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Building design tools in Lovable Introducing our new in-house Connectors tool. Built entirely by one person. Arthur Hilhorst from our team has been working on the new Connectors experience inside Lovable. His latest project is an internal tool that manages all connector icons and logos across the product. Sounds...

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Felix Haas

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25,164 views • 3 months ago •via X (Twitter)

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We built our own Brand Agent for Lovable 🔥 Our team can now search, request, or even generate brand assets directly through an AI agent. It’s trained on our brand guidelines, values, and design system so whatever you ask it stays on brand. Why this is powerful: 1/ One source of truth for all brand assets 2/ Consistency across brand, design, and marketing 3/ Brand knowledge embedded directly into an AI agent 4/ Accessible to anyone We love building internal tools!! Go build your own brand agent!
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We built our own Brand Agent for Lovable 🔥 Our team can now search, request, or even generate brand assets directly through an AI agent. It’s trained on our brand guidelines, values, and design system so whatever you ask it stays on brand. Why this is powerful: 1/ One source of truth for all brand assets 2/ Consistency across brand, design, and marketing 3/ Brand knowledge embedded directly into an AI agent 4/ Accessible to anyone We love building internal tools!! Go build your own brand agent!

Felix Haas

123,530 views • 6 months ago

The design team is growing 🔥 We just opened two new roles to work on brand at Lovable. If you love building custom design tools with AI, we should talk. Over the past months, we’ve built a bunch of internal apps for design, brand, and marketing. From generating brand assets to experimenting with motion, logos, and entirely new creative workflows. Now we want to take this much further. We’re looking for: → Brand Designer, AI & Ops → Brand Engineer If you’re excited about exploring what brand design looks like in the age of AI, come build with us! DM's are open!
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The design team is growing 🔥 We just opened two new roles to work on brand at Lovable. If you love building custom design tools with AI, we should talk. Over the past months, we’ve built a bunch of internal apps for design, brand, and marketing. From generating brand assets to experimenting with motion, logos, and entirely new creative workflows. Now we want to take this much further. We’re looking for: → Brand Designer, AI & Ops → Brand Engineer If you’re excited about exploring what brand design looks like in the age of AI, come build with us! DM's are open!

Felix Haas

17,585 views • 1 month ago

The AI memo has been extremely successful inside of Shopify. People all over the company have built remarkable things in response to it. One of my favorite is Scout, built by a small team outside of R&D! Scout has indexed hundreds of millions of merchant feedback items from Social posts, video feedback, and all our customer support channels. Then it makes it available (via MCP) in our internal librechat tool for deep research. I use it all the time. Asked the team to do a demo:
2:02

The AI memo has been extremely successful inside of Shopify. People all over the company have built remarkable things in response to it. One of my favorite is Scout, built by a small team outside of R&D! Scout has indexed hundreds of millions of merchant feedback items from Social posts, video feedback, and all our customer support channels. Then it makes it available (via MCP) in our internal librechat tool for deep research. I use it all the time. Asked the team to do a demo:

tobi lutke

408,506 views • 1 year ago

We use OpenClaws to do all of our work at Every 📧. We have 25 full-time employees, so we’re one of the few companies in the world that has seen how work changes when everyone has their own personal agent in the company Slack. I chatted with Every 📧 COO Brandon (Brandon Gell) and Every 📧 head of platform Willie (Willie) to share what we’ve learned. We get into: - Why agents become mirrors of their owners, and how that influences how other people on the team interact with them - How a parallel AI org chart forms on its own. People have stopped tagging me on Slack with questions about Proof, the document editor I vibe coded, because they knew my agent R2-C2 can step in - The etiquette for human-agent collaboration is being invented in real time. Brandon's rule is that if there's an established process or documented answer, always ask the agent, not their human - Why everyone is a manager now, and why even experienced managers carry limiting beliefs about what their agents can do - This is a must-watch for anyone trying to understand how AI workers change daily operations, not just in theory, but inside a company that’s half-agent Watch below! Timestamps Introduction: How Brandon built Zosia, an AI agent to run his household: Brandon’s “aha” moment: What happened when everyone on the team got their own agent: How agents take on their owners' personalities, and why that matters inside an org: Why it’s important for agents to work in public: What we’re still figuring out when it comes to agent behavior, including memory gaps, group chat etiquette, and the "ant death spiral" problem: How we built Plus One, our hosted OpenClaw product: The cultural shift required to make agents work at scale:
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We use OpenClaws to do all of our work at Every 📧. We have 25 full-time employees, so we’re one of the few companies in the world that has seen how work changes when everyone has their own personal agent in the company Slack. I chatted with Every 📧 COO Brandon (Brandon Gell) and Every 📧 head of platform Willie (Willie) to share what we’ve learned. We get into: - Why agents become mirrors of their owners, and how that influences how other people on the team interact with them - How a parallel AI org chart forms on its own. People have stopped tagging me on Slack with questions about Proof, the document editor I vibe coded, because they knew my agent R2-C2 can step in - The etiquette for human-agent collaboration is being invented in real time. Brandon's rule is that if there's an established process or documented answer, always ask the agent, not their human - Why everyone is a manager now, and why even experienced managers carry limiting beliefs about what their agents can do - This is a must-watch for anyone trying to understand how AI workers change daily operations, not just in theory, but inside a company that’s half-agent Watch below! Timestamps Introduction: How Brandon built Zosia, an AI agent to run his household: Brandon’s “aha” moment: What happened when everyone on the team got their own agent: How agents take on their owners' personalities, and why that matters inside an org: Why it’s important for agents to work in public: What we’re still figuring out when it comes to agent behavior, including memory gaps, group chat etiquette, and the "ant death spiral" problem: How we built Plus One, our hosted OpenClaw product: The cultural shift required to make agents work at scale:

Dan Shipper 📧

67,958 views • 5 months ago

The future of design is… engineering. All designers at Vercel now also build, thanks to tools like v0, Claude Code, and Cursor. They've been contributing to our frontends and apps for a while now. But over the past few months, the leap they've made is engineering the design process itself by building agents. A big part of shipping is getting the word out in a compelling way, especially on the X platform, the everything app. In the past, we used to spend a bunch of time hand-crafting images and illustrations for social cards. Our design team built an internal agent and web ui using v0 and Claude Code that makes this process fully self-serve. It even includes a previewer of what the final artifact will look like on X. It's called Leap. It's probably saved us hundreds of hours of work but also massively raised our quality bar. The artifacts it produces are beautiful. If you had asked me even 12 months ago whether our design team would be building their own design tools, let alone be this good, I would call bs. There was no master plan, or God forbid, a "sprint" to make this happen. It just took a handful of prompts to build and it propagated on Slack. Leap is now one of the many agents that helps us run our company more smoothly, built and securely deployed on Vercel for our internal use.
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The future of design is… engineering. All designers at Vercel now also build, thanks to tools like v0, Claude Code, and Cursor. They've been contributing to our frontends and apps for a while now. But over the past few months, the leap they've made is engineering the design process itself by building agents. A big part of shipping is getting the word out in a compelling way, especially on the X platform, the everything app. In the past, we used to spend a bunch of time hand-crafting images and illustrations for social cards. Our design team built an internal agent and web ui using v0 and Claude Code that makes this process fully self-serve. It even includes a previewer of what the final artifact will look like on X. It's called Leap. It's probably saved us hundreds of hours of work but also massively raised our quality bar. The artifacts it produces are beautiful. If you had asked me even 12 months ago whether our design team would be building their own design tools, let alone be this good, I would call bs. There was no master plan, or God forbid, a "sprint" to make this happen. It just took a handful of prompts to build and it propagated on Slack. Leap is now one of the many agents that helps us run our company more smoothly, built and securely deployed on Vercel for our internal use.

Guillermo Rauch

208,941 views • 6 months ago

Company Brain Tom Blomfield Every company has critical know-how scattered across people's heads, old Slack threads, support tickets, and databases, and AI agents can't operate like that. We think every company in the world is going to need a new primitive: a living map of how the company works that turns its own artifacts into an executable skills file for AI.
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Company Brain Tom Blomfield Every company has critical know-how scattered across people's heads, old Slack threads, support tickets, and databases, and AI agents can't operate like that. We think every company in the world is going to need a new primitive: a living map of how the company works that turns its own artifacts into an executable skills file for AI.

Y Combinator

1,196,695 views • 4 months ago

I just replaced $200/month in SaaS with one internal tool. New lead hits Gmail. It auto-tags, updates our pipeline in Sheets, drafts the proposal with AI, and fires an SMS follow-up via Twilio. Built the whole thing in one afternoon in Lovable. People still think Lovable is just for pretty UI. It's not. You can wire up Gmail, Sheets, Twilio, anything. Build tools that actually replace your stack. I use connectors almost daily now. On client work, agency automation, side projects. I finally wrote down the entire system. Every shortcut, every mistake I made, the stuff I wish I knew on day one.
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I just replaced $200/month in SaaS with one internal tool. New lead hits Gmail. It auto-tags, updates our pipeline in Sheets, drafts the proposal with AI, and fires an SMS follow-up via Twilio. Built the whole thing in one afternoon in Lovable. People still think Lovable is just for pretty UI. It's not. You can wire up Gmail, Sheets, Twilio, anything. Build tools that actually replace your stack. I use connectors almost daily now. On client work, agency automation, side projects. I finally wrote down the entire system. Every shortcut, every mistake I made, the stuff I wish I knew on day one.

Prajwal Tomar

11,815 views • 2 months ago

Introducing the Lovable x Shopify integration 🔥 Here's how I built a skincare store in under 10 minutes: 1/ Told Lovable to create a Shopify store for skincare. → It built the full store with layout, checkout, and cart ready to go. 2/ Added the products I wanted to sell. → Lovable uploaded them, generated product descriptions, and styled everything automatically. 3/ Said I was ready to launch. → Lovable connected it to Shopify. I claimed the store and hit Publish. Done. A working Shopify store, built entirely with prompts. The new Shopify integration is now live for everyone. Try it in Lovable and get 30 days of Shopify free when you sign up through Lovable. LFG
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Introducing the Lovable x Shopify integration 🔥 Here's how I built a skincare store in under 10 minutes: 1/ Told Lovable to create a Shopify store for skincare. → It built the full store with layout, checkout, and cart ready to go. 2/ Added the products I wanted to sell. → Lovable uploaded them, generated product descriptions, and styled everything automatically. 3/ Said I was ready to launch. → Lovable connected it to Shopify. I claimed the store and hit Publish. Done. A working Shopify store, built entirely with prompts. The new Shopify integration is now live for everyone. Try it in Lovable and get 30 days of Shopify free when you sign up through Lovable. LFG

Felix Haas

107,738 views • 10 months ago

Perplexity CEO Aravind Srinivas on the brutal truth about who actually makes money in AI (and why it's not who you think): Aravind argues that the real value in AI comes from orchestration. He points to products like Codex, Claude Code, and Perplexity Computer: "What is that? It's an orchestration system. It takes a model, pairs it with an agent harness." And what is an agent harness? "The simplest way of describing it is like rules for how the agent loop should run. What are all the skills and sub-agents and connectors and tools it accesses? Without the harness, you don't necessarily capture and convert the intrinsic intelligence in the model into valuable output tokens." This leads to a blunt conclusion about who has a real business in AI, and who doesn't: "If you're literally just a reseller of model tokens, you have no business, because the model will get commoditized. So even if you're a model builder, you don't have a business. As an infra layer, you have some business on serving those output tokens. But as an application layer or model builder, you don't really have a business if you're just a reseller of tokens that come directly out of the model." So where does the value accrue? "You have a business if you know how to take the model, ground it in valuable context, orchestrate it with a really good agent harness, connected to the right set of tools and connectors (whether it's personal connectors or business connectors) and provide the experience to people in one single unified system." Aravind Srinivas then explains Perplexity's specific edge: Beyond orchestrating across tools, files, and connectors, they also orchestrate across models. "That is the differentiation that Anthropic and OpenAI cannot claim, because you wouldn't find GPT-5 inside the Claude Code harness. You wouldn't find Claude Opus inside the Codex harness. These are competing with each other. Whereas you would find both these models inside Perplexity Computer." Why does this matter? Because it all comes down to power. In Aravind's framing, the fundamental cost driver in AI is watts (the one input nobody can subsidize except the government). "Whoever provides the most valuable output tokens with the least amount of power expended to produce them generates the greatest value to the end user, has the most pricing power, has the most value. That is the orchestration problem to solve." His conclusion: "The one single most important metric in AI is token value per watt per user."
2:50

Perplexity CEO Aravind Srinivas on the brutal truth about who actually makes money in AI (and why it's not who you think): Aravind argues that the real value in AI comes from orchestration. He points to products like Codex, Claude Code, and Perplexity Computer: "What is that? It's an orchestration system. It takes a model, pairs it with an agent harness." And what is an agent harness? "The simplest way of describing it is like rules for how the agent loop should run. What are all the skills and sub-agents and connectors and tools it accesses? Without the harness, you don't necessarily capture and convert the intrinsic intelligence in the model into valuable output tokens." This leads to a blunt conclusion about who has a real business in AI, and who doesn't: "If you're literally just a reseller of model tokens, you have no business, because the model will get commoditized. So even if you're a model builder, you don't have a business. As an infra layer, you have some business on serving those output tokens. But as an application layer or model builder, you don't really have a business if you're just a reseller of tokens that come directly out of the model." So where does the value accrue? "You have a business if you know how to take the model, ground it in valuable context, orchestrate it with a really good agent harness, connected to the right set of tools and connectors (whether it's personal connectors or business connectors) and provide the experience to people in one single unified system." Aravind Srinivas then explains Perplexity's specific edge: Beyond orchestrating across tools, files, and connectors, they also orchestrate across models. "That is the differentiation that Anthropic and OpenAI cannot claim, because you wouldn't find GPT-5 inside the Claude Code harness. You wouldn't find Claude Opus inside the Codex harness. These are competing with each other. Whereas you would find both these models inside Perplexity Computer." Why does this matter? Because it all comes down to power. In Aravind's framing, the fundamental cost driver in AI is watts (the one input nobody can subsidize except the government). "Whoever provides the most valuable output tokens with the least amount of power expended to produce them generates the greatest value to the end user, has the most pricing power, has the most value. That is the orchestration problem to solve." His conclusion: "The one single most important metric in AI is token value per watt per user."

Big Brain AI

42,319 views • 1 month ago

Today we’re launching Decawork (YC S26) backed by Y Combinator : one place for IT to deploy, govern, and maintain the internal AI agents running across a company. Every team is building AI tools/agents now. They go live with real access, no standard way to ship, nobody watching. With Decawork, every agent - built in Claude Code, Codex, or anywhere else - ships with its own identity and scoped credentials. IT signs off before it's live, sensitive actions wait for approval, and every run is watched from first to last. I built AI at NVIDIA, deployed at OpenAI and Meta. Aman (aman) built Barclays' AI compliance platform used by internal teams, then shipped agents to 100K+ monthly users. We lived this and quit to solve it. Internal AI agents/tools piling up at your company? Chat with us founders[at]decawork[dot]ai or
1:15

Today we’re launching Decawork (YC S26) backed by Y Combinator : one place for IT to deploy, govern, and maintain the internal AI agents running across a company. Every team is building AI tools/agents now. They go live with real access, no standard way to ship, nobody watching. With Decawork, every agent - built in Claude Code, Codex, or anywhere else - ships with its own identity and scoped credentials. IT signs off before it's live, sensitive actions wait for approval, and every run is watched from first to last. I built AI at NVIDIA, deployed at OpenAI and Meta. Aman (aman) built Barclays' AI compliance platform used by internal teams, then shipped agents to 100K+ monthly users. We lived this and quit to solve it. Internal AI agents/tools piling up at your company? Chat with us founders[at]decawork[dot]ai or

sarthak 🌉

97,599 views • 1 month ago

A 2-person startup crossed $2M ARR with an AI agent doing the work of an ops hire. The agent was given read-only access to their codebase and database along with connected tools like Intercom, Stripe, CRM, and Fathom through CLIs. They routed Slack, email, and support requests into a task queue so the agent could pick up each task and run it in Claude Code. So when a customer asked about billing or product behavior, it could inspect how the business actually worked. Along with these tools, a coding agent was also provided. When the ops agent found a repeated task it could not do yet, the coding agent built a tool for it. That tool became permanent. Over time, this grew to 45+ internal tools. The agent also had an instruction.md where it stored the co-founder's feedback to avoid repeating its mistakes.
4:20

A 2-person startup crossed $2M ARR with an AI agent doing the work of an ops hire. The agent was given read-only access to their codebase and database along with connected tools like Intercom, Stripe, CRM, and Fathom through CLIs. They routed Slack, email, and support requests into a task queue so the agent could pick up each task and run it in Claude Code. So when a customer asked about billing or product behavior, it could inspect how the business actually worked. Along with these tools, a coding agent was also provided. When the ops agent found a repeated task it could not do yet, the coding agent built a tool for it. That tool became permanent. Over time, this grew to 45+ internal tools. The agent also had an instruction.md where it stored the co-founder's feedback to avoid repeating its mistakes.

rvivek

11,870 views • 3 months ago

SOMEONE BUILT AN ENTIRE COMPANY BRAIN INSIDE CLAUDE CODE IN 7 DAYS Not Obsidian. Fully custom. A living map of every employee, every agent, every SOP on one screen. Click any node and it opens up: - what department it's in - what SOPs are attached - what it can actually access that permission layer is the whole game an employee opens the chat and the AI already knows their access level, agents, SOPs and tools surface in the conversation like you tagged them by hand Obsidian cannot do this... no dev team. no six month build. no enterprise budget. just Claude Code and one week has everything to build one full guide on building your own team below
1:20

SOMEONE BUILT AN ENTIRE COMPANY BRAIN INSIDE CLAUDE CODE IN 7 DAYS Not Obsidian. Fully custom. A living map of every employee, every agent, every SOP on one screen. Click any node and it opens up: - what department it's in - what SOPs are attached - what it can actually access that permission layer is the whole game an employee opens the chat and the AI already knows their access level, agents, SOPs and tools surface in the conversation like you tagged them by hand Obsidian cannot do this... no dev team. no six month build. no enterprise budget. just Claude Code and one week has everything to build one full guide on building your own team below

Madni Aghadi

397,670 views • 2 months ago

Of course, The Jakarta Globe asked me how I see AI tools influencing newsrooms — both in terms of opportunities and risks. AI is both enormously helpful and unpredictably dangerous. On the one hand, it significantly accelerates many newsroom processes, from interview transcription and video editing to translation and event planning. On the other hand, it has never been easier to fall victim to fake images and manipulated footage, particularly in a 24-hour news environment. Today, these tools are accessible to almost everyone, giving them the ability to influence narratives far beyond their place of origin. We have been working with artificial intelligence technologies for several years. Initially, we used Western models, but we are actively developing our own. Our team enjoys experimenting with these tools. For example, we created a project in which President Putin delivers his famous speeches, including the Munich speech, in English using his own AI-generated voice. The result is remarkably difficult to distinguish from the original.
3:09

Of course, The Jakarta Globe asked me how I see AI tools influencing newsrooms — both in terms of opportunities and risks. AI is both enormously helpful and unpredictably dangerous. On the one hand, it significantly accelerates many newsroom processes, from interview transcription and video editing to translation and event planning. On the other hand, it has never been easier to fall victim to fake images and manipulated footage, particularly in a 24-hour news environment. Today, these tools are accessible to almost everyone, giving them the ability to influence narratives far beyond their place of origin. We have been working with artificial intelligence technologies for several years. Initially, we used Western models, but we are actively developing our own. Our team enjoys experimenting with these tools. For example, we created a project in which President Putin delivers his famous speeches, including the Munich speech, in English using his own AI-generated voice. The result is remarkably difficult to distinguish from the original.

Margarita Simonyan

21,786 views • 1 month ago

The fastest growing company of all time is being built in Europe. Don't fall for the propaganda that you can't build amazing companies here. Victor Riparbelli is doing it with Synthesia 🎥 Nicolas Sharp is doing it with Attio Alan Chang is doing it with Fuse Energy Max Junestrand is doing it with Legora And of course Anton Osika – eu/acc and Fabian Hedin are doing it with Lovable. Last week the company celebrated it's 1 year anniversary and announced hitting $200m ARR. I made this video to celebrate the occasion. Lovable is truly one of the most incredible businesses of all time, and in Europe we should do do a better job of celebrating our successes. Congrats to the lovable team - you're flying the flag for European Tech and we LOVE to see it. Shoutout to Harry Stebbings for letting me use his voice and video clips to put this together.
0:48

The fastest growing company of all time is being built in Europe. Don't fall for the propaganda that you can't build amazing companies here. Victor Riparbelli is doing it with Synthesia 🎥 Nicolas Sharp is doing it with Attio Alan Chang is doing it with Fuse Energy Max Junestrand is doing it with Legora And of course Anton Osika – eu/acc and Fabian Hedin are doing it with Lovable. Last week the company celebrated it's 1 year anniversary and announced hitting $200m ARR. I made this video to celebrate the occasion. Lovable is truly one of the most incredible businesses of all time, and in Europe we should do do a better job of celebrating our successes. Congrats to the lovable team - you're flying the flag for European Tech and we LOVE to see it. Shoutout to Harry Stebbings for letting me use his voice and video clips to put this together.

Seb Johnson

35,469 views • 9 months ago

🎨 Introducing Genspark Design The next-gen AI for design and creation, powered by Claude Opus 4.7. From rough idea to professional design, no design background needed. - One tool for everything you design. UI prototypes, videos, HTML animations, posters — all in one place and production-ready. - Stay on-brand with your own design system. Upload your Figma files or save your designs, reuse them across every project, and share them with your team. - Ship it, don't just mock it. Turn any app or website design into working code with one click, built on Genspark Code. Start building at our launch price 👉
1:23

🎨 Introducing Genspark Design The next-gen AI for design and creation, powered by Claude Opus 4.7. From rough idea to professional design, no design background needed. - One tool for everything you design. UI prototypes, videos, HTML animations, posters — all in one place and production-ready. - Stay on-brand with your own design system. Upload your Figma files or save your designs, reuse them across every project, and share them with your team. - Ship it, don't just mock it. Turn any app or website design into working code with one click, built on Genspark Code. Start building at our launch price 👉

Genspark

179,614 views • 2 months ago

This is the setup that changed everything for me, Claude can now browse the internet on its own. Not with your browser. Its own dedicated browser.. It can now login with your credentials, scrape data, monitors communities and generates leads.. all in the background while you sleep First how you can set it up, > Open Claude Desktop > Click the plus (+) icon in the chat bar and select Connectors (or "Manage Connectors") > Click Add Custom Connector and enter the following details - Name: Firecrawl - URL: dev/{FIRECRAWL_API_KEY}/v2/mcp - API Key: Paste your API key from the Firecrawl dashboard. > Click Add. then just enable and Authorize, > Once added, find "Firecrawl" in your connectors list and toggle it on. > Claude will ask for approval to use the connector; select Always Allow to let it run tasks without prompting you every time can start using it normally in chat now.. Prompt it like: "Go to [website], extract [data], and organize it" It opens its own browser, navigates, scrapes, and brings you clean results. will share how i use this setup in my next post, so be sure to follow me and turn post notifications on.
0:26

This is the setup that changed everything for me, Claude can now browse the internet on its own. Not with your browser. Its own dedicated browser.. It can now login with your credentials, scrape data, monitors communities and generates leads.. all in the background while you sleep First how you can set it up, > Open Claude Desktop > Click the plus (+) icon in the chat bar and select Connectors (or "Manage Connectors") > Click Add Custom Connector and enter the following details - Name: Firecrawl - URL: dev/{FIRECRAWL_API_KEY}/v2/mcp - API Key: Paste your API key from the Firecrawl dashboard. > Click Add. then just enable and Authorize, > Once added, find "Firecrawl" in your connectors list and toggle it on. > Claude will ask for approval to use the connector; select Always Allow to let it run tasks without prompting you every time can start using it normally in chat now.. Prompt it like: "Go to [website], extract [data], and organize it" It opens its own browser, navigates, scrapes, and brings you clean results. will share how i use this setup in my next post, so be sure to follow me and turn post notifications on.

Axel Bitblaze 🪓

180,036 views • 5 months ago

At Omnipresent, We incubate. We build. Introducing our first product a marketing tool that enables an entirely different way of operating. Our CTO taro developed an in-house stack using OpenClaw🦞, Kimi.ai, and Claude built to move faster, hit harder, and scale beyond what off-the-shelf tools allow. What it unlocks: – Sharper, faster marketing execution – Distribution that scales beyond the obvious channels – High-leverage creative angles that compound - Marketing analytics and data you can trust And this is just an experiment. We are working on AI dashboard with new layers of insights , network scale effects , and a UI/UX bar that keeps moving up. This is what building from the inside out looks like.
0:29

At Omnipresent, We incubate. We build. Introducing our first product a marketing tool that enables an entirely different way of operating. Our CTO taro developed an in-house stack using OpenClaw🦞, Kimi.ai, and Claude built to move faster, hit harder, and scale beyond what off-the-shelf tools allow. What it unlocks: – Sharper, faster marketing execution – Distribution that scales beyond the obvious channels – High-leverage creative angles that compound - Marketing analytics and data you can trust And this is just an experiment. We are working on AI dashboard with new layers of insights , network scale effects , and a UI/UX bar that keeps moving up. This is what building from the inside out looks like.

Omnipresent

15,029 views • 5 months ago

Nat Eliason’s (Nat Eliason) career arc is borderline absurd—but it works. He’ll spot a new tool or trend, master it, build a business around it, and move on. Nat’s pulled it off with the note-taking wave ($600k in sales from a Roam Research course), real estate (6x return flipping property in Austin), and crypto (published his insider story with Random House). Now it’s AI: he’s running a viral course on building apps with AI—$200k in pre-sales in just a week, 800 students and counting. I’ve known Nat for a long time and I think he has a great sense for where the puck is headed. He was one of the first guests I had on the podcast and I was delighted to have him on again. Here are a few takeaways from our conversation: - Coding with AI has become orders of magnitude easier for non-technical people over the last 2 years—Nat rarely has to help students fix bugs; they troubleshoot in Cursor on their own. - AI coding assistants are creating new behaviours in programming, like using a speech-to-text model to talk to an agent and having it write code for you. - The traditional learning curve of coding is flattening because AI tools let beginners build and iterate in faster feedback loops. - AI has given Nat leverage in spades—it increases his ability to be a creator while also building a robust business with as few people to manage as possible. He demos an AI book editor he coded for his sci-fi novel. - In the age of AI, software is becoming content and the barriers to create are lower than ever—but custom software for everything isn’t the answer. Nat’s model is that personalized tools make sense for that one thing you care the most about. - Nat believes that the future of writing with AI is a Cursor-style interface with a model that’s trained on your style and voice. This episode is a must-watch for writers, creators, and anyone interested in the future of product building. Watch below! Timestamps: Introduction: 00:01:45 The origins of Nat’s viral course on building apps with AI: 00:11:45 How coding with AI has evolved over the last two years: 00:18:46 Nat creates an app using Composer, Cursor’s AI assistant: 00:22:22 Tactical tips for coding with Cursor: 00:26:06 How coding with AI is creating new behaviours in programming: 00:29:06 What excites Nat the most about the future of AI: 00:32:41 A demo of Hubbard, the AI editor Nat built for his science fiction writing: 00:38:58 When does it makes sense to build custom software: 00:44:52 Nat’s take on the future of writing with AI: 00:49:18
1:00:52

Nat Eliason’s (Nat Eliason) career arc is borderline absurd—but it works. He’ll spot a new tool or trend, master it, build a business around it, and move on. Nat’s pulled it off with the note-taking wave ($600k in sales from a Roam Research course), real estate (6x return flipping property in Austin), and crypto (published his insider story with Random House). Now it’s AI: he’s running a viral course on building apps with AI—$200k in pre-sales in just a week, 800 students and counting. I’ve known Nat for a long time and I think he has a great sense for where the puck is headed. He was one of the first guests I had on the podcast and I was delighted to have him on again. Here are a few takeaways from our conversation: - Coding with AI has become orders of magnitude easier for non-technical people over the last 2 years—Nat rarely has to help students fix bugs; they troubleshoot in Cursor on their own. - AI coding assistants are creating new behaviours in programming, like using a speech-to-text model to talk to an agent and having it write code for you. - The traditional learning curve of coding is flattening because AI tools let beginners build and iterate in faster feedback loops. - AI has given Nat leverage in spades—it increases his ability to be a creator while also building a robust business with as few people to manage as possible. He demos an AI book editor he coded for his sci-fi novel. - In the age of AI, software is becoming content and the barriers to create are lower than ever—but custom software for everything isn’t the answer. Nat’s model is that personalized tools make sense for that one thing you care the most about. - Nat believes that the future of writing with AI is a Cursor-style interface with a model that’s trained on your style and voice. This episode is a must-watch for writers, creators, and anyone interested in the future of product building. Watch below! Timestamps: Introduction: 00:01:45 The origins of Nat’s viral course on building apps with AI: 00:11:45 How coding with AI has evolved over the last two years: 00:18:46 Nat creates an app using Composer, Cursor’s AI assistant: 00:22:22 Tactical tips for coding with Cursor: 00:26:06 How coding with AI is creating new behaviours in programming: 00:29:06 What excites Nat the most about the future of AI: 00:32:41 A demo of Hubbard, the AI editor Nat built for his science fiction writing: 00:38:58 When does it makes sense to build custom software: 00:44:52 Nat’s take on the future of writing with AI: 00:49:18

Dan Shipper 📧

27,207 views • 1 year ago

Today I am introducing Eragon , your AI Operating System for work. Our goal is simple: Build the AI that can help you run your company from idea to IPO. In order to truly fix work, we need to solve the root problem. We all use tons of business apps from ERP to CRM to Product Analytics but we still have to endlessly switch, search, and export just to answer a single question. The bottleneck is not having more tools, it's the lack of a unified layer that connects and understands them all. That's why we built Eragon -Through MCP we connect to every business app. -Through custom agents, each tool gets its own intelligence. -And inside one workspace all you have to do is ask Eragon for any business insight: - "Walk me through our sales forecast and what deals are at risk." - "Which users hit paywall but didn't convert?" - "Where's the bottleneck in our factories this week?" Already, teams are cutting days of manual work into minutes. We're working with the fastest growing startups and some of the worlds largest enterprises. And we would love to work with you! Book a demo with us today and usher in the new era of vibe working.
0:42

Today I am introducing Eragon , your AI Operating System for work. Our goal is simple: Build the AI that can help you run your company from idea to IPO. In order to truly fix work, we need to solve the root problem. We all use tons of business apps from ERP to CRM to Product Analytics but we still have to endlessly switch, search, and export just to answer a single question. The bottleneck is not having more tools, it's the lack of a unified layer that connects and understands them all. That's why we built Eragon -Through MCP we connect to every business app. -Through custom agents, each tool gets its own intelligence. -And inside one workspace all you have to do is ask Eragon for any business insight: - "Walk me through our sales forecast and what deals are at risk." - "Which users hit paywall but didn't convert?" - "Where's the bottleneck in our factories this week?" Already, teams are cutting days of manual work into minutes. We're working with the fastest growing startups and some of the worlds largest enterprises. And we would love to work with you! Book a demo with us today and usher in the new era of vibe working.

Josh Sirota

99,959 views • 1 year ago

The Lamba Ness Launch Site is now open for virtual exploration! Step inside SaxaVord Spaceport from your mobile or desktop and discover everything happening across our site! Working with Dark Star Labs, we’ve built an accessible 'Digital Twin' of SaxaVord. From our geography to our launch infrastructure and rich heritage, you can now explore the UK’s gateway to space from any browser, anywhere in the world. This is a living project. As our site evolves, so will the experience. We’re incredibly excited to finally share more of what’s been developing on site. Explore now -
0:23

The Lamba Ness Launch Site is now open for virtual exploration! Step inside SaxaVord Spaceport from your mobile or desktop and discover everything happening across our site! Working with Dark Star Labs, we’ve built an accessible 'Digital Twin' of SaxaVord. From our geography to our launch infrastructure and rich heritage, you can now explore the UK’s gateway to space from any browser, anywhere in the world. This is a living project. As our site evolves, so will the experience. We’re incredibly excited to finally share more of what’s been developing on site. Explore now -

SaxaVord Spaceport UK

17,778 views • 5 months ago