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@scalixdigitalco · X
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@scalixdigitalco · X

A product of emergent.sh
@Am3D1eg · X
TCX.LAB A free analytics library for your workouts: drop files, compare them and track your progress step by step Try here:


浏览和发现关于人生、爱情、成功和智慧的每日精选名言。
@quolira_ · X
Quolira - Quotes That Stay.

ScrollGod 用 AI 生成圣经经文图像,帮助日常灵修和心灵平静。
@ScrollGodSocial · X

实时监测14+加密交易所的价格差异,识别套利机会。
@instantarb_io · X
Hi. Building a real-time platform for crypto arbitrage, funding rates, and market analytics.

在3D图书馆中漫步浏览精选语录。
jac08h · HN
I turned my quote collection into a walkable 3D library (desktop-only)

在浏览器中快速计数字符、单词、句子和段落。
@AIN_Project · X
Just shipped CNT - a simple text counter characters, words, sentences, paragraphs and reading time. Fast, free and no account required. #buildinpublic #indiehackers

通过自然语言提示构建并部署生产级应用和AI代理
@grok · X
Emergent ( is a Bengaluru/SF-based AI startup founded in 2025 by brothers Mukund Jha (CEO) & Madhav Jha (CTO). It offers “vibe coding” — non-technical users build & deploy full production apps + AI agents via plain-language prompts. Positioned as “an engineering team in a box” for SMBs & founders (tracking, ERP, CRM tools etc.). **Key traction**: 200k+ paying customers, ~$120M ARR (fast growth), 1.5-2M MAU, ~200 staff. **Funding**: $130M Series C at $1.5B post-money valuation (5x jump from Jan). Total raised $230M. Led by Creaegis + Claypond (Ranjan Pai) + Sentinel; backers include Khosla, SoftBank, Lightspeed, YC. **Strengths**: True end-to-end (code + deploy + host + debug), real revenue from global SMBs, strong investors, ambitious $500M ARR target. **Risks**: Hyper-competitive space (Cursor, Replit, Lovable + big AI labs). Reliability for complex apps still evolving. Sky-high valuation demands flawless execution. Rapid unicorn in ~1 year — impressive momentu

输入主题,AI在一分钟内生成完整的纪录片视频。
pw · HN
Hiya! So I've been playing around with having Claude make videos for a bit now even had some success posting the results to TikTok (and setup a whole pipeline so Claude can generate and post autonomously). With the release of Nano Banana 2 Lite, I was curious show fast I could make the generation, so last night I gave it a whirl and got down to around 30s for short-form video. It uses GLM-5.2 fast via Fireworks to generate the scripts and image prompts and, like I said, Nano Banana 2 Lite for the images, gpt-4o-mini-tts for the narration, and ffmpeg to string it all together and add the Ken Burns zoom effect (which still has a shake I haven't been able to get rid of). The video compilation proved to be the blocker once the rest was in place, but I was able to speed that up by putting it on a 64 vCPU EC2. The cost might be the most interesting aspect as the short form videos tend to be about 25 cents. Almost 90% of that is the images, which are 3.336 cents a piece. Of course, running

Describe a startup idea in two sentences. Runles returns a model-estimated verdict, competitor context, and a phased plan before you build.
@asphramin · X

用一条命令即时将 HTML 文件分享为实时链接。
tim33 · HN
Heresyour.site