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Made a free Midjourney Style Reference Tool >15k srefs >smart AI search >view prompt + parameters >search by color, hex code, vibe, subject I also curated 5 boards to visualize the --sref's against different styles Link below. It's free and very useful

Nick St. Pierre

176,171 subscribers

53,687 просмотров • 2 лет назад •via X (Twitter)

Искусство Наука и технологии

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Private livecam show

Комментарии: 10

Фото профиля Nick St. Pierre

Nick St. Pierre2 лет назад

Happy prompting

Фото профиля Techguyver

Techguyver2 лет назад

Can you explain how to create them?

Фото профиля stepfanie tyler

stepfanie tyler2 лет назад

i'm always blown away by your output—tysm, Nick 🙏🏼

Фото профиля Dennis

Dennis2 лет назад

Awesome

Фото профиля reinier van eijk

reinier van eijk2 лет назад

Fhuuuuggggg this resource Nick!🤯👏

Фото профиля Yoann VINCENT

Yoann VINCENT2 лет назад

This is huge, thank you so much!

Фото профиля GPT.Biz

GPT.Biz2 лет назад

Sounds amazing, this tool will definitely make style exploration much easier

Фото профиля Tony 📊 👋

Tony 📊 👋2 лет назад

Holy smokes 🤯🤩 thank you so much

Фото профиля HephaestusHub

HephaestusHub2 лет назад

Jesus dude, this beyond epic! 👏 like wow, just wow. I can't begin to even think how much work you put into this 🤯 can't wait to check it out. Massive thank you fir sharing fir everyone 🤩

Фото профиля Rocky Essel

Rocky Essel2 лет назад

@nickfloats I like your videos, you display them very well. can I ask you how you do it? or the tool you use, please?

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Just launched a free Midjourney Style Reference explorer tool with Kive > over 12k style codes and growing > search by vibe, color, theme & more > discover similar styles for any image > 3 curated boards (photos, illustrations, 3D) Link to join below

Just launched a free Midjourney Style Reference explorer tool with Kive > over 12k style codes and growing > search by vibe, color, theme & more > discover similar styles for any image > 3 curated boards (photos, illustrations, 3D) Link to join below

Nick St. Pierre

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i made a list of free stuff for college founders > free cursor pro > free ai video generation > free hosting ... and much more link below 👇 try it yourself

i made a list of free stuff for college founders > free cursor pro > free ai video generation > free hosting ... and much more link below 👇 try it yourself

Mason Arditi

90,065 просмотров • 1 год назад

Diving deeper into mixing Anime + Reality in my own take on a Space Jam, Cool World, and Roger Rabbit kind of style! The Double Dasher… > Images made in MidJourney 8.2 > Animated in Seedance 2.5 1080p on Try ArtCraft > Prompted using my Seedance 2.5 prompt tool below

Diving deeper into mixing Anime + Reality in my own take on a Space Jam, Cool World, and Roger Rabbit kind of style! The Double Dasher… > Images made in MidJourney 8.2 > Animated in Seedance 2.5 1080p on Try ArtCraft > Prompted using my Seedance 2.5 prompt tool below

jboogx.creative

54,310 просмотров • 1 месяц назад

Ok, so the new Midjourney Style Tuner is here and it's a MASSIVE update. There is so much to unpack, no way I can do it all in one post, but here is an overview. You start by typing in /tune followed by your prompt. MJ will generate a range of sample images (between 16-128) showing different visual styles based on your prompt. Then you choose your favorite images from the sample to generate a unique code you can use to customize the look of future jobs. (link below) So for example, I just tried it with the prompt: 💬 1990s, a photo of a woman dressed in fuzzy velour, shimmering midnight hues reflecting sadness by the lake, a contemporary nightmare on cross-processed film --ar 4:5 --c 4 I selected 10 images, which generated the code zlPhgLCHDXol64kPlwSUzu97. I can then add it to my prompt using --style {code} But it makes more sense if you try it yourself, so try playing around with my Style Tuner for that prompt and generate your own code from your selections: Some quick notes: -You can control the level of style applied by adding the --s parameter to your prompt. -You can combine multiple styles together by separating with a hyphen, i.e --style code1-code2 I will be obsessing over this all day tomorrow and sharing everything I learn along the way. This is an incredible update.

Ok, so the new Midjourney Style Tuner is here and it's a MASSIVE update. There is so much to unpack, no way I can do it all in one post, but here is an overview. You start by typing in /tune followed by your prompt. MJ will generate a range of sample images (between 16-128) showing different visual styles based on your prompt. Then you choose your favorite images from the sample to generate a unique code you can use to customize the look of future jobs. (link below) So for example, I just tried it with the prompt: 💬 1990s, a photo of a woman dressed in fuzzy velour, shimmering midnight hues reflecting sadness by the lake, a contemporary nightmare on cross-processed film --ar 4:5 --c 4 I selected 10 images, which generated the code zlPhgLCHDXol64kPlwSUzu97. I can then add it to my prompt using --style {code} But it makes more sense if you try it yourself, so try playing around with my Style Tuner for that prompt and generate your own code from your selections: Some quick notes: -You can control the level of style applied by adding the --s parameter to your prompt. -You can combine multiple styles together by separating with a hyphen, i.e --style code1-code2 I will be obsessing over this all day tomorrow and sharing everything I learn along the way. This is an incredible update.

Nick St. Pierre

377,975 просмотров • 2 лет назад

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Introducing BeyondPDF, a smart, free, fully-local (wifi-less) PDF search app for MacOS. "Free" has always connoted to "It's free but we will steal your data"... not anymore. Whats wrong with MacOS's Preview? It's great... but I NEED smart/semantic search. Searching for words is tedious but searching for ideas is wayy easier. I converted a light embedding model from Hugging Face to CoreML and used zero libraries (vectordb + tokenizer is all raw code)... the installer itself is 42mb lol incl. the ML model, so its light and has a reasonable footprint. It's 99% perfect. My goal is to improve perf/UX with every release as more feedback rolls in. I urgently needed this myself and now, you can enjoy it too. Available only on the app store (recommended, linked below) or as a .dmg from my website (also linked).

omkaar

193,680 просмотров • 2 лет назад

My brother and I just launched an app! Nutrify, a Pokédex for food 📸 -> 🍍 Nutrify uses computer vision to identify different foods and display information about them. Try it on the iOS App Store for free today! Check out the launch video too! (more links below)

My brother and I just launched an app! Nutrify, a Pokédex for food 📸 -> 🍍 Nutrify uses computer vision to identify different foods and display information about them. Try it on the iOS App Store for free today! Check out the launch video too! (more links below)

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$(1/2) Just in time for back to school: the power of agentic coding has landed in Search. Anyone can now create custom tools and simulations to visualize different topics. One cool example: I asked AI Mode “make an interactive 3D fractal Mandelbulb visual I can zoom into” and it coded and rendered this visualization, right in Search & on the fly. Available globally in English (free of charge). Try it by asking AI Mode to create a simulation for whatever’s on your mind. Plus, we’ve started to roll out these interactive visuals in AI Overviews. lmk what you create!$

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Robby Stein

44,320 просмотров • 1 месяц назад

I've received a LOT of requests to play the game. Thanks! So, I am working on it but it will be *limited* as the AI Gen is not free! Follow-me and comment so I can PM you the link! P.S. yes this game is 100% coded by AI! I am also taking prompt requests! It's limitless lol:

I've received a LOT of requests to play the game. Thanks! So, I am working on it but it will be limited as the AI Gen is not free! Follow-me and comment so I can PM you the link! P.S. yes this game is 100% coded by AI! I am also taking prompt requests! It's limitless lol:

Nicolas Zullo

14,067 просмотров • 1 год назад

Introducing our first agent tool: the Brand API This helps gen AI agents solve 3 problems: - Extract: produce on-brand assets when users already have a brand - Search: find and retrieve brands for inspiration, from our curated index - Verify: check their own work against, see what's off brand and how to fix it Anyone can try it for free today at Check out the full blog, and case study with General Intelligence Company andrew pignanelli below.

Taste Labs

39,917 просмотров • 20 дней назад

I made Claude compete against itself. The smartest model does not automatically make the best agent. To prove it, I took the same Opus 4.6 model, initial prompt, and empty repo and but it inside two different coding harnesses: Claude Code vs. Factory Droid. The task: clone Excalidraw from scratch, inspect the original in a browser, implement its key interactions, and verify the result. Factory Droid: 8 minutes, 20 tool calls, $1.60 Claude Code: 19 minutes, 40 tool calls, $1.87 The only difference was the harness. Get Free Factory credits here:

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Sarah Chieng

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Alex Finn

13,121 просмотров • 1 год назад

The 5 biggest AI leaks are on GitHub. Free. This wasn't supposed to end up online. 1. instructkr/claw-code, 195k ⭐️ stars A clean rewrite of the leaked Claude Code CLI. Got 100k stars in one day. Nobody has ever done that on GitHub. 2. x1xhlol/system-prompts-and-models-of-ai-tools, 143k ⭐️ stars 28 coding tools, with the JSON tool schemas. Not just the prompt text, the actual list of what each agent can touch. 3. asgeirtj/system_prompts_leaks, 63k ⭐️ stars The real prompts behind Claude Opus 5, GPT-5.6, Gemini 3.5, Grok and Cursor. Claude's is 3,677 lines long. The Washington Post ran a story off this repo. 4. elder-plinius/CL4R1T4S, 47k ⭐️ stars Same thing, every big lab in one place. Updated when new models ship. 5. Piebald-AI/claude-code-system-prompts, 12.4k ⭐️ stars Claude Code's prompt pulled from compiled source. 27 tool descriptions, subagent prompts, security review logic. The best prompt engineering course ever made is 5 free repos written by people who never meant to publish them. Saved it. Most of it is publicly available, but few people know about it 👇

The 5 biggest AI leaks are on GitHub. Free. This wasn't supposed to end up online. 1. instructkr/claw-code, 195k ⭐️ stars A clean rewrite of the leaked Claude Code CLI. Got 100k stars in one day. Nobody has ever done that on GitHub. 2. x1xhlol/system-prompts-and-models-of-ai-tools, 143k ⭐️ stars 28 coding tools, with the JSON tool schemas. Not just the prompt text, the actual list of what each agent can touch. 3. asgeirtj/system_prompts_leaks, 63k ⭐️ stars The real prompts behind Claude Opus 5, GPT-5.6, Gemini 3.5, Grok and Cursor. Claude's is 3,677 lines long. The Washington Post ran a story off this repo. 4. elder-plinius/CL4R1T4S, 47k ⭐️ stars Same thing, every big lab in one place. Updated when new models ship. 5. Piebald-AI/claude-code-system-prompts, 12.4k ⭐️ stars Claude Code's prompt pulled from compiled source. 27 tool descriptions, subagent prompts, security review logic. The best prompt engineering course ever made is 5 free repos written by people who never meant to publish them. Saved it. Most of it is publicly available, but few people know about it 👇

unicode

12,437 просмотров • 1 месяц назад

🚨 AI coding agents hallucinate because they can't actually read your codebase. This MCP server fixes that. It's called Context+ and it gives AI 99% accuracy on large-scale engineering projects by building a real semantic map of your code before touching a single line. Here's what makes it different from every other MCP tool: → Tree-sitter AST parsing across 43 file extensions. Not grep. Not regex. Actual syntax trees. → Spectral Clustering that groups semantically related files into labeled clusters. Your AI finally understands what belongs together. → Obsidian-style wikilinks that map features to code files. Navigate entire codebases like a knowledge graph. → Blast radius tracing. Before any change, it shows every file and line where a symbol is imported or used. No more orphaned references. → Shadow restore points. Every AI-proposed commit creates a restore snapshot. One command to undo any change without touching git history. → Semantic search by meaning. Ask what something does. Not what it's called. The `propose_commit` tool is the wild part. It validates changes against strict rules, creates a shadow restore point, and only then writes to disk. AI can't just freestyle your production code. Works with Claude Code, Cursor, VS Code, and Windsurf. One line to install with bunx or npx. This is what responsible AI coding infrastructure actually looks like. 100% Opensource. Link in comments.

🚨 AI coding agents hallucinate because they can't actually read your codebase. This MCP server fixes that. It's called Context+ and it gives AI 99% accuracy on large-scale engineering projects by building a real semantic map of your code before touching a single line. Here's what makes it different from every other MCP tool: → Tree-sitter AST parsing across 43 file extensions. Not grep. Not regex. Actual syntax trees. → Spectral Clustering that groups semantically related files into labeled clusters. Your AI finally understands what belongs together. → Obsidian-style wikilinks that map features to code files. Navigate entire codebases like a knowledge graph. → Blast radius tracing. Before any change, it shows every file and line where a symbol is imported or used. No more orphaned references. → Shadow restore points. Every AI-proposed commit creates a restore snapshot. One command to undo any change without touching git history. → Semantic search by meaning. Ask what something does. Not what it's called. The `propose_commit` tool is the wild part. It validates changes against strict rules, creates a shadow restore point, and only then writes to disk. AI can't just freestyle your production code. Works with Claude Code, Cursor, VS Code, and Windsurf. One line to install with bunx or npx. This is what responsible AI coding infrastructure actually looks like. 100% Opensource. Link in comments.

Ihtesham Ali

31,074 просмотров • 6 месяцев назад

OpenAI and Anthropic this week: GPT-Red, Fable 5 plan changes, and free Claude for teachers (Week 29, 2026) OpenAI introduced GPT-Red, an internal automated red teamer trained through adversarial self-play to find prompt injection vulnerabilities at scale Training against it made GPT-5.6 their most robust model against prompt injections to date And there's a hidden "GPT-RED // Invader Patrol" game in the article OpenAI also published GPT-Live usage limits, brought ChatGPT back to WhatsApp in the European Economic Area, rolled out a new unified search in ChatGPT across chats, projects, images, and documents, raised the custom instructions limit from 1,500 to 5,000 characters, and updated the ChatGPT desktop app with a clearer Chat and Work layout, unified Recents, Projects, and cloud sync ChatGPT Finances got Apple Card and Savings support On the publishing side, OpenAI shared articles on managing AI investments in the agentic era, why teens deserve access to safe AI, state and federal AI safety action, and Sarah Friar's useful intelligence per dollar scorecard Beyond the official channels, Bloomberg reported OpenAI's first device will be a movable screenless smart speaker, and The New York Times reported a Kalshi partnership showing World Cup odds in ChatGPT search Work Louder launched the Codex Micro keypad built for Codex, OpenAI merch is back in a new Supply Co. shop, and I spotted a new private equity and investment management community in the works Anthropic made Claude Fable 5 standard in all Max and Team Premium plans at 50% of limits starting July 20, with a one-time $100 credit for Pro and Team Standard, after extending Fable 5 access on paid plans through July 19 Claude Code weekly limits stay 50% higher through August 19 Anthropic also introduced Claude for Teachers with free premium Claude access for verified K-12 educators in the US, committed 10 million Canadian dollars to Canadian AI research, and published a Canada Economic Index country brief Artifacts in Claude Code now support public sharing, multiplayer editing, and MCP connectors, plus creation via Claude Tag Claude Code got /code-review effort levels up to ultra, and HIPAA configuration is now self-serve for Claude organizations On the research side, Anthropic published work on Claude's values across models and languages, and four new agentic misalignment case studies

OpenAI and Anthropic this week: GPT-Red, Fable 5 plan changes, and free Claude for teachers (Week 29, 2026) OpenAI introduced GPT-Red, an internal automated red teamer trained through adversarial self-play to find prompt injection vulnerabilities at scale Training against it made GPT-5.6 their most robust model against prompt injections to date And there's a hidden "GPT-RED // Invader Patrol" game in the article OpenAI also published GPT-Live usage limits, brought ChatGPT back to WhatsApp in the European Economic Area, rolled out a new unified search in ChatGPT across chats, projects, images, and documents, raised the custom instructions limit from 1,500 to 5,000 characters, and updated the ChatGPT desktop app with a clearer Chat and Work layout, unified Recents, Projects, and cloud sync ChatGPT Finances got Apple Card and Savings support On the publishing side, OpenAI shared articles on managing AI investments in the agentic era, why teens deserve access to safe AI, state and federal AI safety action, and Sarah Friar's useful intelligence per dollar scorecard Beyond the official channels, Bloomberg reported OpenAI's first device will be a movable screenless smart speaker, and The New York Times reported a Kalshi partnership showing World Cup odds in ChatGPT search Work Louder launched the Codex Micro keypad built for Codex, OpenAI merch is back in a new Supply Co. shop, and I spotted a new private equity and investment management community in the works Anthropic made Claude Fable 5 standard in all Max and Team Premium plans at 50% of limits starting July 20, with a one-time $100 credit for Pro and Team Standard, after extending Fable 5 access on paid plans through July 19 Claude Code weekly limits stay 50% higher through August 19 Anthropic also introduced Claude for Teachers with free premium Claude access for verified K-12 educators in the US, committed 10 million Canadian dollars to Canadian AI research, and published a Canada Economic Index country brief Artifacts in Claude Code now support public sharing, multiplayer editing, and MCP connectors, plus creation via Claude Tag Claude Code got /code-review effort levels up to ultra, and HIPAA configuration is now self-serve for Claude organizations On the research side, Anthropic published work on Claude's values across models and languages, and four new agentic misalignment case studies

Tibor Blaho

13,137 просмотров • 2 месяцев назад

I just built an AI-powered creative search engine with Gemini Embedding 2 + Claude Code 🤯 Drop in your UGC clips, product shots, and ad variations — then search through everything in plain English. "Show me all the unboxing clips." "Find product shots with natural lighting." "Which creator talked about sensitive skin?" All inside Claude Code. Perfect for DTC brands and agencies sitting on hundreds of creative files they can never find when they actually need them. If you're digging through a folder of random file names, scrubbing through raw footage to find that one clip, and relying on memory to track down what's already been shot... This system eliminates the entire loop: → Drop your videos, images, and docs into a project folder → One prompt to Claude Code — it builds the entire search app for you → Google's new Gemini Embedding 2 model actually watches your videos and looks at your images → It understands what's inside each file — not just the file name → Search in plain English and get back the actual assets with confidence scores No scrolling through folders. No relying on file names to find anything. No re-shooting footage you already have. What you get: → A searchable library of every creative asset your brand has ever produced → Natural language search across video, images, and documents at the same time → Results that show the actual files inline — play videos, view images, read docs → A system that gets smarter every time you add richer descriptions to your assets One free API key. No monthly subscriptions. Runs on your machine. I put together a full playbook with the exact build prompt, the setup process, and DTC/agency use cases to get this running in under 30 minutes. Want the full playbook? > Like this post > Comment "SEARCH" And I'll send it over (must be following so I can DM)

Mike Futia

12,305 просмотров • 6 месяцев назад

Cursor Agent is just insane! In a little over an hour, without writing one line of code I created a YouTube Super Analytics Tool and I filmed the whole process... This is a full step by step guide on how to use Cursor Agent to build whatever you want with zero coding... As always I used the @senior_swc nextjs template as a starting point that has been forked over 11,000 times. (in next tweet below) Tools used: - Cursor: Duh - Replit: Template, web view and deployment - Deepseek API: High quality AI Model (Cheap and better than gpt) - SupaData API: Pull YT Transcripts - SerpAPI: Search YouTube Results - Firebase: DB and Auth Chapters: 00:00 - YouTube Power Tool In Action 03:00 - Planning Phase (How I diagram and plan) 04:58 - Features I'm adding 06:20 - Setting Up APIs and Tools 10:00 - Developing the YouTube Transcript Extractor w/ Supadata + Deepseek 19:58 - The YouTube Search Feature (SerpAPI) 29:41 - Setting Up Google Firebase (DB + Auth) 32:00 - Implementing Search and Save Features 36:50 - Styling and UI Enhancements 49:00 - Final Result 53:40 - These features are being added to @yapthread but way better (First look at composer feature)

Cursor Agent is just insane! In a little over an hour, without writing one line of code I created a YouTube Super Analytics Tool and I filmed the whole process... This is a full step by step guide on how to use Cursor Agent to build whatever you want with zero coding... As always I used the @senior_swc nextjs template as a starting point that has been forked over 11,000 times. (in next tweet below) Tools used: - Cursor: Duh - Replit: Template, web view and deployment - Deepseek API: High quality AI Model (Cheap and better than gpt) - SupaData API: Pull YT Transcripts - SerpAPI: Search YouTube Results - Firebase: DB and Auth Chapters: 00:00 - YouTube Power Tool In Action 03:00 - Planning Phase (How I diagram and plan) 04:58 - Features I'm adding 06:20 - Setting Up APIs and Tools 10:00 - Developing the YouTube Transcript Extractor w/ Supadata + Deepseek 19:58 - The YouTube Search Feature (SerpAPI) 29:41 - Setting Up Google Firebase (DB + Auth) 32:00 - Implementing Search and Save Features 36:50 - Styling and UI Enhancements 49:00 - Final Result 53:40 - These features are being added to @yapthread but way better (First look at composer feature)

Riley Brown

203,226 просмотров • 1 год назад

Startups have raised $1B+ to crack Enterprise AI search. Now someone open-sourced it for FREE. The video below shows a self-hosted Slack assistant that answers your questions by searching across all your company's tools in a single query. It's built on top of Airweave, an open-source context retrieval layer that makes all your tools searchable for Agents using semantic, keyword, and agentic search. Here's how the app works: - The app watches for questions in Slack. - It searches every connected tool at once using Airweave (Notion, GitHub, Jira, Linear, etc.) to find relevant context. - The Airweave engine ranks the results by relevance and returns references to the original docs. - An LLM generates the final response and sends it back to Slack with citations. The entire stack is self-hostable via Docker. Find the project in the replies!

Startups have raised $1B+ to crack Enterprise AI search. Now someone open-sourced it for FREE. The video below shows a self-hosted Slack assistant that answers your questions by searching across all your company's tools in a single query. It's built on top of Airweave, an open-source context retrieval layer that makes all your tools searchable for Agents using semantic, keyword, and agentic search. Here's how the app works: - The app watches for questions in Slack. - It searches every connected tool at once using Airweave (Notion, GitHub, Jira, Linear, etc.) to find relevant context. - The Airweave engine ranks the results by relevance and returns references to the original docs. - An LLM generates the final response and sends it back to Slack with citations. The entire stack is self-hostable via Docker. Find the project in the replies!

Avi Chawla

11,982 просмотров • 6 месяцев назад