pro_methe5 · HN

I scrape an $8.5M-ARR company run by AI agents and chart it live

@KsaAZaks · X

- Traffic Orchestration Platform

u/ornymo_official · Reddit

how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]

@batmanyussif · X

Check out what I just built with Lovable!

FLUX AI ART — 基于 Flux 的图像生成网站

@z_duane · X

@sadmandu55 · X

@_m3rl1n · X

Got 2 of em for ya. And a fun little side project literally built by the prompt the above generated:

@pashov_n · X

Anki style flashcards with a AI judging how well you understand a specific topic -

ava · Lobsters

@KSertttttttt · X

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