Today, I have launched my very first SaaS product - BreakGround on producthunt - https://www.producthunt.com/prod...

But why I am posting here is because of a different reason. Wanted to share what all I learnt while building this solo in 2.5 months from scratch.

As you all know, AI capabilities for coding has seen significant improvement since last 6 months, but still just asking it to build you an app doesn t cut it. You can take the vibe coded software only till certain extent, not to production. You still need to have good understanding of software development in order to get it right. Me being a former software engineer for first 4 years and Product manager since last 5 years really helped. Claude code was something I heavily relied upon. So much so that I maxed out its 20x max plan even when they were providing double limits in non peak hours 3-4 weeks back. Here are some of my learnings. Feel free to DM me to talk more about it or challenge it. Open to discussion.

- Need a well structured audit loop to challenge what AI codes. Some people use codex to audit what claude writes. But, for me even claude s separate agent works well for auditing.

Hey everyone

I ve been freelancing for a while, and one thing kept bothering me managing invoices and tracking payments always felt messy.

I was switching between multiple tools just to do basic things like sending invoices or checking if a client had paid.

So I started building PaynvoiceApp a simple tool focused on making this process easier.

One thing is becoming very clear while building PromptBrake: For AI security testing, the deployment model is part of the trust layer.

A lot of teams want to test:

• sensitive prompts

• customer chatbot flows

• production AI behavior

Hey everyone, I m soft-launching VeilScan today.

It s a proof-based external vulnerability scanner for startups, SaaS teams, fintech products, and lean technical teams.

The problem I m trying to solve is simple:

Most small teams ship fast, but they don t always know what their external attack surface looks like. Traditional scanners often return long noisy lists, but not enough clear proof, context, or business impact.

DEXIMIND uses Claude under the hood, it is built for simplicity and speed.

Try it free - No credit card on https://www.deximind.dev/

• Step 0: Pin/Select your context for AI

• Step 1: Chat/Brainstorm/Speak with AI

• Step 2: Push "ANALAYZE" button to Organize/Execute

• Step 3: Repeat the loop 0-1-2 Reuse/ Selectively inject your existing context to AI makes execution speed go exponential.

Hey I built Prmptree, an AI agent that connects to your Gmail and runs in the background every hour. No prompts needed.

It automatically archives clutter, unsubscribes from mailing lists, flags urgent emails, and drafts replies to personal emails. You set the trust level from full approval control to completely autonomous.

Free to try at prmptree.com. Looking for honest feedback from anyone with a messy inbox.

Hey everyone

I'm Adam, founder of Swishr Desk.

I built this after watching talented

I've already have 24 days streak here in Product Hunt and watching almost all daily launches.

The pattern is hard to ignore - nothing ships without an AI angle anymore.

It seems like a must have in every single product.

What do you think, does a plain, well-crafted and useful product even have a chance in this market?

I'm Amal Omar late-diagnosed ADHD, founder, and someone who has frozen in high-stakes moments and had to rebuild from there.

I'm building an ecosystem for the neurodivergent community that no one else is building end-to-end.

Neou is the intelligence layer an autonomous AI agent, a Prosthetic Prefrontal Cortex, that monitors executive function and acts on your behalf. It reschedules meetings, protects recovery time, and runs your day around what you can actually handle.