@Tonyjoixt · X

Instant SEO Meta Descriptions

@neimansview · X

zxhywork · V2EX

Muse Image AI Meta Superintelligence Labs 7 月 7 号发布了他们第一个图像模型 Muse Image ，内部代号 Mango 。玩了两天，这个模型有几个点确实有意思： - **Agentic 生成**：出图前先规划布局，需要事实的场景会联网搜，画完自查一轮再交稿，长 prompt 一次过的概率明显高 - **图内文字能看了**：海报标题、图表、甚至可扫的二维码都能直接画进图里，这是大部分生图模型至今糊掉的地方 - **多参考图合成**：从几张照片里分别取人脸、服装、产品、背景，融成一张不违和的图 官方入口在 Meta AI App / meta.ai / Instagram Stories ，国内用着别扭，还得装 App 。我就照着上一个站的路子做了个纯网页版：[museimages.io]( https://museimages.io/)。 产品上砍得很狠，只做图像，三个入口： - [Meta Muse Image 在线生成器]( https://museimages.io/ai-image-generator)

u/Structure-Visual · Reddit

I built an AI for meta ads - having trouble with early users, any suggestions? www.blot.dev I spent a few months talking to people irl, reddit, X, and so on and I think I built this thing that is really good. First off - saying AI for meta ads scare people because I get that people aren't exactly comfortable with AI running their ads. That's exactly the feedback that I got. What I found in my conversations is that people want an AI to guide and improve their workflow while they still

Ryze-AI-Adgent · GitHub

open-seo-mcp-skills Open-source SEO + GEO skills for Claude — keyword research, rank tracking, site audits, backlinks, competitor gaps, AI visibility. Runs on your real Search Console / GA4 / ads data via MCP, with DataForSEO built in. Free, MIT.

aiobe · HN

I built Commonplace because I wanted to learn more about Google's Open Knowledge Format for knowledge sharing with human and agents. At the same time, Atlassian announced it will start using customer cloud data to train its AI models (opt-out is Enterprise-only), which made a self-hosted Confluence alternative feel timely. The idea: - Use a Git repository that follows Open Knowledge Format with plain Markdown - Commonplace is just a stateless frontend on top (nice UI, but no database, no backups

@runnoclip · X

AI inference service that cuts your token bills by 50-90%

@0xxmemo · X

@jackson_saas · X

@fedeponte1 · X

my first saas. i think i built something people actually want and completely failed at the business side. would genuinely love help. openpaper ( writes full, cited research papers from a prompt. research, outline, writing, real citations, export. the honest numbers: - ~2,300 signups - ~1,500 generated a full paper. people actually use it. - ~5 have ever paid. ~$45/mo. activation is great, revenue is basically zero. i've been staring at this for weeks. the paywall is on export (pay ~$12 to download the pdf). but the full cited paper is right there on screen, free, you can read it and copy-paste it. so i'm charging for the gift wrap after handing over the gift. almost nobody even reaches checkout. 76% generate exactly one paper and leave. one-and-done, so subscriptions make no sense. the audience is mostly students and researchers on personal gmail, all over the world, almost none on university or company emails. traffic is x and github. so i genuinely can't tell

tosief · HN

GeoImageTagger – AI image geotagging and metadata editor

@sebuzdugan · X

building @getfrai , an open source toolkit that helps ML engineers navigate EU AI Act compliance, model cards, risk files, the boring but necessary stuff