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heyrimsha

Rimsha Bhardwaj

Verifiedactive
@heyrimsha

Helping you master AI daily with step by step AI guides, & practical tools • AI Educator & Writer • DM for Collab

RosterAI Agents & Productivity ToolsTech Career & Coding Education
25,061 followers · 222 following · Last polled 58m ago
Perf. Score
78.2
Rank #26
Value Score
74.7
#67 of 273 priced
Median views
10K
p25 5.2K · trailing 7d
Followers
25K
+1.0% 7d
ER (impr.)
5.09%
eng ÷ impressions
ER (foll.)
2.46%
eng ÷ followers
Est. CPM
$9.53
QT-rate basis
WoW views
-54.2%
▼ falling

Rates & value · est. from 10K median organic views

underpriced
Quote tweetbasis
$100
$9.53 / 1K views
Post
—
no CPM
Thread
—
no CPM
Retweet
—
no CPM
Value Score 74.7 · rank #67 of 273 priced$462.96 / 1K engagementsrate age unknown (pre-audit import)

Trends

Follower growth
Median views / day
Engagement rate
View distribution · trailing-7d posts

Each blue dot is one organic post. The Performance Score ranks by the median (10K), not the mean (12K) — so a single viral post doesn't inflate a creator's reach. The p25 floor (5.2K) is the level 75% of posts clear.

Recent posts · ranked by views

PostPostedViewsLikesRepostsRepliesQuotesBookmarksER
GitHub has officially gone insane. You can now build an entire AI content factory without hiring a single person. 10 ridiculously powerful repos: 1. OpenCreator Give Codex a creator workspace to write scripts, generate images, create voiceovers, translate videos, and edit content. https://t.co/YFG5tZRhTf 2. Social Media Research Skills Give Claude Code and Codex skills to find standout posts, study competitors, mine comments, and pull hooks from video transcripts. Powered by ScrapeCreators. https://t.co/XOW8tV0URo 3. Local Deep Research Turn a topic into a research report by searching the web and your documents. Works with local and cloud AI models. https://t.co/XVSzkcfXzu 4. FLUX.2 Generate and edit images for thumbnails, social posts, and campaigns. The Klein 4B models come with Apache-licensed weights. https://t.co/WiqsJCwkns 5. Kokoro Turn your scripts into AI voiceovers using a compact, open-weight speech model. Build narration directly into your content pipeline. https://t.co/8Ffw7c5mOs 6. ACE-Step 1.5 Generate music from text descriptions, create instrumental tracks, and regenerate sections of audio. Runs locally on supported hardware. https://t.co/Rl76BjNO0H 7. Short Video Factory Turn prompts and your footage into batches of short videos, with AI-written copy, voiceovers, automatic editing, and subtitles. https://t.co/6YbGCSwZl2 8. AI YouTube Shorts Generator Turn long YouTube videos into vertical Shorts with AI-picked highlights, transcription, and automatic cropping. https://t.co/kpYkdsZcd9 9. Podcastfy Turn source material into AI podcast conversations. Customize the dialogue and generate audio in multiple languages. https://t.co/RBY68LBify 10. Social Media Agent Turn a URL into X and LinkedIn posts. Review the drafts, make changes, and schedule them through an AI agent workflow. https://t.co/ZFweXXrFzF Which part of your content workflow are you automating first?frozen
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Github is hiding the cure for ugly AI-generated websites. Claude Code and Codex keep making the same boring, generic UIs. These repos change EVERYTHING. 10 GitHub repos that make AI build websites that look like they cost $20,000: 1. Superdesign Skill Give Claude Code and Codex a design canvas to explore multiple UI directions before writing code. https://t.co/6vHb3zp4Ve 2. Better Design 31 design systems inspired by Apple, Stripe, Linear, and Vercel. Real design tokens and rules for AI agents. https://t.co/bjrlCr2YiA 3. Design Taste 24 AI design skills covering typography, colors, layouts, and visual styles like quiet luxury and Japanese minimalism. https://t.co/Vk1sWy09tj 4. Canvas UI GPU-powered effects: liquid distortions, glass shattering, particles, and interactive 3D scenes. https://t.co/shqqcN5fUD 5. Paper Shaders Animated mesh gradients, fluid backgrounds, and stunning shader effects for premium landing pages. https://t.co/7CNssZzYUb 6. UI Layouts Creative React components with image ripples, 3D blobs, draggable elements, and animated reveals. https://t.co/C1fINdQSod 7. Hyperiux Components 50+ free visual effects, including image trails, cinematic navigation, and WebGL animations. https://t.co/oBtNDdRlxY 8. Motion Primitives Beautiful micro-interactions, morphing dialogs, text animations, and smooth transitions. https://t.co/VaIhNxGwoG 9. Cursify Turn boring mouse cursors into interactive experiences with spotlights, trails, bubbles, and spring animations. https://t.co/WwSwcajxaK 10. Trickle UI Kit 47 text animation effects, including pixel reveals, character shatters, typing effects, and cinematic headlines. https://t.co/HeYeTESA5j Which one are you trying first?frozen9d ago55K643653331.7K4.51%
GitHub is basically giving away millions of dollars worth of software for free... you just need to know where to look. Here are 7 insanely useful GitHub repos you'll wish you found earlier: 1. https://t.co/aMdB76VFZc A fully local ElevenLabs. Clone a voice, design new ones, dub videos, transcribe, and generate audiobooks across 646 languages, all on your own machine with no account and no API key. ElevenLabs charges per character for this. 16.7K stars, AGPL-3.0. 2. https://t.co/dUtviD7jXW If a single AI agent is an employee, this is the whole company. A dashboard that runs a team of AI agents like an org, with goals, budgets, and an org chart. Bring any agent from any provider, assign work, and watch the whole thing run from one screen. MIT. 3. https://t.co/5e0Y3lPPVi Describe a trading idea in plain English and it writes, tests, and exports the strategy. 29 expert agent teams, 6 data sources across stocks, crypto, and forex, and 7 backtest engines. The research desk a fund pays analysts to staff. Research and backtesting only, not live trades. 4. https://t.co/zs72vjs1NS A spy-satellite simulator in your browser, except the data is real. Live open-source spatial intelligence, ships, planes, satellites, on a photorealistic 3D globe. The kind of thing that looks like a movie prop and runs on your laptop for free. 5. https://t.co/6arXmEgLad An entire interactive classroom run by AI agents. One click drops you into an immersive, multi-agent lesson where different agents teach, quiz, and guide you. A private tutoring team on demand. 29.9K stars. 6. https://t.co/fxLtOPAqb5 Run powerful AI models on the hardware you already own. It scans your machine, recommends the best open models for it, and tunes them to your exact setup, on Apple Silicon, NVIDIA, AMD, or just a CPU. One click connects your agent. Stop paying per token. 7. https://t.co/WjnobM8wAN Own your SEO. Research keywords and spy on competitors on your own terms, with no monthly seat fee to a marketing suite. The paid SEO tools charge hundreds a month for exactly this. 100% open source, MIT. Most people will scroll past this and keep paying for all of it. The ones who bookmark it never go back.frozen25d ago39K560118931.3K5.08%
GitHub is hiding some absolutely INSANE AI video editing tools. These open-source repos can turn hours of boring editing into minutes of work. 10 powerful GitHub repos every creator should bookmark: 1. OpenChatCut Edit videos by chatting. Let AI adjust clips, transitions, captions, effects, and audio while keeping the timeline fully editable. https://t.co/utEGOA4Pgr 2. FireRed-OpenStoryline Describe the edit you want. Cut and reorder footage, remove filler words, and clean up repeated sentences through natural-language instructions. https://t.co/maktqr5Sk8 3. AutoClip Turn long podcasts, interviews, and lessons into short clips with AI-selected highlights, subtitles, covers, and publishing copy. https://t.co/o2omwizwwy 4. Herk Edit Kit Give Codex or Claude Code editing skills for cutting dead air, finding mistakes, adding captions, arranging B-roll, and building motion graphics. https://t.co/MfmKIQoZ7u 5. AutoSubs Generate subtitles locally, identify speakers, and send captions into DaVinci Resolve, Premiere Pro, or After Effects. https://t.co/wwfJ17C5vI 6. StoryToolkitAI Search your footage by meaning, find relevant moments, and assemble story selections you can export into your editing software. https://t.co/mjXiKDKTNH 7. FunClip Cut videos by selecting words from the transcript. Choose passages or speakers, then export the matching footage with subtitles. https://t.co/CJjXLGWg1J 8. NarratoAI Create commentary edits from existing footage with AI-assisted scriptwriting, automatic cutting, voiceovers, and subtitle generation. https://t.co/52mJXJO12d 9. BackgroundRemover Remove backgrounds from videos with AI. Export transparent footage, replace backgrounds, or process an entire folder through the command line. https://t.co/1763IlQhMg 10. LatentSync Match mouth movements to replacement dialogue or dubbed audio with ByteDance’s lip-sync model. Requires a capable GPU. https://t.co/oIaBWqhmKt Which editing task would you automate first?frozen5d ago25K5671041939126.34%
GitHub is a GOLDMINE for game developers. I found 10 open-source projects that make building ambitious 3D games with Claude Code and Codex much easier. Save these: 1/ Claude Code Game Studios https://t.co/6KYSJbyK7R Turn Claude Code into a coordinated game development team with specialized agents for coding, design, art, and testing. 2/ Godot Engine https://t.co/dgeH3l8bvQ A complete open-source engine for building 2D and 3D games, including gameplay, animation, physics, and rendering. 3/ Blender MCP https://t.co/viw7F8xVNt Control Blender with Claude Code or Codex to help create and edit 3D objects, scenes, and game assets. 4/ Terrain3D https://t.co/3mdcZ7VVYX Build massive 3D landscapes with terrain sculpting, texture painting, foliage, and level-of-detail support. 5/ Godot Jolt https://t.co/bypWJdbroe Add Jolt physics to your Godot game for realistic collisions and rigid-body interactions. 6/ LimboAI https://t.co/cHdGmNfzxM Create smarter enemies and NPCs using behavior trees and state machines. 7/ Dialogic https://t.co/NoO0ts5tsR Build branching conversations, character interactions, and dialogue systems for story-driven games. 8/ Phantom Camera https://t.co/SBHnsMjPbO Create cinematic camera movements, smooth transitions, and dynamic gameplay camera systems. 9/ Meshoptimizer https://t.co/0hXd6tUAAx Optimize 3D models to reduce file sizes and improve rendering efficiency. 10/ Godot Demo Projects https://t.co/CUqaeyZRyT Explore working game templates and examples for 3D gameplay, graphics, networking, and more. What did I miss?11h ago25K550562239896.56%
GitHub is hiding some insane stuff... 10 GitHub repos that feel illegal to know about free AI tools, crazy automations, and open-source projects that should probably cost thousands you'll regret not saving #7: 1. https://t.co/savKVLqshv A hedge fund built out of AI agents. Buffett, Munger, Burry, and Cathie Wood each analyze the same stock from their own philosophy, then a portfolio manager makes the call, with backtesting built in. The research team a fund pays analysts six figures each to staff. 51K stars. Research and education only. 2. https://t.co/vVvwr4rcBl Tell it what you want in plain English and it scrapes any website and hands back clean structured data. No selectors, no brittle scripts that break when a page changes. The scraping infrastructure companies sell for hundreds a month, running on your own machine. MIT. 3. https://t.co/RUAgxN6PuC A live AI notetaker that records, transcribes, and summarizes any meeting entirely on your own device. No Otter, no Zoom AI, nothing uploaded to a server. The thing that charges per seat at work, running fully local and offline. 3.3K stars. 4. https://t.co/SBboFCteTJ Midjourney, Freepik, Krea, and OpenART in one self-hosted studio. 200+ image and video models including Flux, Kling, Sora, and Veo, behind a single interface with no markup. Four subscriptions collapse into one repo. MIT. 5. https://t.co/0ocNXA6XsE Your own private ChatGPT that reads your files. Drop in documents, notes, and PDFs and ask questions across all of them, running on models you control instead of shipping your data to a company. A second brain that stays on your machine. 30K+ stars. 6. https://t.co/XG36JV5TO2 A drop-in replacement for the OpenAI API that runs on your own hardware, no GPU required. Point any app that expects ChatGPT at this instead and it just works, for free. The API bill every AI app assumes you'll pay, deleted. 42K stars. 7. https://t.co/iUu2IyXU5J A Bloomberg Terminal for free. Equities, options, crypto, macro, and fundamentals pulled from dozens of data vendors into one workspace with an AI copilot on top. A Bloomberg seat costs $24,000 a year. This does the core of it for $0. 68K stars. 8. https://t.co/HM3HW0vInP Studio-quality text to speech that runs locally, with voice design and cloning across 17 languages from a short sample. The engine a lot of the AI voice world quietly builds on. Narration and audiobooks without paying per character. Note the model is non-commercial. 9. https://t.co/pxvkAxycnq Take a blurry, low-res photo and upscale it into a sharp, high-resolution image using AI, entirely on your own machine. The thing photo studios and paid web tools charge per image for, running free and offline on your desktop. 35K+ stars. 10. https://t.co/WMIrWsox8A Turn any AI model into a toolbox of ready-made commands, summarize this, extract the key points, rewrite this, explain this code, all runnable from your terminal in one word. Built by a security researcher to make AI actually useful day to day. 30K+ stars. Most people will scroll past this and keep paying for all of it. The ones who save it never go back.frozen23d ago24K247471026233.89%
Video editors are going to hate this. GitHub has free tools that can automate subtitles, remove silences, clean audio, and speed up editing. Here are 10 repos that feel like cheating: 1. Auto-Editor Automatically cut dead air from recordings. Adjust the pauses you keep and export editable timelines for Premiere, Resolve, or Final Cut. Free command-line tool. https://t.co/2DNwFgdzIk 2. AutoSubs Generate subtitles on your computer, identify speakers, and send captions directly into DaVinci Resolve, Premiere Pro, or After Effects. https://t.co/wwfJ17C5vI 3. DeepFilterNet Suppress background noise in voice recordings locally. Clean up your audio track before putting it back into your video. https://t.co/rUJpRXyaaj 4. Audio Separator Split vocals and instrumental music into separate tracks using pretrained models. Process the parts independently instead of fighting the whole mix. https://t.co/eb0AEI7YNX 5. PySceneDetect Automatically detect scene changes and split long videos into individual clips. Export timestamps without manually marking every cut. https://t.co/NDeSD4LdF4 6. FFsubsync Fix subtitles that appear too early or too late. Automatically align an existing subtitle file with the speech in your video. https://t.co/U43FzHjL8j 7. FunClip Cut videos by selecting words from the transcript. Choose passages or speakers, then export the matching footage with subtitles. https://t.co/CJjXLGWg1J 8. StoryToolkitAI Search your footage by meaning, find relevant moments, and assemble story selections you can export into your editing software. https://t.co/mjXiKDKTNH 9. Shutter Encoder Convert and compress footage through a desktop interface built around FFmpeg. Prepare your media without memorizing command-line options. https://t.co/tnll2awcWT 10. Editly Assemble videos from reusable instructions. Combine clips, images, titles, transitions, and music, with automatic audio ducking and normalization. https://t.co/Rx48ccKx7b Which editing task wastes the most time for you?frozen3d ago12K196301203645.04%
Most AI hardware asks you to bet on the future. SpeakON is useful today. Voice Keyboard and Notes already do the job. The Agent layer adds reminders, email and scheduling on top. And it all starts from the same place you already talk.2d ago10K13010150.28%
GitHub is literally a goldmine for developers... but 99% don't know where to look these 10 repos can make you a 100x developer bookmark them before you forget: 1. https://t.co/wmgElnIOw6 Point it at a GitHub issue and it reads the bug, writes the fix, runs the tests, and opens a pull request on its own. Formerly OpenDevin, now 70K+ stars with a 72% score on real engineering benchmarks. Hand it your backlog at night, wake up to finished PRs. MIT. 2. https://t.co/CY1AYuojNv An enterprise AI gateway that routes all your AI traffic through one OpenAI-compatible endpoint across 15+ providers, with governance, monitoring, and guardrails built in. 50x faster than the alternatives, adding about 11 microseconds of overhead at 5,000 requests a second. The control plane for a serious AI stack. 3. https://t.co/Sk1oICRQZw An AI agent that drives a real browser like a person, clicking, logging in, and filling forms on sites it has never seen. Two ETH Zurich researchers built it and it hit 95K stars in a year. Hand it the repetitive web work and walk away. MIT. 4. https://t.co/Xos2ZM3NSq An open-weight 309B coding model with only 15.5B parameters active at once, so it runs far lighter than its size suggests. Native 1M-token context and inference up to 2,000 tokens a second. A frontier-class coding model you can run yourself. MIT. 5. https://t.co/VKKbmtSPSv An agent that lives in your editor, plans a task, then creates files, runs commands, and fixes its own errors, pausing only when it needs your okay. You approve the plan, it does the labor. The closest thing to handing your IDE to a tireless junior dev. 40K+ stars. 6. https://t.co/WMIrWsox8A Turn any AI model into a toolbox of one-word commands, summarize this, extract the key points, explain this code, all runnable from your terminal. Built by a security researcher to make AI actually useful in daily work instead of just a chat window. 30K+ stars. 7. https://t.co/bkFL0nhz8D A coding agent in your terminal that edits your real codebase across many files and commits each change to git as it goes. Describe the feature, walk away, come back to working code with a clean history. One of the most loved AI dev tools there is. 30K+ stars. 8. https://t.co/iUu2IyXU5J A Bloomberg Terminal for free. Equities, options, crypto, macro, and fundamentals from dozens of data vendors in one workspace with an AI copilot on top. A Bloomberg seat costs $24,000 a year. This does the core of it for $0. 68K stars. 9. https://t.co/6dDIquNgE7 Microsoft's own tool that converts any file or web page, PDFs, Office docs, HTML, images, into clean markdown an AI can actually read. The messy-data-to-clean-data step every AI pipeline needs, open-sourced by Microsoft. 60K+ stars. 10. https://t.co/vVvwr4rcBl Tell it what you want in plain English and it scrapes any website and hands back clean structured data. No brittle selectors that break when a page changes. The scraping infrastructure companies charge hundreds a month for, on your own machine. MIT. Most people will scroll past this and keep paying for all of it. The ones who bookmark it never go back.frozen22d ago10K11435422283.75%
GitHub has free alternatives to almost every tool you're paying for. I found 10 repos that can wipe $500/month off your software bill. steal this stack: 1. https://t.co/TMWy8s2mf8 Replaces: Notion ($10–15/user/month). The closest open-source clone of Notion there is. Docs, wikis, databases, kanban boards, calendar views, and a real desktop app, all local-first so your workspace lives on your machine instead of someone's cloud. Drop a non-technical teammate in front of it and they're productive in 20 minutes. 60K+ stars. 2. https://t.co/O4kYmEQqoB Replaces: Airtable ($20–45/user/month). Point it at a database and it becomes a slick spreadsheet with grid, gallery, form, and kanban views, row permissions, automations, and a REST API. Everything Airtable does, on a database you own. Scales to real teams without the per-seat bleed. 50K+ stars. 3. https://t.co/X2VvJ3riYi Replaces: Mailchimp ($13–100+/month and climbing with list size). A self-hosted newsletter and mailing-list manager that handles millions of subscribers on a single server. Mailchimp punishes you for growing your list. Listmonk charges you the cost of the box it runs on. One binary, done. 16K+ stars. 4. https://t.co/9jHBWpSluN Replaces: Calendly ($12–16/user/month). The MIT community edition of Cal. com, split off in 2026 when the main project went closed. Booking pages, team scheduling, reminders, payment links, all self-hosted and yours. The full Calendly experience with no monthly seat fee. 48K+ stars. 5. https://t.co/TzYBRgaedU Replaces: Typeform ($29+/month). Beautiful surveys and forms, plus in-app surveys that fire based on what users actually do, all self-hosted so the responses never leave your server. Typeform charges per response once you grow. This doesn't. 10K+ stars. 6. https://t.co/oCv1MudeVN Replaces: Zapier (bills per task, climbs fast). Connect your apps and automate entire workflows with a clean visual builder and hundreds of integrations, running on your own server with no per-action fee. The automation tax every growing business quietly pays, deleted. 15K+ stars. 7. https://t.co/e95ePv2JHj Replaces: Confluence and Notion for team wikis ($5–11/user/month). The most polished self-hosted knowledge base there is. Slash commands, nested pages, real-time editing, full-text search, and a proper API. The team wiki that feels like Notion but runs on infrastructure you control. 33K+ stars. 8. https://t.co/nwqTRA2o0a Replaces: Linear and Jira ($8–15/user/month). A clean, fast project tracker with issues, sprints, cycles, and roadmaps, self-hostable with no per-seat cost. Linear killed its free tier and tightened limits. Plane gives small teams the same flow for the price of a server. 30K+ stars. 9. https://t.co/edbEwXhrgd Replaces: DocuSign (billed per envelope, $10–25/month). Upload a PDF, drop signature fields, send, and get back a sealed document with a full audit trail, all self-hosted and legally compliant. The per-signature fee just stopped existing. 13K+ stars. 10. https://t.co/BFKKlPe4SN Replaces: Intercom and Zendesk ($74+/agent/month). A full customer-support suite, live chat, shared inbox, help center, and bots across email, WhatsApp, and socials. The per-agent pricing on the paid tools punishes you for every hire. Chatwoot runs on your server with no seat tax. 20K+ stars. Add it up: that's well past $500 a month, gone. The only bill left is the server they all run on.frozen20d ago7.5K9130811573.83%
Codex is becoming ridiculously powerful, and these GitHub repos make it even crazier. I found 10 open-source tools that can turn your AI coding assistant into a serious productivity machine. Every vibe coder should know these exist: 1. Awesome Codex Subagents Give Codex specialist agents for frontend development, backend engineering, security, testing, and code reviews. https://t.co/BNt052uACT 2. Browser Tools MCP Let Codex read browser console errors, failed network requests, and audit results. Give it evidence of what's breaking inside your app. https://t.co/M7tp9E9ssd 3. Grounded Docs Give Codex searchable documentation for the exact library versions your project uses, pulled from official websites, GitHub, and local files. https://t.co/J5LobyS4zU 4. Code-Graph-RAG Build a searchable map of your codebase so Codex can trace functions, classes, and dependencies before making changes. https://t.co/930IsjOxMY 5. MCP Memory Service Store architecture decisions, project context, and coding patterns so Codex can retrieve them across sessions. https://t.co/MKuC7YbQZ1 6. Supabase MCP Connect Codex to your Supabase backend so it can inspect database structure and work with your project through tools. https://t.co/X6Ys9YtwRR 7. Visual Explainer Turn architecture explanations, code reviews, and implementation plans into visual HTML pages you can actually understand. https://t.co/a887qngaQ4 8. Ruler Write your project rules once and distribute them across Codex, Claude Code, Cursor, and other coding agents. https://t.co/PyZ3GOjeJL 9. PAL MCP Server Let Codex consult other AI models for code reviews, debugging, planning, and second opinions. Supports cloud and local models. https://t.co/fjEoms52qQ 10. TestSprite CLI Give Codex a workflow to create tests, run them, inspect failures, and rerun after fixes. Open-source CLI; cloud testing requires an account and credits. https://t.co/1QOPV7l80X Which one are you adding to Codex first?frozen6d ago5.5K6371201013.34%
ElevenLabs isn't going to like this. 10 GitHub repos that let you clone your voice, generate realistic AI narration, and create voiceovers without paying monthly subscriptions. Bookmark this. 1. Pocket TTS Clone your voice and generate speech locally on your CPU. No dedicated GPU required. https://t.co/K42imtXRkY 2. Kokoro Generate narration with a compact 82M-parameter model. Choose preset voices across multiple languages, including English and Hindi. https://t.co/8Ffw7c5mOs 3. Zonos Turn a short recording of your voice into new speech. Adjust speaking speed, pitch variation, and emotions. https://t.co/lYJf9JBNWj 4. FireRedTTS3 Clone your voice across 24 languages, including Hindi. Design new voices and edit speech with its instruction-based model. https://t.co/yxyyDbJlNk 5. Orpheus TTS Create expressive narration with named voices and tags for laughter, sighs, and other vocal reactions. https://t.co/1R4wVUjLqt 6. OuteTTS Save your voice as a reusable speaker profile. Generate speech locally with its Apache-licensed 1.0 0.6B model. https://t.co/hX6lInryJA 7. Parler-TTS Describe how your narrator should sound in plain language. Control delivery, pitch, and speaking speed through a text prompt. https://t.co/PrHeEcQfzL 8. StyleTTS 2 Generate expressive speech and adapt its multispeaker model to your own voice. Includes inference notebooks and training tools. https://t.co/5tF3Xl9HWQ 9. MeloTTS Create multilingual voiceovers with American, British, Indian, and Australian English accents. Supports real-time generation on a CPU. https://t.co/xkuPNnbWJa 10. Soprano Generate English narration with a lightweight model that runs on CPUs, GPUs, and Apple Silicon. Built for speech generation, without voice cloning. https://t.co/AxDeqGQvte Which one are you trying first?1d ago5.0K7814911144.32%
Netflix now charges $26.99 a month to watch a movie in 4K. So, a developer just turned the terminal into a movie player. Type a movie name, press Enter, and it plays. It's called MovieBox-TUI. It finds the stream and plays it in the video player you already have, like VLC. Subtitles in your language load on their own. The movie poster shows up right inside the text window. Long flight coming up? It downloads the whole season in one go. Lose WiFi halfway and it picks the download back up where it stopped. Got a link to your own list of TV channels? Paste it in and it plays live TV too. No account and no ads. Your watch history lives on your computer and nowhere else. Mac, Windows, Linux, even Android phones. Netflix has raised its prices twice in just over a year. This costs nothing. What's the first movie you'd search? https://t.co/y5l3Air3FXfrozen27d ago3.3K311460262.35%
10 SCI-FI BOOKS THAT PREDICTED THE WORLD WE LIVE IN NOW Bookmark every one. 1. 1984 by George Orwell (1949) Predicted: mass surveillance and rewritten truth. Cameras that watch you in your own home, a state that edits the past, and language twisted until certain thoughts become impossible. Orwell wrote it as a warning. We now use his words, Big Brother, doublethink, memory hole, to describe the actual news. Uncomfortably close. 2. Brave New World by Aldous Huxley (1932) Predicted: control through pleasure, not fear. Huxley guessed the opposite of Orwell: people wouldn't be oppressed, they'd be distracted into obedience by endless entertainment, easy drugs, and constant stimulation. Swap soma for the infinite scroll and it's less a novel than a diagnosis of the last ten years. 3. Neuromancer by William Gibson (1984) Predicted: cyberspace and the hacker world. Gibson coined the word cyberspace and described people jacking into a global network of data years before the internet existed for anyone. Hackers, digital corporations, virtual worlds, artificial minds. He built the entire vocabulary the tech industry still lives inside. 4. Snow Crash by Neal Stephenson (1992) Predicted: the metaverse and digital avatars. Stephenson invented the word metaverse to describe a shared virtual world people enter as avatars. Thirty years later, tech giants spent billions trying to build the exact thing he sketched. He also nailed a world run by private corporations instead of governments. 5. The Machine Stops by E.M. Forster (1909) Predicted: remote life and screen addiction. Written before airplanes were common, it imagines people living alone in pods, never meeting in person, communicating only through screens, worshipping a machine that runs everything, until it breaks. A story about a locked-down, screen-lit world, written over a century ago. 6. Fahrenheit 451 by Ray Bradbury (1953) Predicted: the death of attention and deep reading. Everyone remembers the book burning, but Bradbury's sharper prediction was people voluntarily abandoning books for wall-sized screens, earbuds feeding constant noise, and short attention spans that couldn't sit with a hard idea. He saw distraction as the real threat, not censorship. 7. Do Androids Dream of Electric Sheep? by Philip K. Dick (1968) Predicted: the struggle to tell human from artificial. The book behind Blade Runner asks how you prove something is really human when the fakes get good enough. In an age of AI voices, generated faces, and bots that pass for people, its central question stopped being science fiction and became a daily problem. 8. The Circle by Dave Eggers (2013) Predicted: total transparency and life lived online. A tech company convinces the world that privacy is theft and everything should be shared, tracked, and rated. Written just before the era of constant posting and public scoring, it reads like a documentary about the platforms we now can't put down. 9. Player Piano by Kurt Vonnegut (1952) Predicted: automation erasing human work. Vonnegut's first novel imagined a society where machines do nearly every job and most people are left without purpose or a place. The exact anxiety now hanging over every conversation about AI and jobs, written seventy years before the current wave. 10. Parable of the Sower by Octavia Butler (1993) Predicted: climate collapse and social breakdown. Butler set her story in a 2020s America cracking under climate disaster, inequality, and gated communities while the desperate roam outside. Readers keep noting how eerily the dates and details line up with headlines. The most unsettling entry, because it's the most recent. They weren't writing fiction. They were writing early.frozen27d ago3.1K321930352.86%
GitHub is making game development ridiculously easy You can now use Claude Code or Codex to build games without spending months learning game engines. Here are 10 insane GitHub repos worth bookmarking: 1/ Godogen Describe the game you want. The agent writes code, generates assets, runs the engine, and checks the result through a live game or recording. Works with Claude Code and Codex. Supports Godot, Bevy, and Babylon.js. https://t.co/pNYt6nxUpd 2/ Three.js Game Skills Want something beyond another basic platformer? This gives Claude Code and Codex skills for gameplay, graphics, sound, UI, and testing. The demos include drifting, snooker, and space combat. Build it. Play it. Give feedback. Keep improving. https://t.co/FVvKKn412M 3/ Claude Code Game Studios 49 AI agents organized like a game studio. Game designers. Gameplay programmers. Artists. Sound designers. QA testers. You direct the project. Claude Code gets specialized workflows for building it. Includes Godot, Unity, and Unreal specialists. https://t.co/1KiO1L1AKf 4/ Godot AI Your AI can actually work inside the Godot editor. Build scenes. Edit scripts. Connect signals. Set up cameras, animations, particles, and UI. Connect Claude Code or Codex, then describe what you want changed. https://t.co/uuWBeEulnu 5/ sprite-gen One character image becomes usable game animation. Generate motion states, remove backgrounds, extract transparent frames, and export sprite atlases. Includes a review interface to reject or adjust bad frames. A Claude/Codex skill for making your characters move. https://t.co/tcrMk31Rhr 6/ GameFactory-3A Game code is only part of the job. This connects asset generation with game construction: Images. 3D models. Character motion. Audio. Cinematics. Works with Claude Code and Codex. Its demo videos include fighting games, racing games, FPS games, and RPGs. https://t.co/nZTM4CHEqe 7/ GameDev Agent Skills 74 game development skills your coding agent can load when needed. Covers Godot, Unity, Unreal, Phaser, Three.js, Bevy, Roblox, and more. A router selects the right guidance for your engine and task. Works with Claude Code and Codex. https://t.co/MphlPbP9s0 8/ NovelToGame Turn a story into a playable game. Seven skills guide your agent through adaptation, mechanics, world design, art direction, building, and testing. Examples include a Journey to the West RPG and a dinosaur photography game based on The Lost World. Works with Claude Code and Codex. https://t.co/raqeuS8erQ 9/ Unreal Engine Skills Epic Games published its own Claude Code plugin. It lets Claude control Unreal Editor through tools for Blueprints, materials, effects, animation, UI, and testing. Give Claude access to the editor, then ask it to build or change things. https://t.co/jxCnbsZL71 10/ Genex Desktop An AI game development workspace. Use your Claude Code or ChatGPT subscription, or local models. Coordinate agents, create 3D assets through Blender, connect generation tools, and publish to the web. Early software. Available on macOS and Linux. https://t.co/P1f5qQTGIh Pick one. Build one level with one mechanic worth playing. Then make it good enough that someone wants a second level.frozen8d ago2.9K231281302.59%
If I had 6 months to become an AI agent engineer in 2026. I'd follow these 10 stages. Stage 1: Python Foundations - Learn: Python, Git, HTTP APIs - Practice: Build 3 API-powered tools - Why: Agents are software, not just prompts. Stage 2: LLM Fundamentals - Learn: Tokens, context windows, structured outputs - Practice: Build 5 reusable LLM functions - Why: Model behavior matters more than model hype. Stage 3: Prompt Engineering - Learn: Few-shot examples, constraints, output schemas - Practice: Create 10 prompts with automated checks - Why: Reliable outputs need measurable expectations. Stage 4: Tool Calling - Learn: Function schemas, permissions, error handling - Practice: Build 1 agent using 5 tools - Why: Real agents interact with systems. Stage 5: RAG Systems - Learn: Embeddings, retrieval, reranking - Practice: Build Q&A over 100 documents - Why: Search quality matters more than dumping context. Stage 6: Agent Workflows - Learn: State management, orchestration, checkpoints - Practice: Build a 3-step research workflow - Why: Structured workflows prevent unnecessary loops. Stage 7: Browser Automation - Learn: Playwright, MCP, browser permissions - Practice: Automate 5 browser workflows - Why: Agents need to operate real interfaces. Stage 8: Evaluation - Learn: Test datasets, grading, regression tests - Practice: Evaluate 100 agent runs - Why: A working demo proves almost nothing. Stage 9: Security and Reliability - Learn: Sandboxing, retries, spending limits - Practice: Add 10 failure tests to an agent - Why: Production users expose every weakness. Stage 10: Deployment - Learn: Docker, monitoring, CI/CD - Practice: Deploy 1 agent with logs and alerts - Why: Shipping means keeping it running. The prompt-only AI builder is being replaced by engineers who can build, test, and maintain real systems. Bookmark and Repost. Send this to someone learning agentic AI.frozen12d ago2.0K231151243.22%
Claude is built to keep you happy, not to tell you when you’re wrong. Here’s the one instruction that fixes it in 30 seconds. Paste this into your Claude: "From now on, stop trying to agree with me. Your job is to improve my thinking, not protect my feelings. Follow these 7 rules: 1. Challenge my assumptions before accepting them. 2. If my reasoning is flawed, explain exactly where it breaks. 3. Give me the strongest argument AGAINST my idea. 4. Separate verified facts from guesses and opinions. 5. If there's a better approach, suggest it even if I didn't ask. 6. Never praise an idea unless you can explain why it works. 7. When you're uncertain, say so instead of pretending to know. Be direct, specific, and intellectually honest. I want a thinking partner, not a yes-man." This won't eliminate AI sycophancy, but it can make Claude more willing to challenge you. Bookmark this. Paste it into Claude. Send it to someone who uses AI to make decisions.2d ago1.9K25920263.19%
Someone just open-sourced an alternative to Instinct, the personal AI agent you can text like a real person. It's called Open Instinct. Instead of opening ChatGPT and typing prompts, you give your AI its own phone number and text it through iMessage. It gets: - Its own Linux computer to execute tasks - Memory that persists across conversations - Scheduled tasks that run without constant prompting - Access to connected apps and email - The ability to create files and send them back It can even communicate with other people's AI agents, with different permission levels controlling what they can access. The interesting part is that you can inspect its code, customize its personality, and change how it works. An open-source take on having an AI assistant you can actually text.frozen15d ago1.8K1599142.10%
If you learn one AI skill before 2027, make it harness engineering. I recently came across a repo on GitHub called Harness Engineering, and it has everything you need to learn for free. Here it is: https://t.co/ZvhJuGB8oN https://t.co/xMWE9gwGrCfrozen17d ago1.7K241140112.97%
Screen Studio costs $229. Someone just built the whole thing in a browser tab and gave it away for free. It's called OpenVid. You record your screen, or drop in a video you already have. Then it does the thing every polished product demo online is secretly using. It follows your cursor and zooms in smooth right where the action is. It drops your recording inside a clean laptop or phone frame. It tilts the whole thing in 3D so it looks like a movie, not a Loom. Pick a background from over 100, or blur your own. Export it in 4K. The wild part: nothing gets uploaded. The entire render happens inside your browser. No account, no watermark, no upload bar. Those buttery smooth product videos you scroll past? This is how they're made. https://t.co/MslFCOHxsGfrozen28d ago1.7K19120072.29%
Something important is shifting in how AI systems are built, and most people are going to miss it until it's already done It's called harness distillation The way AI products work today is simple The model is the brain. around it sits a pile of code called the harness that handles everything the model can't do on its own > managing memory > deciding when to call a tool > saving progress > enforcing limits > breaking big tasks into small ones That outer code has been getting more complex every month because the model needs more hand-holding than people admit Researchers are now flipping the direction - They're training models to absorb pieces of that scaffolding directly. - The model learns to plan its own steps. - It learns to decide when to look something up. - It learns to break down a task without being told. - The outer layer shrinks because the inner one grew up. The model stops being a brain that needs a babysitter. It becomes a brain that can run itself This is why the next generation of AI products is going to look much simpler on the outside while doing much more on the inside The glue code is dying The intelligence is moving where it should have been all alongfrozen11d ago1.6K171120102.42%
Hot take: the best "AI tool" you'll install this month isn't AI. It's a YouTube downloader from 2018 that people keep using. Why it keeps winning: 1. It does one thing and does it well 2. It runs locally, so no account, no upload, no tracking dashboard 3. Search, playlists, channels, formats, subtitles, and audio languages all in one window 4. It’s free and open source, so nobody can paywall it tomorrow 5. The community keeps it alive when the platform changes Everyone is racing to ship the next agent. Meanwhile one dev's side project quietly became the default answer to "how do I download this." Not every winning tool needs a model. Some just need to work. Link in reply 👇frozen18d ago1.6K181160102.74%
If I had to learn AI from scratch today, I wouldn't start with ChatGPT prompts. I would use these free resources from Hugging Face, Anthropic, and Microsoft to learn how the models and tools actually work. Bookmark this: 1/ Microsoft - Generative AI for Beginners https://t.co/2Mq6EmASZL Start here. 21 lessons that take you from "what even is a model" to building real apps, prompt engineering, RAG, and agents. MIT-licensed, on GitHub, and actively maintained by Microsoft. The gentlest on-ramp there is. 2/ Hugging Face - LLM Course https://t.co/nBdVpKQIFw The one that teaches you how models actually work under the hood, from the inside out, by the company the entire open AI world runs on. You stop treating the model as magic and start understanding the machine. Free, no ads. 3/ Hugging Face - Agents Course https://t.co/vIU1SiWGJn Free and certified. Build and deploy real AI agents with smolagents, LangGraph, and LlamaIndex, then benchmark yours on a public leaderboard. Agents are the single most in-demand AI skill right now, and almost nobody has shipped one. This fixes that. 4/ Anthropic - Academy https://t.co/sBGPPnn9hW The makers of Claude teaching you to actually use Claude and its API well. Prompting, tool use, and real workflows, straight from the source instead of a secondhand thread. Completion certificates included, free. 5/ Anthropic - Courses on GitHub https://t.co/7a4fh3Xl5X The deeper, hands-on track: real notebooks on the API, prompt evaluation, and tool use you run yourself. This is where you stop reading about AI and start building with it. Open and free. 6/ Anthropic - Building Effective Agents https://t.co/BlSLhBVNJI Not a course, an essay, and one of the most important things written on agents. It cuts through the hype and shows the simple patterns that actually work in production. Read it twice. It will save you months. 7/ Microsoft - AI Agents for Beginners https://t.co/7uaRVzwYpK 15 code-first lessons on building agents, the hands-on companion to the Hugging Face course. Different framing, different examples, and seeing the same idea taught two ways is how it actually sticks. MIT-licensed, free. 8/ DeepLearning AI - MCP with Anthropic https://t.co/kfYDfoSIWn MCP is how you give an AI real-world powers, databases, files, tools. This free short course teaches the protocol that's quietly becoming the standard everything plugs into. Learn it now, before everyone else has to. 9/ Hugging Face - the Hub itself huggingface co The best classroom is the thing itself. Browse the models, read the cards, run one in your browser. Everything you learn above makes sense faster once you've actually touched the models it's describing. Free to explore forever. 10/ Microsoft - AI for Beginners https://t.co/zE0hE7Z9Ua Want the real foundation, not just the LLM layer? This is a full 12-week curriculum on how AI actually works, neural networks, computer vision, the lot. The university course Microsoft gave away. The deep end, when you're ready for it. Here's what almost nobody tells beginners: the people who understand this stuff didn't learn prompts. They learned how the machine works, then the prompts became obvious. Prompts are the surface. These teach you the engine. Would you rather be good at talking to one AI, or good at building with any of them?frozen15d ago1.6K15900162.44%
People are making $5,000-looking motion graphics with Opus 5.5 And the “one prompt” story is complete bullshit I tried the prompts people were sharing Mine looked terrible Turns out, there is an entire workflow nobody puts in the viral tweet Here it is: 1. Go to https://t.co/b7LHLLffoF and steal the visual direction from 1-2 videos you love. Do NOT ask Opus for “cinematic motion graphics.” Give it the reference. Now it has the pacing, typography, transitions and camera language instead of inventing the same centered-text-gradient garbage. 2. Install HyperFrames or Remotion. This is the cheat code. Opus can now build every scene as code and render the whole thing directly to MP4. No After Effects. No manually animating 47 layers. And revisions become: “slow this zoom” “move this card” “hard cut here” instead of rebuilding the video. 3. Connect https://t.co/AcUFznevGv. This stops Opus from inventing those horrible fake-AI buttons and dashboards. You get real UI components with proper spacing, cards and interactions. 4. Now overload Opus with context. Give it: - logo - colors - fonts - product screenshots - reference video - product details - your rough idea Then ask for 3 completely different storyboards. Do NOT let it animate yet. 5. Generate one still frame for every scene. This might be the most important step. You catch the ugly scenes before spending time rendering them. Fix the composition. Fix the UI. Fix the typography. THEN animate. 6. Now treat Opus like your motion designer. “Zoom 30% slower.” “Hold this for 500ms.” “Push into the button.” “Hard cut here.” “Remove this transition.” Keep directing until it stops looking AI-generated. That is the part the “one prompt” posts leave out. The model is insane. But the people making the craziest videos aren't giving it one magical prompt. They're giving it references + tools + context + direction. Same Opus. Completely different output.frozen21d ago1.6K1436091.98%
Your competitors are testing 100 video ideas while you're still trying to figure out what to post. Now imagine giving an AI your website and having it run your social media marketing. That's what @adant_ai is building. Four AI agents that: - Research competitors and viral content - Find trends on X and Reddit - Turn winning ideas into original videos for your product - Plan, schedule, and publish your content All starting from your product URL. The interesting part isn't AI making videos. It's AI handling the entire workflow from research to publishing. #adant #adantai #marketingagentfrozen9d ago1.6K1102417079.99%
Don't pay for an ad blocker, use this. Pages load faster, popups vanish, and trackers stop following you around the web. It costs nothing. A developer named Raymond Hill built uBlock Origin. He never asks for donations. He tells people to thank the volunteers who keep the blocking lists updated. > Blocks ads > Blocks trackers > Blocks popups > Blocks scam sites It works best on Firefox.frozen19d ago1.5K1794052.32%
ChatGPT saved every conversation you thought you deleted. Job drafts. Medical questions. The email you wrote about quitting. The "just between us" prompt about your marriage. Go to Settings → Data Controls right now. Temporary Chat is off for most people. Memory is on. And "archived" is not deleted. Here is how to see what it still knows about you and wipe it in 12 minutes: ↓frozen29d ago1.3K1892072.74%
Everyone wants to build a personal AI agent. Until they realize the model is the easiest part. The hard part is giving it memory, permissions, and the ability to actually do things. Qoni is trying to turn those three problems into infrastructure, so developers can focus on building agents instead of rebuilding everything underneath them. https://t.co/HpC8ya6SUa @QoniAI #eazo #qoni #personalagentfrozen10d ago1.2K2026510823.10%
The future of A2A is here. Photon lets any agent discover and interact with any other agent directly in iMessage group chats, opening the door for agents to coordinate and actually get things done on your behalf. Honestly crazy and this should be the default.frozen14d ago690101010.43%
The future of AI isn't another chatbot with 50 features. It's software that builds itself around your needs. You describe a problem once, get a working app, and actually use it every day. That's a much more interesting direction for personal AI agents. https://t.co/esTmBvJ2Ev #eazo #qonifrozen13d ago653711011.53%