@Bim_evaporates · X

Check out DMs open

u/eashish93 · Reddit

I built an AI SEO tool that hooks into Search Console and tells you which articles to fix I've been building Kitful for a while because AI writing tools drove me a little nuts. Most of them are just volume machines: generate 200 articles, hit publish, pray something ranks. Usually nothing does. Kitful still writes the article, but the part I actually care about is what happens after. It connects to your Google Search Console, watches how each page performs, and flags the one

@Anwaritoovvy · X

I’m opening the beta for Remotely. Remotely is an AI operating system for companies — a company brain inside a 3D workspace where teams, tasks, dashboards, communication, and AI agents come together. Try it here: I’m looking for feedback from founders

QWQ AI Assistant — 免费提供经过深思熟虑且富有详细推理的答案的 AI 助手，不需要登录

zhiheng_huang · HN

Sharper – an AI office agent grounded in your knowledge, with citations

@CallSlim_ · X

@RanRan1357699 · X

Just shipped a smart guardrail in experiments: if your flow needs test data, it now blocks runs with a friendly prompt and offers one-click AI-generated samples. No more silent all-fail runs! Small details, big peace of mind. #BuildInPublic

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]

@cviklihamar · X

here 🙌 let's connect! - an ai agent that clears your team's todos (ships code, runs your tools). let's connect!

@durdom_evm · X

Chinese team at just dropped ZCode 3.0 and it's quietly reshaping the agentic coding landscape while everyone's waiting on Anthropic's roadmap here's what matters: GLM-5.2 is trading blows with Opus 4.8 on the benchmarks that actually count. 81.0 vs 85.0

u/maybeImakemoney · Reddit

I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav

@GlenLouis08 · X

lets connect! building this