FantasyGen — AI 生成奇幻地图和人物

@im_pradee_p · X

Backend as a service

@uxfaruk · X

@jitendraballa · 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

@DaiwikShashi · X

Building Scribur — the operating system for in-house UGC teams. We help in-house teams manage campaigns, content ideas, scripts, submissions, revisions, approvals, creator communication, and performance tracking all in one place.

u/Glittering_Stage4118 · Reddit

Building a company brain that can host any interface I’ve always felt like company knowledge is way too fragmented. Docs live in one place, support answers in another, marketing content somewhere else, and internal know-how is usually buried across tools, Slack threads, and old pages. Even when companies have the knowledge, turning it into the right interface for the right audience is still way too hard. I’ve been building Sophic to solve exactly that. At its core, Sophic

u/dooddyman · Reddit

I launched 2 SaaS. First failed brutally. Second hit $5k MRR in 3 months. What worked and didn't. tldr: My first AI SaaS failed because I built blindly, outsourced marketing, and had no clear ICP. My second product hit $5k/mo in 3 months because I built an audience first, obsessed over SEO and distribution, and targeted a specific niche. I launched my first AI SaaS last year, kept it alive for about a year now. It's making less than $50 mrr and i'm thinking of closing it. Here's what went

lemma1729 · HN

Hi HN, This is ProofTree, and in TLDR: it is a platform where you can chat with an AI to do math, the way you already do, with context-awareness and knows how you personally do math, connected to the fora of other live human mathematicians. So, when you are talking to an AI about a proof at 3 am, and you need a human expert looking at it, or a discussion around it, like you do on StackExchange, this is it! You need an approved email account to use it, so please write here if you would live to try it out.

@AbosiGodwin · X

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]

@DacyoUI · X

- automate your blog and content publishing