gfx · HN

Building a Rust-ish programming language with 100% coding agents: Wado

u/Lopsided_Working2023 · Reddit

I built a product that's like Lovable, but for data apps Hi all, I started a personal project just out of curiosity. The goal was to build an app that: Ingests from datasources to our platform Transforms Models Creates dashboards or other data products Refreshes the whole thing on picked schedule From a single, or a few, user prompts. The idea arose because I've noticed that agents are making LEAPS of progress at data engineering and analytics in a short time

dillon_silzer · Product Hunt

Oruk Speech AI that actually understands you

@LinguExcel · X

Become fluent in any language faster than ever by reviewing thousands of real life sentences. Treat language learning like a HIIT workout.

@Caleb_L509 · X

ai voice translation for calls

u/emidaboi · Reddit

My English was solid on paper, but I froze the second I had to actually speak. So I built a language partner that remembers you to practice with (24 languages). Hey everyone. I'm a senior CS student, kind of obsessed with AI/ML, and a solo dev. Bit of backstory: my English was always fine, but the moment I had to actually speak, I'd freeze and I didn't really have anyone to practice with. I tried a bunch of apps and they all felt like talking to a service bot polite, generic,

u/Live_Confusion_3003 · Reddit

I trained an LLM that runs on an ESP32 and directly in the browser Link to try it out yourself is: topk.sh The models download their weights directly in the browser so it works offline. Keep in mind they are very small and inaccurate. (8M and 13M parameters) However, I am building 500M and 1B+ parameter local models for agent based coding and other purposes. I will be shipping hardware designed for these tasks which connect directly to you computer or other device.

@Ram4c5 · X

🚀 Just launched Finovo by Aethra. A modern finance dashboard UI built with: ⚡ Next.js 16 ⚛️ React 🎨 Tailwind CSS Perfect for SaaS, fintech, admin panels, and analytics dashboards. 💳 Buy: 🌐 Demo: #buildinpublic #saas

chenglong-hn · HN

Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple

u/Wooden-Safe-6410 · Reddit

I built an AI powered language learning app (without creepy AI characters) Called it Speaka. I’m an expat in Germany and have had my fair share of struggling with the language specially being put on the spot and having to speak. So I have built a web app speaka.app to help. Free to try and use daily. Useful Functions: - Real life scenarios - Custom scenarios tailored to your level - Using the best AI speaking models for flow and tone - Feeback and improvements -

ATsimbalistov · HN

Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have to

@ArtAndAlgo · X

Please follow me my G! Fashion Photographer who’s been vibe coding since 2024