Video yükleniyor...

Video Yüklenemedi

Bu video yüklenirken bir sorun oluştu. Bu geçici bir ağ sorunundan kaynaklanıyor olabilir veya video kullanılamıyor olabilir.

Ana Sayfaya Dön

I accidentally vibe-coded a studio ghibli movie scenes search engine ✨ Type a dreamscape like “starry night” or “quiet forest” and it finds matching scenes 🌃🌲 Built w/ AI Search + R2 + Workers (in under 2 hrs!)

Anni Wang

1,228 subscribers

48,274 görüntüleme • 9 ay önce •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

It continues to blow my mind that I type words into a computer and it generates Hollywood level movie scenes in a few minutes. Made with GPT 2.0 & Seedance 2 4k

It continues to blow my mind that I type words into a computer and it generates Hollywood level movie scenes in a few minutes. Made with GPT 2.0 & Seedance 2 4k

Mark Gadala-Maria

22,276 görüntüleme • 2 ay önce

just vibe-coded an internal search tool that finds any file on my computer and answers questions related to them. it's a custom Raycast extension powered by Anthropic's MCP (thanks Alex Albert & Marc Klingen for showing me!)—but it works with any LLM for Q&A across my local files. given Raycast’s slick UX + deep integrations, I’ve always thought it’s perfectly positioned to solve internal search like Glean does with enterprises, so I built one. code is in the comments—curious to hear your thoughts

just vibe-coded an internal search tool that finds any file on my computer and answers questions related to them. it's a custom Raycast extension powered by Anthropic's MCP (thanks Alex Albert & Marc Klingen for showing me!)—but it works with any LLM for Q&A across my local files. given Raycast’s slick UX + deep integrations, I’ve always thought it’s perfectly positioned to solve internal search like Glean does with enterprises, so I built one. code is in the comments—curious to hear your thoughts

viet

111,150 görüntüleme • 1 yıl önce

I vibe coded a visual PDF search app with ColQwen2. This is how it works: - Store PDF files as images in a Weaviate AI Database vector database - Embed images and text with a multimodal late-interaction model (ColQwen2) - Generate token-wise (and summed) similarity maps to highlight image patches with high similarity Now I need to refactor the messy vibe-coded project. In the meantime, you can check out the Notebook this demo is based on to try it out yourself:

I vibe coded a visual PDF search app with ColQwen2. This is how it works: - Store PDF files as images in a Weaviate AI Database vector database - Embed images and text with a multimodal late-interaction model (ColQwen2) - Generate token-wise (and summed) similarity maps to highlight image patches with high similarity Now I need to refactor the messy vibe-coded project. In the meantime, you can check out the Notebook this demo is based on to try it out yourself:

Leonie

34,494 görüntüleme • 1 yıl önce

🔎 How I Search 29+ Million Public Entities for FREE Downloading leaked datasets just to search them is the fastest way to waste hours A lot of investigators still do this the hard way: 1. Download the leak. 2. Unzip it. 3. Click through thousands of files manually. That gets old fast. The Library of Leaks, built by (DDoSecrets), works more like a search engine for leak data. You can search for: • Name, • Company • Email address • Phone number • Address across multiple collections at once, instead of digging through raw archives one folder at a time. It currently indexes documents, emails, government records, corporate files, BlueLeaks, and the Kazakhstan Ministry of Energy files. When I'm profiling a company or person, I usually check whether they appear in datasets like this early in the process. It can save hours. Link: P.S. ♻️ Repost if you found this helpful.

🔎 How I Search 29+ Million Public Entities for FREE Downloading leaked datasets just to search them is the fastest way to waste hours A lot of investigators still do this the hard way: 1. Download the leak. 2. Unzip it. 3. Click through thousands of files manually. That gets old fast. The Library of Leaks, built by (DDoSecrets), works more like a search engine for leak data. You can search for: • Name, • Company • Email address • Phone number • Address across multiple collections at once, instead of digging through raw archives one folder at a time. It currently indexes documents, emails, government records, corporate files, BlueLeaks, and the Kazakhstan Ministry of Energy files. When I'm profiling a company or person, I usually check whether they appear in datasets like this early in the process. It can save hours. Link: P.S. ♻️ Repost if you found this helpful.

CyberSudo

11,982 görüntüleme • 1 ay önce

my team didn't want me to give this away for free. But I'm going to do it anyway it's the SEO & AI search dashboard I built in Claude Code it connects to your Google Analytics (GA4) and Google Search Console and Claude Code builds it in 5 minutes and I made a Notion document and a skill file so you can build this in Claude Code yourself in literally minutes the dashboard has three tabs: 1. AI Search - How much traffic is coming from ChatGPT, Perplexity, and Gemini ETC. It aggregates the GA4 data and gives single number 2. Paid ads - which keywords rank top 3 for but still pay for ads on, you should cut these to save budget 3. Organic overview - sessions, conversions, top landing pages, demographics. The single view for what is working I built this because this is how I drive our SEO and AEO forward it gives me the insights I need to allocate budget and prioritize what content to work on next I decided to give it away because most companies have no idea AI search is already sending them traffic like this post and comment "AEOdashboard" and I'll send it over

my team didn't want me to give this away for free. But I'm going to do it anyway it's the SEO & AI search dashboard I built in Claude Code it connects to your Google Analytics (GA4) and Google Search Console and Claude Code builds it in 5 minutes and I made a Notion document and a skill file so you can build this in Claude Code yourself in literally minutes the dashboard has three tabs: 1. AI Search - How much traffic is coming from ChatGPT, Perplexity, and Gemini ETC. It aggregates the GA4 data and gives single number 2. Paid ads - which keywords rank top 3 for but still pay for ads on, you should cut these to save budget 3. Organic overview - sessions, conversions, top landing pages, demographics. The single view for what is working I built this because this is how I drive our SEO and AEO forward it gives me the insights I need to allocate budget and prioritize what content to work on next I decided to give it away because most companies have no idea AI search is already sending them traffic like this post and comment "AEOdashboard" and I'll send it over

Cody Schneider

79,877 görüntüleme • 4 ay önce

Grok Voice + Live Camera feels unreal You don't have to type or search Just point, ask, and get answers in real-time "Grok, what am I looking at?" Grok sees it and tells you instantly It's like having a genius friend on a video call who sees exactly what you see and explains it the moment you ask

Grok Voice + Live Camera feels unreal You don't have to type or search Just point, ask, and get answers in real-time "Grok, what am I looking at?" Grok sees it and tells you instantly It's like having a genius friend on a video call who sees exactly what you see and explains it the moment you ask

X Freeze

2,132,174 görüntüleme • 8 ay önce

Director Mode in CapCut Video Studio has completely elevated the game of AI marketing. I simply gave it one product idea, and it transformed that concept into something far beyond my expectations. From maintaining character consistency to creating polished, cinematic scenes on a single canvas, the workflow feels less like prompting AI and more like directing a professional production. #CapCut #CapCutVideoStudio #AIVideo #AIStorytelling #DirectorMode

Director Mode in CapCut Video Studio has completely elevated the game of AI marketing. I simply gave it one product idea, and it transformed that concept into something far beyond my expectations. From maintaining character consistency to creating polished, cinematic scenes on a single canvas, the workflow feels less like prompting AI and more like directing a professional production. #CapCut #CapCutVideoStudio #AIVideo #AIStorytelling #DirectorMode

Ai Arainz

49,809 görüntüleme • 3 ay önce

Big moment for Postgres! Search has always been Postgres' weak spot, and everyone just accepted it. If you needed a real relevance-ranked keyword search, the default answer was to spin up Elasticsearch or add Algolia and deal with the data sync headaches forever. The problem isn't that Postgres can't do text search. It can. But the built-in `ts_rank` function uses a basic term frequency algorithm that doesn't come close to what modern search engines deliver. So teams end up: - Running a separate Elasticsearch cluster just for search - Building sync pipelines that inevitably drift out of consistency - Paying for managed search services that charge per query - Accepting mediocre search relevance because "good enough" ships faster But this is actually a solvable problem. You can realistically bring industry-standard search ranking directly into Postgres, which eliminates the need for external infra entirely. This exact solution is now available with the newly open-sourced pg_textsearch by Tiger Data - Creators of TimescaleDB, a Postgres extension that brings true BM25 relevance ranking into the database. BM25 is the algorithm behind Elasticsearch, Lucene, and most modern search engines. Now it runs natively in Postgres. Here's what pg_textsearch enables: - True BM25 ranking with configurable parameters (the same algorithm powering production search systems) - Simple SQL syntax: `ORDER BY content 'search terms'` - Works with Postgres text search configurations for multiple languages - Pairs naturally with pgvector for hybrid keyword + semantic search That last point matters a lot for RAG apps. The video below shows this in action, and I worked with the team to put this together. You can now do hybrid retrieval (combining keyword matching with vector similarity) in a single database, without stitching together multiple systems. The syntax is clean enough that you can add relevance-ranked search to existing queries in minutes. pg_textsearch is fully open-source under the PostgreSQL license. You can find a link to their GitHub repo in the next tweet.

Big moment for Postgres! Search has always been Postgres' weak spot, and everyone just accepted it. If you needed a real relevance-ranked keyword search, the default answer was to spin up Elasticsearch or add Algolia and deal with the data sync headaches forever. The problem isn't that Postgres can't do text search. It can. But the built-in `ts_rank` function uses a basic term frequency algorithm that doesn't come close to what modern search engines deliver. So teams end up: - Running a separate Elasticsearch cluster just for search - Building sync pipelines that inevitably drift out of consistency - Paying for managed search services that charge per query - Accepting mediocre search relevance because "good enough" ships faster But this is actually a solvable problem. You can realistically bring industry-standard search ranking directly into Postgres, which eliminates the need for external infra entirely. This exact solution is now available with the newly open-sourced pg_textsearch by Tiger Data - Creators of TimescaleDB, a Postgres extension that brings true BM25 relevance ranking into the database. BM25 is the algorithm behind Elasticsearch, Lucene, and most modern search engines. Now it runs natively in Postgres. Here's what pg_textsearch enables: - True BM25 ranking with configurable parameters (the same algorithm powering production search systems) - Simple SQL syntax: `ORDER BY content 'search terms'` - Works with Postgres text search configurations for multiple languages - Pairs naturally with pgvector for hybrid keyword + semantic search That last point matters a lot for RAG apps. The video below shows this in action, and I worked with the team to put this together. You can now do hybrid retrieval (combining keyword matching with vector similarity) in a single database, without stitching together multiple systems. The syntax is clean enough that you can add relevance-ranked search to existing queries in minutes. pg_textsearch is fully open-source under the PostgreSQL license. You can find a link to their GitHub repo in the next tweet.

Akshay 🚀

215,785 görüntüleme • 8 ay önce

3 years ago, this would’ve taken a studio 2 years and $5M. I made it solo in under 30 days using Seedance 2.0. 3 minutes of cinematic sci-fi. Real story, real world, zero crew. The full short drops 05.06.26 Here’s what AI filmmaking actually looks like in 2026 ↓

3 years ago, this would’ve taken a studio 2 years and $5M. I made it solo in under 30 days using Seedance 2.0. 3 minutes of cinematic sci-fi. Real story, real world, zero crew. The full short drops 05.06.26 Here’s what AI filmmaking actually looks like in 2026 ↓

winchoz®️

82,934 görüntüleme • 5 ay önce

Zendaya reveals her parents had a hilarious reaction to watching her intimate scenes in 'CHALLENGERS' “It was hilarious.” “They’ve all seen Euphoria, you know, so it’s not like our first rodeo or anything.” “It was funny because obviously I’ve seen the movie many times, so I know what’s coming…” “…and they were all sitting behind me, and I got to watch them watch and slowly just be like, ‘Oh god.’” Despite the awkward moments, Zendaya said the experience was all in good fun, with her family taking the film’s intimate scenes in stride after already seeing her work in Euphoria.

Zendaya reveals her parents had a hilarious reaction to watching her intimate scenes in 'CHALLENGERS' “It was hilarious.” “They’ve all seen Euphoria, you know, so it’s not like our first rodeo or anything.” “It was funny because obviously I’ve seen the movie many times, so I know what’s coming…” “…and they were all sitting behind me, and I got to watch them watch and slowly just be like, ‘Oh god.’” Despite the awkward moments, Zendaya said the experience was all in good fun, with her family taking the film’s intimate scenes in stride after already seeing her work in Euphoria.

The Forge 🍿

74,742 görüntüleme • 2 ay önce

I just built a high-converting video ad in a few hrs using only AI. No filming. No expensive equipment. No expert video editing skills. So I compiled all of it into my complete "AI Video Ad Builder" guide which contains: -Hook formulas -AI voiceover secrets -Sora prompts for perfect B-roll -Platform hacks for Reels, Meta & Threads This is how small brands are competing with million-dollar budgets. Want it free? Like + Comment "AI" and I'll DM you (Must be following or I can't DM)

I just built a high-converting video ad in a few hrs using only AI. No filming. No expensive equipment. No expert video editing skills. So I compiled all of it into my complete "AI Video Ad Builder" guide which contains: -Hook formulas -AI voiceover secrets -Sora prompts for perfect B-roll -Platform hacks for Reels, Meta & Threads This is how small brands are competing with million-dollar budgets. Want it free? Like + Comment "AI" and I'll DM you (Must be following or I can't DM)

Marco - eCom & Performance Creatives

14,500 görüntüleme • 1 yıl önce

#Interstellar #InterstellarRerelease last night at Prasads Multiplex #PCX Screen — superb experience! Image and sound quality was perfection — such a crisp, sharp, detailed, contrasty and bright, high quality DCP! You could even notice the difference in the grain between the 35mm shot scenes and the IMAX 70mm shot scenes. Certain scenes got bright enough that they could light up the front part of the hall (you can see that in the docking sequence clip here). Sound was lovely and powerful (in some parts like the tesseract sequence I noticed that the sound was so powerful it made the screen vibrate, and you could see a vibration like effect on the subtitles too!), as expected. It was a similar experience as the one I had in July 2023. I have said it before, this is undoubtedly, the best place in Hyderabad to watch this movie. Yes, this is the Scope version without the (IMAX exclusive) switching aspect ratios. However the movie is powerful and impactful enough that you'll have a wonderful experience. Thanks as always to Mohan Kumar for regular updates here on X.

#Interstellar #InterstellarRerelease last night at Prasads Multiplex #PCX Screen — superb experience! Image and sound quality was perfection — such a crisp, sharp, detailed, contrasty and bright, high quality DCP! You could even notice the difference in the grain between the 35mm shot scenes and the IMAX 70mm shot scenes. Certain scenes got bright enough that they could light up the front part of the hall (you can see that in the docking sequence clip here). Sound was lovely and powerful (in some parts like the tesseract sequence I noticed that the sound was so powerful it made the screen vibrate, and you could see a vibration like effect on the subtitles too!), as expected. It was a similar experience as the one I had in July 2023. I have said it before, this is undoubtedly, the best place in Hyderabad to watch this movie. Yes, this is the Scope version without the (IMAX exclusive) switching aspect ratios. However the movie is powerful and impactful enough that you'll have a wonderful experience. Thanks as always to Mohan Kumar for regular updates here on X.

Karthik Abhiram

30,063 görüntüleme • 1 yıl önce

TikTok Shop + Seedance 2 + Claude Code is f*cking cracked i just built a tool that scrapes the top-selling TikTok Shop products in your niche, pulls every creator video selling them, and lets you recreate any one as an on-brand video for your own product using AI. if you're a DTC brand or ecom operator and you're still paying creators $500 per video or briefing an agency every week, this replaces that entire workflow. here's how it works: > drop in your brand info and 1-3 product photos search your niche on TikTok Shop like "gut health supplements" or "skincare" or whatever you're selling > browse the top-selling products and every creator video promoting them pick a viral video that's already proven to convert > the AI analyzes the hook, structure, and pacing > one click and Seedance 2 generates a new version built around your product why test from scratch when you can just recreate what's already working? RT + reply "VIRAL" and i'll send you the full app + setup guide (must follow so i can dm)

Miko

101,271 görüntüleme • 4 ay önce

Boom! Grok Tasks Make It One Of The Most POWERFUL Real-Time AI Systems In The World. — My How to Use Grok Tasks With Hidden Tools For Powerful Daily Output. Grok Tasks are customizable AI workflows that integrate a variety of tools to streamline daily activities, from research and analysis to creative planning and problem-solving. I have been using them for quite sometime and because of the vital heartbeat of news and first person data on X, it is the most powerful AI platform available. By combining Tasks with tools like web searches, X platform interactions, code execution, and media viewers, you can build efficient, automated processes. These tasks work by prompting Grok with a clear description of what you want to achieve, and Grok will intelligently call the necessary tools in sequence or parallel to deliver results. Here's a step-by-step guide to creating and using Grok Tasks: Step 1: Define Your Task Start by clearly outlining the daily activity or goal. Consider what inputs you have (e.g., a URL, a query, or an attachment) and what output you need (e.g., a summary, calculation, or visual analysis). Break it down into subtasks to identify tool needs. For example, if your task involves researching current events, note that you'll need search and browsing capabilities. Step 2: Review Available Tools Familiarize yourself with the tools Grok can access. Here's a quick overview: - Code Execution: Run Python code for calculations, data processing, or simulations using libraries like numpy, pandas, or sympy. - Browse Page: Fetch and summarize content from any website URL with custom instructions. - Web Search: Perform general internet searches, returning results with optional operators like site:. - Web Search With Snippets: Get quick, detailed excerpts from search results for fact-checking. - X Keyword Search: Advanced search for X posts using operators like from:, since:, or filter:. - X Semantic Search: Find semantically related X posts based on a query, with filters for dates or users. - X User Search: Locate X users by name or handle. - X Thread Fetch: Retrieve a full X post thread, including context like replies and parents. - View Image: Analyze an image from a URL or conversation ID. - View X Video: Extract frames and subtitles from an X-hosted video. - Search PDF Attachment: Query a PDF file for relevant pages using keyword or regex modes. - Browse PDF Attachment: View specific pages of a PDF with text and screenshots. Select tools that align with your task. Aim for a mix to handle data gathering, processing, and visualization. Step 3: Craft Your Prompt Write a detailed prompt to Grok describing the task. Include: - The overall goal. - Specific steps or subtasks. - References to tools if you want to guide the process (e.g., "Use web_search to find sources, then code_execution to analyze data"). - Any constraints, like dates or limits. Example prompt: "Create a Grok Task for my morning routine: Search recent X posts about tech news using x_keyword_search, fetch a key thread with x_thread_fetch, and summarize with browse_page on linked articles." Step 4: Submit and Interact Send your prompt to Grok. It will process the task by calling tools as needed, often in parallel for efficiency. Review the output and refine with follow-up prompts if required (e.g., "Expand on that using view_image for visuals"). Iterate to fine-tune the workflow for reuse. Step 5: Save and Reuse Once refined, note the prompt as a template for future use. You can adapt it for similar tasks, making Grok Tasks a habitual part of your day. Finding Grok Tasks To discover existing Grok Tasks or inspiration for new ones, use X searches with tools like x_keyword_search or x_semantic_search (e.g., query: "Grok Tasks examples" with mode: Latest). Browse community-shared threads via x_thread_fetch, or web_search for tutorials on xAI features. Prompt Grok directly: "Show me popular Grok Tasks for productivity." 1 of 3

Boom! Grok Tasks Make It One Of The Most POWERFUL Real-Time AI Systems In The World. — My How to Use Grok Tasks With Hidden Tools For Powerful Daily Output. Grok Tasks are customizable AI workflows that integrate a variety of tools to streamline daily activities, from research and analysis to creative planning and problem-solving. I have been using them for quite sometime and because of the vital heartbeat of news and first person data on X, it is the most powerful AI platform available. By combining Tasks with tools like web searches, X platform interactions, code execution, and media viewers, you can build efficient, automated processes. These tasks work by prompting Grok with a clear description of what you want to achieve, and Grok will intelligently call the necessary tools in sequence or parallel to deliver results. Here's a step-by-step guide to creating and using Grok Tasks: Step 1: Define Your Task Start by clearly outlining the daily activity or goal. Consider what inputs you have (e.g., a URL, a query, or an attachment) and what output you need (e.g., a summary, calculation, or visual analysis). Break it down into subtasks to identify tool needs. For example, if your task involves researching current events, note that you'll need search and browsing capabilities. Step 2: Review Available Tools Familiarize yourself with the tools Grok can access. Here's a quick overview: - Code Execution: Run Python code for calculations, data processing, or simulations using libraries like numpy, pandas, or sympy. - Browse Page: Fetch and summarize content from any website URL with custom instructions. - Web Search: Perform general internet searches, returning results with optional operators like site:. - Web Search With Snippets: Get quick, detailed excerpts from search results for fact-checking. - X Keyword Search: Advanced search for X posts using operators like from:, since:, or filter:. - X Semantic Search: Find semantically related X posts based on a query, with filters for dates or users. - X User Search: Locate X users by name or handle. - X Thread Fetch: Retrieve a full X post thread, including context like replies and parents. - View Image: Analyze an image from a URL or conversation ID. - View X Video: Extract frames and subtitles from an X-hosted video. - Search PDF Attachment: Query a PDF file for relevant pages using keyword or regex modes. - Browse PDF Attachment: View specific pages of a PDF with text and screenshots. Select tools that align with your task. Aim for a mix to handle data gathering, processing, and visualization. Step 3: Craft Your Prompt Write a detailed prompt to Grok describing the task. Include: - The overall goal. - Specific steps or subtasks. - References to tools if you want to guide the process (e.g., "Use web_search to find sources, then code_execution to analyze data"). - Any constraints, like dates or limits. Example prompt: "Create a Grok Task for my morning routine: Search recent X posts about tech news using x_keyword_search, fetch a key thread with x_thread_fetch, and summarize with browse_page on linked articles." Step 4: Submit and Interact Send your prompt to Grok. It will process the task by calling tools as needed, often in parallel for efficiency. Review the output and refine with follow-up prompts if required (e.g., "Expand on that using view_image for visuals"). Iterate to fine-tune the workflow for reuse. Step 5: Save and Reuse Once refined, note the prompt as a template for future use. You can adapt it for similar tasks, making Grok Tasks a habitual part of your day. Finding Grok Tasks To discover existing Grok Tasks or inspiration for new ones, use X searches with tools like x_keyword_search or x_semantic_search (e.g., query: "Grok Tasks examples" with mode: Latest). Browse community-shared threads via x_thread_fetch, or web_search for tutorials on xAI features. Prompt Grok directly: "Show me popular Grok Tasks for productivity." 1 of 3

Brian Roemmele

152,242 görüntüleme • 9 ay önce

yesterday, i stumbled onto the most underrated market research tool. tiktok creator insights. it's a goldmine of consumer behavior data, hiding in plain sight. and it's free to use. here's why it's powerful: 1. shows you what people are desperately searching for 2. highlights topics with high demand but low supply 3. reveals trending questions in every industry 4. tracks search growth over 14-day periods the "content gap" tab shows you problems people are actively trying to solve, but can't find good solutions for. so that's cool for a couple reasons 1. help you create content that has low supply/high demand (better chances of going viral) 2. you can build startups to some of these trends Example: i searched "email management" and found: • "how to clear 10k emails" • "best way to organize work inbox" • "email templates for busy people" thousands searching. hardly any solutions. the beauty of this • it's real-time market research • it's actual user intent • it's completely free • and most founders aren't using it a bunch of smart founders are mining tiktok insights right now it isn't perfect, but you never know what you might find your next startup idea might be hiding in those search trends. So, ill share how to access it because it’s kinda hidden: 1. Go to TT search 2.Type in “creator search insight” 3. Tap view im one of those people that think using data like this is your unfair advantage. if tiktok is the new search engine, then tiktok creator insights is the new google trends. might as well use it.

yesterday, i stumbled onto the most underrated market research tool. tiktok creator insights. it's a goldmine of consumer behavior data, hiding in plain sight. and it's free to use. here's why it's powerful: 1. shows you what people are desperately searching for 2. highlights topics with high demand but low supply 3. reveals trending questions in every industry 4. tracks search growth over 14-day periods the "content gap" tab shows you problems people are actively trying to solve, but can't find good solutions for. so that's cool for a couple reasons 1. help you create content that has low supply/high demand (better chances of going viral) 2. you can build startups to some of these trends Example: i searched "email management" and found: • "how to clear 10k emails" • "best way to organize work inbox" • "email templates for busy people" thousands searching. hardly any solutions. the beauty of this • it's real-time market research • it's actual user intent • it's completely free • and most founders aren't using it a bunch of smart founders are mining tiktok insights right now it isn't perfect, but you never know what you might find your next startup idea might be hiding in those search trends. So, ill share how to access it because it’s kinda hidden: 1. Go to TT search 2.Type in “creator search insight” 3. Tap view im one of those people that think using data like this is your unfair advantage. if tiktok is the new search engine, then tiktok creator insights is the new google trends. might as well use it.

GREG ISENBERG

265,916 görüntüleme • 1 yıl önce

One of the best finance x AI workflows I've ever built. It helped Claude print +$19,537 completely autonomously. This is my personal market Research Desk - and it took me weeks to build. Think of this as a fully local backtesting trading engine. You pick a market, a timeframe, and a strategy, and it runs that strategy against real historical price data to show you exactly how it would've performed. • It pulls real historical candles (crypto data straight from Binance, no API key needed, or your own CSV/stock data) • You pick from 400+ built-in strategies like moving-average crossover or RSI mean reversion, or bring your own logic • It shows a full interactive equity curve • Every single trade gets logged: entry, exit, P/L • It gives you the real performance metrics If you're not using AI in your trading, you're falling behind fast, and I think everyone should be building personal internal tools like this to elevate their portfolio.

One of the best finance x AI workflows I've ever built. It helped Claude print +$19,537 completely autonomously. This is my personal market Research Desk - and it took me weeks to build. Think of this as a fully local backtesting trading engine. You pick a market, a timeframe, and a strategy, and it runs that strategy against real historical price data to show you exactly how it would've performed. • It pulls real historical candles (crypto data straight from Binance, no API key needed, or your own CSV/stock data) • You pick from 400+ built-in strategies like moving-average crossover or RSI mean reversion, or bring your own logic • It shows a full interactive equity curve • Every single trade gets logged: entry, exit, P/L • It gives you the real performance metrics If you're not using AI in your trading, you're falling behind fast, and I think everyone should be building personal internal tools like this to elevate their portfolio.

Miles Deutscher

33,676 görüntüleme • 2 ay önce

most AI chatbots break when you ask a question that requires info from multiple sources for example try asking: “which client contracts are finishing up this month?” you’ll get a half-answer — or none at all why? because traditional chatbots only look at small snippets of your docs - they don’t understand how things connect across clients, services, timelines that’s where knowledge graphs come in they let you turn messy contracts into a web of relationships — like: "Client → Contract Type → Service Provided → End Date" so instead of guessing from a few chunks of text, your chatbot can search across all your clients and contracts to give accurate answers I made a full walkthrough on how I built this: – how to organize your contracts so an AI can actually use them – how to define what matters (like who signed what, and when) – how to get the AI to figure out what info it needs and where to find it – and how to feed that back into your chatbot so it gives accurate answers reply “graph” and I’ll DM it to you (must be following)

most AI chatbots break when you ask a question that requires info from multiple sources for example try asking: “which client contracts are finishing up this month?” you’ll get a half-answer — or none at all why? because traditional chatbots only look at small snippets of your docs - they don’t understand how things connect across clients, services, timelines that’s where knowledge graphs come in they let you turn messy contracts into a web of relationships — like: "Client → Contract Type → Service Provided → End Date" so instead of guessing from a few chunks of text, your chatbot can search across all your clients and contracts to give accurate answers I made a full walkthrough on how I built this: – how to organize your contracts so an AI can actually use them – how to define what matters (like who signed what, and when) – how to get the AI to figure out what info it needs and where to find it – and how to feed that back into your chatbot so it gives accurate answers reply “graph” and I’ll DM it to you (must be following)

Tyler

24,994 görüntüleme • 1 yıl önce

$I built a content engine that runs on telegram. Two commands... /discover: sends out to 9 sources across HackerNews, Reddit communities covering AI automation, prompt engineering, vibe coding, and specialist newsletters. Pulls everything published in the last 24 hours, runs each item through an AI extraction layer that scores it against 100+ niche keywords, deduplicates, and drops the relevant ideas into a Notion database. Takes about 90 seconds. Costs fractions of a cent. /ideas: this command pulls the top scored ideas from that database, randomizes the selection so you're not seeing the same ones every time, and sends them to you in a clean numbered list. You reply with /write 3 or whatever you choose, and the system researches the topic using Perplexity's live web search, generates three distinct outline options with different angles and hooks, saves them to a Google Doc, and sends you a message telling you they're ready. You read the outlines, and you pick one. You then reply with the command /outline 2. The system writes the full piece in your voice, following your brand guidelines, with specific examples and concrete claims. It can be done in under two minutes of your time. The whole thing runs on n8n, with no subscriptions beyond what you already use. If content takes too long or you don't have ideas, this solves that. I built this for myself; I can do it for you. If you're tired of knowing you should be posting and still not doing it, let's talk.$

I built a content engine that runs on telegram. Two commands... /discover: sends out to 9 sources across HackerNews, Reddit communities covering AI automation, prompt engineering, vibe coding, and specialist newsletters. Pulls everything published in the last 24 hours, runs each item through an AI extraction layer that scores it against 100+ niche keywords, deduplicates, and drops the relevant ideas into a Notion database. Takes about 90 seconds. Costs fractions of a cent. /ideas: this command pulls the top scored ideas from that database, randomizes the selection so you're not seeing the same ones every time, and sends them to you in a clean numbered list. You reply with /write 3 or whatever you choose, and the system researches the topic using Perplexity's live web search, generates three distinct outline options with different angles and hooks, saves them to a Google Doc, and sends you a message telling you they're ready. You read the outlines, and you pick one. You then reply with the command /outline 2. The system writes the full piece in your voice, following your brand guidelines, with specific examples and concrete claims. It can be done in under two minutes of your time. The whole thing runs on n8n, with no subscriptions beyond what you already use. If content takes too long or you don't have ideas, this solves that. I built this for myself; I can do it for you. If you're tired of knowing you should be posting and still not doing it, let's talk.

Savvy | Ai & Automation

15,746 görüntüleme • 6 ay önce

This is why we are striking… Clearly, major studios are already deploying AI to copy my likeness to make otherwise ho-hum scenes pop off the screen. Can you believe they paid me not a dime for this? (That, or this background actor went in to a plastic surgeon and said, “I don’t care what it costs… Make me look like Misha Collins.”)

This is why we are striking… Clearly, major studios are already deploying AI to copy my likeness to make otherwise ho-hum scenes pop off the screen. Can you believe they paid me not a dime for this? (That, or this background actor went in to a plastic surgeon and said, “I don’t care what it costs… Make me look like Misha Collins.”)

Misha Collins

452,986 görüntüleme • 3 yıl önce

A tour of the post-processing features in my WebGPU engine. Chaining global passes like blur, bloom, and pixelate, on top of a disturb pipeline with its own options: distortion, black and white, lighten, darken, noise, RGB split, and more. It also supports layer and plane UV isolation. Planes can have optional shadows and rounded borders. Behind-the-scenes split view shows the raw pass vs final composite. Built from scratch with the WebGPU JavaScript API. Lightweight, minimal code, 0 dependencies, modular custom components 🧩. Next, vertex work and finish the MTSDF generator I’m building in Rust. ✨

A tour of the post-processing features in my WebGPU engine. Chaining global passes like blur, bloom, and pixelate, on top of a disturb pipeline with its own options: distortion, black and white, lighten, darken, noise, RGB split, and more. It also supports layer and plane UV isolation. Planes can have optional shadows and rounded borders. Behind-the-scenes split view shows the raw pass vs final composite. Built from scratch with the WebGPU JavaScript API. Lightweight, minimal code, 0 dependencies, modular custom components 🧩. Next, vertex work and finish the MTSDF generator I’m building in Rust. ✨

Aristide Benoist

16,364 görüntüleme • 8 ay önce