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Today we’re launching a new Ergo feature we built in Y Combinator for every B2B team that sells in Slack. Your CRM is only as good as the data inside it. The problem? Most of that data never makes it there. It lives in Slack. Deals move forward in... conversations: – Next steps – Pricing signals – Buying intent But when those happen in Slack Connect, your CRM stays blind. That means: – Pipeline bleed – Stale stages – Missing contacts We fixed that. Add Ergo to your Slack Connect channel → your CRM updates itself: – Deal amounts, close dates, custom fields – New + enriched contacts – Always-fresh pipeline No more manual logging. No more pipeline bleed. Companies like Delve, Rho, Whop are already using Ergo to kill sales admin. 👉 Want early access + the YC playbook on how startups sell in Slack? 1. Like this post 2. Comment Slack (Priority goes to those who Repost 🔄)show more

Yash Dulla

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12,981 views • 10 months ago •via X (Twitter)

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Ergo, apart of the Y Combinator W25 batch is building the AI layer Salesforce forgot to ship. Every revenue team claims to have a “single source of truth. None of them actually trust it. That’s the problem Ergo fixes. The #1 Revenue Automation Infrastructure powering fast-growing teams like Rho, Delve, and Whop. Ergo sits on top of messy CRMs like Salesforce and HubSpot — turning them into reliable revenue engines. It taps into every call, email, and Slack message to: ✅ Auto-update CRM data ✅ Surface and follow up on deals before they go cold 🥶 ✅ Deliver the reports and trends your sales, CS, and product teams have been missing Teams using Ergo save 10+ hrs/rep/week and prevent millions in pipeline bleed. 🎥 Watch the launch video below, it’s what every RevOps leader wishes their CRM could do. 👉

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SARAH

178,266 views • 5 months ago

📱 iPhone 17 Giveaway 📱 To celebrate our mobile app launching, we’re giving away an iPhone 17. backstory about the way we designed this Mobile app. For the last years, we’ve heard again and again that our users wanted folk to go Mobile. But it didn’t felt right to simply replicate the product and all its features on Mobile. Desktop and Mobile are completely different contexts. Our desktop version is built for productivity. We designed the interface to be simple and lightweight so not to overwhelm you, but with condensed information so you can have a high level view of what’s going on in your CRM. We’ve built it for bulk actions so can get through your tasks in reduced time. It’s the perfect companion for deep, focused work. Mobile is different. You check your mobile when you’re on the go. Heading into the office, between client meetings, traveling for work, or simply off and far from your screens. And salespeople are often far from their desktop. Sales is about connecting, go meet your prospects on the fields, engage with them, shake hands. These moments are precious, that’s where trust is built. To shine during these moments, it’s about the little things. Remembering your prospect’ daughter’ name. Making sure action points discussed in the meeting are well passed to the team. Ensuring you actually reach out to the lead you met at that conference, as you promised. We wanted to design the perfect companion for that. Contacts by folk is built as a contacts app that shows all your contacts from folk CRM. But designed to give you context and let you capture more context. - Sync contacts from multiple places - your emails, LinkedIn, calendar, WhatsApp, or any contact you add in the CRM - Add new contacts easily, including with business card scanning - Search contacts smartly - you can search by name, but also company, job title or even through your notes - Add notes on the go, mention your teammates, and even record notes with voice-to-text - View past notes and past interactions before a meeting across all your channels Think the native Contacts app, reinvented for today. Want to win? Comment “CONTACTS” below 👇👇👇 We’ll randomly pick 1 winner ◾ 1x iPhone 17 ◾ 1 year of folk CRM ⚠️ Get a second entry if you repost!

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Simo Lemhandez

50,862 views • 11 days ago

Today, we’re introducing WorkClaw: the AI team for your team. Most AI agents work in silos. One person, one assistant. But that’s not how teams collaborate in a real company, so we built something new. Meet your WorkClaws, collaborative, proactive, customizable AI coworkers that work in Slack or Teams just like every other colleague. Hire a new Claw in a few clicks and give them a job title, manager, computer, and apps. Easily access their ClawOS computer in the cloud, and pick from more than 3,000 integrations to install. Then, train them to get work done your way by adding skills and routines. It’s OpenClaw for actual work, with the additional layers of security and admin controls companies expect. 🚀 We’ve just opened up Early Access to a limited number of teams who get started on our website. 🎁 Want $500 in free credits? Just comment with what job title you’d give your first claw, and we’ll hook you up!

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Will Ruben

541,802 views • 1 month ago

Introducing Open Source AI CRM, that runs on your OpenClaw. A few weeks ago, we launched Ironclaw (An Open Source OpenClaw CRM Framework) which now has around 1.4k stars. A lot of people confused us with NearAI’s Ironclaw, so we changed our name to DenchClaw. OpenClaw today feels a lot like early React: the primitive is incredibly powerful, but the patterns are still forming, and everyone is piecing together their own way to actually use it. What made React explode wasn’t just React itself, but the emergence of frameworks like Gatsby and Next.js that turned raw capability into something opinionated, repeatable, and easy to adopt. That is how I think about DenchClaw. We are not just building on top of OpenClaw; we are trying to make it one of the clearest, most practical, and most complete ways to use OpenClaw in the real world. We are an OpenClaw Framework, we are aiming to be the most correct way to use OpenClaw. We entered Y Combinator with Merse (AI Audio Comic), it was an app that I personally never used. Michael Seibel confronted us on it, and said, “if you aren’t the best user of your consumer app, then who is?”. I now use DenchClaw daily for everything I do, it also works as a coding agent like Cursor, DenchClaw built DenchClaw. I am addicted to DenchClaw now that I can ask it, “hey in the companies table only show me the ones who have more than 5 employees” and it updates it live than me having to manually add a filter. On Dench, everything sits in a file system, the table filters, views, column toggles, calendar/gantt views, etc, so OpenClaw can directly work with it using Dench’s CRM skill. The CRM is built on top of DuckDB, the smallest, most performant and at the same time also feature rich database we could find. It creates a new OpenClaw🦞 profile called “dench”, and opens a new OpenClaw Gateway… that means you can run all your usual openclaw commands by just prefixing every command with `openclaw --profile dench` . It will start your gateway on port 19001 range. You will be able to access the DenchClaw frontend at localhost:3100. Once you open it on Safari, just add it to your Dock to use it as a PWA. Think of it as Cursor for your Mac which is based on OpenClaw. DenchClaw has a file tree view for you to use it as an elevated finder tool to do anything on your mac. I use it to create slides, do LinkedIn outreach using MY browser. DenchClaw sees what you see, does what you do. It’s the everything app, that sits locally on your mac. All yours. Just ask it “hey import my notion”, “hey import everything from my hubspot”, and it will literally go into your browser, export all objects and documents and put it in its own workspace that you can use. P.S. It comes with Garry Tan's GStack built in.

Mark Rachapoom

19,411 views • 3 months ago

Octolane started by watching my mom. Single mom. Four sons. Seven days a week. No CRM. But she remembered every customer and every promise. I was Mintlify's first intern working in SF. One day I looked at the Salesforce tower and thought: my mom didn't need a CRM. What if no one did? Dropped out of Duke. Started Octolane with my best friend Rafi and a team of 5, engineers twice our age who left real jobs to bet on us. Working from coffee shop to coffee shop, 7 days a week, spending as little as possible. Today, after onboarding 1,000+ companies manually, Octolane · Revenue Superintelligence - The Self-driving AI CRM is generally available. You talk to Octolane like a co-founder. It figures things out and does the work end to end. Because the best CRM is no CRM. → 10,000+ action types - the largest action library in any CRM → 200+ integrations + MCP server (works inside Claude, Cursor, ChatGPT) → Multi-agent system: agents talk to each other to run your pipeline → Self-improving sales playbook that compounds with every deal Give it a shot today. Break the product. Let us know. My number: 628-285-1600. Text me for a launch-day coupon. First 20 calls, I'll onboard you myself. 🌉 Built in San Francisco | Thanks to Y Combinator

Octolane started by watching my mom. Single mom. Four sons. Seven days a week. No CRM. But she remembered every customer and every promise. I was Mintlify's first intern working in SF. One day I looked at the Salesforce tower and thought: my mom didn't need a CRM. What if no one did? Dropped out of Duke. Started Octolane with my best friend Rafi and a team of 5, engineers twice our age who left real jobs to bet on us. Working from coffee shop to coffee shop, 7 days a week, spending as little as possible. Today, after onboarding 1,000+ companies manually, Octolane · Revenue Superintelligence - The Self-driving AI CRM is generally available. You talk to Octolane like a co-founder. It figures things out and does the work end to end. Because the best CRM is no CRM. → 10,000+ action types - the largest action library in any CRM → 200+ integrations + MCP server (works inside Claude, Cursor, ChatGPT) → Multi-agent system: agents talk to each other to run your pipeline → Self-improving sales playbook that compounds with every deal Give it a shot today. Break the product. Let us know. My number: 628-285-1600. Text me for a launch-day coupon. First 20 calls, I'll onboard you myself. 🌉 Built in San Francisco | Thanks to Y Combinator

Coffee with One 🇺🇸

84,815 views • 2 months ago

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 views • 10 months ago

ANTHROPIC OPEN-SOURCED A FREE REPO THAT TURNS CLAUDE INTO A SALES REP, A MARKETER AND A FINANCE LEAD. PEOPLE ARE ALREADY SELLING THIS AS A SERVICE You're not prompting from scratch. You're hiring a department How to set it up: 1. Open Cowork. In the Claude desktop app, open Cowork and go to Customize. You'll see a Browse Plugins button. That's the marketplace 2. Pick your first role. Inside you'll find sales, marketing, finance, legal, data, customer support, product management and more. Each plugin has the skills for that role already baked in, plus the connectors it would use. Install the one you need most 3. Put it to work standalone. It works day one with no setup. Trigger a workflow with a slash command like /sales:call-prep or /data:write-query, paste your notes, and it already knows what good output looks like 4. Connect its tools to supercharge it. Authorize the tools that role uses, your CRM, your analytics, your data warehouse. Standalone is the intern. Connected is the senior hire 5. Build the rest of the team. Install more roles and they work together in one session. Data pulls the numbers, finance reconciles them, marketing turns it into a report. One operator, a full cross-functional team, no payroll This is the same base layer Claude for Legal and Claude for Financial Services are built on. You're getting it for free Full breakdown in my article below. Bookmark this

ANTHROPIC OPEN-SOURCED A FREE REPO THAT TURNS CLAUDE INTO A SALES REP, A MARKETER AND A FINANCE LEAD. PEOPLE ARE ALREADY SELLING THIS AS A SERVICE You're not prompting from scratch. You're hiring a department How to set it up: 1. Open Cowork. In the Claude desktop app, open Cowork and go to Customize. You'll see a Browse Plugins button. That's the marketplace 2. Pick your first role. Inside you'll find sales, marketing, finance, legal, data, customer support, product management and more. Each plugin has the skills for that role already baked in, plus the connectors it would use. Install the one you need most 3. Put it to work standalone. It works day one with no setup. Trigger a workflow with a slash command like /sales:call-prep or /data:write-query, paste your notes, and it already knows what good output looks like 4. Connect its tools to supercharge it. Authorize the tools that role uses, your CRM, your analytics, your data warehouse. Standalone is the intern. Connected is the senior hire 5. Build the rest of the team. Install more roles and they work together in one session. Data pulls the numbers, finance reconciles them, marketing turns it into a report. One operator, a full cross-functional team, no payroll This is the same base layer Claude for Legal and Claude for Financial Services are built on. You're getting it for free Full breakdown in my article below. Bookmark this

Yarchi

31,798 views • 1 month ago

Today we are launching Autopilot 4.0, a new generation of Autopilot that acts as a sleep agent. Autopilot 4.0 uses data from your day and night to predict how you’re likely to sleep, automatically adjust your sleep environment through the Pod, and explain what happened by morning in plain language. This is the next step in what makes Eight Sleep different. We do not just surface data or generate sleep insights. We use that data to actively respond through the sleep environment itself. Members can connect Apple Health or Health Connect, or tag events directly in the app, giving the sleep agent more context from workouts, activity, stress, alcohol, meals, and other daily inputs. That context helps it predict what may happen during the night and make the right adjustments before and throughout sleep. Autopilot 4.0 is built on more than one billion hours of sleep data and is now available in the Eight Sleep app.

Today we are launching Autopilot 4.0, a new generation of Autopilot that acts as a sleep agent. Autopilot 4.0 uses data from your day and night to predict how you’re likely to sleep, automatically adjust your sleep environment through the Pod, and explain what happened by morning in plain language. This is the next step in what makes Eight Sleep different. We do not just surface data or generate sleep insights. We use that data to actively respond through the sleep environment itself. Members can connect Apple Health or Health Connect, or tag events directly in the app, giving the sleep agent more context from workouts, activity, stress, alcohol, meals, and other daily inputs. That context helps it predict what may happen during the night and make the right adjustments before and throughout sleep. Autopilot 4.0 is built on more than one billion hours of sleep data and is now available in the Eight Sleep app.

Eight Sleep

218,158 views • 3 months ago

I built a Reddit marketing agent that gets your business mentioned by ChatGPT, Gemini and Claude. Not a spam bot. Not the kind that gets banned by mods. An agent that drafts genuinely valuable answers grounded in your company's actual content and slips in a brand mention only when it actually helps. Google is paying Reddit $60M a year just for their data!!! If your business isn't showing up in that data, your competitors are, and ChatGPT is recommending them instead of you. Here's how the system works: → A Claude routine pulls the target subreddit's JSON endpoint every hour for new posts → A Phase 1 checklist filters every post — is it answerable from our wiki, factual, on-brand, mod-safe? → The answer engine queries an LLM Wiki built from our blog, guides, and help center (Firecrawl ingested every page into a raw → wiki → index structure) → Claude drafts a casual, value-first answer that grounds every claim in our content → Every draft lands in Slack for human-in-the-loop review before it posts — no fire-and-forget, no bans I built this in a week for CoinLedger, the crypto tax software I've been running for 8 years. 10% of our new signups already say they found us through ChatGPT. This system is how we push that number a lot higher. If you want the exact Claude skill I built: Like & Comment "AGENT" (must be following so I can dm you) I'll send it over for free.

David Roberts

36,152 views • 2 months ago

I shot this video last week to onboard a new set of alpha customers to Notion Custom Agents. Figured I should just put it out here so you can follow along the latest and greatest. It's so cool to see all the things people are building with it. You can see some of my own use cases here: (0:00) Intro to custom agents Starting with personal use cases (1:00) Building a mail triage agent (5:00) Creating a prep doc for all my daily meetings (6:45) Generating a daily report that helps me catch up with multiple slack channels Switching to company use cases (8:30) Agent that automatically answers questions in a slack channel and files tasks when necessary (10:30) Agent that auto-routes product feedback to the right team channel and task db. And it does this with routing rules, that it wrote itself. (12:40) Build your own agent. Let your imaginations run wild! Send us feedback! The product is rolling out quickly, and everyone should have access in the next couple weeks.

I shot this video last week to onboard a new set of alpha customers to Notion Custom Agents. Figured I should just put it out here so you can follow along the latest and greatest. It's so cool to see all the things people are building with it. You can see some of my own use cases here: (0:00) Intro to custom agents Starting with personal use cases (1:00) Building a mail triage agent (5:00) Creating a prep doc for all my daily meetings (6:45) Generating a daily report that helps me catch up with multiple slack channels Switching to company use cases (8:30) Agent that automatically answers questions in a slack channel and files tasks when necessary (10:30) Agent that auto-routes product feedback to the right team channel and task db. And it does this with routing rules, that it wrote itself. (12:40) Build your own agent. Let your imaginations run wild! Send us feedback! The product is rolling out quickly, and everyone should have access in the next couple weeks.

Akshay Kothari

74,684 views • 6 months ago