@mafaldateles_ · X

My first web app is out! I built a tiny tool to help answer a simple question: could that meeting have been an email? You decide.

@ProfHospLLC · X

@ivelin_dev99 · X

ProofNod solves unpaid scope creep for freelancers and small agencies. When a client asks for extra work, you send the price/timeline impact, get a clear yes, then start. Private beta opens July 1, first 50 founding members get 50% off.

@gleam_energy · X

Gleam — an energy management tool that helps people understand, optimize, and save on electricity. Utility data, EVs, solar, batteries, and weather combine to answer questions like "Why did my bill go up?" or "Would switching rate plans save money?"

@TusharArora89 · X

A free LOP splitter, salary proration, and PF ECR file generator for Indian payroll teams. Built around my own day job in payroll. No login, no ads. Already getting real usage across 8+ countries.

@eastbase_studio · X

@calculate_at · X

@GururajCC · X

The first version was honestly built just because we wanted to answer one question: "Is my vehicle actually becoming more expensive to run?" Turns out the answer is much easier when you have the data. Link:

u/Upbeat_Exam5410 · Reddit

Built an AI quoting tool for contractors — my neighbor was losing jobs because quotes took too long My neighbor runs a small moving company. Good guy, works hard. He kept losing jobs because by the time he emailed a quote, the customer had already booked someone else. He'd spend 20-30 minutes writing each estimate — pricing research, word it professionally, format it, send it. By the time it went out, it was too late. So I built QuickQuote AI. You put in the job details and GPT-4o generat

@adazlife · X

building milestone billing for digital agencies. invoice generates automatically when work is done, client approves, payment clears before the next phase starts. no more chasing

@HajimeOnodera_ · X

Just launched my first SaaS at 18 after 5 months! 🚀🚀 Check it out: For HR's and CEO's/Founders who have remote employees 👥👥

u/ahmedk2002 · Reddit

I built a real-time LLM API pricing comparator — because I was tired of not knowing the actual cost difference between models I use LLMs daily at work and kept running into the same frustration: provider pricing pages give you raw numbers per million tokens, but no way to understand what that actually means for your specific use case. Is GPT-4o really that much more expensive than Claude Sonnet for 10k requests per day? What about DeepSeek vs Gemini Flash for high-volume summarization? I