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Dude... This is ridiculously useful 🤯 A site that's like a swiss army knife for devs & designers. Which contains a collection of small, browser-based tools across different categories that work without logins, tracking, or data collection. Nice to bookmark if you like fast, no-BS tools that just work...

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Ram Maheshwari

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88,744 görüntüleme • 7 gün önce •via X (Twitter)

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WTF... Someone literally built a massive collection of open-source, in-browser tools that require no sign-up to use. 🤯 It includes tools across multiple categories: → Design & Graphics → Development → Productivity → Privacy & Security → AI → Education ...and many more. No accounts. No sign-ups. Just open your browser and start using them :) Follow me for more amazing AI, Coding & Web Dev insights 💎
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WTF... Someone literally built a massive collection of open-source, in-browser tools that require no sign-up to use. 🤯 It includes tools across multiple categories: → Design & Graphics → Development → Productivity → Privacy & Security → AI → Education ...and many more. No accounts. No sign-ups. Just open your browser and start using them :) Follow me for more amazing AI, Coding & Web Dev insights 💎

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The internet needs more websites like this Delphi Tools is a huge collection of genuinely useful design/dev utilities that are: • completely free • no login • no ads • no tracking • runs locally in your browser QR generators, background remover, palette tools… just fast tools that work without trying to steal your data
1:29

The internet needs more websites like this Delphi Tools is a huge collection of genuinely useful design/dev utilities that are: • completely free • no login • no ads • no tracking • runs locally in your browser QR generators, background remover, palette tools… just fast tools that work without trying to steal your data

ToolFolio

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Bruh... Creating beautiful software architecture diagrams has never been easier. 🤯 FossFLOW is a free, open-source tool that lets you create professional-looking 3D software and engineering diagrams with hundreds of built-in icons and symbols. Perfect for: → Presentations → Documentation → Tutorials → System design interviews → Content creation If you regularly explain software architecture, this is one of those tools you'll keep coming back to :) Source 🔗: github(DOT)com/stan-smith/FossFLOW Follow me for more amazing AI, Coding & Web Dev insights 💎
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Bruh... Creating beautiful software architecture diagrams has never been easier. 🤯 FossFLOW is a free, open-source tool that lets you create professional-looking 3D software and engineering diagrams with hundreds of built-in icons and symbols. Perfect for: → Presentations → Documentation → Tutorials → System design interviews → Content creation If you regularly explain software architecture, this is one of those tools you'll keep coming back to :) Source 🔗: github(DOT)com/stan-smith/FossFLOW Follow me for more amazing AI, Coding & Web Dev insights 💎

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You found an email, username, or phone number… Now what? Here’s what to do if you have an email, phone number, username, or website and don’t know where to start. As OSINT investigators, we sometimes forget which methodologies or tools we can use during an investigation. That’s why having your own notes or bookmarks for: • Email • Phone Number • Username • Website can be extremely useful. If you don’t have your own collection yet, you can use Pika’s OSINT Toolbox. It’s one of my favorite OSINT directories and contains a large collection of investigation resources. It includes tools for: 📧 Email, username, and phone number investigations 🌐 Domain and IP analysis 📍 Geolocation and mapping tools 💬 Telegram, Discord, and social media analysis 🕰️ Archived websites and historical data research This can help a lot in OSINT scenarios like: 🕵️ Finding alternative tools when one source fails 🔎 Discovering niche services for specific investigations ⚡ Speeding up recon without searching for tools individually I’ve also noticed that comparing multiple OSINT directories often helps uncover tools that rarely get mentioned publicly. 🔗 Tool link:
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You found an email, username, or phone number… Now what? Here’s what to do if you have an email, phone number, username, or website and don’t know where to start. As OSINT investigators, we sometimes forget which methodologies or tools we can use during an investigation. That’s why having your own notes or bookmarks for: • Email • Phone Number • Username • Website can be extremely useful. If you don’t have your own collection yet, you can use Pika’s OSINT Toolbox. It’s one of my favorite OSINT directories and contains a large collection of investigation resources. It includes tools for: 📧 Email, username, and phone number investigations 🌐 Domain and IP analysis 📍 Geolocation and mapping tools 💬 Telegram, Discord, and social media analysis 🕰️ Archived websites and historical data research This can help a lot in OSINT scenarios like: 🕵️ Finding alternative tools when one source fails 🔎 Discovering niche services for specific investigations ⚡ Speeding up recon without searching for tools individually I’ve also noticed that comparing multiple OSINT directories often helps uncover tools that rarely get mentioned publicly. 🔗 Tool link:

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Bruh... this open-source AI design skill makes your AI-generated UIs look far less generic. 😍 Hallmark is a design skill for Claude Code, Cursor & Codex that helps AI generate interfaces that feel intentionally designed instead of looking like typical AI outputs. It can: → build beautiful new UIs → audit existing designs → redesign pages while preserving your content → study a URL or screenshot and extract its design DNA If you build apps with AI, this is definitely worth trying :) Follow me for more amazing AI, Coding & Web Dev insights 💎
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Bruh... this open-source AI design skill makes your AI-generated UIs look far less generic. 😍 Hallmark is a design skill for Claude Code, Cursor & Codex that helps AI generate interfaces that feel intentionally designed instead of looking like typical AI outputs. It can: → build beautiful new UIs → audit existing designs → redesign pages while preserving your content → study a URL or screenshot and extract its design DNA If you build apps with AI, this is definitely worth trying :) Follow me for more amazing AI, Coding & Web Dev insights 💎

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Are you just starting to write code for the 1st time with AI tools like Cursor? Use this prompt in your “Rules for AI”. It turns the AI into an *amazing* personal coding tutor that teaches you everything like a pro. Never get stuck in a project again. Full prompt below.
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Are you just starting to write code for the 1st time with AI tools like Cursor? Use this prompt in your “Rules for AI”. It turns the AI into an *amazing* personal coding tutor that teaches you everything like a pro. Never get stuck in a project again. Full prompt below.

Mckay Wrigley

190,105 görüntüleme • 1 yıl önce

I create a lot of video content. Over the past few years, that work has helped me grow to 200K+ followers and 70M+ views across platforms. Lately, I’ve been experimenting with AI tools that make the process more efficient, without losing my voice, personality, or taste. From researching and writing scripts to editing videos and crafting captions, I’m sharing a few of my favorite workflows, including how I use tools like Hyperagent. I’d love to hear which tools or workflows have made the biggest difference in your own creative process. Try it out:
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I create a lot of video content. Over the past few years, that work has helped me grow to 200K+ followers and 70M+ views across platforms. Lately, I’ve been experimenting with AI tools that make the process more efficient, without losing my voice, personality, or taste. From researching and writing scripts to editing videos and crafting captions, I’m sharing a few of my favorite workflows, including how I use tools like Hyperagent. I’d love to hear which tools or workflows have made the biggest difference in your own creative process. Try it out:

Sarah Chieng

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I've seen a lot of AI coding tools, but most are just copilots in a sidebar or in a black box form like Claude code. This one is different. I recently came across the new TRAE SOLO, and it’s not an assistant... It's more like a full AI engineer who plans and executes entire projects. The key point is that it has a GUI, which allows the development process to be clearly visible.
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I've seen a lot of AI coding tools, but most are just copilots in a sidebar or in a black box form like Claude code. This one is different. I recently came across the new TRAE SOLO, and it’s not an assistant... It's more like a full AI engineer who plans and executes entire projects. The key point is that it has a GUI, which allows the development process to be clearly visible.

Francesco Ciulla

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I've read a hundred "make money with AI" posts. Most are hype. This one is different. The idea: build a bunch of boring little tools. PDF converters, GST calculators, JSON formatters, word counters. Each one ranks for a keyword. Each visitor sees an ad. Do that 1,000 times and you're at $10K/month. No audience. No content grind. No selling. Just tools that quietly rank and compound for years. The best part is it's actually achievable. AI builds the tools now. The only real work is SEO and getting AdSense set up right. That's exactly what I'm going to do next. Building the tools, ranking them, attaching AdSense. If you haven't read this one yet, go read it. And if you're not sure how to set up AdSense, I attached a video below.
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I've read a hundred "make money with AI" posts. Most are hype. This one is different. The idea: build a bunch of boring little tools. PDF converters, GST calculators, JSON formatters, word counters. Each one ranks for a keyword. Each visitor sees an ad. Do that 1,000 times and you're at $10K/month. No audience. No content grind. No selling. Just tools that quietly rank and compound for years. The best part is it's actually achievable. AI builds the tools now. The only real work is SEO and getting AdSense set up right. That's exactly what I'm going to do next. Building the tools, ranking them, attaching AdSense. If you haven't read this one yet, go read it. And if you're not sure how to set up AdSense, I attached a video below.

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so much of work is what I like to call the “work around work” - switching between systems, chasing context, and stitching tools together to get things done company knowledge in chatgpt now does this for you it can reason across tools like slack, sharepoint, google drive, github, and more to get answers, do analysis, and take action using a version of gpt-5 that’s optimized for working with tools & providing citations company knowledge has changed how i use chatgpt at work more than anything we have built so far - let us know what you think!
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so much of work is what I like to call the “work around work” - switching between systems, chasing context, and stitching tools together to get things done company knowledge in chatgpt now does this for you it can reason across tools like slack, sharepoint, google drive, github, and more to get answers, do analysis, and take action using a version of gpt-5 that’s optimized for working with tools & providing citations company knowledge has changed how i use chatgpt at work more than anything we have built so far - let us know what you think!

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Bruh… this File-Tree component is ridiculously polished 🌳 Trees is an open-source file tree system for building IDE-style file explorers with search, drag-and-drop, file selection, Git status indicators, and more. Perfect for code editors, developer tools, file managers, and apps that need a modern file explorer UI :) Follow Ram Maheshwari for more 💎 #html #ai #javascript #coding #webdevelopment #programming

Ram Maheshwari

15,692 görüntüleme • 1 ay önce

I built a lightweight meeting notes assistant with Hermes + StepFun’s Step Plan. Step Plan is a subscription-based AI service that lets developers use StepFun models like Step 3.5 Flash cost-effectively across coding tools and agent platforms. For this demo, you paste in messy meeting notes. It gives you back a clean summary, action items, risks, deadlines, and follow-up copy. Simple idea, but genuinely useful.
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I built a lightweight meeting notes assistant with Hermes + StepFun’s Step Plan. Step Plan is a subscription-based AI service that lets developers use StepFun models like Step 3.5 Flash cost-effectively across coding tools and agent platforms. For this demo, you paste in messy meeting notes. It gives you back a clean summary, action items, risks, deadlines, and follow-up copy. Simple idea, but genuinely useful.

ares. 🎧

39,708 görüntüleme • 2 ay önce

This is the kind of website Google should rank first for every dev search. It’s called IT Tools. A free open-source website with 100+ developer utilities that all run locally in your browser. JSON formatter. Regex tester. JWT decoder. UUID generator. Cron parser. Timestamp converter. Hash generators. Docker helpers. Color tools. Markdown editor. Everything loads instantly. No login. No tracking. No AI-generated SEO garbage. You search for one simple converter and get: - Popup spam - Trackers - Fake buttons - Autoplay videos - 40 analytics scripts And because it’s fully open-source, you can self-host the whole thing yourself. One bookmark replaced 30+ random websites for me.
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This is the kind of website Google should rank first for every dev search. It’s called IT Tools. A free open-source website with 100+ developer utilities that all run locally in your browser. JSON formatter. Regex tester. JWT decoder. UUID generator. Cron parser. Timestamp converter. Hash generators. Docker helpers. Color tools. Markdown editor. Everything loads instantly. No login. No tracking. No AI-generated SEO garbage. You search for one simple converter and get: - Popup spam - Trackers - Fake buttons - Autoplay videos - 40 analytics scripts And because it’s fully open-source, you can self-host the whole thing yourself. One bookmark replaced 30+ random websites for me.

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The cool thing about local-first web apps is you don't have to choose anymore, which was one of the goals for Thymer: real-time collaboration, E2EE sync, and web access, while your data also lives locally and the app works offline. That means tools like Claude (or local LLMs) can get fast access to your workspace data. There's already an MCP plugin and here's a quick prototype where Claude Code talks directly to offline workspace data stored in the browser DB.
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The cool thing about local-first web apps is you don't have to choose anymore, which was one of the goals for Thymer: real-time collaboration, E2EE sync, and web access, while your data also lives locally and the app works offline. That means tools like Claude (or local LLMs) can get fast access to your workspace data. There's already an MCP plugin and here's a quick prototype where Claude Code talks directly to offline workspace data stored in the browser DB.

Wim Cools

31,112 görüntüleme • 6 ay önce

Building AI agents and tools is getting ridiculously easy! Here is a pretty impressive FREE and Open-Source AI agent builder that runs on your computer. It's a desktop app you can install on Mac or Windows. Link: • Free • 100% no-code: You can type what you want, and the tool will build everything for you. • You can use local models like DeepSeek or Qwen, or connect to cloud models like GPT-4o, Claude, or Gemini with your API key. • You can turn the tools you build into MCP Servers. I recorded a quick video to show you how easy it is to build something from scratch.
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Building AI agents and tools is getting ridiculously easy! Here is a pretty impressive FREE and Open-Source AI agent builder that runs on your computer. It's a desktop app you can install on Mac or Windows. Link: • Free • 100% no-code: You can type what you want, and the tool will build everything for you. • You can use local models like DeepSeek or Qwen, or connect to cloud models like GPT-4o, Claude, or Gemini with your API key. • You can turn the tools you build into MCP Servers. I recorded a quick video to show you how easy it is to build something from scratch.

Santiago

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The new Codex is another jump in what agents will look like for knowledge workers. Agents that can code, work with tools, and use computers, can begin to execute long running tasks in the background for all areas of work. This can mean drafting reports, setting up data rooms for a merger, reviewing contracts, helping onboard clients, generating marketing assets, processing invoices, and more. With the Box plugin inside of the new Codex, you can begin to automate almost any kind of work with enterprise content. And importantly, being able to work across multiple apps is a huge point of leverage because we can now far more easily connect our tools together.
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The new Codex is another jump in what agents will look like for knowledge workers. Agents that can code, work with tools, and use computers, can begin to execute long running tasks in the background for all areas of work. This can mean drafting reports, setting up data rooms for a merger, reviewing contracts, helping onboard clients, generating marketing assets, processing invoices, and more. With the Box plugin inside of the new Codex, you can begin to automate almost any kind of work with enterprise content. And importantly, being able to work across multiple apps is a huge point of leverage because we can now far more easily connect our tools together.

Aaron Levie

71,589 görüntüleme • 3 ay önce

Data teams spend weeks on simple requests. (This AI answers them in minutes.) Most data analysis is repetitive manual tasks. Data teams spend more time on setup than actual analysis. The workflow usually looks like this: → Run some exploratory data analysis in a local Jupyter notebook or environment → Pull data from multiple disconnected sources → Write code from scratch for every analysis → Export static charts that stakeholders can't explore (or wrestle with legacy BI to create a dashboard) → Manually send updates via email or Slack when data changes → Start over for each new request Most teams accept this as "how data analysis works." While business decisions wait for insights. That's where Fabi changes the entire approach. It's a powerful, AI-native platform built for teams that want to boost productivity and supercharge their data workflows. Instead of working on separate tools and manual processes, you collaborate on analysis that automatically delivers insights where teams work. Here's what makes Fabi different: AI-Native Analysis Environment ↳ SQL and Python work together with AI assistance that handles coding and debugging automatically. Smart Automation Workflows ↳ Automatically send AI-powered reports and summaries right where business works in Slack, email, and spreadsheets. Universal Data Integration ↳ Analyze data from files, Google Sheets, Airtable, plus your data warehouse and databases in one place. Collaborative Data Apps ↳ Create interactive dashboards that stakeholders can explore and ask follow-up questions directly. What you can do with Fabi that legacy BI can't: ➟ Send AI-generated insights directly to Slack channels ➟ Automatically email data summaries to stakeholders ➟ Analyze uploaded files without complex ETL processes ➟ Collaborate on analysis like Google Docs for data ➟ Build workflows that push insights to spreadsheets Perfect for teams that want to move beyond the constraints of legacy and increase their impact. Teams using Fabi see immediate results: ✓ Insights delivered in minutes instead of days ✓ Reduced context switching between tools ✓ Stakeholders explore data independently ✓ Workflows automated to save hours of manual work From analysis to automated delivery - all in one AI-native environment. 📌 Try Fabi today: 👉 Follow Fabi.ai and marc for Fabi updates. 🔄 Repost to help other teams streamline data analysis #DataAnalysis #ModernBI #DataOps #InteractiveDashboards #FabiPartnership #SponsoredByFabi
5:34

Data teams spend weeks on simple requests. (This AI answers them in minutes.) Most data analysis is repetitive manual tasks. Data teams spend more time on setup than actual analysis. The workflow usually looks like this: → Run some exploratory data analysis in a local Jupyter notebook or environment → Pull data from multiple disconnected sources → Write code from scratch for every analysis → Export static charts that stakeholders can't explore (or wrestle with legacy BI to create a dashboard) → Manually send updates via email or Slack when data changes → Start over for each new request Most teams accept this as "how data analysis works." While business decisions wait for insights. That's where Fabi changes the entire approach. It's a powerful, AI-native platform built for teams that want to boost productivity and supercharge their data workflows. Instead of working on separate tools and manual processes, you collaborate on analysis that automatically delivers insights where teams work. Here's what makes Fabi different: AI-Native Analysis Environment ↳ SQL and Python work together with AI assistance that handles coding and debugging automatically. Smart Automation Workflows ↳ Automatically send AI-powered reports and summaries right where business works in Slack, email, and spreadsheets. Universal Data Integration ↳ Analyze data from files, Google Sheets, Airtable, plus your data warehouse and databases in one place. Collaborative Data Apps ↳ Create interactive dashboards that stakeholders can explore and ask follow-up questions directly. What you can do with Fabi that legacy BI can't: ➟ Send AI-generated insights directly to Slack channels ➟ Automatically email data summaries to stakeholders ➟ Analyze uploaded files without complex ETL processes ➟ Collaborate on analysis like Google Docs for data ➟ Build workflows that push insights to spreadsheets Perfect for teams that want to move beyond the constraints of legacy and increase their impact. Teams using Fabi see immediate results: ✓ Insights delivered in minutes instead of days ✓ Reduced context switching between tools ✓ Stakeholders explore data independently ✓ Workflows automated to save hours of manual work From analysis to automated delivery - all in one AI-native environment. 📌 Try Fabi today: 👉 Follow Fabi.ai and marc for Fabi updates. 🔄 Repost to help other teams streamline data analysis #DataAnalysis #ModernBI #DataOps #InteractiveDashboards #FabiPartnership #SponsoredByFabi

Andrew Bolis

36,504 görüntüleme • 10 ay önce

Lately, I’ve been testing this AI Chrome extension called Chat4data and it’s honestly wild how easy it makes web scraping. 🤯 No coding, no confusing setups. Just type what you need in plain English like “Get all product names & prices” and it does the rest. Some highlights: • Scrapes in seconds (literally 3 clicks) • Handles pagination like “click next” or “scroll” • Exports images, videos, and text • You get 1M tokens FREE - no signup hoops It’s especially useful if you do market research, content collection, or just need data off any site fast. Here's the link below if you wanna try it: 🔗
0:44

Lately, I’ve been testing this AI Chrome extension called Chat4data and it’s honestly wild how easy it makes web scraping. 🤯 No coding, no confusing setups. Just type what you need in plain English like “Get all product names & prices” and it does the rest. Some highlights: • Scrapes in seconds (literally 3 clicks) • Handles pagination like “click next” or “scroll” • Exports images, videos, and text • You get 1M tokens FREE - no signup hoops It’s especially useful if you do market research, content collection, or just need data off any site fast. Here's the link below if you wanna try it: 🔗

JV Shah

246,413 görüntüleme • 1 yıl önce

This 2 minute film was made with 100% AI tools. It cost $2K. companies would pay $1–4 million for something like this traditionally. So when ai takes away the job, what actually matters more for a creator? Taste? Worldview? Creativity? Or a beautiful heart one that humans can still resonate with. DiDi_OK’s work deserves to be seen.
2:15

This 2 minute film was made with 100% AI tools. It cost $2K. companies would pay $1–4 million for something like this traditionally. So when ai takes away the job, what actually matters more for a creator? Taste? Worldview? Creativity? Or a beautiful heart one that humans can still resonate with. DiDi_OK’s work deserves to be seen.

Vera 🍌💕🐒

58,294 görüntüleme • 7 ay önce