Egor Malkevich

Знаете, я думаю в 2026 будет проходным годом, а вот в 2027 мы увидим действительно другую игру в мире айти и технологий youtu.be/3efmTTUj3W0

There is a stupid amount of MONEY in this. • Add /.json to the end of any Reddit URL • Instantly get the entire thread • Every reply (to n-th depth) • All metadata • Clean, structured JSON Then: • Feed it to an LLM • Extract pain points • Detect buying intent • Surface patterns no human will manually read Niche sub-reddits are unmined gold. People literally tell you what they want. You just need to listen at scale.

Absolutely EVERYONE is sleeping on the cooking app niche This page is pulling in 30Mviews/mo+ with a simple "healthy eating" format You can just vibecode a COOKING app in 72 hours: → hire 2-3 creators like this one → 25+ high quality reels/mo → or make the content yourself and you're looking at an easy $20k/mo+ app The competition is surprisingly low in this niche who is building this?

A wonderful animation of Beethoven's 5th Symphony.

Meta's segmentation models are insanely underhyped. The latest release - SAM Audio - allows you to search for ANY sound across a video, isolate it, and apply effects. Watch me take a travel vlogger's noisy clip and remove the background audio so he's way easier to hear 👇

butt types

Implementations of 17+ agentic architectures github.com/FareedKhan-dev…

Agentic Context Engineering The code for the paper is finally out! I had built an implementation for this (not exactly the same) that already boosted performance for my agents. Evolving context for AI agents is a great idea. Official implementation out now! github.com/ace-agent/ace

Для меня это оказалось важным, и поэтому я хочу вам предложить вступить в клуб VMESTE. Что бы вместе прокачиваться и адаптироваться к новым технологиям и рынку. Иметь на руках больше возможностей. ​​vmste.org

Банальные вещи, но их достаточно, что бы простым способом двигаться вперед и улучшать свою жизнь. Парни меня поймут, что хорошие доходы, предсказуемый путь позволяют содержать семью, и не быть все время в работе.

Давайте объединимся в VMESTE Сделать, что то свое и классное. А еще и заработать на этом очень трудно. У меня за плечами десятки проектов, которые по тем или иным причинам погибли.

China's Bytedance just dropped an AI video editor that understands video better than even Gemini 3 Pro. Vidi2 can take in a bunch of footage many hours long and a prompt, and construct a script and generate a TikTok or movie from them.

Cursor for video editing doesn't exist for a reason. Since I've been tagged under this post multiple times and we have first-mover advantage in the space, I felt obligated to share our findings and explain why video editing isn’t on the same level as code editing (yet): - There is no "VS Code for video editing." There's no open source professional video editing UI that fits this use case, so you first need to build an AI friendly editor before anything else. Adding AI on top of that is the easy part. - Building NLEs is VERY VERY hard. If you're building one from scratch you'll spend at least 2-3 years (full time) on table-stake features, and there are very few ways to make money before that. On top of that you have to operate in one of the hardest problem spaces in software engineering. I've seen countless video editing startups fail due to technical complexity since I started this company in 2023. - You'll have to master delayed gratification. With 2-3 years just to build the foundation, you'll have to say no to a lot of temptations, like building a VS Code fork instead that can generate serious revenue in a few months. And once it becomes plausible that you can succeed at building a competitive NLE, you'll get a flood of job offers from well funded startups and corporations that you need to resist. You have to genuinely care about video processing and be intrinsically motivated by something other than "I want to make money fast." - There is no StackOverflow or GitHub for video editing. You have to teach LLMs a lot of custom constructs, whereas they already have billions of lines of general code in their training data. - Multimodal requirements are a huge challenge. A coding agent only deals with text in and text out. A video editing agent needs to handle audio, video and images at the same time, which is far harder to process and much more expensive. - Chat is not the best UX for video editing. Often it’s faster to just make cuts on the timeline than type instructions into a chat box and wait for the result, especially when the LLM makes lots of mistakes that you then have to fix. Our view is that it’s better to have AI actions you can trigger with a button than to describe everything in a prompt. - Videos require far more bandwidth than text. Uploading footage to the cloud can take hours, while text is instantly accessible anywhere. We experimented with local models (FastVLM), but that path is a dead end due to context window limits. You’re better off with an upload flow. At Diffusion we don’t see a chat sidebar as our core advantage, but as a helpful feature in specific situations. We’d rather invest the majority of our time into building the best NLE UX than trying to automate everything.

Introducing: AI Researcher 🧪 A Gemini 3-powered multi-agent AI system that autonomously runs ML experiments Just give it a research question, and it will: - Design experiments - Spin up specialist agents with their own GPUs to run them - Write a paper And it's open-source!

Real-time audio transcription. Entirely on-device. This hands-on tutorial shows you how to build it from scratch. No cloud dependencies, no API calls, complete privacy, using LFM2-Audio-1.5B by @liquidai Enjoy ↓ github.com/Liquid4All/coo…

“Mom how did we get so rich?” “Your dad listened to Nikita and posted about plumbing for 180 days.”

@beginnersblog1 Nano

Nano Banana is insane but 99% don't know how to make serious money with this. Smart People are already pulling in $5K–$20K/month. I prepared a PDF covering 100 SIDE Hustle ideas you can use to make serious money. It's 100% FREE Want this? Follow Repost Comment "Nano"