@caseyyoshi · X

@AIWMCX1 · X

Consultants don’t need more noise. AIWMC Quantis helps turn messy business ideas into clear scenarios, runway views, and risk signals — so you can spend less time rebuilding analysis and more time giving the client a real answer.

@dev_bime · X

u/Additional-Study2600 · Reddit

Yaay!!! I finally got some subscribers to my platform after 6 weeks… any growth tips? Hey yall I’m super excited because after months of vibe coding and sleepless nights learning about repos, PRs, branches and commits to main lol I finally have a product I’m proud of and my first real revenue! The platform is called Underwrote.AI. it’s B2B and it’s somewhat niche… it’s underwriting software for hotel acquisitions (think institutional-grade Excel models, generated from a guided workflow). O

@mustloyaltide · X

everyone’s building with ai right now. i built something that deliberately doesn’t use it, just plain stripe data and some rules. turns out that’s enough to catch a customer before they leave. if you want to see it.

@tonylexfi · X

@MoodengCredit · X

Moodeng Credit — instant USDC microloans for underbanked borrowers in the Philippines, building on-chain credit history as they repay.

ds246 · HN

Spendict – a performance marketer's verdict for AI agents, over MCP

@Mikel_GM_ · X

Building a fintech platform to help retail investors audit stock balances with forensic accounting metrics (like Sloan, Beneish & DCF models) without the market noise📊🛠️

@sreebuildss · X

@lucasledonne · X

u/JustinMoose · Reddit

I built an app that flags when commission earners get underpaid, unpaid, or clawed back I sell insurance for a living, and a while back I realized I had no real way to know whether the carriers actually paid me correctly. You bind a policy, and 30-60 days later some commission shows up on a statement, and you just kind of trust the number. Across hundreds of policies and a few carriers, that's impossible to track in your head. So I built PayoutVerify. You log what you sold and what you expe