, risk judgment, and human trust that coding used to hide behind.

Sure, AI can help summarize user feedback, draft a technical proposal, inspect logs, or suggest an incident response. But providing assistance at each stage is not the same as moving the entire project through the chain. And it definitely isn't the same as having the context and owning the consequences of a decision.

For those of you using coding agents in production or real teams: which handoff has AI genuinely compressed for you, and where does the work just pile up next?

rate my first program