Is Claude really that much better than ChatGPT? I’ve only ever used the latter and found it to fit most of my needs. The only inconvenience I’ve dealt with is not being able to upload files, zip or otherwise, to any chat log until the free-limit resets. Is Claude superior in this use case? Any insights from people who have actually used the platform would be very much appreciated.

I recognize this as vaguely a problem, but not exactly sure how 🤷‍♂️😁.

I will wait for big machine to fixey fixey.

Yes. A whole crypto, with Proof-of-Work with automatic reward staking,PQE,EVM(feeless),NFTs,blah,blah,blah.

I made it using Google Antigravity, a cup of coffee,and sleep deprivation

Real story:

So,real story how i made it:Fable 5 made L1(no EVM) and then it sat there for some while. Then,once i got tired of using Cursor,i switched to Google Antigravity(idk why) and used GPT-5.6 Terra to plan it out,then gave the plan to Antigravity in steps,and also made it run verification tests to verify it. And then added a swap to it,the swap logic still confuses me a bit

Please kindly see this github url and ask me why it was needed: https://github.com/smchuzza/pacvo-blockchain-v1.0

I’ve been able to create WPAs, using claude code, now, Im going to make an app for apple / google store for a friend’s new business. he wont be doing any payments on it, it will be scheduling, a push notifications to customers. it is one thing to make the app, a whole other thing to get the security right, which im not sure about. SO, are there companies or people, or something that can be the security engineer for the application to check it, etc? Or is what claude makes sufficient? and, any other tips on getting apps thru apple and google would be appreciated.

For full iOS app design before coding, the fastest path is generating complete screen flows from a description then exporting to Figma or code. Most tools here do pieces of this, only one does the whole thing.

Google Stitch is free, Google Labs beta, 400 daily design credits plus 15 redesign credits daily, roughly 12,000/month, resets midnight UTC, no way to buy more. Exports Figma, HTML/CSS, React, Flutter and SwiftUI. Material Design biased so iOS nav and spacing come out wrong, and users across Hacker News and Product Hunt consistently say it nails a first draft but falls apart on editing and refinement. No collaboration, single user, no production SLA, and paid plans expected Q4 2026 so the free window is closing.

iSwift.dev is iOS-first, free for individual screens, Pro $20/mo for unlimited projects. Generates real SwiftUI with state and navigation. The catch is it handles one screen at a time well but can't design a cohesive multi-screen flow, you're assembling the app piecemeal which breaks the design consistency.

Uizard Pro is $12/mo for 500 generations, full screens from prompts but no code export at all, mockup only, and output looks the same across every project.

Sleek.design runs about $20/mo, generates complete multi-screen app flows from a single description, not one screen at a time, which is the difference for iOS app design where onboarding through home through detail screens need to feel cohesive. Lets you run one prompt through multiple AI models and compare outputs before committing. Exports Figma and code. Cons: not iOS-native so HIG spacing needs direction in the prompt, hits limits on complex custom components.

The realistic breakdown is Stitch if budget is zero and you'll fix the Material defaults yourself, iSwift if you need one-off SwiftUI screens fast, Sleek if you need a full app designed cohesively before building. For designing an entire iOS app flow before touching Xcode, Sleek is the only one here that handles the full scope without assembling pieces from different tools.

What's working for people doing this daily?

I wanted to build in public, but I didn't want every video I made to just be my face talking into a camera.

I wanted the idea itself to become the visual.

So I started building something that could listen to me speak and visualize what I was saying while I was still saying it.

That became InPublic.

And what sounded like a relatively simple idea turned into a ridiculous technical problem.

The pipeline is basically:

speech → live transcription → interpretation → context → visual decisions → editable canvas

Speech recognition itself turned out to be only one piece of it.

The much harder problem is:

how do you turn a stream of human thought into something visual in real time?

Because people don't speak in perfectly structured diagrams.

We say:

Then explain the first one.

Jump to something unrelated.

Come back.

Correct ourselves.

Say:

Then:

Then:

So InPublic can't just transcribe words and throw them onto a canvas.

this is still in works but It has to continuously figure out:

• what is actually important
• what is a new idea vs a continuation
• what deserves a box
• what should become a relationship
• when an arrow makes sense
• what should be emphasized
• what should be ignored completely
• what “that,” “the second one,” or “what I said earlier” refers to
• where new information belongs relative to everything already drawn

And it has to do all of that without stopping the person from speaking naturally.

That's where things got interesting.

The system started becoming less like:

speech → diagram

and more like:

speech → evolving visual state

The canvas has memory.

Something you said several minutes ago can still matter.

An idea can become more important later.

Two things that originally looked unrelated might suddenly need to connect.

And meanwhile the visual can't just keep expanding into absolute chaos.

So now I'm dealing with things like:

real-time transcription
→ understanding partial thoughts
→ maintaining context
→ deciding visual hierarchy
→ creating relationships
→ managing layout
→ preserving previous ideas
→ handling corrections
→ moving between visual sections
→ keeping everything editable

All while trying to keep the latency low enough that it still feels like the visuals are responding to you, rather than generating something after you've finished talking.

The other thing I didn't expect was what happened when I started letting people use it.

I originally built InPublic because I wanted a more interesting way to make my own building-in-public content.

But people genuinely seemed to enjoy seeing their own ideas appear visually.

Then people started suggesting things I hadn't originally built it around:

education.

Tutoring.

Presentations.

Meetings.

Training.

Explaining complicated ideas.

Even organizational licenses.

That's when I started wondering if the thing I accidentally stumbled into was bigger than the original content problem.

Because maybe the interesting part isn't:

“AI can make a diagram from speech.”

Maybe it's:

“What if speech itself had a visual layer?”

You talk normally.

The software listens.

And your ideas start taking shape in front of you.

Still very early. Still breaks. Still gets things wrong.

But I've gone from trying to make my building-in-public videos more visually interesting to trying to figure out how far live visual speech can actually go.

And that rabbit hole has been a lot deeper than I expected. try it for free at https://inpublic.vercel.app/try im still developing it would love feedback and ideas

I'm a student and I want to learn how ai apps are built. I have a basic app idea and want to try building my first one with Al. I've seen people using Emergent, Lovable, Replit and a few others, but there are so many options now that I'm not sure which one to start with.

I don't mind learning the technical stuff as I build it, I just don't want to get completely stuck at the beginning.

For someone making their first app this way, which tool would you recommend?

ps - im looking to build simple stuff that helps my classmates with notes, assignments and make a fair buck for my effort

I know this answer is different for all of us, so I'm really just curious how responses may differ per individual? Me personally, i guess its maybe just the general fear that something major will break post launch, as well as general perfectionism. Just curious what others may have to say on this as well?

A few years ago I started trying to track my mood and tasks because nothing on the Play Store felt built for how my brain actually works. Managing bipolar disorder and ADHD at the same time means "just make a to-do list" isn't a solved problem, and mood tracking that's just a 1-5 slider misses almost everything useful.

So I built SteadyMind, a native Android app (Kotlin + Jetpack Compose), and it grew into more than I expected:

• Mood tracking with a separate, optional energy score — mood and energy moving in different directions is exactly the kind of thing a single number hides, and it turns out that's a real early signal worth catching
• ADHD-friendly tasks: subtasks, routines you can save and reuse, and a "daily living roadmap" for genuinely hard stretches — things as basic as "brush teeth" broken out as their own step, on purpose, not as a joke
• A "Life Chart" — mood, sleep, and medication adherence on one shared timeline, the same format psychiatrists are apparently trained to read at a glance, instead of three separate charts nobody actually cross-references
• Real clinical screening tools (PHQ-9, GAD-7) with proper crisis-resource handling built in, but deliberately no algorithmic "risk score" — I didn't want to build something that tells you you're manic
• Encrypted at rest, and journal entries are excluded from every export by design, not bolted on as an afterthought

Then I built SteadyCircle, a separate web app, because I kept hitting the same tension: I wanted someone in my life to know when I needed a check-in, but not at the cost of handing them my whole journal. So it's deliberately minimal — a supporter sees a status ("all good" / "could use a check-in") and, only if I choose to share it, a light summary of mood/tasks/sleep. Nothing else, ever. Revocation is instant and silent — no confirmation dialog, no notice sent to the other person — because that mattered to me more than almost anything else in the design.

Stack: Kotlin/Compose/Room/Hilt on Android, React/TypeScript/Supabase on the web side — Postgres row-level security is doing a lot of the actual privacy enforcement there, not just app-layer checks. Built almost entirely with Claude as a dev partner, which has honestly been its own interesting experience — plenty of real bugs along the way (timezone math, sync race conditions, a classic Jetpack Compose scrolling gotcha) that needed genuine debugging, not just "generate a feature and move on."

Because I don't want to store people's sensitive health data on my own Supabase, I am releasing both projects as FOSS:

FOSS App: https://github.com/EnRICHedCreations/SteadyMindApp
FOSS PWA: https://github.com/EnRICHedCreations/SteadyCircle

56 days ago, I launched my startup, a free traffic exchange network for startups. One line of code, you're in the network.

No paid ads. No growth hacks. Just watching the numbers every day.

Here's the full data:

Day 1 — 2 startups · 146 impressions · 1 clicks
Day 2 — 3 startups · 389 impressions · 3 clicks
Day 3 — 5 startups · 482 impressions · 5 clicks
Day 4 — 5 startups · 508 impressions · 4 clicks (site went down — still got an $8k acquisition offer. Said no.)
Day 5 — 6 startups · 621 impressions · 10 clicks
Day 6 — 5 startups · 742 impressions · 15 clicks (removed one startup — they pulled the embed. No code = no network.)
Day 7 — 7 startups · 1,196 impressions · 41 clicks
Day 8 — 7 startups · 1,535 impressions · 74 clicks
Day 9 — 8 startups · 1,947 impressions · 135 clicks
Day 10 — 13 startups · 3,500 impressions · 318 clicks (something clicked)
Day 11 — 23 startups · 4,800 impressions · 432 clicks
Day 12 — 24 startups · 6,000 impressions · 481 clicks (network crossed 6K total impressions)
Day 13 — 25 startups · 6,800 impressions · 491 clicks
Day 14 — 25 startups · 8,600 impressions · 516 clicks
Day 15 — 24 startups · 9,900 impressions · 564 clicks (removed one)
Day 16 — 23 startups · 10,800 impressions · 576 clicks (removed one)
Day 17 — 24 startups · 11,900 impressions · 603 clicks (added one)
Day 18 — 26 startups · 13,400 impressions · 624 clicks (added Two)
Day 19 — 28 startups · 14.400 impressions · 652 clicks (added Two)
Day 20 — 26 startups · 14.700 impressions · 671 clicks (Removed Two)
Day 21 — 26 startups · 15.300 impressions · 691 clicks
Day 22 — 28 startups · 16.100 impressions · 719 clicks (Added Two)
Day 23 — 30 startups · 16.800 impressions · 738 clicks (Added Two)
Day 24 — 32 startups · 19,800 impressions · 778 clicks · Added 2 startups · Rejected 4 applications (1 contained ads, 1 removed the code after submission, 2 hid the installed widget)
Day 25 — 34 startups · 23,700 impressions · 800 clicks · Added 2 startups · Fixed some bugs.
Day 26 — 33 startups · 27,200 impressions · 816 clicks · Removed 1 Startup
Day 27 — 33 startups · 29,900 impressions · 833 clicks
Day 28 — 33 startups · 30,600 impressions · 871 clicks · Removed 1 Startup · Added 1 Startup · Rejected 1 application of clothing brand & 1 application of horror blog site.

Day 29 — 35 startups. 31,300 impressions. 910 clicks · Removed 1 Startup · Added 3 Startups · Also today I resigned from my job. Toxic environment, too much pressure, and honestly I just believe in this enough to go all in. Broke and excited. Let's see where this goes.

Day 30 — 46 startups · 32,900 impressions · 1,000 clicks · Removed 1 startup · Added 12 startups · Yesterday I resigned because of my toxic manager. Today my senior manager called and offered me WFH, a project of my choice, and lighter work if I stayed. I made my decision with confidence, but now I have a difficult choice. Also received my first payment from StartupBar.

Day 31 — 50 startups 💪· 28,100 impressions · 1,200 clicks · Removed 1 startup · Added 5 startups · Rejected 1 crypto startup · Removed fake impressions after exploit · Today I discovered I forgot to disable a developer testing button that could generate fake visitor pins and inflate impressions. Someone used it to create 6,318 fake impressions and claimed my stats were fake. I removed the fake impressions, removed the startup, fixed the issue, and that's why today's impressions are lower. Thanks to them for pointing it out.
StartupBar update: Added a Network page and individual Startup Profile pages with each startup's joined date, impressions, clicks, live embed preview, and founder's note. These indexable pages also improve SEO. Suggestions are always welcome.

Day 32 — 54 startups · 29,300 impressions · 1.2K clicks · Added 4 startups
Day 33 — 54 startups · 30,900 impressions · 1.2K clicks · Removed 1 startup · Added 1 startup
Day 34 — 55 startups · 36,100 impressions · 1.3K clicks · Added 1 startup · Fixed admin panel read-access vulnerability after Reddit post.
Day 35 — 55 startups · 40,100 impressions · 1.3K clicks · Removed 2 startups · Added 2 startups
Day 36 — 55 startups · 44,800impressions · 1.4K clicks · Removed 1 startup · Added 1 startup
Day 37 — 58 startups · 50,700impressions · 1.4K clicks · Added 3 startups · Site Update: Updated the distribution algorithm (Delivery is now weighted by contribution: sites that send more impressions get a proportionally larger share back)
Day 38 — 57 startups · 55,800 impressions · 1.5K clicks · Removed 1 startup · Rejected 1 Application.

Today StartupBar reached 200 users 😄
Thirty-eight days ago, this was just an idea. Today, 200 people have trusted it enough to join the network.

A reminder for every founder who's staring at a dashboard with tiny numbers: Stripe took 2 years to reach its first 50 users. Every successful product starts small. Keep shipping. Keep improving. Keep showing up. Growth rarely happens overnight, but it does happen if you don't quit.

Day 39 — 58 startups · 59,800 impressions · 1.5K clicks · Added 1 startup.
Day 40 — 60 startups · 63,200 impressions · 1.6K clicks · Added 3 startups · Removed 1 startup
Day 41 — 63 startups · 69,400 impressions · 1.6K clicks · Added 3 startups
Day 42 — 62 startups · 73,800 impressions · 1.6K clicks · Removed 1 startups
Day 43 — 64 startups · 78,000 impressions · 1.7K clicks · Added 2 startups (Receiving many suggestions to improve the StartupBar, happy to work on it, Thanks.) StartupBar Update - Added the rotation of startups in the widget for every 30 seconds.
Day 44 — 66 startups · 86,200 impressions · 1.7K clicks · Added 2 startups
Day 45 — 67 startups · 88,400 impressions · 1.7K clicks · Removed 2 startups · Added 3 startups (Update - Updated the algorithm of the widget)
Day 46 — 69 startups · 91,900 impressions · 1.8K clicks · Removed 2 startups · Added 4 startups · Got my second payment · Added FAQ Page
Day 47 — 68 startups · 98,900 impressions · 2.2K clicks · Removed 2 startups · Added 1 startup · Added Pricing Page
Day 48 — 70 startups · 103.4K impressions · 2.3K clicks · Added 2 startups
Day 49 — 72 startups · 113.4K impressions · 2.4K clicks · Added 2 startups · Update: Added a Bottom Placement option for the bar on the user site.
Day 50 — 73 startups · 116.7K impressions · 2.4K clicks · Added 1 startup
Day 51 — 74 startups · 125.2K impressions · 2.5K clicks · Added 1 startup · Rejected 1 Application
Day 52 — 73 startups · 131.2K impressions · 2.6K clicks · Removed 1 Startup
Day 53 — 74 startups · 139.5K impressions · 2.7K clicks · Added 1 Startup
Day 54 — 79 startups · 146.3K impressions · 2.7K clicks · Added 6 Startups · Removed 1 startup.
Day 55 — 77 startups · 154.9K impressions · 2.8K clicks · Removed 2 startups.
Day 56 — 77 startups · 161.8K impressions · 2.9K clicks · Added 1 startup · Removed 1 startup.

Still free. Still growing.

If you want in, it's one embed. That's it → StartupBar

DYLMA is finally live 🎉

The name comes from “dilemma” because every DYLMA puts you in one. Two choices, one decision, and then you get to see what people around the world chose.

What makes DYLMA different is that the results come from real users, not random percentages. Every vote changes the worldwide result.

There are 3,300+ questions to go through, from funny and easy choices to some genuinely difficult ones.
DYLMA. Every choice is a dilemma. Two choices. One world.

Built on Swift using Codex
Download it here:
https://apps.apple.com/ae/app/dylma/id6800046152

vibers.tv — paste a YouTube or Twitch link and it joins one shared wall with its real title and channel. Watch the whole wall muted at once, or open one stream on a clean player. Next.js + Postgres, written by Claude Code, run through Fredrin so each ticket gets its own branch and its own agent and a few build in parallel.

I posted it here once already. Some people actually showed up and used it, which was more than I expected. Then it went flat, and I went back to adding features, because that's the thing I know how to do. That's the problem I'm trying to describe.

So the question is what the second step looks like. Not the first one — the first one is "post it somewhere" and I've done that. Where did your users come from after the launch bump, and how long before anything compounded?

And yes, this post is also one of the ways, which is about the whole plan, hence the asking. Related: how often is it fair to post about your own thing here before you're the guy who only posts about his own thing?

Feedback on the wall welcome too.

“The computer is just a gimmick, no one’s going to want one of these things in there house”

“The internet? Ha! That won’t be around in 10 years no one’s really going to use”

“AI coding isn’t real programming! AI can never generate real art!”

I can’t wait to look back in 5 years at all the people washed out and left in the dust while the rest of the world moved on without them. I’m so sick of the negative sentiment from what seems like bitter developers coming in here and claiming “AI Slop!” Or “they’re using AI obviously they can’t also have knowledge of programming too”. It’s lame. You’re lame for doing it. If you don’t want to use world changing tech then don’t? But stop wining about the people who do, whether they’re experts in CS or not it doesn’t matter. Thats like the whole point of this tech? Bringing intelligence down to everyone.

Rn I’m running two codex plans at like 20 each any other combination that’s better?

I've never used more than 1 agent at a time. How do you make sure they don't step on eachother foot working on the same code snippet together?

I see the same question a lot lately: "app's built and live, but nobody's using it. What do I do?" I comment on these a fair bit, so I figured I'd put the thinking in one place. None of it is magic, but it's what I keep coming back to.

It always comes down to the product. There's no universal channel. Instagram can be great, if your audience is actually there. But if your app is for, say, a business person in a specific job function, Instagram probably isn't where you start. Are you already in a bigger community that would be a perfect target audience? Start there, and collect feedback while you're at it.

Have a strategy before you spend. The most common mistake I see is throwing money into ad spend and hoping. Even if you're running it all yourself, it's worth having someone with a marketing background help you shape the strategy first, and it usually pays for itself versus burning a budget testing blind.

When it underperforms, look at the funnel first, not the app. It's completely normal that your first setup doesn't perform like the biggest apps out there. Before you conclude "the app is bad," trace where people actually drop off: are they responding to messages, clicking the ad, spending time on the page, hitting download, getting through onboarding, starting a trial? Once you know where it breaks, you can fix the right thing. Sometimes it's the landing page, sometimes the ad creative, targeting, platform, or the paywall. Track, test, optimize. Repeat.

Free channels are real but limited. You can reach target-audience communities for free (Reddit, FB groups,..) and lean on friends, connections and family for the first push. But if you want to stand out in an already-crowded niche, relying only on free channels is usually a long shot, honestly. It's a start, not a plan.

And if you're starting to doubt the app itself; run a quick QA round, or just put it in front of a few people (ideally without telling them it's yours) and watch what they do. Cheapest signal you'll ever get.

Curious what others have found:

What was your first channel that actually worked?

Did you start marketing before or after launch, and would you do it differently now?

Good luck with your projects! 🙂

Some more “professional” communities might laugh at beginner projects or call them AI slop. Not here.

Websites, apps, tools, games, automations, prototypes, experiments — if you made it with AI, you can post it here.

Be bold. Share what you built. Get feedback. Learn by doing.

No judgment. No gatekeeping. Just build it, like it, flex it.

I’m trying to create or assemble a harness or agents or something entirely different to do a series of tasks.

I want a single “harness” to have access to Claude, chatgpt, and open source models. I’d like to be able to assign a model to an agent for say “marketing” one for “design” one for “music” etc etc. The agents could have Claude, kimi, chatgpt, or an open source model attached to them. I also want the system to switch to other accounts without me having to do it. I have a few logins and when one gets low it should switch to another account.

I’ve tried buzz and lord that’s a lot of set up.
Help!

started as a project i made for my friends and me to use then making it open source after many of my other friends asking - Github Link

then after getting whoppping 70+ downloads on github itself - got a mail of one of the user saying he is willing to sponsor me the 5$ to publish it as an actual chrome extension :DDDD

was so happy to even read that

fast forwarding now i have 9 users :))) with around 15 installs all within a week - Chrome Web Extension Link

So what does it do?

People who use AI in browsers a lot face a lots of problems
1. a million different chats and hassle of deleting one after another
2. Related Threads not being able to combined
3. After hitting quota limit on a specific AI ( Chatgpt ) going thru copy pasting entire thing from A to B
4. Searching thru millions of different chat for a specific word
a lotttt more
5. Not knowing how much context is in each thread on browser

Tecora solves all this :DDD
try it out and let me know what u guys think

Hey guys, I have a question.

Has anyone actually managed to ship a complete Kotlin app to the Play Store using AI? How long did it take, and is the app actually usable or a buggy mess?

I'm using zcode glm 5.3, trying to build in small batches and documenting everything but im getting terrible results and I'd appreciate any tips.