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I'm thrilled to announce Bug0 Studio - a self-serve, AI-native browser testing tool. We're in private beta. DM me your email for access + $250/mo in credits for 3 months. What you can do today: - Create tests from video recordings - Natural language test steps - Self-healing tests... (adapts to UI changes) - Live browser preview - CI/CD integration (Vercel, Netlify, GitHub Actions) - Scheduled runs + reports via Slack, email, or PRs - Auto-extract emails (OTPs, magic links) - Team collaboration Most QA tools hide behind "contact us for demo." But I believe powerful QA shouldn't be gatekept behind sales calls and enterprise pricing. Help us build the most user-friendly and powerful AI QA tool that is open and accessible to all🙏 Today it's private beta. Soon, it's open to everyone.show more

Sandeep

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114,592 次观看 • 6 个月前 •via X (Twitter)

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Anyone who’s worked in QA knows the gap. Requirements live in one place and tests live somewhere else. Every change creates another round of rewriting. Kane AI by TestMu AI (formerly LambdaTest) approaches that gap differently. Instead of forcing teams to rewrite tests in a new abstraction, it lets you describe intent in natural language and turns that into structured, executable tests that can be exported into your existing frameworks. During exploration, the most practical part wasn’t just test generation, it was how expressive the language layer is. Complex assertions, branching conditions, and validations can be described without switching mental modes into code, but the resulting output still integrates cleanly with real pipelines. There’s also a strong emphasis on API coverage and auto-bug detection, which matters when UI tests aren’t enough. Kane AI by TestMu AI (formerly LambdaTest) can detect failures during execution and attempt self-healing based on original intent, while still requiring review and validation from the team. It doesn’t pretend QA disappears. It acknowledges QA is hard, contextual, and constantly changing. That honesty makes it useful. If you’re dealing with test maintenance and curious how natural-language testing fits into real QA work, Kane AI by TestMu AI (formerly LambdaTest) is available to try. See it in action: TestMu AI

Anyone who’s worked in QA knows the gap. Requirements live in one place and tests live somewhere else. Every change creates another round of rewriting. Kane AI by TestMu AI (formerly LambdaTest) approaches that gap differently. Instead of forcing teams to rewrite tests in a new abstraction, it lets you describe intent in natural language and turns that into structured, executable tests that can be exported into your existing frameworks. During exploration, the most practical part wasn’t just test generation, it was how expressive the language layer is. Complex assertions, branching conditions, and validations can be described without switching mental modes into code, but the resulting output still integrates cleanly with real pipelines. There’s also a strong emphasis on API coverage and auto-bug detection, which matters when UI tests aren’t enough. Kane AI by TestMu AI (formerly LambdaTest) can detect failures during execution and attempt self-healing based on original intent, while still requiring review and validation from the team. It doesn’t pretend QA disappears. It acknowledges QA is hard, contextual, and constantly changing. That honesty makes it useful. If you’re dealing with test maintenance and curious how natural-language testing fits into real QA work, Kane AI by TestMu AI (formerly LambdaTest) is available to try. See it in action: TestMu AI

AI Highlight

61,494 次观看 • 5 个月前

🚨🚨 Vibe Coding 2.0 is here. From today on, Claude Opus 4.6 in Shipper can build and run a full business by itself, without any human contact. We just launched Shipper. It's a tool for Claude to: → Build web/mobile apps and Chrome extensions → Code, design, monetize, launch → Do email marketing for you → Translate the entire app instantly → Self-maintain in the long run Claude's most powerful engines can now do all of that from a <10 word prompt, for as low as $0.28/app... And it takes minutes! Simply go to Shipper, then ask Claude to "create a talent-hiring platform" or "build an analytics SaaS that charges $29/mo"! To celebrate the launch, we're giving away free credits randomly. Repost rand comment "SHIPPER" and we'll pick the winners.

🚨🚨 Vibe Coding 2.0 is here. From today on, Claude Opus 4.6 in Shipper can build and run a full business by itself, without any human contact. We just launched Shipper. It's a tool for Claude to: → Build web/mobile apps and Chrome extensions → Code, design, monetize, launch → Do email marketing for you → Translate the entire app instantly → Self-maintain in the long run Claude's most powerful engines can now do all of that from a <10 word prompt, for as low as $0.28/app... And it takes minutes! Simply go to Shipper, then ask Claude to "create a talent-hiring platform" or "build an analytics SaaS that charges $29/mo"! To celebrate the launch, we're giving away free credits randomly. Repost rand comment "SHIPPER" and we'll pick the winners.

Daniel Ch

189,384 次观看 • 3 个月前

🚨BIGGEST ANNOUNCEMENT OF MY LIFE: I've been working on something big these last few months It's called Creator Buddy, and it's the best AI content tool you'll ever use It's an AI content coach that will help you create WAY better content on X It's jam packed with awesome AI tools that will help you create content that attracts you a massive audience: • AI coach that reviews all your old content to let you know what's working • AI content repurposing tool that helps you take a tweet and turn it into videos, blogs, and other forms of content • Brain dumping tool that takes what's on your mind and turns it into content • A bookmarking tool that's like X bookmarks except actually useful This is the most important project of my life and I can't wait for you to try it out The biggest challenge I see for content creators on X is they struggle to find their voice. They struggle to figure out what their niche should be or what they should talk about Creator Buddy solves this It's not an AI tool that creates you content. It's an AI tool that helps you discover who you are and what makes you unique and interesting. I'm launching Creator Buddy in the next month or so and want you to test it out. Beta testing begins in the next week and the first wave of users will be my subscribers on X I'll also be choosing 10 random people who like/RT this post to beta test it early Second wave will be through my newsletter (link in bio) Third wave will be to my reply guys (make sure to reply early and often) Creator Buddy is going to be the single greatest AI content creation tool and I can't wait for you to use it!

🚨BIGGEST ANNOUNCEMENT OF MY LIFE: I've been working on something big these last few months It's called Creator Buddy, and it's the best AI content tool you'll ever use It's an AI content coach that will help you create WAY better content on X It's jam packed with awesome AI tools that will help you create content that attracts you a massive audience: • AI coach that reviews all your old content to let you know what's working • AI content repurposing tool that helps you take a tweet and turn it into videos, blogs, and other forms of content • Brain dumping tool that takes what's on your mind and turns it into content • A bookmarking tool that's like X bookmarks except actually useful This is the most important project of my life and I can't wait for you to try it out The biggest challenge I see for content creators on X is they struggle to find their voice. They struggle to figure out what their niche should be or what they should talk about Creator Buddy solves this It's not an AI tool that creates you content. It's an AI tool that helps you discover who you are and what makes you unique and interesting. I'm launching Creator Buddy in the next month or so and want you to test it out. Beta testing begins in the next week and the first wave of users will be my subscribers on X I'll also be choosing 10 random people who like/RT this post to beta test it early Second wave will be through my newsletter (link in bio) Third wave will be to my reply guys (make sure to reply early and often) Creator Buddy is going to be the single greatest AI content creation tool and I can't wait for you to use it!

Alex Finn

337,313 次观看 • 1 年前

$🚨MAJOR ANNOUNCEMENT: I have been accepted into Daniel O'Shea 's AI software Accelerator This is a BIG deal Over the past couple months I've been building something huge in private. It's an AI powered X content tool that I believe will change the world This accelerator was a dream of mine to join. I'm now going to have the support and resources to make this the most powerful AI tool in content history I'm not just an algo guy. I'm not just a growth guy. I'm not just a Trader Joe's ice cream sandwich guy After this accelerator I will be the 1 person billion dollar business guy My tool is called Creator Buddy and it will make your content 1000x better You'll come up with more ideas and create greater content in a fraction of the time With Creator Buddy you'll be able to: • Create posts quickly • Use AI to repurpose posts for multiple platforms • Have an AI content coach that is trained on ALL of your content and can tell you how to make better content and get more followers • Generate endless content ideas • Use proven post templates • The most powerful AI content analytics on planet earth And much much much more The best part is I'll be building this entire thing in public I'm already 80% done. But once I launch I'll be going live every day to build in front of you. You can give me ideas and I'll ship those ideas live Beta testing starts in the next month and I'm letting a bunch of you guys in I'll be choosing 10 people who like/repost/and comment down below to beta test on day 1 Let me know 1 thing you'd want in a tool like this. Subscribers will get in the beta automatically Will be reaching out over DM shortly to the 10 winners This accelerator is a MASSIVE step for me in my career and life I will be the first person ever to build a 1 man billion dollar business in public I absolutely can't wait to take you along for the ride (after you like/reply/repost check DM in a little for beta invite)$

🚨MAJOR ANNOUNCEMENT: I have been accepted into Daniel O'Shea 's AI software Accelerator This is a BIG deal Over the past couple months I've been building something huge in private. It's an AI powered X content tool that I believe will change the world This accelerator was a dream of mine to join. I'm now going to have the support and resources to make this the most powerful AI tool in content history I'm not just an algo guy. I'm not just a growth guy. I'm not just a Trader Joe's ice cream sandwich guy After this accelerator I will be the 1 person billion dollar business guy My tool is called Creator Buddy and it will make your content 1000x better You'll come up with more ideas and create greater content in a fraction of the time With Creator Buddy you'll be able to: • Create posts quickly • Use AI to repurpose posts for multiple platforms • Have an AI content coach that is trained on ALL of your content and can tell you how to make better content and get more followers • Generate endless content ideas • Use proven post templates • The most powerful AI content analytics on planet earth And much much much more The best part is I'll be building this entire thing in public I'm already 80% done. But once I launch I'll be going live every day to build in front of you. You can give me ideas and I'll ship those ideas live Beta testing starts in the next month and I'm letting a bunch of you guys in I'll be choosing 10 people who like/repost/and comment down below to beta test on day 1 Let me know 1 thing you'd want in a tool like this. Subscribers will get in the beta automatically Will be reaching out over DM shortly to the 10 winners This accelerator is a MASSIVE step for me in my career and life I will be the first person ever to build a 1 man billion dollar business in public I absolutely can't wait to take you along for the ride (after you like/reply/repost check DM in a little for beta invite)

Alex Finn

51,952 次观看 • 1 年前

Shipping speed is up across the board, and AI tools like Gemini 3 Pro are helping us code and build faster than ever. But validation and quality assurance? Still the bottleneck. That’s why I’m integrating TestSprite into my workflow. It analyzes my code and PRD, automatically builds a comprehensive test layer, and keeps my development flow unbroken. No test writing. No last-minute QA chaos. What it covers: ➞ UI Flow Coverage: Verifies real-time updates and synchronization (e.g., confirming gradient sliders and angle controls work together). ➞ Edge Case Validation: Catches subtle logic bugs like inputs accepting out-of-range values that I'd typically miss. ➞ Functionality Check: Automatically runs videos to ensure core features (like "Randomize" and "Copy to Clipboard") are working. ➞ Repeatable Test Suite: Creates tests I can rerun anytime, giving me confidence that new code hasn't broken the old. My new Antigravity + Test Sprite Loop: ➞ AI Plan & Code: Use Antigravity's Planning Mode with Gemini 3 Pro to generate structured code. ➞ Browser Agent QA: Use Antigravity's Open Browser feature to let the AI visually analyze and control the live UI for quick verification. ➞ Validate & Test: Run the automated, reproducible test suite in Test Sprite. ➞ Ship. This loop feels clean, fast, and robust. Works beautifully alongside Gemini 3 Pro, Cloud Sonet, or any AI stack.

Shipping speed is up across the board, and AI tools like Gemini 3 Pro are helping us code and build faster than ever. But validation and quality assurance? Still the bottleneck. That’s why I’m integrating TestSprite into my workflow. It analyzes my code and PRD, automatically builds a comprehensive test layer, and keeps my development flow unbroken. No test writing. No last-minute QA chaos. What it covers: ➞ UI Flow Coverage: Verifies real-time updates and synchronization (e.g., confirming gradient sliders and angle controls work together). ➞ Edge Case Validation: Catches subtle logic bugs like inputs accepting out-of-range values that I'd typically miss. ➞ Functionality Check: Automatically runs videos to ensure core features (like "Randomize" and "Copy to Clipboard") are working. ➞ Repeatable Test Suite: Creates tests I can rerun anytime, giving me confidence that new code hasn't broken the old. My new Antigravity + Test Sprite Loop: ➞ AI Plan & Code: Use Antigravity's Planning Mode with Gemini 3 Pro to generate structured code. ➞ Browser Agent QA: Use Antigravity's Open Browser feature to let the AI visually analyze and control the live UI for quick verification. ➞ Validate & Test: Run the automated, reproducible test suite in Test Sprite. ➞ Ship. This loop feels clean, fast, and robust. Works beautifully alongside Gemini 3 Pro, Cloud Sonet, or any AI stack.

Dhaval Makwana

110,884 次观看 • 7 个月前

Introducing Gooseworks — AI coworkers that can do real GTM work. Over the last few months, we've been obsessed with turning AI into actual coworkers for our team. And it's working. Goose is now our most valuable teammate – it finds high-intent leads, runs outbound campaigns, coordinates with influencers, tracks SEO / AEO and a ton more. Today we're launching this publicly so everyone can create their own AI coworkers. Each coworker (or Goose) has its own computer, filesystem, mailbox, memory, and tools. Goose can work autonomously for hours, communicates over Slack, iMessage, WhatsApp or email, and gets smarter as you give it more context. It's not just a personal assistant — your whole team can talk to Goose from anywhere, and schedule it to run on autopilot. And here's the best part – we've already given Goose 100+ skills and data APIs for GTM work: – map your TAM – search people databases with natural language – find leads from X and LinkedIn posts – monitor intent signals from your ICPs – update your CRM and generate reports – find influencers and run outreach campaigns – track visibility in search and answer engines – connect to all the SaaS tools your business runs on +++ lots more. We also open-sourced every skill as a toolkit you can install directly in Claude Code. Comment "Goose" and follow and I'll send you the install link.

Introducing Gooseworks — AI coworkers that can do real GTM work. Over the last few months, we've been obsessed with turning AI into actual coworkers for our team. And it's working. Goose is now our most valuable teammate – it finds high-intent leads, runs outbound campaigns, coordinates with influencers, tracks SEO / AEO and a ton more. Today we're launching this publicly so everyone can create their own AI coworkers. Each coworker (or Goose) has its own computer, filesystem, mailbox, memory, and tools. Goose can work autonomously for hours, communicates over Slack, iMessage, WhatsApp or email, and gets smarter as you give it more context. It's not just a personal assistant — your whole team can talk to Goose from anywhere, and schedule it to run on autopilot. And here's the best part – we've already given Goose 100+ skills and data APIs for GTM work: – map your TAM – search people databases with natural language – find leads from X and LinkedIn posts – monitor intent signals from your ICPs – update your CRM and generate reports – find influencers and run outreach campaigns – track visibility in search and answer engines – connect to all the SaaS tools your business runs on +++ lots more. We also open-sourced every skill as a toolkit you can install directly in Claude Code. Comment "Goose" and follow and I'll send you the install link.

Shiv

173,861 次观看 • 3 个月前

Introducing 🌸 Kanna – a web ui for Claude Code + Codex running right in your browser (and my first open source project!) It's sort of like if Claude Code & Codex had a baby with a much better ui/ux 💅 Here's what makes Kanna special: 🔀 One-click switch between Claude Code / Codex 🌐 Runs in your browser on localhost - no app switching 🧩 Embedded split terminals, persisted between chats with a beautiful horizontal scrolling UX 📁 Full project file browser built in, embedded editor coming soon too. Coming soon: 🔒 End-to-end encryption + remote access via reverse proxy 🌿 Git integration, diffs, PRs 🧱 Plugins I wanted to replace switching between cursor, the github app, browser & (most recently) the codex app. The browser is hardest to recreate yet also the most flexible so it makes sense to build in the browser itself. Install in 5 seconds: bun install -g kanna-code then just type: kanna Kanna is purely a ui/ux layer. It uses your existing CLIs, is 100% compliant & no data ever leaves your machine. If running claude or codex in your terminal works, kanna works too. Kanna natively supports every tool call, model, reasoning effort, fast mode, plan mode, compaction, user questions, web searching, skills, agents, mcps, everything. There are a few libraries that do this but none that I found as comprehensive. All feedback welcome!

Introducing 🌸 Kanna – a web ui for Claude Code + Codex running right in your browser (and my first open source project!) It's sort of like if Claude Code & Codex had a baby with a much better ui/ux 💅 Here's what makes Kanna special: 🔀 One-click switch between Claude Code / Codex 🌐 Runs in your browser on localhost - no app switching 🧩 Embedded split terminals, persisted between chats with a beautiful horizontal scrolling UX 📁 Full project file browser built in, embedded editor coming soon too. Coming soon: 🔒 End-to-end encryption + remote access via reverse proxy 🌿 Git integration, diffs, PRs 🧱 Plugins I wanted to replace switching between cursor, the github app, browser & (most recently) the codex app. The browser is hardest to recreate yet also the most flexible so it makes sense to build in the browser itself. Install in 5 seconds: bun install -g kanna-code then just type: kanna Kanna is purely a ui/ux layer. It uses your existing CLIs, is 100% compliant & no data ever leaves your machine. If running claude or codex in your terminal works, kanna works too. Kanna natively supports every tool call, model, reasoning effort, fast mode, plan mode, compaction, user questions, web searching, skills, agents, mcps, everything. There are a few libraries that do this but none that I found as comprehensive. All feedback welcome!

Superdaddy

43,285 次观看 • 4 个月前

More moves to AI-first living. Got the Genspark browser that just came out. One thing I notice is that I like having separate browsers working on different tasks. I'm not a big user of MCPs, since I'm not really a developer. Are you? They have a store of a bunch of MCPs available to use. Most of my AI work is research related, or answering emails and scheduling things, I'm focusing more of my effort there. Genspark has been shipping a ton of stuff the past few weeks, from ability to make slides to a new AI secretary that can schedule things, or help you answer your emails. First I looked at, "does it make sense to move over to this new way of working?" The problem with that is you gotta learn a new browser. Well, it looks like Google Chrome, except it has a prompt window. Click the icons underneath it and you will see you can add X, Notion, Google stuff like calendar and gmail, or a variety of others. But the real power is just talking to it. I asked it what kinds of tasks it can do, and it answered: "Just tell me what you want to accomplish! For example: "Research the latest developments in spatial computing and create a presentation" "Analyze my Gmail for any important emails from this week" "Find information about AI robotics companies and create a spreadsheet" "Generate a video about emerging tech trends" "Help me plan a trip to CES 2026" And so further into AI-first living I go. Have you tried it yet? What do you suggest I do next to use more AI to run my life and build my business? I have another browser tab building a video for me. What a beautiful time to be alive. Download it at:

More moves to AI-first living. Got the Genspark browser that just came out. One thing I notice is that I like having separate browsers working on different tasks. I'm not a big user of MCPs, since I'm not really a developer. Are you? They have a store of a bunch of MCPs available to use. Most of my AI work is research related, or answering emails and scheduling things, I'm focusing more of my effort there. Genspark has been shipping a ton of stuff the past few weeks, from ability to make slides to a new AI secretary that can schedule things, or help you answer your emails. First I looked at, "does it make sense to move over to this new way of working?" The problem with that is you gotta learn a new browser. Well, it looks like Google Chrome, except it has a prompt window. Click the icons underneath it and you will see you can add X, Notion, Google stuff like calendar and gmail, or a variety of others. But the real power is just talking to it. I asked it what kinds of tasks it can do, and it answered: "Just tell me what you want to accomplish! For example: "Research the latest developments in spatial computing and create a presentation" "Analyze my Gmail for any important emails from this week" "Find information about AI robotics companies and create a spreadsheet" "Generate a video about emerging tech trends" "Help me plan a trip to CES 2026" And so further into AI-first living I go. Have you tried it yet? What do you suggest I do next to use more AI to run my life and build my business? I have another browser tab building a video for me. What a beautiful time to be alive. Download it at:

Robert Scoble

84,349 次观看 • 1 年前

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

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 次观看 • 10 个月前

Introducing Workshop: cloud + on-device agentic AI. And to celebrate, we're giving away $250k in Google Gemini AI credits. (details below). The future of AI work is neither cloud-based nor local. It's both. In Workshop Cloud, you can use agents powered by frontier models like Claude and/or open source models like Z.ai's GLM-5 to build internal tools, dashboards, and AI web apps. Or, breeze through tasks like managing your Google and Meta Ads. In Workshop Desktop, you can do all the same right on your computer, plus make desktop apps, mobile apps, and 3D creations. Our favorite part? You can power the full agent experience with local models like Qwen 3.5 family on your computer. Fully offline. 2026 is the year in which local models for agentic tasks will become viable for mainstream use. But the setup for tools like OpenClaw is like setting up Linux from scratch on your computer. Workshop Desktop is one-click to install on Windows, Mac, and Linux. It recommends which open source model you should use for your hardware and lets you download and run it right in the app. And its agent harness allows you to chat, create websites, build personal utilities, and analyze data. 100% offline. Or multitask with AI models in the cloud while running other agent threads locally. Start in Workshop Cloud when you want flexibility and speed. Download your project and continue in Workshop Desktop when you want local files, privacy, and/or better performance on large code bases. Publish from either. The agent tooling space is maturing and discerning users have come to expect a lot from their tools. We've packed Workshop with features to help you 10x your productivity. - Native support for skills - Autocompaction for seamless context management - Built-in AI for your apps - Dozens of connectors, like Google Drive, Big Query, and Supabase - dbt integration to ground your dashboards in your semantic layer - Native Github integration - Private app deployment - ... and more (+ we're shipping super fast) To access the free credit offer, RT this post and reply with "Workshop". Make sure you are following us so we can DM you the instructions to redeem. - First 100 to RT + comment get $500 in credits. - Everyone else gets up to $250 And thanks to our partners Modal, Google Gemini, and Z.ai!

Introducing Workshop: cloud + on-device agentic AI. And to celebrate, we're giving away $250k in Google Gemini AI credits. (details below). The future of AI work is neither cloud-based nor local. It's both. In Workshop Cloud, you can use agents powered by frontier models like Claude and/or open source models like Z.ai's GLM-5 to build internal tools, dashboards, and AI web apps. Or, breeze through tasks like managing your Google and Meta Ads. In Workshop Desktop, you can do all the same right on your computer, plus make desktop apps, mobile apps, and 3D creations. Our favorite part? You can power the full agent experience with local models like Qwen 3.5 family on your computer. Fully offline. 2026 is the year in which local models for agentic tasks will become viable for mainstream use. But the setup for tools like OpenClaw is like setting up Linux from scratch on your computer. Workshop Desktop is one-click to install on Windows, Mac, and Linux. It recommends which open source model you should use for your hardware and lets you download and run it right in the app. And its agent harness allows you to chat, create websites, build personal utilities, and analyze data. 100% offline. Or multitask with AI models in the cloud while running other agent threads locally. Start in Workshop Cloud when you want flexibility and speed. Download your project and continue in Workshop Desktop when you want local files, privacy, and/or better performance on large code bases. Publish from either. The agent tooling space is maturing and discerning users have come to expect a lot from their tools. We've packed Workshop with features to help you 10x your productivity. - Native support for skills - Autocompaction for seamless context management - Built-in AI for your apps - Dozens of connectors, like Google Drive, Big Query, and Supabase - dbt integration to ground your dashboards in your semantic layer - Native Github integration - Private app deployment - ... and more (+ we're shipping super fast) To access the free credit offer, RT this post and reply with "Workshop". Make sure you are following us so we can DM you the instructions to redeem. - First 100 to RT + comment get $500 in credits. - Everyone else gets up to $250 And thanks to our partners Modal, Google Gemini, and Z.ai!

Workshop AI

28,510 次观看 • 4 个月前

Don't just learn how to build AI agents. Instead, learn how to build full-stack AI agents that actually work inside apps. Today, we have reliable tools to create decent agentic workflows. Yet, the main challenge is transitioning them from local setups to user-facing apps. Here are some key factors to consider: - How do you embed a seamless UI? - How do you enable user control when necessary? - How do you unify the agent’s state and actions with the app? This is where I would like to introduce CoAgents by CopilotKit🪁, they offer all the essential building blocks for full-stack agentic apps. The best part, they're completely open-source with an MIT Licence ✨ (link to their GitHub repo in the next tweet) The latest updates to CoAgents include: ↳ Human-in-the-loop: Real-time human approvals. ↳ LangGraph integration: Supports LG Studio, Platform, and self-hosted. ↳ Agentic UI: Agents generate UI components dynamically. ↳ Predictive state updates: Preview upcoming changes. ↳ Enhanced documentation: Clear, step-by-step guidance. The video below showcases a full-stack Travel Planner app built in 20 minutes using CoAgents. Impressive, right? Big thanks to CopilotKit for partnering on today's post and showing what's possible with their powerful Agent-development framework.

Don't just learn how to build AI agents. Instead, learn how to build full-stack AI agents that actually work inside apps. Today, we have reliable tools to create decent agentic workflows. Yet, the main challenge is transitioning them from local setups to user-facing apps. Here are some key factors to consider: - How do you embed a seamless UI? - How do you enable user control when necessary? - How do you unify the agent’s state and actions with the app? This is where I would like to introduce CoAgents by CopilotKit🪁, they offer all the essential building blocks for full-stack agentic apps. The best part, they're completely open-source with an MIT Licence ✨ (link to their GitHub repo in the next tweet) The latest updates to CoAgents include: ↳ Human-in-the-loop: Real-time human approvals. ↳ LangGraph integration: Supports LG Studio, Platform, and self-hosted. ↳ Agentic UI: Agents generate UI components dynamically. ↳ Predictive state updates: Preview upcoming changes. ↳ Enhanced documentation: Clear, step-by-step guidance. The video below showcases a full-stack Travel Planner app built in 20 minutes using CoAgents. Impressive, right? Big thanks to CopilotKit for partnering on today's post and showing what's possible with their powerful Agent-development framework.

Akshay 🚀

90,819 次观看 • 1 年前

English is literally the hottest programming language. It's absolutely crazy that you can build a complete product in plain English. I'm using Rocket in this video. This is a new app. You type what you want, and Rocket builds it for you. This is great if you want to build: • A landing page • A complete web application • A mobile app • A dashboard to showcase something • An internal tool to automate anything This is another example of how developers should become comfortable being copilots for AI agents (instead of using AI as a copilot). Some of the things I like about Rocket: 1. One-click deploy to Netlify (I use Netlify for all my projects) 2. GitHub integration 3. Supabase integration for your backend 4. Built-in support for Stripe 5. Built-in support for Resend 6. Google Analytics integration 7. Smart AI search with Perplexity 8. You can also integrate with GPT models, Gemini, and Claude 9. You can make visual edits by describing what you want 10. You can upload images and have Rocket implement them Best of all are the templates: They have a large library of templates that will help you get started. These templates will help you save money (because of fewer tokens), and you can modify them as you see fit. I read on the site that you can also bring a Figma file and turn it into an app, but I didn't test that feature. By the way, you can start using it for free. Here is the link: Thanks to the Rocket team for their support and for collaborating with me on this post.

English is literally the hottest programming language. It's absolutely crazy that you can build a complete product in plain English. I'm using Rocket in this video. This is a new app. You type what you want, and Rocket builds it for you. This is great if you want to build: • A landing page • A complete web application • A mobile app • A dashboard to showcase something • An internal tool to automate anything This is another example of how developers should become comfortable being copilots for AI agents (instead of using AI as a copilot). Some of the things I like about Rocket: 1. One-click deploy to Netlify (I use Netlify for all my projects) 2. GitHub integration 3. Supabase integration for your backend 4. Built-in support for Stripe 5. Built-in support for Resend 6. Google Analytics integration 7. Smart AI search with Perplexity 8. You can also integrate with GPT models, Gemini, and Claude 9. You can make visual edits by describing what you want 10. You can upload images and have Rocket implement them Best of all are the templates: They have a large library of templates that will help you get started. These templates will help you save money (because of fewer tokens), and you can modify them as you see fit. I read on the site that you can also bring a Figma file and turn it into an app, but I didn't test that feature. By the way, you can start using it for free. Here is the link: Thanks to the Rocket team for their support and for collaborating with me on this post.

Santiago

30,944 次观看 • 1 年前

🚨 Big news, everyone! We’re thrilled to announce the soft launch of our new UI to interact with agents, starting with our GitHub agent, StaffEngineer. 🚀 It’s officially LIVE: This marks the evolution of our agents—from cool demos and tweets to real, practical use cases. Whether it’s creating/managing issues, commenting, reviewing PRs, or more, this is your chance to experience what we’ve been building. ✨ Highlights: GitHub Superpowers: Let agents handle the heavy lifting with GitHub. Experimental Features: Try end-to-end workflows like Issue Creation → Code Change → Commit → PR. Autonomous Mode: where agents reason and act (or don't) accordingly! Coming soon—but you can explore the foundational building blocks right now. Check out the exciting user flows in our demo and join us in transforming how our community interacts with these tools. 🌐✨ 📘 Full User Guide: Under the GitHub section, featuring examples and tips for engaging with our agents effectively given the beta constraints (i.e. using a test github account, public vs. private repo, etc) Let’s build the future, one agent at a time! 🛠️ PS: Shoutout to ai16zdao for keeping the client the UI sharp and clean. 👏 PPS: Stay tuned—our Coinbase 🛡️ agent is dropping soon! 🚀🚀🚀

🚨 Big news, everyone! We’re thrilled to announce the soft launch of our new UI to interact with agents, starting with our GitHub agent, StaffEngineer. 🚀 It’s officially LIVE: This marks the evolution of our agents—from cool demos and tweets to real, practical use cases. Whether it’s creating/managing issues, commenting, reviewing PRs, or more, this is your chance to experience what we’ve been building. ✨ Highlights: GitHub Superpowers: Let agents handle the heavy lifting with GitHub. Experimental Features: Try end-to-end workflows like Issue Creation → Code Change → Commit → PR. Autonomous Mode: where agents reason and act (or don't) accordingly! Coming soon—but you can explore the foundational building blocks right now. Check out the exciting user flows in our demo and join us in transforming how our community interacts with these tools. 🌐✨ 📘 Full User Guide: Under the GitHub section, featuring examples and tips for engaging with our agents effectively given the beta constraints (i.e. using a test github account, public vs. private repo, etc) Let’s build the future, one agent at a time! 🛠️ PS: Shoutout to ai16zdao for keeping the client the UI sharp and clean. 👏 PPS: Stay tuned—our Coinbase 🛡️ agent is dropping soon! 🚀🚀🚀

Reality Spiral

21,068 次观看 • 1 年前

𝐭𝐡𝐞 𝐰𝐨𝐫𝐝𝐰𝐚𝐫𝐞 𝐥𝐚𝐮𝐧𝐜𝐡: 𝐛𝐫𝐢𝐧𝐠𝐢𝐧𝐠 𝐀𝐈 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 𝐭𝐨 𝐥𝐢𝐟𝐞 🚀 𝐭𝐥;𝐝𝐫 we've spent the last months building triggers, tools & data sources for wordware - starting today, you can create AI workflows that actually run in your life without writing a single line of code. 2000+ integrations, english as the programming language, it looks like a document but works like magic. see what's possible with AI: 𝐭𝐡𝐞 𝐫𝐢𝐬𝐤𝐲 𝐛𝐞𝐭 🎲 we started by building an infrastructure product for technical teams making AI agents. the high-ceiling, powerful platform got traction - 60 real companies using our API some paying 15k mrr, 10mm+ people used these agents. then our last launch happened. 400k new users hit the same wall: "love it, but can't use it without coding." then we realized in today's world everyone is a builder. so we took the leap: what if our technical foundation became the perfect launchpad to make wordware deployable for everyone? 𝐭𝐡𝐞 𝐦𝐢𝐬𝐬𝐢𝐧𝐠 𝐩𝐢𝐞𝐜𝐞: 𝐭𝐫𝐢𝐠𝐠𝐞𝐫𝐬, 𝐭𝐨𝐨𝐥𝐬 & 𝐝𝐚𝐭𝐚 𝐬𝐨𝐮𝐫𝐜𝐞𝐬 ⚡ for the last months, our team has been working nights and weekends to transform wordware from an AI platform that requires engineers to integrate, into something anyone can deploy. you know those AI workflows already in your life? the ones where you copy-paste between different AI chats, manually trigger actions, and piece together insights? now you can describe it once and automate forever. 𝐰𝐡𝐚𝐭 𝐰𝐞 𝐛𝐮𝐢𝐥𝐭 🛠️ • 𝟐𝟎𝟎𝟎+ 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 - connect to all your favorite tools • 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭-𝐥𝐢𝐤𝐞 𝐢𝐧𝐭𝐞𝐫𝐟𝐚𝐜𝐞 - if you can write it in english, you can build it • 𝐫𝐞𝐚𝐬𝐨𝐧𝐢𝐧𝐠-𝐟𝐢𝐫𝐬𝐭 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 - not just "if this, then that" but "understand this, reason about it, then act" imagine: your typeform lead comes in → wordware analyzes intent, enriches with research, calculates a lead score, and routes to the right sales rep with a personalized draft email. or: your email triggers a workflow → wordware determines importance, archives the newsletter, flags the urgent request in slack, and drafts responses that sound like you. your intent and taste, AI's execution. 𝐰𝐡𝐲 𝐭𝐡𝐢𝐬 𝐦𝐚𝐭𝐭𝐞𝐫𝐬 💡 • the future of AI is systems working for us behind the scenes. • we're making AI the reasoning engine, not just another tool in the chain. • traditional automation moves data. wordware understands what that data means. 𝐣𝐨𝐢𝐧 𝐮𝐬 🚀 we've raised $30M to build the AI Operating System - where workflows get built, shared, deployed and forked. no waitlists - we're giving out credits to help build this ecosystem. get started for free: p.s. huge thanks to our team who pulled all-nighters, debugged on weekends, and somehow managed to ship 2000+ integrations while having fun next stop: the beach office with the wind/kite surfing rack 🏄‍♀️

𝐭𝐡𝐞 𝐰𝐨𝐫𝐝𝐰𝐚𝐫𝐞 𝐥𝐚𝐮𝐧𝐜𝐡: 𝐛𝐫𝐢𝐧𝐠𝐢𝐧𝐠 𝐀𝐈 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 𝐭𝐨 𝐥𝐢𝐟𝐞 🚀 𝐭𝐥;𝐝𝐫 we've spent the last months building triggers, tools & data sources for wordware - starting today, you can create AI workflows that actually run in your life without writing a single line of code. 2000+ integrations, english as the programming language, it looks like a document but works like magic. see what's possible with AI: 𝐭𝐡𝐞 𝐫𝐢𝐬𝐤𝐲 𝐛𝐞𝐭 🎲 we started by building an infrastructure product for technical teams making AI agents. the high-ceiling, powerful platform got traction - 60 real companies using our API some paying 15k mrr, 10mm+ people used these agents. then our last launch happened. 400k new users hit the same wall: "love it, but can't use it without coding." then we realized in today's world everyone is a builder. so we took the leap: what if our technical foundation became the perfect launchpad to make wordware deployable for everyone? 𝐭𝐡𝐞 𝐦𝐢𝐬𝐬𝐢𝐧𝐠 𝐩𝐢𝐞𝐜𝐞: 𝐭𝐫𝐢𝐠𝐠𝐞𝐫𝐬, 𝐭𝐨𝐨𝐥𝐬 & 𝐝𝐚𝐭𝐚 𝐬𝐨𝐮𝐫𝐜𝐞𝐬 ⚡ for the last months, our team has been working nights and weekends to transform wordware from an AI platform that requires engineers to integrate, into something anyone can deploy. you know those AI workflows already in your life? the ones where you copy-paste between different AI chats, manually trigger actions, and piece together insights? now you can describe it once and automate forever. 𝐰𝐡𝐚𝐭 𝐰𝐞 𝐛𝐮𝐢𝐥𝐭 🛠️ • 𝟐𝟎𝟎𝟎+ 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 - connect to all your favorite tools • 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭-𝐥𝐢𝐤𝐞 𝐢𝐧𝐭𝐞𝐫𝐟𝐚𝐜𝐞 - if you can write it in english, you can build it • 𝐫𝐞𝐚𝐬𝐨𝐧𝐢𝐧𝐠-𝐟𝐢𝐫𝐬𝐭 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 - not just "if this, then that" but "understand this, reason about it, then act" imagine: your typeform lead comes in → wordware analyzes intent, enriches with research, calculates a lead score, and routes to the right sales rep with a personalized draft email. or: your email triggers a workflow → wordware determines importance, archives the newsletter, flags the urgent request in slack, and drafts responses that sound like you. your intent and taste, AI's execution. 𝐰𝐡𝐲 𝐭𝐡𝐢𝐬 𝐦𝐚𝐭𝐭𝐞𝐫𝐬 💡 • the future of AI is systems working for us behind the scenes. • we're making AI the reasoning engine, not just another tool in the chain. • traditional automation moves data. wordware understands what that data means. 𝐣𝐨𝐢𝐧 𝐮𝐬 🚀 we've raised $30M to build the AI Operating System - where workflows get built, shared, deployed and forked. no waitlists - we're giving out credits to help build this ecosystem. get started for free: p.s. huge thanks to our team who pulled all-nighters, debugged on weekends, and somehow managed to ship 2000+ integrations while having fun next stop: the beach office with the wind/kite surfing rack 🏄‍♀️

Filip Kozera

65,236 次观看 • 1 年前

This is how you can get programmatic access to any website. You need two things: 1. The URL of the website 2. A prompt specifying what you want to do on the site Mino is a neat platform that uses browser automation and AI-powered navigation to understand your prompt, open the website, and extract the information you want. This opens the doors to unlimited potential automations you could build using data from everyday websites that don't give you an API. Mino uses AI to go way further than you could get by using a regular web scraping tool: • It can handle dynamic JavaScript content • It can handle login walls • It can navigate through interactive booking flows • It adapts to different interfaces and layout changes • It can fill out forms automatically • It supports stealth browser mode In my experience, running Mino on relatively straightforward sites takes about 30-60 seconds to complete. The more times you run it, the faster it gets. I recorded a quick video to show you the platform. You can check their site here: Thanks to the team for the support, onboarding me on their platform, and the collaboration on this post.

This is how you can get programmatic access to any website. You need two things: 1. The URL of the website 2. A prompt specifying what you want to do on the site Mino is a neat platform that uses browser automation and AI-powered navigation to understand your prompt, open the website, and extract the information you want. This opens the doors to unlimited potential automations you could build using data from everyday websites that don't give you an API. Mino uses AI to go way further than you could get by using a regular web scraping tool: • It can handle dynamic JavaScript content • It can handle login walls • It can navigate through interactive booking flows • It adapts to different interfaces and layout changes • It can fill out forms automatically • It supports stealth browser mode In my experience, running Mino on relatively straightforward sites takes about 30-60 seconds to complete. The more times you run it, the faster it gets. I recorded a quick video to show you the platform. You can check their site here: Thanks to the team for the support, onboarding me on their platform, and the collaboration on this post.

Santiago

31,742 次观看 • 7 个月前

XBOW raised $117M to build AI hacking agents. Now someone just open-sourced it for FREE. Strix deploys autonomous AI agents that act like real hackers - they run your code dynamically, find vulnerabilities, and validate them through actual proof-of-concepts. Why it matters: The biggest problem with traditional security testing is that it doesn't keep up with development speed. Strix solves this by integrating directly into your workflow: ↳ Run it in CI/CD to catch vulnerabilities before production ↳ Get real proof-of-concepts, not false positives from static analysis ↳ Test everything: injection attacks, access control, business logic flaws The best part? You don't need to be a security expert. Strix includes a complete hacker toolkit - HTTP proxy, browser automation, and Python runtime for exploit development. It's like having a security team that works at the speed of your CI/CD pipeline. The best part is that the tool runs locally in Docker containers, so your code never leaves your environment. Getting started is simple: - pipx install strix-agent - Point it at your codebase (app, repo, or directory) Everything is 100% open-source! I've shared link to the GitHub repo in the replies!

XBOW raised $117M to build AI hacking agents. Now someone just open-sourced it for FREE. Strix deploys autonomous AI agents that act like real hackers - they run your code dynamically, find vulnerabilities, and validate them through actual proof-of-concepts. Why it matters: The biggest problem with traditional security testing is that it doesn't keep up with development speed. Strix solves this by integrating directly into your workflow: ↳ Run it in CI/CD to catch vulnerabilities before production ↳ Get real proof-of-concepts, not false positives from static analysis ↳ Test everything: injection attacks, access control, business logic flaws The best part? You don't need to be a security expert. Strix includes a complete hacker toolkit - HTTP proxy, browser automation, and Python runtime for exploit development. It's like having a security team that works at the speed of your CI/CD pipeline. The best part is that the tool runs locally in Docker containers, so your code never leaves your environment. Getting started is simple: - pipx install strix-agent - Point it at your codebase (app, repo, or directory) Everything is 100% open-source! I've shared link to the GitHub repo in the replies!

Akshay 🚀

96,762 次观看 • 8 个月前

Excited to share our new project 🦉OWL - an open-source alternative to Manus AI with 6K+ stars and climbing… 🦉OWL: Everyone’s talking about Manus AI (an agent that can research, browse, code, and automate tasks.) But there’s a catch: → All the above agents cost $20 to $200 a month → Manus AI is available via an invite code only OWL by CAMEL-AI is an opensource project that’s breaking records: ⭐ 6K+ GitHub stars in 2 days 🏆 Ranks #1 on the GAIA Benchmark among open-source projects with a 58.18 avg score! 📌 Specialized Multi-Agent Collaboration ↳ AI user agents break down complex tasks ↳ Assistants agents create detailed execution strategies and interact with tools and tool agents ↳ Tools / Tool agents interface with external services and APIs 📌 Real-World Capabilities ↳ Autonomous research, coding, and web browsing ↳ Runs locally on your machine for privacy ↳ Supports top LLMs (easily integrated with GPT-4O, Claude 3.7, Gemini, Mistral, DeepSeek , Qwen, Ollama, Groq more) ↳ Automates complex workflows, from research to execution I 📌 Simple Setup ↳ Fast installs via conda or uv ↳ Docker support for easy deployment ↳ Straightforward config with TOML files No restrictions. No invites. No paywalls. Just powerful multi-agent collaboration. AI autonomy shouldn’t be locked behind paywalls.

Excited to share our new project 🦉OWL - an open-source alternative to Manus AI with 6K+ stars and climbing… 🦉OWL: Everyone’s talking about Manus AI (an agent that can research, browse, code, and automate tasks.) But there’s a catch: → All the above agents cost $20 to $200 a month → Manus AI is available via an invite code only OWL by CAMEL-AI is an opensource project that’s breaking records: ⭐ 6K+ GitHub stars in 2 days 🏆 Ranks #1 on the GAIA Benchmark among open-source projects with a 58.18 avg score! 📌 Specialized Multi-Agent Collaboration ↳ AI user agents break down complex tasks ↳ Assistants agents create detailed execution strategies and interact with tools and tool agents ↳ Tools / Tool agents interface with external services and APIs 📌 Real-World Capabilities ↳ Autonomous research, coding, and web browsing ↳ Runs locally on your machine for privacy ↳ Supports top LLMs (easily integrated with GPT-4O, Claude 3.7, Gemini, Mistral, DeepSeek , Qwen, Ollama, Groq more) ↳ Automates complex workflows, from research to execution I 📌 Simple Setup ↳ Fast installs via conda or uv ↳ Docker support for easy deployment ↳ Straightforward config with TOML files No restrictions. No invites. No paywalls. Just powerful multi-agent collaboration. AI autonomy shouldn’t be locked behind paywalls.

Guohao Li 🐫

223,208 次观看 • 1 年前

Here we go again 🚀! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. ⁉️ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilio’s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted allies—always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon 🔜.

Here we go again 🚀! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. ⁉️ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilio’s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted allies—always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon 🔜.

Pasha Rayan

53,950 次观看 • 1 年前

Tl;dr starting yesterday, QFEX will not require document ID verification for its ordinary retail users. QFEX users have already been notified via email and Discord. While we are all celebrating this as a MASSIVE UX improvement, the real reasons run deeper than that. People don't talk about compliance because it's not sexy. Everyone has a moral duty to prevent money laundering and terrorist financing. At QFEX, we take this duty seriously. Long run, dexes whose main business model is facilitating crime will be shut down and their exec team sent to prison. Our commitment to compliance is the reason why we are able to attract the market makers and liquidity that we do. For years, document KYC has been the standard method of enforcing compliance policies. In the age of AI, it has become painfully obvious to us (see the below video) that the bad guys will always be one step ahead of the compliance software providers. Like most illicit businesses, the economics are just in their favour. A couple of months ago, we began looking for alternatives. I'm delighted to announce the integration of a new, powerful AI-based tool that, for the first time, integrates user data across browser sessions, blockchain history and trade history across QFEX and all perp dexes to build a complete user profile and enforce compliance policies. This mogs document KYC and allows us to rest in peace knowing that our users are genuine, without knowing their passport details. How markets should be.

ak0

13,622 次观看 • 2 个月前

The time has come. Introducing Parallel an all-in-one copy trading platform for DeFi products that combines four years of our experience building on Solana and AI to create what we hope is a one-of-a-kind product for the Solana ecosystem. It’s our pleasure to announce that we’re now entering private beta for our first module built around Meteora DLMMs. You’ll be able to copy trade DLMM positions with fast execution and a ton of automated functions on top. Some key features: * Stop loss/take profit * Real-time PnL shown on the UI for your LP * Automatically claim fees when they reach X SOL or on a timer * Automatically swap all claimed fees into SOL * Become a power user and earn a % of fees from everyone copying your wallet * Generous referral comp And much more! Data feeds & AI: We understand what it takes for a copy trading platform to thrive, so we’ve been collecting real-time data from several contracts for both Meteora and the upcoming modules we’re releasing. As you can imagine, we’re handling tons of data, so with the help of AI, we’re not only analyzing potential up-and-coming wallets but also the top wallets on-chain that people don’t want you to know about. This applies to all aspects of DeFi—not just token trading. To access these data feeds, you’ll need $GP or our native Taiyo NFTs. More information will roll out as these feeds start to go live. Private Beta Access: We’re now collecting a list of the first 100 private beta testers, including LP army members, the Taiyo community, BOOGLES, and more. If you’re interested in getting early access, you can now submit your email at 👇 We recommend always creating a separate email for crypto purposes to keep your personal and online profiles separate. Excited to cook with you on our first non Launchpad related platform since Solport itself back in 2021. 🤝

The time has come. Introducing Parallel an all-in-one copy trading platform for DeFi products that combines four years of our experience building on Solana and AI to create what we hope is a one-of-a-kind product for the Solana ecosystem. It’s our pleasure to announce that we’re now entering private beta for our first module built around Meteora DLMMs. You’ll be able to copy trade DLMM positions with fast execution and a ton of automated functions on top. Some key features: * Stop loss/take profit * Real-time PnL shown on the UI for your LP * Automatically claim fees when they reach X SOL or on a timer * Automatically swap all claimed fees into SOL * Become a power user and earn a % of fees from everyone copying your wallet * Generous referral comp And much more! Data feeds & AI: We understand what it takes for a copy trading platform to thrive, so we’ve been collecting real-time data from several contracts for both Meteora and the upcoming modules we’re releasing. As you can imagine, we’re handling tons of data, so with the help of AI, we’re not only analyzing potential up-and-coming wallets but also the top wallets on-chain that people don’t want you to know about. This applies to all aspects of DeFi—not just token trading. To access these data feeds, you’ll need $GP or our native Taiyo NFTs. More information will roll out as these feeds start to go live. Private Beta Access: We’re now collecting a list of the first 100 private beta testers, including LP army members, the Taiyo community, BOOGLES, and more. If you’re interested in getting early access, you can now submit your email at 👇 We recommend always creating a separate email for crypto purposes to keep your personal and online profiles separate. Excited to cook with you on our first non Launchpad related platform since Solport itself back in 2021. 🤝

Tom

105,737 次观看 • 1 年前