Vibecoding
p/vibecodingBuild for the vibe, debug later
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It Works - An awareness tool disguised as an income tracker

Hey builders

It's Christmas. You're probably supposed to be doing something else right now.

And yet here we are. Both of us. You reading Product Hunt, me posting on it.

I built a thing. It's called It Works (itworks.now).

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11mo ago

One prompt. One app. One living workspace. (Built-in agents, automations, and memory + databases)

Hey everyone

Taskade started as a real-time collaboration tool for planning and productivity. Then we added memory, agents, and automations. Soon it stopped feeling like a static tool and started acting like a real living workspace that could handle parts of the work on its own.

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5mo ago

Context loss between sessions is the hidden tax on vibe coding

You finish a session, close Cursor, come back the next day. Ten minutes gone just reconstructing where you were. Stack decisions, rejected approaches, half-finished threads.

Nobody talks about this part. Everyone optimizes the coding flow but the between-session memory problem just sits there.

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6mo ago

Vibe Coding Without the $200 Price Tag: Multi-Model Workflow.

How much do you spend on monthly subscriptions?

If you re already on a premium plan like Claude Max or ChatGPT Pro, stick with it, unless you really want to optimize your "vibe coding" workflow.

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1yr ago

Which BaaS works best for “Vibe Coding” projects — local-first, fast to deploy, and low-cost?

Hey everyone

I m exploring different Backend-as-a-Service (BaaS) options for vibe coding projects small but creative builds that start locally and later go live (think quick prototypes, coding agents, or AI-powered hobby apps).

I d love to hear your thoughts on:

  • how easy is it to debug or simulate the backend locally?

  • how smooth is it to go from local to hosted?

  • any gotchas or scale-to-zero tricks to keep costs minimal?

  • functions, auth, storage, DB branching, edge runtimes, etc.

Looking for contributors in TypeScript/Electron/plugin development.

Hey there,

Bit of context first: I am a member of a 30 people+ team and most API clients we used felt like they were built for a different job than what we actually did.

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1yr ago

I Built my SaaS Using Vibecoding (and Why I Chose Claude Sonnet 3.5)

I just launched AllPub.co and built pretty much the entire thing using Vibecoding with Claude Sonnet 3.5. I'm a software architect with just some basic Python knowledge, so this was my first full web app build. Wanted to share my experience!

What I Built

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6mo ago

Vibecoding a Full-Stack AI Navigation Engine in one afternoon.

I spent 25 years on construction sites. Today, I don't write code I orchestrate it.

While my latest launch ('What Do I Say?') was trending on PH, I spent the afternoon using agentic loops to build a Full-Stack AI Navigation App.

The Stack:

  • Backend: Real-time Google Maps/Waze data orchestration.

  • UI: High-end 'Co-Pilot' dark mode dashboard with 2D/3D perspective switching.

  • AI Layer: A multi-intent voice brain that handles routing, traffic interrupts, and 'Pit Stop' predictions.

  • The Result: A production-grade, voice-first navigator built without writing a single line of manual code.

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7mo ago

Drop your startup link in the comments

I'm launching IdeaJarvis on Product Hunt tomorrow a workspace that runs the full 0 1 loop for startup ideas (discover research define deploy validate automate) using your own ChatGPT, Claude, or Cursor.I want to put my money where my mouth is. Drop your startup link below and I'll personally run it through IdeaJarvis. You'll get back: A full pitch positioning, problem, solution, target user Detailed market research competitors, TAM/SAM/SOM, market gaps Honest feedback what's working, what to fix firstNo catch, no upsell. I built IdeaJarvis because I had every AI tool open ChatGPT, Claude, Cursor and still couldn't turn all that intelligence into ideas worth scratching. The best way to prove it works is to do it for you.our
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7mo ago

Claude source code leak just showed how AI products really work… surprising or expected?

Came across the recent Claude Code leak from Anthropic, and what stood out wasn t the leak itself, but what it revealed about how these systems actually work.

  • A source map file accidentally exposed ~500k lines of TypeScript

  • Turns out Claude Code is basically a multi-step prompt orchestration system, not some mysterious black box

  • Includes things like:

    • layered prompt pipelines ( prompt sandwich )

    • fake tools to prevent model distillation

    • simple frustration detection (regex for rage prompts )

  • Even hints at future features like background agents and persistent memory systems

What s interesting is this:

It kind of confirms that the real product layer in AI isn t just the model it s everything wrapped around it.

Which raises a few questions:

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