@GABRIELxCxR · X

Completely free and private finance tracker!

@improvemypage · X

to help SaaS builders increase their conversion rate

@sakibhasandev · X

Here's mine :)

@franciscobuilds · X

1. Building Tabkeel, an AI-powered analytics platform for SaaS products 2. For founders and teams who want to actually understand and act on their data 3.

@MrPenetratorTP · X

MrPenetrator helps businesses monitor their website’s trust, security and performance before problems affect their visitors.

@ericbuildsio · X

Fix your habits with public accountability @publichabits

@luqmandv · X

I built a free security scanner for vibe-coded apps. You shipped with Cursor, Bolt, or Lovable. But did you check if it's actually safe? Paste your URL → get a plain English security report in 30 seconds. No setup! 👉 #buildinpublic #vibecode

logphase · HN

I've always struggled to hold a large PR in my head. AI-assisted coding has made it worse. Especially when dozens of files are modified, it became harder to understand what changed: distinguishing important changes from trivial ones and identifying if regressions were introduced. I was also tired of switching between file and method to build the whole picture in my head — I wanted all the context at the point of the function I was reviewing. I guess I'm just more of a visual person. I realized t

u/dooddyman · Reddit

I launched 2 SaaS. First failed brutally. Second hit $5k MRR in 3 months. What worked and didn't. tldr: My first AI SaaS failed because I built blindly, outsourced marketing, and had no clear ICP. My second product hit $5k/mo in 3 months because I built an audience first, obsessed over SEO and distribution, and targeted a specific niche. I launched my first AI SaaS last year, kept it alive for about a year now. It's making less than $50 mrr and i'm thinking of closing it. Here's what went

u/maybeImakemoney · Reddit

I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav

sanabano · Product Hunt

GPTOne Free AI detector for ChatGPT, Claude, Gemini & more

ssgonella · HN

QuantumReckon – find your real cloud and AI spend, including tokens