Everyone's racing to build AI products. I went the opposite direction.
Frikt is an app where people post their daily frustrations in one sentence. Others say "same." Patterns emerge. That's it.
No AI summarizing your problems. No algorithm deciding what's relevant. No infinite scroll. Just raw, real frustration posted by real people, every day.
Hey PH! I built Story Miner (novelcat.io) a web app that analyzes novels and screenplays using a hybrid of deterministic NLP and LLM-powered narrative analysis.
Tomorrow we re launching Notchup Talent, a platform that helps teams hire and pay global tech talent faster and more efficiently.
With AI-powered matching and a vetted talent network, Notchup makes it easier for companies to find the right engineers and manage global payments without the usual complexity.
We launched git-lrc free, unlimited AI code reviews that run on every commit. Our mission is to make AI code review engineer-centric, free, and accessible to developers everywhere. GenAI accelerates development, but it can silently introduce subtle breakage. git-lrc fixes this by reviewing every diff before it lands. If this resonates, we d genuinely appreciate your support and a vote. https://www.producthunt.com/prod...
The Problem: As a nomad, I hated cashing out my USD/EUR only to see the rate jump 1% the next day. It s like taking a pay cut just for having bad timing.
The Solution: I built Payding a simple, privacy-first utility that tells you when to cash out.
You log your payment, and Payding benchmarks it. Instead of just "tracking rates," it tracks your profit.
I kept running into the same issue when testing repository layers that rely heavily on SQL.
Integration tests with a real database are essential, but they slow feedback cycles and add infrastructure complexity. Mocks don t catch real SQL issues, and SQLite often introduces dialect differences that require adaptation.
So I built an open-source in-memory SQL engine for .NET to validate SQL behavior during unit tests.
It plugs into IDbConnection, allowing repositories (Dapper or raw SQL) to run unchanged while keeping tests fast and deterministic.
Vedu is a smart movie discovery and streaming app designed for movie lovers who want to spend less time searching and more time watching. With Vedu, you can:
Discover New Movies: Browse curated lists, trending films, and hidden gems across all genres.
Personalized Recommendations: Get suggestions tailored to your taste using intelligent algorithms.
Seamless Streaming: Watch movies directly in the app or find the best streaming platform for each title.
User-Friendly Interface: Navigate effortlessly with a clean, fast, and intuitive design.
Offline & Multi-Device Support: Download your favorite movies to watch offline on any device.
