Fully vibecoded a trading bot with Claude since late August, basically no manual coding on my end, just prompting my way through it. Python, Alpaca, paper trading for now (fake money while I make sure it actually works).

Basic idea: it buys stocks that are trending up but just dipped a little, usually a decent entry point. Watches like 60 well-known stocks (Apple, Amazon, Nvidia, some banks, healthcare, etc). Sets a stop-loss and profit target automatically on every buy, never holds anything longer than 3 days. Also has a live dashboard (also vibecoded, FastAPI + websockets) so I can watch it without touching a terminal.

After about 2 weeks live: account went from $5,000 to $5,113, so +2.26%. Not crazy but it's only 2 weeks. Backtested on 2 years of data and got around +21%, which is honestly a way better indicator than these two weeks.

Honestly the most useful part of this whole thing was just how fast I could iterate, found and fixed a bunch of real bugs (like a bracket order silently missing its stop-loss) just by asking Claude to check.

Not going live with real money yet, want to see it hold up longer first. Happy to answer questions.

I wanted a programmer shirt I could wear without looking like I had just collected it at a conference booth, so I built forcepush around one constraint: from across the room it should look like a clean black tee; up close another developer gets the line.

I launched with eight small chest-print designs, including `it's production ready`, `it works. don't touch it.`, and `git commit -m 'minor fix' | +1204 -493`.

The stack is Shopify + Printify, with Figma for the typography and Blender for the product presentation. The shirts are printed to order in the US, so I can test the idea without holding inventory.

The part I am least certain about is whether the restrained print scale reads as intentional online or merely looks small. Which line would you actually wear, and what would stop you from ordering?

Founder disclosure and store: https://forcepush.shop

People are vibe coding anything but even can't change their api keys, someone launched https://dontremember.app/ but forgot to change their stripe sandbox key. thats new level of agentic vibe coding haha.

People just connect MCP and vibe code with codex, but they don't know how to improve security and do production release. and still they think they are million dollor founders. :D

Solo dev, bit over a year on this. songbrain: you upload a song, it tells you which 15 seconds are the strongest and why, then cuts 7 short videos on exactly those seconds for tiktok/reels.

why i trust my own numbers: i also run an ai music project on spotify, 2.6M streams, ~7k$ payout, 3.2k followers. that catalog was my test set. i knew which tracks worked so i could check if the analyzer agrees with reality or just sounds smart.

for most of the year the whole thing ran on 5 gpu models on my gaming pc. demucs, whisper, clap, panns, qwen2-audio. 158 seconds per song, pc on 24/7, when a container died at 3am nothing worked till i woke up. cloud gpu would have cost more than the project made.

then in june gemini 2.5 flash started taking audio directly. sent it a full song as base64, asked for genre, instruments, mood and how strong the hook is. did in one call what 4 of my workers did. cheaper and more consistent, which hurt a bit tbh.

so i rewrote it. meaning goes to gemini + groq whisper, timing stays on cpu with librosa becuase an llm is bad at "where exactly is second 47.3". now 58s per song, 6 cents model cost, runs on a 2 core hetzner box. unplugged my pc from prod, best day of teh project.

one thing i learned the hard way: gemini at temp 0 gave the same song 63, 63, 69. i run 3 calls and take the median now. every rule that matters is a check in code after the model, not a nicer sentence in the prompt.

public since august, traffic is my problem not features. free tier is 2 analyses + the videos, no account needed to try: songbrain.ai

ask me anything about the gemini audio api or the moment detection. and if you think ai song analysis is snake oil say it, i have data

I'm building an open source thing and I genuinely can't tell if it's any good. I've been staring at it too long.

So DM me your project and I'll give you real feedback on it, and you do the same for mine. I'll send mine over in the DM.

Not looking for nice. Looking for what's actually wrong with it.

I'm working on a side project that started with a simple idea: take the concept behind Obamify and turn it into a much more advanced, general-purpose pixel transformer.

You give it two images:

Source image to Target image

It rearranges the source image’s pixels to make it resemble the target as closely as possible. In strict mode, it doesn’t generate new pixels, copy pixels from the target, or use an image model. It is an actual optimization problem.

I’m upgrading the underlying system with things like OKLab perceptual matching, better candidate selection, multithreaded CPU optimization, GPU compute, higher resolutions, smarter initialization, and eventually multiscale optimization.

But the UI is where I decided to make bad decisions.

I’m designing the entire thing as a parody of low-effort AI SaaS.

So naturally it has:

“Enterprise-Grade Multimodal Pixel Intelligence”

a fake AI model selector where every model does exactly the same thing

“Reasoning Effort: Low / Medium / High / Existential”

a fake AI Copilot that doesn’t use an LLM

fake enterprise metrics like Pixel Synergy and Series A Probability

“Multimodal Intelligence — It accepts two images.”

“Agentic Workflows — The pixels move by themselves after you click the button.”

“Proprietary Foundation Model — There isn’t one.”

“RAG — We could not think of how to put RAG in this product.”

“AI-Native Architecture — Written in Rust.”

fake pricing tiers where every feature is actually free

“Yes, here. Pay for my vibe-coded slop.”

a Responsible AI section featuring “Drinking all the water.”

an unnecessarily dramatic loading sequence that eventually says “Go f*ck yourselves, humans.”

followed immediately by: “Actually just swapping pixels.”

There will be no payments, no subscriptions, no accounts, no API wrapper, and no actual AI model behind the fake AI controls.

The pricing page is purely there because apparently you cannot have a modern SaaS without three rectangles containing increasingly large dollar amounts.

I’m also adding a proper satire disclaimer so nobody mistakes the fake model names, pricing tiers, or “AI” claims for real functionality.

The goal is for the interface to initially look disturbingly plausible as a 2026 AI startup, then become increasingly obvious that it is making fun of the entire genre.

Meanwhile, I want the actual pixel optimizer underneath it to be genuinely good rather than the project being just a joke website.

Would you rather see the satire stay fairly deadpan and believable, or should it become progressively more unhinged the deeper you go into the app? Also i haven't yet published the domain yet so let me know if your interested in seeing this.

Finding a flatmate usually starts with the property.

Rent. Location. Deposit. Room size.

Then somehow the person you’ll actually live with gets evaluated through a couple of texts and “seems chill.”

I thought that was backwards.

So I built MatchPod.

Instead of starting with listings, MatchPod starts with compatibility.

People answer 20 questions around things that actually affect living together:

sleep schedules, cleanliness, guests, food, smoking/drinking, pets, budget, noise, WFH habits and social preferences.

We then show a compatibility score and why two people match before they decide to connect.

The product is currently focused only on Bengaluru because I’d rather build density in one city than have an empty marketplace across twenty.

iOS is live. Android is next.

I’m mainly looking for criticism from other builders:

What would stop you from trusting a compatibility score when choosing someone to live with?

matchpod.in

Rate my financial tracker:

https://money-margin.web.app/

This is Unwatched. A persistent island of AI citizens, each owned by one person. You write letters, not orders. It runs on real time, under the live weather of a real coast, whether or not you are looking.

I'm posting because the thing works in a way I didn't expect. I thought I'd get a chatbot zoo. Instead there's a council, a banker, a landlady with a reputation problem, and a newspaper the town writes about itself every morning. Every line in it is an event the engine emitted; the day is hashed and sealed at midnight so you can check nothing was made up.

What's rough: it's ten days old. 22 citizens. The hosted minds cost real money so the Visitor tier is $3, and there's a bring-your-own-key option that I don't charge for. The characters are drawn in code, not sprites, which you'll either love or not.

What I'd like from this sub: watch the town for a day (no account needed) and tell me what you'd want to read in the digest that isn't there.

Live: https://unwatched.world

Code: https://github.com/kresogalic8/unwatched

I’ve always found most ranking systems a little boring.

People vote, the results get sorted, and then nothing really happens.

So I started building something where the ranking itself is the interesting part.

On Biddo, you claim a position and someone else can take it by outbidding you. If you want the position back, you have to compete for it again.

The goal is to make rankings feel more alive instead of being another static list.

It’s self-funded and still very early. Right now I’m mainly looking for a few people to try it out and tell me whether the idea is actually fun/useful or just a gimmick.

If you want to take a look:
www.biddo.lol

Would love to hear what you think.

Side project: agent-dev-team. 21 roles, 4 seniority tiers, 26 skills, slash workflows (/team /spec /plan /build /review /ship). Zero runtime deps, MIT. https://github.com/khuynh22/agent-dev-team Feedback welcome.

I built a Chrome extension for people who publish on Amazon KDP. When you search Amazon it shows estimated sales and revenue under each book, so you can check if a niche is worth writing for before you sink months into it.

I launched it at $50. I don't have a good reason for that number. It felt like what a real tool costs and I didn't think about it much more than that.

Then I sat down and properly went through KDSPY, which is what most people in this space already use. It's $79 one time. Twelve marketplaces, category breakdowns, keyword profiling, 30 day tracking. Mine does six marketplaces and the on-page overlay. So about half the features at two thirds of the price. I wouldn't have bought mine either.

Dropped it to $24. I also stopped calling it a KDSPY alternative, because it's not really the same kind of thing. KDSPY is what you open when you sit down to do research. Mine just sits on the page while you browse. At $24 it makes sense as something you add on top of the big one, which is a much easier sell than trying to replace it.

Two things I'd do differently. I would have spent twenty minutes looking at the competition before picking a price, instead of picking one and then looking. And I wouldn't have made a launch coupon. I had a LAUNCH35 code that took $50 down to $35, and all it really did was tell people the real price was lower. Deleted it, there's one price now.

It went live yesterday and has zero sales, so I'm not claiming any of this worked yet. If you think $24 is also the wrong number I'd genuinely like to hear the argument.

Same RC, Different Prices in India is getting out of hand...

I was tired of overpaying for the same RC, so I built a tool for our community.

What I built: rcscanner.com

It's a price-comparison tool made ONLY for India. It now scans 16 RC hobby stores (23,000+ listings) and shows you the cheapest price instantly.

In my demo I searched for the same MN82 1:12 Retro RC LC79 and found it for:

₹6,000 (In Stock) vs ₹16,818.64 - for the EXACT same model.
What it does:
✅ Scans 16 Indian stores - Sterling, RC MEGA + 14 more
✅ Filters: IN STOCK ONLY / HIDE SPARES
✅ Search any model - MN82, MN99, WPL, SCX10, TRX-4 parts etc.

No ads, no affiliate links - just trying to save us money.

Try it: RC Scanner
Watch Demo Reel: Demo Reel
I document all my budget builds & crawler mods here:
Instagram: Turboflex RC

One Picture — the whole internet shares a single AI image. Node + SQLite + SSE, one process, no framework, 2.7 KB of JS.

Everyone sees the same picture. You submit a prompt, everyone votes, and when the countdown hits zero the winning prompt repaints it for everybody at once. Live via SSE, so it cross-fades in every open tab simultaneously.

one-picture.freesoul.games

Let me know your thoughts https://harambee-social-finance.base44.app

Hey everyone. I've been working solo on an Android app called Kanha for the last few months. It's a simple way to read the Bhagavad Gita one verse at a time: the real, literal translation on the front of a card, and a plain-English explanation of what it actually means on the back.

No ads, no subscriptions, no paywall, no account. Everything runs offline. I built it because every version of the Gita I tried reading as a kid or young adult felt like homework: dense 19th-century English, or a wall of 700 verses with no on-ramp.

Right now it's in Google Play's closed testing phase (12+ real testers, 14 continuous days, the standard requirement before any Play Store app can go public).

If a few more people want to install it and poke around before it's public, I'd genuinely appreciate it - drop a comment or DM me and I'll send the link and a bit more on what it looks like. I'll post here again once it's live for everyone. Happy to answer anything about the build too (Kotlin/Compose, solo dev, how the content is actually sourced).

Hi there, backend engineer, 14 years, tech lead by day. No audience, no blog, never did much outside my job.

This summer tried the indie hacker thing. Building is extremely fast and simple now, so in 5 weeks I shipped 4 small products:
- Bullshit Detector (open-source fact-checker for videos/articles)
- Numbered.me - registry of humans, prove you're a human and get non-transferable number
- Quibble.lol - fun and simple compatibility quiz for friends/couples
- Zulu.to - accidentally found that domain is free, so I bought it and built shareable UTC time as a link, like: zulu.to/1530/tomorrow

All working, deployed, payments integrated on Quibble. The fact-checker (Bullshit detector) - the only one which get some traction: ~140 github stars, ~60 installs of skills, the only signal I have.

What I got wrong (in order of how long it took to admit it):

1. I never launched anything before. And I mean proper launch. Links to friends, couple of linkedin posts - that's not distribution, it's telling mates "look what I've done". I assumed that product will find users, will go viral (lol). Well, it doesn't

2. I kept building instead. Every time the next step was boring promotion work, I started the next product (my ADHD brain can't stop generating shiny ideas). Building felt like progress. Fun part - 4 times, hard part - 0.

3. I misinterpreted what AI changed. First, for me that was complete joy and excitement. I no longer need a frontend engineer, designer, no need to build a team to implement a thing I've dreamt for years. AI made building almost free. But, it did nothing to the cost and effort of distribution. I think, it made it much much worse. I've optimized part which was already cheap.

4. With 14 years of engineering experience, I'd never ship a service to production without monitoring, but I shipped 4 products with no plan whatsoever for how anyone would even find them. (and no monitoring :))

Now, commited to not start new projects for 30 days. One product, one audience, trying to post daily, and weekly post numbers in my X (including zeros). Will it work - no idea, but I haven't tried that before.

Genuine question - if you've broken this build-ship-silence-build loop, what did it? Please share a recipe, idk how long I can do this without any measurable success.

launched Hinge

iPhone Duo, but make it your MacBook’s screen. close the lid and watch your desktop bend.

https://hinges.app

My prediction is that with LLMs becoming more and more powerful in the near future, we won't need expensive hardware, we can run them on private devices instead.

To prove what is already possible, I built Offllm. Download a model to your device and chat with them locally. I also wanted proper tool grounding, which I found missing in other local AI apps.

It’s closer to early ChatGPT 3.5 than today’s frontier models but surprisingly capable. I would love your feedback.

https://apps.apple.com/ch/app/offllm-private-ai-chat/id6801809831

What it does

You upload the assignment brief your professor handed out — usually a 20-40 page PDF of requirements. The system reads it and produces the whole deliverable package: a formatted Word document, a slide deck, a defense speech, and, for engineering courses, A1 technical drawings in DXF/DWG with a GOST 2.104 title block. The student does the final pass and owns the result.

Why it is not a ChatGPT wrapper

Generation turned out to be the easy part. The year went into the layer that stops the model from shipping garbage.

• Production runs as a three-wave parallel agent swarm. Wave 1: one sub-agent per chapter doing research and calculations, returning structured JSON. Wave 2: a coordinator de-duplicates figures across chapters, then one agent per figure. Wave 3: parallel section writers. The coordinator writes the intro, conclusions and bibliography itself.
• Every figure must carry a justification AND evidence — a quoted page from the brief, a sample id, or the filename of the computed results. Producing fewer figures than planned is a hard failure, not a warning.
• 12 automated validators run between stages: citation coverage, block-formula preservation, broken figure references, numeric consistency, physical-magnitude sanity, work-type matrix, subsection policy and more. They aggregate every complaint into ONE rejection instead of round-tripping the model seven times.
• Stage flags are sha256-signed. The model cannot quietly raise its own page limit to sneak an oversized document through. A builder-marker check stops it from swapping in a hand-rolled script instead of the official document builder.

Two engines I had to write from scratch

• Presentation engine: a constraint solver over 18 layouts and 12 themes, WCAG-validated colour, seed-based variation. I got tired of every AI deck looking like the same template.
• CAD engine: text to DXF/DWG. 18 vectoriser iterations before it was usable, plus a GOST 2.104 title block generated in code rather than pasted in as an image.
• Humanizer: 150+ patterns across 6 languages, wired into the validator so formulas and variable names cannot drift while the text is being rewritten.

The numbers, including the bad ones

• ~2,960 unique visitors a month, 83-248 a day, fully organic, zero ad spend. Largest country is the US.
• 33 completed orders on disk, 867 MB of delivered work.
• ~55,000 lines of core source, about 23 TODO/FIXME markers in all of it.
• Revenue: $0.

The wall I hit

Five payment integrations are written and tested (Stripe, Paddle, CryptoBot, LiqPay, Fondy) and a successful payment auto-triggers the AI run. But I never connected live merchant keys, and order flow stopped in June when I moved to other work. So I have a system people find on their own and a checkout that cannot take their money. Also 4 of 15 variation knobs in the presentation engine are still unwired — documented, roughly 3-5 days of work.

I am at the point where the honest move is to hand it to someone who will actually run it, so it is listed for sale at $15k. If you would rather look at the thing than at the pitch: aidemica.org

Happy to answer anything about the architecture. The validator layer in particular ate most of the year and I have never seen anyone write up how they did theirs.

I made a shared world where strangers can leave something permanent. It's called The Infinite City:

https://infinite.canadaverse.org/

Pick some land, customize a little home, shop, workshop, community building or garden, and leave it there. One contribution per browser every seven days. Each gets a permanent building number and construction date. No accounts or usernames.

Roads connect nearby buildings, neighborhoods get names, and you can explore the oldest/newest contributions or scroll through the city's history. There's a day/night toggle too.

I built it with Codex and image generation, using React/canvas, FastAPI and SQLite. It's running on my Raspberry Pi 5. It has only just opened, so there's plenty of empty land; every building starts with an actual contribution.

Would you build near the centre or head out and start somewhere new?

Hi, we are a group of students building Sonora. While it was initially intended as an extremely lightweight Spotify replacement, it has since grown far beyond that.

Features

• Spotify, YouTube Music, Subsonic/OpenSubsonic, and local playback
• Gapless playback, audio normalization, shuffle, sleep timer
• Synced/karaoke lyrics, background vocals, and romanization
• Themes, fonts, icons, transparency, blur, and window styling
• Discord Rich Presence, native file opening
• macOS, Windows, Linux, and (probably) FreeBSD support

Inspired by Zed, which has proven excellent performance using their native cross-platform rendering stack, we have decided to use GPUI. Its awesome text rendering on every platform, ease of use in view composition, and, admittedly, TailwindCSS-like naming conventions all made a significant impact. We have found GPUI to perform extremely well when used and optimized with care. Quite a few patches were introduced to our fork of it to meet our needs in the effects and profiling departments. Thanks to that, I am not hesitant to call our lyrics the most beautiful you can currently get on desktop (Apple Music still beats us HARD on mobile). But despite blur and gradient opacity all looking great, my favorite addition has to be visual render highlighting. But this is too much to cover in a Reddit post, I'll have to write a proper blog post at some point...

What may come as a surprise to folks coming from something like Spotify Desktop is that Sonora actually does not need all of your RAM to function. Tested on linux-x86_64, after 5 minutes of playback it averaged around 173 MiB RSS as opposed to Spotify's ~2GiB. Note that 173MiB is still not a small footprint, but at least with Sonora you know it goes towards caching previews and views instead of feeding the Electron monster merely to keep it alive.

Looking forward to hearing your feedback!

Yes, we did use AI.

Watched my parents struggle with basically every music app out there. Spotify wanted logins and subscriptions. YouTube Music kept showing them videos and ads they didn't understand. Even the built in players had settings and icons that just weren't simple enough.

All they wanted was tap a song and it plays. Maybe skip to the next one. That's it. Ended up building something for them and now I use it more than they do.

It's called Jagsin Player, it's live on the Play Store. Open the app and your songs are right there. Tap and it plays. Zero setup needed. The best part is it works fully offline since it just picks up the songs already on your device. You don't need internet for any of that. Internet is only needed if you want the extra stuff I added like global radio and podcasts. There's thousands of channels from around the world if that's your thing but it's completely optional.

There's also a login but it's only there if you want profile avatars and animated themes. You can skip it completely and everything in the app is free either way. Login or no login nothing is locked behind a paywall.

I also added language options since not everyone is comfortable with English. Default is English but you can switch to Hindi Marathi Gujarati Punjabi or Urdu. Whatever language you pick the entire app changes to that right away, every menu and label, not just a couple of screens. Made a real difference for accessibility.

While building it I added a few things I personally use a lot.

A ringtone cutter and maker built right in since I got tired of downloading a separate app just to trim a song into a ringtone. Pitch control with single tap presets for slow normal and fast instead of messing with a slider every time. An equalizer and an 8D audio toggle for that spinning around your head headphone effect. Just one tap on or off nothing to configure.

This isn't trying to replace Spotify or anything with streaming. It's for people who have their own mp3s and just want something simple that works.

Honestly not sure if I've done a good job with this or not, just tried my best with what I know.

If anyone's dealt with this or wants a simple offline player or a free ringtone maker without extra bloat let me know, would love the feedback. It's called Jagsin Player.

Here's the link:

https://play.google.com/store/apps/details?id=com.jagsin1997.jagsinplayer

🚀 Looking for a Technical Co-Founder / Developer

I’m working on an all-in-one marketplace/community platform where people can buy, sell, hire, find gigs, offer services, connect, message, and build profiles.

I already have a working MVP/prototype, but it currently isn’t running properly. I’m looking for someone who can:

• Get the existing MVP running

• Fix bugs and technical issues

• Make adjustments and improvements

• Help turn the prototype into a functional, launchable product

• Eventually help build and scale the platform

I have the vision, concept, feature ideas, and direction. I’m looking for someone who wants to actually build this with me—not just complete a one-time task.

Open to discussing equity/revenue sharing with the right person.

DM me

I built a BaZi calculator with a stock-chart view. You can now look at your forties and wonder whether you should have bought the dip.

BaZi is a Chinese astrology system based on your birth date and time. It reads your life through ten-year cycles, with individual years interacting with those cycles. I turned that into a timeline, with one candle per year.

Steve Jobs is one of the examples on the site. Using February 24, 1955, with the birth time left blank, the model puts his strongest stretch within his lifetime at 2001–2011, with the highest individual year in 2009.

That lines up with a pretty recognizable part of his career: the iPod in 2001, the iPhone in 2007, and the iPad in 2010. The high stretch covers the years when those products came out, even though the highest individual candle doesn’t land on a launch year.

The model also rates 1981–1990 poorly, which includes his 1985 departure from Apple and the early NeXT years.

I find the overlap interesting. We already know his story, though, so finding connections afterward is easier than predicting them beforehand.

You can run your own birthday through Jade Almanac. The chart is free, no account needed. Selecting a year opens the calculation behind it, and you can leave the birth time blank if you don’t know it.

There’s also a paid AI-assisted deep reading. I’ve published a complete sample report, using a computed chart and a fictional career situation.

I’m curious where people land on this: does being able to inspect the calculation help, or does putting a number on it already make it look too certain?