Stefan

@seyong 100%

will ship a mouse to whoever gets the closest guess on what % of fomo volume goes through web this week

@ModestMitkus would love to know, one issue that i hit all of the time is being in the eu and trying to get a us audience with five accounts, slows everything down

@stfvsl Mix of things, will share more about distribution one day

My first mobile app just hit 991 subscribers! Only 9 away from 1,000! Stop overthinking, just start.

@levionchain3 overall for a year, this one made in two days

@stfvsl Oh cool how long have you been building?

This is how easy it is to swap faces now, dont you find it disturbing?

@levionchain3 yup inspired from someone who made the same thing

@stfvsl mhmm is that what you’re building Stefan?

tool is swapped.space btw

@icanvardar first of all, prove it to me

prove me you're not an ai

@qkl2058 I found a better one called swapped.space

怎么靠AI加TikTok做搬运赚钱，方法其实特别简单，三步就搞定。 第一步，打开Swaptok这个工具。 第二步，用Grok生成你想替换上去的脸，然后上传。 第三步，把你打算搬运的TikTok或者Reels视频链接贴进去，点一下“生成”，完事。 整个过程不到30秒，一个搬运视频就出来了。这意味着什么？意味着你可以批量、快速地生产内容，特别适合做AI网红账号，或者那种“前后对比”类的带货视频，UGC广告素材可以流水线一样往外跑。 有了这些素材，你可以同时跑好几条线：运营AI网红账号、接广告制作的单子、给自己的产品做推广素材。 这个方向你要是真扎进去好好做，月营收做到十万美金，速度会比你想象中快很多。

@sanchitmonga22 @trq212 oh so he goes into a thought loop lol

@stfvsl @trq212 And

"everyday we're trying to obtain more compute to pass on to you, we're sorry if it takes sometime but we're going to acquire as much as we can" you heard the man

@BreejeAnadkat well i'd just tell claude to copy assets and css 1:1 then use gpt-image 2.0 to regenerate assets, even though they wont be animated, not a rip-off anymore

Non-designers: “I vibe coded this” “I vibe coded that” Designers: I dare you to vibe code this.

@Vasu_Devs well, you can actually get cloud phones or other resellers of accounts with a residentai lrpoxy to bypass the ban in India

@stfvsl Ok ill try these things out , tiktok is banned here so that's out, but I'll do the reddit thingy as soon as i have a website and download able. Exe

I’m open sourcing JustHireMe 🚀 A local-first Agentic AI desktop app I’ve been building to make job searching more intelligent, transparent, and user-controlled. GitHub: github.com/vasu-devs/just… The current job search process is broken. Candidates spend hours scrolling through: stale job posts irrelevant roles spammy listings senior-only positions repeated listings across platforms jobs with almost no useful context And most AI job tools either scrape too broadly, rank opportunities like a black box, or try to automate applications without giving the user enough control. I wanted to build something different. JustHireMe is designed as a personal job intelligence workbench. Instead of blindly applying everywhere, it helps users discover better opportunities, evaluate them against their real profile, and generate tailored application materials while keeping sensitive career data local. What it can do: Ingest resume/profile data Build a local professional profile graph Discover job leads from multiple sources Filter out low-quality or irrelevant postings Score roles based on explainable fit Match jobs using graph + vector search Generate tailored resumes Generate cover letters Draft cold emails Draft LinkedIn outreach messages Track leads in a local CRM-style pipeline Keep the user in control through a human-in-the-loop workflow The main principle behind the project is: More signal. More explanation. More local control. Less blind automation. The tech stack: Tauri for the desktop shell React + TypeScript for the frontend Python + FastAPI for the backend sidecar SQLite for local lead tracking KuzuDB for graph-based profile modeling LanceDB for vector search and semantic matching Playwright for experimental browser automation One of the biggest goals is privacy. Your resume, career history, generated documents, job leads, application notes, and API keys should not have to live on someone else’s server by default. JustHireMe is built around a local-first architecture so users can keep ownership of their data while still benefiting from modern AI workflows. Another major goal is explainability. I don’t want an AI system that just says: “This job is a good match.” I want it to explain: which skills matched which projects support the application what gaps exist why a role was filtered out why a role deserves attention what to highlight in the resume or cover letter That matters because job search is not just a productivity problem. It is personal. It affects confidence. It affects opportunity. It affects people’s careers. The project is currently in alpha, but the foundation is in place. I’m looking for contributors interested in: Agentic AI AI agents workflow automation job source adapters web scraping ranking algorithms GraphRAG vector databases semantic search resume parsing document generation local-first software privacy-first AI UI/UX testing and documentation If you’re a developer, designer, AI engineer, student, or someone who has felt the pain of modern job searching, I’d love your feedback, ideas, issues, PRs, or even just a star ⭐ Repo: github.com/vasu-devs/just… Let’s build a better, more transparent job search system together. #OpenSource #AgenticAI #AIAgents #RAG #GraphRAG #Python #FastAPI #ReactJS #TypeScript #Tauri #VectorDatabases #JobSearch #CareerTech #Automation #PrivacyFirst

@RaminNasibov Dracula

Tell me your nationality without telling me your nationality.

@adriankuleszo pretty good yeah

Does framer support MCP? Is it any good?

@Vasu_Devs Same way you posted this + collaborate with HR companies to offer this / just promote yourself and make into SaaS, do Reddit comment seeding, TikTok posting, look at viral formats in this niche and try out different type of videos

@stfvsl True , thats quite helpful, but how do k sell this?

@Vasu_Devs holy slop

pitch-pit sounds like another gimmick. Crowd voting on startup ideas? That's a recipe for mediocrity. Real innovation needs more than just popularity contests.

@nicdunz you don’t.

ok now how the actual hell do i get this off