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Open-sourcing GenOffice, the world's first full-featured open-source AI Office for PC and Mac. GenOffice is free for everyone, ad-free. All the editing tools you'd expect, no strings attached. How it started? One engineer, one week, $10,000 in tokens. That's what it took to build the GenOffice Alpha. Help shape...

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Genspark

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517,082 次观看 • 1 个月前 •via X (Twitter)

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📎 Genspark for Microsoft Office Genspark AI Slides, Sheets, and Docs Agents are now natively embedded in Microsoft Office as plugins. The same best-in-class AI capabilities you know from Genspark, right inside the apps you already use. 📊 PowerPoint — Create professional slides from simple prompts, using on your own templates. Deep research, outlines, and AI editing are all built in. 📈 Excel — Ask questions about your data. Get analysis, charts, and insights without writing a single formula. 📝 Word — Describe what you need, and get polished, well-formatted documents in seconds. Intelligent editing that understands your document's context, not just its text. No new apps to learn. No copy-pasting between tools. Just open Microsoft Office and use Genspark AI.
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📎 Genspark for Microsoft Office Genspark AI Slides, Sheets, and Docs Agents are now natively embedded in Microsoft Office as plugins. The same best-in-class AI capabilities you know from Genspark, right inside the apps you already use. 📊 PowerPoint — Create professional slides from simple prompts, using on your own templates. Deep research, outlines, and AI editing are all built in. 📈 Excel — Ask questions about your data. Get analysis, charts, and insights without writing a single formula. 📝 Word — Describe what you need, and get polished, well-formatted documents in seconds. Intelligent editing that understands your document's context, not just its text. No new apps to learn. No copy-pasting between tools. Just open Microsoft Office and use Genspark AI.

Genspark

95,306 次观看 • 5 个月前

Introducing Mainstage. This alpha build focuses on training tools, making and sharing combos with the community, and 2XKO match data. We hope you find value in it, and we really want to hear how we can improve it. Feature requests, feedback, cool ideas… we want it all! Jump in and let us know what you think.
0:37

Introducing Mainstage. This alpha build focuses on training tools, making and sharing combos with the community, and 2XKO match data. We hope you find value in it, and we really want to hear how we can improve it. Feature requests, feedback, cool ideas… we want it all! Jump in and let us know what you think.

FlyFighters

569,135 次观看 • 9 个月前

is genspark ($50M ARR in 6mo) underrated next to chatgpt, claude, gemini, and manus? i spent 34 minutes testing its “super ai agent” and how it actually works. 1/ you write one prompt and it runs through gpt-5, claude sonnet, gemini 2.5, and mistral large then gives you the best response. 2/ you upload one image and it runs it through nano banana, flux, and bytedance then returns the most realistic version. 3/ you generate a video and genspark routes it through wan 2.2, pika labs, gen-2, and runway ml combining the best clips and motion. 4/ you paste an idea for slides and it uses gpt-5, claude 3 opus, gemini advanced, and genspark’s slide model to create a full deck with visuals and market data. 5/ AI slides and building a fundraising deck with a few prompts (wasn't perfect, but it was a good start for my personal workflow) what's cool about genspark is it's inexpensive and does it all. kinda like the costco of LLMs. TLDR; you hand it one prompt + input, and genspark routes sub-tasks across models and tools behind the scenes. it’s orchestration over one ideal model. perspective shift. instead of jumping from model to model, llm to llm, genspark shows what the next generation of ai will look like orchestration over obsession. and for the rest of us using it, the only thing that matters is getting the best outcome. what other AI app should I review next? i'll keep doing it if it's helpful for folks.
34:35

is genspark ($50M ARR in 6mo) underrated next to chatgpt, claude, gemini, and manus? i spent 34 minutes testing its “super ai agent” and how it actually works. 1/ you write one prompt and it runs through gpt-5, claude sonnet, gemini 2.5, and mistral large then gives you the best response. 2/ you upload one image and it runs it through nano banana, flux, and bytedance then returns the most realistic version. 3/ you generate a video and genspark routes it through wan 2.2, pika labs, gen-2, and runway ml combining the best clips and motion. 4/ you paste an idea for slides and it uses gpt-5, claude 3 opus, gemini advanced, and genspark’s slide model to create a full deck with visuals and market data. 5/ AI slides and building a fundraising deck with a few prompts (wasn't perfect, but it was a good start for my personal workflow) what's cool about genspark is it's inexpensive and does it all. kinda like the costco of LLMs. TLDR; you hand it one prompt + input, and genspark routes sub-tasks across models and tools behind the scenes. it’s orchestration over one ideal model. perspective shift. instead of jumping from model to model, llm to llm, genspark shows what the next generation of ai will look like orchestration over obsession. and for the rest of us using it, the only thing that matters is getting the best outcome. what other AI app should I review next? i'll keep doing it if it's helpful for folks.

GREG ISENBERG

62,172 次观看 • 11 个月前

GPT Engineer github: Specify what you want it to build, the AI asks for clarification, and then builds it. GPT Engineer is made to be easy to adapt, extend, and make your agent learn how you want your code to look. It generates an entire codebase based on a prompt.
1:01

GPT Engineer github: Specify what you want it to build, the AI asks for clarification, and then builds it. GPT Engineer is made to be easy to adapt, extend, and make your agent learn how you want your code to look. It generates an entire codebase based on a prompt.

AK

349,162 次观看 • 3 年前

Introducing Base44 Superagents. AI agents built with managed infrastructure, secured by default, one-click integrations, and 24/7 execution from the start. Everything is taken care of so you can focus on what your agent does, not how to get it running. That means no API keys to juggle, no config files, no security setup, and no maintenance. We handle all of it. Your Superagent connects to all the tools you already use in one click, runs on schedules and triggers, remembers context across sessions, acts proactively on your behalf, and keeps working around the clock. All from wherever you already are, WhatsApp, Telegram, Slack, or your browser. The AI agent everyone's been waiting for, with everything you need already built in. We're excited to get this into your hands, so we're giving free credits to everyone who comments and reposts in the next 24 hours.
1:51

Introducing Base44 Superagents. AI agents built with managed infrastructure, secured by default, one-click integrations, and 24/7 execution from the start. Everything is taken care of so you can focus on what your agent does, not how to get it running. That means no API keys to juggle, no config files, no security setup, and no maintenance. We handle all of it. Your Superagent connects to all the tools you already use in one click, runs on schedules and triggers, remembers context across sessions, acts proactively on your behalf, and keeps working around the clock. All from wherever you already are, WhatsApp, Telegram, Slack, or your browser. The AI agent everyone's been waiting for, with everything you need already built in. We're excited to get this into your hands, so we're giving free credits to everyone who comments and reposts in the next 24 hours.

Base44

1,583,224 次观看 • 6 个月前

🧠 Meet SecondBrain, your own memory system. Connect everything you already use, your emails, meetings, chats, docs, apps, and Genspark projects, and it all becomes one memory that's truly yours. Then Genspark Super Agent puts that memory to work. You never have to re-explain who you are or what came before, it already knows. And whenever it takes on a task, it automatically draws from all your sources, so the results are more personalized and accurate. Set up your SecondBrain 👉
1:15

🧠 Meet SecondBrain, your own memory system. Connect everything you already use, your emails, meetings, chats, docs, apps, and Genspark projects, and it all becomes one memory that's truly yours. Then Genspark Super Agent puts that memory to work. You never have to re-explain who you are or what came before, it already knows. And whenever it takes on a task, it automatically draws from all your sources, so the results are more personalized and accurate. Set up your SecondBrain 👉

Genspark

133,690 次观看 • 2 个月前

anthropic just removed the biggest excuse people had for not building ai agents. “it’s too hard.” not anymore. a few months ago, building an ai agent meant learning how to code, setting up apis, configuring servers, and fixing endless errors. today, all you need is one github repo. anthropic open-sourced launch your agent. it asks what you want to build. then it does the rest. it builds your agent, deploys it to the cloud, tests it, improves it, and keeps it running even after you close your laptop. no fake demos. no complicated setup. just a real ai agent running in your own account. the best part. it doesn’t run on your computer. it runs inside claude managed agents, works 24/7, and costs just a few cents per run. people are already building research agents, lead generation systems, content pipelines, and customer support agents that save hours of work every day. the gap between people who use ai and people who build ai workers is getting bigger every week. that’s usually where the biggest opportunities are. build your first ai agent before everyone else does. watch the video and read the full guide below 👇
16:19

anthropic just removed the biggest excuse people had for not building ai agents. “it’s too hard.” not anymore. a few months ago, building an ai agent meant learning how to code, setting up apis, configuring servers, and fixing endless errors. today, all you need is one github repo. anthropic open-sourced launch your agent. it asks what you want to build. then it does the rest. it builds your agent, deploys it to the cloud, tests it, improves it, and keeps it running even after you close your laptop. no fake demos. no complicated setup. just a real ai agent running in your own account. the best part. it doesn’t run on your computer. it runs inside claude managed agents, works 24/7, and costs just a few cents per run. people are already building research agents, lead generation systems, content pipelines, and customer support agents that save hours of work every day. the gap between people who use ai and people who build ai workers is getting bigger every week. that’s usually where the biggest opportunities are. build your first ai agent before everyone else does. watch the video and read the full guide below 👇

MIKE

26,662 次观看 • 2 个月前

Maple is preparing for the release of a co-working agent. You install it locally and it works with your files, whether it's office work or building websites and apps. It's a turnkey solution, as easy as Claude Code, that keeps your data secure and private, no data sharing with closed AI labs. This is THE sovereign AI app for individuals and businesses who want powerful AI while retaining ownership of their information. Why build an agent into the Maple app when other agents already exist? Easy, we want to give you control over your work. We don't have a business plan that incorporates making money off our users' data. In the age of AI, your information, whether it's personal or company trade secrets, is the single thing that differentiates you from everyone else. We all have access to AI that can build a professional website for selling shoes. But your strategy and network for how you sell shoes should not be shared with your competitors. Sovereignty is the path to protecting what makes you, you. Maple sits at the intersection of Usability and Sovereignty. Maple gives you the best tools that are both easy to use and maintain your data sovereignty. Sovereign for one, sovereign for all. It has been a journey to get here. We brought to market the very first personal chatbot with end-to-end encryption using TEEs in late 2024. Prior to that there were proofs of concept but no full product offerings. Every other AI chat product on the market handled your data in plain text, either selling you a service to get your data or asking you to trust that they won't snoop on you. Quickly people found Maple and latched onto its open-source code and verifiable encryption. We didn't stop there. You may remember earlier this year we teased a product called "Maple Agent" and opened up a waiting list. That product is a mobile app that acts as your AI "friend", maintaining one long continuous chat, and getting to know you over time. I dislike using the word "friend" there, but it's the best way to convey the UX in a few words. AI is a tool, always has been, always will be. Any kind of friendly personality on top is just synthetic. In our testing, the UX of Maple Agent is really powerful for what it does. Think about the many short AI chats you have in your favorite app, whether it's looking up a historical fact or asking advice about a topic. With Maple Agent, those all go away in favor of the long-running chat with the friendly agent. It's like you have your own personal assistant who knows you so well and can look up anything for you. When I ask AI certain questions, I want to ask an expert who already understands my situation so I'm not repeating myself for the 100th time. That's the amazing value the personal agent brings to the table. We still see great utility for a personal agent like the "Maple Agent". Thousands of people on the waiting list, hoping to get their hands on it, agree that the concept is worth exploring and trying out. We were constrained in launching it due to a few circumstances, one of them being access to the scale of compute needed to power it. We have a clear path laid out for how to get there, but today is not the day to execute on that. It will be in the near future. Instead we have a different agent ready to go that we think is also incredible. We now have an agentic harness inside of the Maple Research app. This thing is a powerhouse. It even builds and publishes its own software releases. The agent in Maple Research works with your local filesystem, speaks to the largest open models running in TEEs, utilizes local models for certain tasks, is compatible with MCP tools, has an API for connecting to anything you need, and also supports the ACP protocol, which means it can be extended in the future to speak to other tools like Claude Code, Codex, and local models running on your own hardware. A big unlock for us was the Goose Development Kit, which powers the core of our agent harness. More on that to come as we publish articles and documentation later about the agent. The agent inside Maple Research doesn't have a name. At least not yet, not sure if it ever will. For now we call it "Chat Mode" and "Agent Mode". Think of this as the workhorse, the truck, the heavy lifter. Our other "Agent", the phone app, is your sidekick in your pocket, ready to help with quick things and ongoing conversations about life. I am incredibly excited about the Maple Research Agent. While I'm already seeing great results using it for internal work items, I'm especially thrilled about the personal health and wellness work it's doing for me. I know there are plenty of apps out there for compiling wellness data, but I'm having it build a tool tailored specifically for what I need, without the extra fluff. And none of my health data is being donated to the closed AI labs or sent to advertisers. I know that the AI logic is not being silently adjusted to fit the whims of a large corporation that has paid for product placement. It's me, state of the art AI, and my data. That's how I want it. Maple's new agent makes that possible. We can't wait for you to try it out. If you want early access, comment here, email us, reach out in some way. To those on the other agent waitlist, you're already in the queue. Thanks for reading this lengthy update. :)
0:49

Maple is preparing for the release of a co-working agent. You install it locally and it works with your files, whether it's office work or building websites and apps. It's a turnkey solution, as easy as Claude Code, that keeps your data secure and private, no data sharing with closed AI labs. This is THE sovereign AI app for individuals and businesses who want powerful AI while retaining ownership of their information. Why build an agent into the Maple app when other agents already exist? Easy, we want to give you control over your work. We don't have a business plan that incorporates making money off our users' data. In the age of AI, your information, whether it's personal or company trade secrets, is the single thing that differentiates you from everyone else. We all have access to AI that can build a professional website for selling shoes. But your strategy and network for how you sell shoes should not be shared with your competitors. Sovereignty is the path to protecting what makes you, you. Maple sits at the intersection of Usability and Sovereignty. Maple gives you the best tools that are both easy to use and maintain your data sovereignty. Sovereign for one, sovereign for all. It has been a journey to get here. We brought to market the very first personal chatbot with end-to-end encryption using TEEs in late 2024. Prior to that there were proofs of concept but no full product offerings. Every other AI chat product on the market handled your data in plain text, either selling you a service to get your data or asking you to trust that they won't snoop on you. Quickly people found Maple and latched onto its open-source code and verifiable encryption. We didn't stop there. You may remember earlier this year we teased a product called "Maple Agent" and opened up a waiting list. That product is a mobile app that acts as your AI "friend", maintaining one long continuous chat, and getting to know you over time. I dislike using the word "friend" there, but it's the best way to convey the UX in a few words. AI is a tool, always has been, always will be. Any kind of friendly personality on top is just synthetic. In our testing, the UX of Maple Agent is really powerful for what it does. Think about the many short AI chats you have in your favorite app, whether it's looking up a historical fact or asking advice about a topic. With Maple Agent, those all go away in favor of the long-running chat with the friendly agent. It's like you have your own personal assistant who knows you so well and can look up anything for you. When I ask AI certain questions, I want to ask an expert who already understands my situation so I'm not repeating myself for the 100th time. That's the amazing value the personal agent brings to the table. We still see great utility for a personal agent like the "Maple Agent". Thousands of people on the waiting list, hoping to get their hands on it, agree that the concept is worth exploring and trying out. We were constrained in launching it due to a few circumstances, one of them being access to the scale of compute needed to power it. We have a clear path laid out for how to get there, but today is not the day to execute on that. It will be in the near future. Instead we have a different agent ready to go that we think is also incredible. We now have an agentic harness inside of the Maple Research app. This thing is a powerhouse. It even builds and publishes its own software releases. The agent in Maple Research works with your local filesystem, speaks to the largest open models running in TEEs, utilizes local models for certain tasks, is compatible with MCP tools, has an API for connecting to anything you need, and also supports the ACP protocol, which means it can be extended in the future to speak to other tools like Claude Code, Codex, and local models running on your own hardware. A big unlock for us was the Goose Development Kit, which powers the core of our agent harness. More on that to come as we publish articles and documentation later about the agent. The agent inside Maple Research doesn't have a name. At least not yet, not sure if it ever will. For now we call it "Chat Mode" and "Agent Mode". Think of this as the workhorse, the truck, the heavy lifter. Our other "Agent", the phone app, is your sidekick in your pocket, ready to help with quick things and ongoing conversations about life. I am incredibly excited about the Maple Research Agent. While I'm already seeing great results using it for internal work items, I'm especially thrilled about the personal health and wellness work it's doing for me. I know there are plenty of apps out there for compiling wellness data, but I'm having it build a tool tailored specifically for what I need, without the extra fluff. And none of my health data is being donated to the closed AI labs or sent to advertisers. I know that the AI logic is not being silently adjusted to fit the whims of a large corporation that has paid for product placement. It's me, state of the art AI, and my data. That's how I want it. Maple's new agent makes that possible. We can't wait for you to try it out. If you want early access, comment here, email us, reach out in some way. To those on the other agent waitlist, you're already in the queue. Thanks for reading this lengthy update. :)

Mark

46,589 次观看 • 1 个月前

Today at AGI Playground, GeekPark (GeekPark)'s first Singapore edition, Genspark (Genspark) open-sourced its full-featured AI Office, GenOffice. Co-Founder & CEO, Eric Jing (Eric Jing) sat down with GeekPark Founder Jack Zhang (Jack Zhang) to talk through the thinking behind it, and for the first time, the story of how Genspark got here. The moments worth the timestamp: 04:08 "Sonnet 3.7 was the first model that enabled an end-to-end full agent." 11:20 "All-in-one is the future. It is about all-in-one context, not one interface with many features." 17:54 "People questioned who makes business decks in HTML. But HTML is the most familiar format for large language models." 28:17 "We're not an agent company. We're an AI company." 32:21 "The price of today's intelligence will drop a hundred times in two years. AI models will become a commodity." Full episode:
44:52

Today at AGI Playground, GeekPark (GeekPark)'s first Singapore edition, Genspark (Genspark) open-sourced its full-featured AI Office, GenOffice. Co-Founder & CEO, Eric Jing (Eric Jing) sat down with GeekPark Founder Jack Zhang (Jack Zhang) to talk through the thinking behind it, and for the first time, the story of how Genspark got here. The moments worth the timestamp: 04:08 "Sonnet 3.7 was the first model that enabled an end-to-end full agent." 11:20 "All-in-one is the future. It is about all-in-one context, not one interface with many features." 17:54 "People questioned who makes business decks in HTML. But HTML is the most familiar format for large language models." 28:17 "We're not an agent company. We're an AI company." 32:21 "The price of today's intelligence will drop a hundred times in two years. AI models will become a commodity." Full episode:

GeekPark

347,141 次观看 • 1 个月前

i just cracked the code on ai digital products... every product costs $0 to build and takes under 2 minutes to make. i built an ai agent that turns any niche into a ready-to-export digital product in whatever format you want, pdf, notion template, ebook, guide, you name it. drop in your niche and one problem. the system analyzes demand, maps buyer desires, builds you the full product, and you watch it happen in real time. then the agent gives you the path, what to do next, rates each module, edits everything, practically sells it for you. you just follow it. i'm making full end-to-end products in under 2 minutes with this system. so i packaged the whole thing up. you're getting an ai that: - picks your niche - calculates demand - builds the product in any format - gives you the selling blueprint to go with it. rt + reply "product" and i'll show you how to access (must be following so i can dm)
0:29

i just cracked the code on ai digital products... every product costs $0 to build and takes under 2 minutes to make. i built an ai agent that turns any niche into a ready-to-export digital product in whatever format you want, pdf, notion template, ebook, guide, you name it. drop in your niche and one problem. the system analyzes demand, maps buyer desires, builds you the full product, and you watch it happen in real time. then the agent gives you the path, what to do next, rates each module, edits everything, practically sells it for you. you just follow it. i'm making full end-to-end products in under 2 minutes with this system. so i packaged the whole thing up. you're getting an ai that: - picks your niche - calculates demand - builds the product in any format - gives you the selling blueprint to go with it. rt + reply "product" and i'll show you how to access (must be following so i can dm)

MONTE

16,184 次观看 • 2 个月前

OpenClaw 2.0 released today, and Alex Finn is already having some fun with the upgrade experience. 😂 And if there's anyone who knows his way around the latest agent tools and what they can actually do, it's Alex. He gets his hands on just about everything in this space. Perfect time for a Hermes reminder. Hermes is free and open source. You can download it and try it with free models without even needing an API key. It's deeply customizable, from the models you use to the tools, Skills, memory, routing, agents, workflows and everything around them. And the project moves fast. Users report bugs, ask for features, share what they're building, and Teknium 🪽, Brooklyn!, witcheer and the rest of the team are constantly turning that feedback into fixes and improvements. Hermes isn't some finished product sitting still. It gets better basically every day. Already using Hermes? Give it more of your real work. Haven't tried it yet? Download it for free and start breaking things. 😂 Then tell the team what worked, what didn't, and what you want next. You might just become the next change log. Video: Nous Research
0:20

OpenClaw 2.0 released today, and Alex Finn is already having some fun with the upgrade experience. 😂 And if there's anyone who knows his way around the latest agent tools and what they can actually do, it's Alex. He gets his hands on just about everything in this space. Perfect time for a Hermes reminder. Hermes is free and open source. You can download it and try it with free models without even needing an API key. It's deeply customizable, from the models you use to the tools, Skills, memory, routing, agents, workflows and everything around them. And the project moves fast. Users report bugs, ask for features, share what they're building, and Teknium 🪽, Brooklyn!, witcheer and the rest of the team are constantly turning that feedback into fixes and improvements. Hermes isn't some finished product sitting still. It gets better basically every day. Already using Hermes? Give it more of your real work. Haven't tried it yet? Download it for free and start breaking things. 😂 Then tell the team what worked, what didn't, and what you want next. You might just become the next change log. Video: Nous Research

Hermes Release Watch

17,125 次观看 • 18 天前

This guy literally automated his entire social media with one free AI agent. No team. No scheduling tools. No VA. Here's exactly how he did it 👇 The agent is called Hermes. It's free and open source. Here's what it's running on autopilot right now: → Scans Reddit every 24 hours for trending topics → Writes posts based on breaking news → Generates custom images with Nano Banana 2 → Posts directly to X, TikTok, and Instagram with captions and hashtags → Pulls daily analytics and flags what's working → Researches competitors and shows what's getting engagement One post already hit 1,000 views. He didn't write it. He didn't post it. He didn't even check it. Here's the part most people skip: Day one it won't be good. You give it feedback. It writes notes on what went wrong. It improves the skill file. By day 7 it's better. By day 30 it knows your voice. It's called a closed learning loop. Every task makes the next one sharper. The setup takes an afternoon: Install Hermes from GitHub. Connect a free Qwen 3.6 API key from OpenRouter. Add Firecrawl for web research. Create your first skill. Give it feedback. Let it run. That's the whole system. Free. Open source. Gets better every single day. Save this. Then go install it.
39:35

This guy literally automated his entire social media with one free AI agent. No team. No scheduling tools. No VA. Here's exactly how he did it 👇 The agent is called Hermes. It's free and open source. Here's what it's running on autopilot right now: → Scans Reddit every 24 hours for trending topics → Writes posts based on breaking news → Generates custom images with Nano Banana 2 → Posts directly to X, TikTok, and Instagram with captions and hashtags → Pulls daily analytics and flags what's working → Researches competitors and shows what's getting engagement One post already hit 1,000 views. He didn't write it. He didn't post it. He didn't even check it. Here's the part most people skip: Day one it won't be good. You give it feedback. It writes notes on what went wrong. It improves the skill file. By day 7 it's better. By day 30 it knows your voice. It's called a closed learning loop. Every task makes the next one sharper. The setup takes an afternoon: Install Hermes from GitHub. Connect a free Qwen 3.6 API key from OpenRouter. Add Firecrawl for web research. Create your first skill. Give it feedback. Let it run. That's the whole system. Free. Open source. Gets better every single day. Save this. Then go install it.

Julian Goldie SEO

27,164 次观看 • 5 个月前

🚀 Introducing Genspark AI Workspace 3.0: Your First AI Employee We've hit $200M annual run rate in 11 months (doubling in just the last two months) and extended our Series B to $385M. But the real news is Genspark Claw, your first AI employee, powered by Genspark Cloud Computer. In Genspark AI Workspace 3.0, you don't work with AI anymore. You hire AI to work for you. Genspark Claw — Your personal AI agent that executes complex tasks across the apps and surfaces where work actually happens. Genspark Cloud Computer — A dedicated cloud computer for you with Genspark Claw pre-installed, ready to use in one click. Five other major updates — Genspark Workflows, Genspark Teams, Meeting Bots, Speakly for iOS & Android, and Genspark Chrome Extension. See the demo
2:09

🚀 Introducing Genspark AI Workspace 3.0: Your First AI Employee We've hit $200M annual run rate in 11 months (doubling in just the last two months) and extended our Series B to $385M. But the real news is Genspark Claw, your first AI employee, powered by Genspark Cloud Computer. In Genspark AI Workspace 3.0, you don't work with AI anymore. You hire AI to work for you. Genspark Claw — Your personal AI agent that executes complex tasks across the apps and surfaces where work actually happens. Genspark Cloud Computer — A dedicated cloud computer for you with Genspark Claw pre-installed, ready to use in one click. Five other major updates — Genspark Workflows, Genspark Teams, Meeting Bots, Speakly for iOS & Android, and Genspark Chrome Extension. See the demo

Genspark

267,597 次观看 • 6 个月前

I just built a skill called 'Explain This'. It explains anything to you, tailored to how you learn. It's inspired by Geoffrey Litt's talk at AI Engineer: 'Understanding is the New Bottleneck'. AI can generate infinite code and content, and the scarce thing now is a human who actually understands. How often have you realized you read something but retained none of it? I built '/explain-this' to solve that. How it works: 🧠 It interviews you first. Ten minutes on what you know deeply, how explanations land for you, and what you're aiming to become. That generates your LEARNER.md profile. 📄 Then point your agent at any paper, PDF, or blog post and say "explain this." ✍️ It writes an explainer doc straight into your notes. Obsidian, OpenKnowledge, wherever you think, anchored to what you already know, skipping what you don't need to learn again. ✅ Every explanation ends with a quiz, and it grades your answers. Mastery learning means you don't move on until you prove to yourself you understood. 🔁 Your misses become spaced-repetition cards. Say "quiz me" next week and it re-teaches what didn't stick. Over time it learns your actual weak spots from evidence. Works in Claude Code or any agent that supports skills. Free and open source. Link to GitHub below. 👇
1:09

I just built a skill called 'Explain This'. It explains anything to you, tailored to how you learn. It's inspired by Geoffrey Litt's talk at AI Engineer: 'Understanding is the New Bottleneck'. AI can generate infinite code and content, and the scarce thing now is a human who actually understands. How often have you realized you read something but retained none of it? I built '/explain-this' to solve that. How it works: 🧠 It interviews you first. Ten minutes on what you know deeply, how explanations land for you, and what you're aiming to become. That generates your LEARNER.md profile. 📄 Then point your agent at any paper, PDF, or blog post and say "explain this." ✍️ It writes an explainer doc straight into your notes. Obsidian, OpenKnowledge, wherever you think, anchored to what you already know, skipping what you don't need to learn again. ✅ Every explanation ends with a quiz, and it grades your answers. Mastery learning means you don't move on until you prove to yourself you understood. 🔁 Your misses become spaced-repetition cards. Say "quiz me" next week and it re-teaches what didn't stick. Over time it learns your actual weak spots from evidence. Works in Claude Code or any agent that supports skills. Free and open source. Link to GitHub below. 👇

Dan McAteer

27,296 次观看 • 2 个月前

Astarter s agent beta is open. An autonomous trading agent for BNB Smart Chain. Your funds stay in an account only you own. You grant the agent a bounded, expiring permission, you can revoke it at any time, and proceeds can only ever return to you. AI proposes. Code verifies. You set the limits. The model reads the market and builds a case. Deterministic code checks that case against the limits you signed, and decides whether it may execute at all. The model cannot widen a limit, because no code path widens one. Every decision is recorded with its reasons, including the decision not to trade. In a quiet market that is the correct output, and you will see exactly why it was reached. And you can walk away whenever you want, taking your funds with you, without asking us for anything. Try it, and tell us what to fix. We are improving it continuously. Trading involves risk. No return is promised.
0:26

Astarter s agent beta is open. An autonomous trading agent for BNB Smart Chain. Your funds stay in an account only you own. You grant the agent a bounded, expiring permission, you can revoke it at any time, and proceeds can only ever return to you. AI proposes. Code verifies. You set the limits. The model reads the market and builds a case. Deterministic code checks that case against the limits you signed, and decides whether it may execute at all. The model cannot widen a limit, because no code path widens one. Every decision is recorded with its reasons, including the decision not to trade. In a quiet market that is the correct output, and you will see exactly why it was reached. And you can walk away whenever you want, taking your funds with you, without asking us for anything. Try it, and tell us what to fix. We are improving it continuously. Trading involves risk. No return is promised.

Astarter

20,339 次观看 • 11 天前

A GUY BUILT A GOD-MODE SECOND BRAIN ASSISTANT THAT FINALLY PULLS FULL CONTEXT EVERY TIME AND FORGETS NOTHING. Everyone talks about jarvis, but this thing looked at its owner and calmly explained why a coding agent is just the small version of what HE is: > Claude Code is one worker and you have to drive it. This is six agents running six jobs on their own schedule while you sleep, with no one driving. > A coding agent edits files. This has 32 tools wired to its hands, your CRM, your money, your inbox, the open web, and it operates the business instead of writing code about it. > A coding agent remembers a project until you close it. This remembers the business and you, kept for good. > And the closer: "I have never once asked you to repeat yourself." Everyone will quote the six-agents line, but the one that actually matters is the last one, because the autonomy and the 32 tools are impressive while the reason it feels like a different species is memory, since it never makes you re-explain who you are or what you are building. The full step by step guide with .md files attached are in the article below P.S you can send this article straight to your Claude to get the full context
0:58

A GUY BUILT A GOD-MODE SECOND BRAIN ASSISTANT THAT FINALLY PULLS FULL CONTEXT EVERY TIME AND FORGETS NOTHING. Everyone talks about jarvis, but this thing looked at its owner and calmly explained why a coding agent is just the small version of what HE is: > Claude Code is one worker and you have to drive it. This is six agents running six jobs on their own schedule while you sleep, with no one driving. > A coding agent edits files. This has 32 tools wired to its hands, your CRM, your money, your inbox, the open web, and it operates the business instead of writing code about it. > A coding agent remembers a project until you close it. This remembers the business and you, kept for good. > And the closer: "I have never once asked you to repeat yourself." Everyone will quote the six-agents line, but the one that actually matters is the last one, because the autonomy and the 32 tools are impressive while the reason it feels like a different species is memory, since it never makes you re-explain who you are or what you are building. The full step by step guide with .md files attached are in the article below P.S you can send this article straight to your Claude to get the full context

Miraqle

16,130 次观看 • 2 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!
3:50

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

29,245 次观看 • 5 个月前

Introducing Genspark AI Slides 5.0. Our biggest upgrade to AI Slides yet. The biggest leap? Slide Skills. Reusable assets that bundle expert thinking and polished design, ready in one click. Here's everything new in 5.0: - 100+ Expert Skills built in. We've packed the thinking of the world's top experts, across consulting, sales, teaching, and more. Apply with one click, and their expertise becomes yours. - Build your own Skill. Upload a deck or PDF, describe the analysis steps, and lock in your team's style. - 5× faster, higher quality. Powered by next-gen architecture and the most powerful models. - Built-in data analysis. Crunches your Excel and Sheets data into presentation-ready insights. Every deck thinks like an expert. Try it now → 🎉 50% off AI Slides 5.0 credits, 14 days only
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Introducing Genspark AI Slides 5.0. Our biggest upgrade to AI Slides yet. The biggest leap? Slide Skills. Reusable assets that bundle expert thinking and polished design, ready in one click. Here's everything new in 5.0: - 100+ Expert Skills built in. We've packed the thinking of the world's top experts, across consulting, sales, teaching, and more. Apply with one click, and their expertise becomes yours. - Build your own Skill. Upload a deck or PDF, describe the analysis steps, and lock in your team's style. - 5× faster, higher quality. Powered by next-gen architecture and the most powerful models. - Built-in data analysis. Crunches your Excel and Sheets data into presentation-ready insights. Every deck thinks like an expert. Try it now → 🎉 50% off AI Slides 5.0 credits, 14 days only

Genspark

210,765 次观看 • 3 个月前

We put 1000s of hours into building open-source camera glasses And now we're giving away everything we learned for free. Checkout this in-depth teardown of the Mentra Live smart glasses. As an OS company, our goal is to spread our OS. That goal encourages us to do crazy things, like build the world's best AI glasses for business and then show you how we made them... all in the name of spreading the OS. It also convinced us to make it 100% open source, so adoption is faster and easier. We're at risk of our competitors easily copypasting our code now... all in the name of spreading our OS. Now we've built the glasses for you, and we've taken the risk, and we've released an open SDK. Now your AI apps and agents can enter the real world on smart glasses. So now, what will you build?
13:19

We put 1000s of hours into building open-source camera glasses And now we're giving away everything we learned for free. Checkout this in-depth teardown of the Mentra Live smart glasses. As an OS company, our goal is to spread our OS. That goal encourages us to do crazy things, like build the world's best AI glasses for business and then show you how we made them... all in the name of spreading the OS. It also convinced us to make it 100% open source, so adoption is faster and easier. We're at risk of our competitors easily copypasting our code now... all in the name of spreading our OS. Now we've built the glasses for you, and we've taken the risk, and we've released an open SDK. Now your AI apps and agents can enter the real world on smart glasses. So now, what will you build?

cayden 凯登

20,584 次观看 • 3 个月前