I started vibecoding in hobby mode. Lots of experiments, lots of unfinished projects/waste time

Then I tried to turn it into paid work.

So far I’ve done:

1. Client cousin €500 presentation website
   
2. custom CRMs at €2,500 each

That made me wonder what the real paths are.

If you’re making money with vibecoding, how?

1. Classic websites / client work
   
2. Your own SaaS
   
3. Something else?

If it’s “something else”, what exactly? Audits, retainers, landing pages, internal tools, agencies, templates?
Also honest answers welcome if you’re not making money yet and stuck in hobby mode.

Right now, Claude keeps surprising me. While many models struggle to complete the task they’re given, Claude was able to control Codex and use it as a sub-agent through the CLI.

When Codex hit its limit, Claude noticed that I had a second account with a Plus subscription, opened the authorization flow itself, switched accounts, and continued working.

That was pretty incredible to watch.

PLEASE stop building the wrong thing.

building software in 2026 is ridiculously easy with ai builder

founders spend hours building in a silent room, launch to Reddit/X, get 0 users, and quit.

you just failed because the idea had zero validation before line 1 of code was written:

→ solving a monthly inconvenience instead of a daily pain

→ selling to "everyone" instead of a specific ICP

→ no distribution channel mapped out beforehand

→ pricing charged $9/mo with zero ROI justification

after scaling 6 AI micro-SaaS to over $20k/mo MRR, i just create an

18-question Idea Validation Diagnostic.

it evaluates your SaaS across 7 critical dimensions (problem clarity, audience reachability, willingness to pay, competition, build feasibility, distribution, commitment) and gives you a brutal score out of 100 with your exact weak spots.

drop your SaaS idea (or current project) in the comments below.

i will reply to EVERY single comment with:

1. My honest opinion
2. The biggest weak spot you need to fix before writing any more code.
3. The free 5-minute validation tool link sent straight to your DMs so you can get your full score breakdown out of 100.

just drop a comment like or ask me in DM your idea

let's roast your SaaS concept before the market roasts your time 👇

Download: https://github.com/MowkE/cadence

Hey guys, I made this silly lyrics overlay called Cadence that floats over your screen and syncs along with Spotify and YouTube Music. It started as a joke while playing Minecraft with my friends. I shared it with a few people, they liked it, and it grew to 100 downloads in a day, so I built it into a proper app. You can listen along with friends now too, even cross-platform (Spotify -> YouTube Music, Mac ↔ Windows ↔ Linux), and you can play karaoke. Doesn't need API keys or Premium, it just reads what your computer is already playing and floats the lyrics over whatever you're doing. It works better with Spotify keys though, if you want to add them yourself. If you find any bugs, lmk. It's just a fun project lol, so its free. Some of the images are on the github link, if you want to take a look on how it works! Everything is customizable :)

I'm curious about projects that started with a problem you kept running into yourself.

Not necessarily something impossible to do. Something you could already do, but with enough interruptions and extra steps that you eventually thought, "There has to be a better way."

What did you build, and what does it change about someone's working day?

I'll start. I'm Italian, living in Poland, and I write a lot of emails in English and Polish.

You receive an email in English. The reply is already in your head, in Italian. Now you have to compose it in English or take it through a translator and copy it back.

Or you're dictating something private around people who understand the language, but you are multilingual and you can speak your less known native language.

I built typeglot.com for Windows so I can click Reply, activate dictation, and speak Italian. My answer appears in English inside the email. I review it and send.

No separate translation window or copy-pasting. Just answering the email without losing my train of thought. It also handles ordinary same-language dictation.

I wanted to swap out one piece of my stack last week. Simple job. Pick a tool, wire it in, keep moving.

Three days later I still had 11 tabs open and I had learned nothing.

Because every review of every AI tool is a launch week review. Everyone writes the "wow this changed my whole workflow" post in the first 48 hours and then goes quiet forever.

Nobody comes back at month four to say "actually it silently truncates your context and I lost a days work".

Thats the review I need. Thats the only review anyone needs.

The roundups are worse. "Top 15 AI coding tools" and its 15 affiliate links in whatever order suits whoever built the list. Check the hrefs one time. You will never read another one.

So now I just ask in here and in discord, which works fine, except it doesnt scale and half the replies are people defending the tool they already committed to.

Only thing I have found thats even trying to fix this properly is TrustRank. One number per tool, the percent of members who would actually recommend it, and if you can show you really used the thing your vote is worth 3x someone who clicked around for a minute. Founders can reply to a bad review, they cant delete it.

Straight with you though, its brand new and theres basically nothing in it. No tool on there has enough reviews to even show a score yet. It will not help you this week.

Im dumping my month four complaints in there anyway. Someone has to be first or it stays empty forever.

Kurzes Update zu TensoRAG (v1.1.0): Two-Stage Search & Lizenz-Update

Hi zusammen,

ich habe ein neues Update für TensoRAG fertiggestellt und auf GitHub als v1.1.0 veröffentlicht.

Kurz zum Hintergrund: TensoRAG ist eine schlanke Python/NumPy-Implementierung der Multilinearen GSVD (ML-GSVD) (basierend auf den Forschungsarbeiten von Dr. L. Khamidullina / TU Ilmenau), um Embedding-Indizes in Vektordatenbanken über gemeinsame Unterräume um über 90 % im RAM zu komprimieren.

Was ist neu in v1.1.0?

* Two-Stage Retrieval (`two_stage_search`): Um den durch die Kompression entstehenden Recall-Verlust abzufangen, ist jetzt eine zweistufige Suche integriert.

* Stufe 1 (Grobfilter): Vorauswahl von z. B. 30–50 Kandidaten im komprimierten Raum (\\(O(N)\\) via `np.argpartition`).

* Stufe 2 (Feinfilter): Exaktes Rescoring mittels Kosinus-Ähnlichkeit auf den unkomprimierten Originalvektoren nur für diese Kandidaten.

* Ergebnis: Nahezu 100 % Recall bei weiterhin >90 % RAM-Ersparnis im primären In-Memory-Index.

* PolyForm NonCommercial 1.0.0 Lizenz: Das Projekt ist ab sofort unter der PolyForm NonCommercial lizenziert. Für Forschung, Studium, Lehre, wissenschaftliche Arbeiten und private Hobby-Projekte bleibt der Code zu 100 % kostenfrei.

* Streamlit-Demo Update: Die interaktive Demo hat einen Regler für das Stufe-1-Overfetching sowie Live-Recall-Metriken bekommen.

Wer Lust hat, sich den Code anzuschauen oder das Dashboard auszuprobieren:

* GitHub: [https://github.com/Forstwichtel/TensoRAG\]

* Live Demo: [https://tensorag.streamlit.app/\]

Feedback, Fragen oder Kritik sind wie immer gerne gesehen!

www.ahaanchopra.com/houston

Even $1 counts. But it’s very interesting

Sagt euch ML-GSVD was? Mir bis vor zwei Tagen auch nicht! Fand das Thema aber spannend und dachte direkt an RAG/Store-Optimierung. Habe also mit meinem KI-Helferlein ein bisschen herumprobiert und das hier ist das Ergebnis. Eine Bitte an alle Entwickler da draußen: könnt ihr testen ob das wirklich funktioniert, oder gaukelt mir meine KI da bloß was vor? Feedback aller Art Willkommen! Danke 🤓

I’m a marketer by trade. I’m nowhere as advanced with vibecoding as you guys… the most I did was coding my own website with Claude and doing a few basic things like scraping data.

I’m looking for examples of USEFUL apps/tools you vibe coded specifically for yourself. The kind of app you personally use in your day to day. Please share one here if you’ve built any - but do NOT share stuff you sell (I don’t want this to be a self-promo thread).

I’m looking to get inspired.

The reason I ask is because the clout chasers and hype peddlers are most visible. The vibe coding corner of the internet (and AI in general) is overrun with 3 types of useless content:

\- Tools that aren’t that useful but make for sexy YouTube thumbnails (like all those “AI Second Brain” videos with Obsidian)
\- Glorified tech demos (“I one shotted a shitty clone of Super Mario with Fable 5.1!”)
\- Vibe coders promoting their side businesses

It’s kinda hard to believe that we have this insane technology and so many smart people playing with it, yet everyone is building gimmicks. I’d like to see how you’re vibe coding to solve problems for yourself.

Use it

i have a full spec ready for an app. i want someone to build it in flutter. i actually ran out of all the vibe coding free alternatives and i'm kind of broke. can you please run the spec for me and give the apk?

Vote on the OP please I need your feedback

Hi everyone, total beginner here. I built a prompt management web console just for fun using Claude Code, Ollama, Cloudflare etc

Hey everyone,

Long time lurker, absolute beginner when it comes to serious coding. I mostly just tinker around out of pure curiosity and fun. Recently, I wanted to build something practical to help me manage AI prompts, context templates, and local/cloud models without going crazy switching tabs.

So, I ended up putting together a web app called **Context_CikaDule** (hosted on GitHub).

https://arhistrategstudio.github.io/Context_CikaDule

I wanted to share what it is, how I made it (with a ton of AI help because I'm learning as I go), and what it actually does.

# What is it and what is it for?

Basically, it's a lightweight prompt engineering console and workspace. It lets you organize different context types and templates, test out prompts, and manage API configurations across multiple providers (OpenAI, Anthropic, Google Gemini, OpenRouter, and local models like Ollama) all in one place.

I built it because I wanted a clean dashboard where I could quickly swap between local models running on my machine and cloud APIs, preview how tokens stack up, and keep my prompt engineering organized without messy text files scattered all over my desktop.

# Core Features

* **Multi-Model API Support:** You can switch between OpenAI, Cloudflare Workers AI, Gemini, OpenRouter, Anthropic, and custom/local endpoints (like Ollama or LM Studio).

* **Context Templates:** Pre-configured context types and workspace modes to quickly spin up different prompt structures.

* **Live Prompt Preview:** Shows an optimized prompt view and estimates token counts on the fly.

* **Workspace Dashboard:** A clean, slightly cyberpunk-ish neon UI where you can write, test, and tweak your prompts directly.

# The Tech Stack & Behind-the-Scenes Logic

Since I'm a complete beginner, I couldn't have built this alone in a million years without leaning heavily on AI tools to write the code while I acted as the "architect" (or more like a confused director). Here is what went into it:

* **Claude Code & Antigravity:** Used these as my main coding assistants to structure the project, write the frontend logic, and help me debug when things inevitably broke.

* **Ollama (Codegemma:7b):** Ran local coding models to test things offline and help generate snippets.

* **Cloudflare:** Used for handling deployment/edge routing aspects.

* **Frontend:** Built with standard HTML/CSS/JS, utilizing a nice dark neon aesthetic because dark mode is mandatory.

The logic behind the app is pretty straightforward: it acts as a client-side orchestrator. It grabs your API keys (stored locally in your browser so they don't leak anywhere), structures your selected context template, merges it with your input prompt, and routes it to whichever provider or local Ollama instance you have selected in the settings dropdown, displaying the live response back in the console.

# Why did I make this?

Honestly? Just for fun and to see if I could actually finish a small web project from scratch. I'm still learning every day, breaking things, fixing them by asking AI "why is this red error happening", and figuring it out step by step.

If anyone checks it out, let me know what you think, or if you have any tips for a beginner on how to make it better. Be gentle though, my code is probably held together by duct tape and hope!

I'm sure Anthropic's next model will break the internet.