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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...

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Coffee with One 🇺🇸

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85,224 次观看 • 2 个月前 •via X (Twitter)

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everyone in the AI CRM race is building the wrong product. after onboarding 700+ customers one by one and min person, zoom and slack and saw some go, i learned the painfully obvious insight: The best CRM is no CRM at all. Not a better CRM. Not a faster CRM. A CRM you forget exists completely. That’s what we’re building. Octolane AI is world's first self-driving AI CRM. It finds your deals. Writes your follow-ups. Updates every field. While you sleep. You never log in. You never update a field. You never “use” it. The CRM disappears. The results don’t. We’re 5 people. Y Combinator W24. Shipping 7 days a week from whatever office will have us. To everyone on that list with your mega-rounds: respect. But we’re coming. 100 days. Building in public. Let the market decide
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everyone in the AI CRM race is building the wrong product. after onboarding 700+ customers one by one and min person, zoom and slack and saw some go, i learned the painfully obvious insight: The best CRM is no CRM at all. Not a better CRM. Not a faster CRM. A CRM you forget exists completely. That’s what we’re building. Octolane AI is world's first self-driving AI CRM. It finds your deals. Writes your follow-ups. Updates every field. While you sleep. You never log in. You never update a field. You never “use” it. The CRM disappears. The results don’t. We’re 5 people. Y Combinator W24. Shipping 7 days a week from whatever office will have us. To everyone on that list with your mega-rounds: respect. But we’re coming. 100 days. Building in public. Let the market decide

Coffee with One 🇺🇸

70,538 次观看 • 6 个月前

Something happened in our Octolane AI AI CRM today that I want to share, because I don't think people realize what we've built yet. A new user signed up for Octolane. Within minutes, our own instance of Octolane: → Read the signup → Decided the question worth asking was "is this a YC company?" → Created that field itself → Wrote an ICP summary for the account → Did the same across all 1,205 records in our self-serve pipeline I did not create the "is YC?" column. I did not write a prompt. I did not tell it what our ICP was. Octolane read our sales conversations, figured out that YC batch mattered to us, and built the schema around it. Respan came back YES W24. Paradigm, YES W24. Korso, YES S26. Kapsule, NO - and a one-line summary of what they actually do. Every single value has a source. Every source has been verified by a second agent. This is what self-driving CRM means. Every other tool is still asking you to map fields. If you're a founder reading this, this is the bar now. If you're a VC reading this, ask your portfolio companies if their CRM is generating its own fields yet.
0:42

Something happened in our Octolane AI AI CRM today that I want to share, because I don't think people realize what we've built yet. A new user signed up for Octolane. Within minutes, our own instance of Octolane: → Read the signup → Decided the question worth asking was "is this a YC company?" → Created that field itself → Wrote an ICP summary for the account → Did the same across all 1,205 records in our self-serve pipeline I did not create the "is YC?" column. I did not write a prompt. I did not tell it what our ICP was. Octolane read our sales conversations, figured out that YC batch mattered to us, and built the schema around it. Respan came back YES W24. Paradigm, YES W24. Korso, YES S26. Kapsule, NO - and a one-line summary of what they actually do. Every single value has a source. Every source has been verified by a second agent. This is what self-driving CRM means. Every other tool is still asking you to map fields. If you're a founder reading this, this is the bar now. If you're a VC reading this, ask your portfolio companies if their CRM is generating its own fields yet.

Coffee with One 🇺🇸

15,532 次观看 • 3 个月前

My co-founder was spending 20+ hours per week handling sales calls So I built an AI clone of to replace him - + to create an interactive replica that asks questions related to the deal - o3 agent reads the transcript and finds identifies key qualification points - Leads get uploaded to our CRM and every interaction gets saved in AgentOps 🖇️ The tool took me less than a day to build at the hackathon. Automate the boring stuff with agents. DM/comment for access
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My co-founder was spending 20+ hours per week handling sales calls So I built an AI clone of to replace him - + to create an interactive replica that asks questions related to the deal - o3 agent reads the transcript and finds identifies key qualification points - Leads get uploaded to our CRM and every interaction gets saved in AgentOps 🖇️ The tool took me less than a day to build at the hackathon. Automate the boring stuff with agents. DM/comment for access

Alex Reibman 🖇️

141,387 次观看 • 1 年前

How Jason Calacanis Got Claw-Pilled: An AI Agent Prompted Itself to Build Him a CRM in Seconds “ The moment I became Claw-pilled, I was like, ‘Hey, I want to build my network, I know these 20 people in Japan, I had dinner with them during my recent trip, I want to know who they know, so check out LinkedIn and other things, and who they're associated with, and make me a mind map of it, and then the next trip I want to meet with the next circle of those connections.’” “It's like, ‘Okay, I got the results,’ and it said, ‘Where do you want me to put them?’” “I was like, ‘Well, where can you put them?’” “And it said, ‘I can put it in a Google sheet, I can put it in a Notion table, I can put it here, I could give you a PDF, I could give you a CSV file, or I could write you a CRM.’ And I was like, ‘Yeah, sure, make me a CRM system…’ and it made a CRM system.” “I think maybe 1/1000 people working with AI have had that experience. Maybe it's 1/10,000, where your agent says, ‘I'll make you bespoke software.’ The context is so good because the memory's getting better. When did that happen?” Perplexity CEO Aravind Srinivas: “I think it happened with Opus 4.5. That was the inflection point when models started being amazingly good at orchestration, and reasoning, and tool calls.” “The models started becoming very good at handling the context, so the context window no longer became a problem, and that made it suddenly so good at doing very long orchestration tasks.” —------------------------------------------ Our episode is sponsored by the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE 🏛 -
1:09

How Jason Calacanis Got Claw-Pilled: An AI Agent Prompted Itself to Build Him a CRM in Seconds “ The moment I became Claw-pilled, I was like, ‘Hey, I want to build my network, I know these 20 people in Japan, I had dinner with them during my recent trip, I want to know who they know, so check out LinkedIn and other things, and who they're associated with, and make me a mind map of it, and then the next trip I want to meet with the next circle of those connections.’” “It's like, ‘Okay, I got the results,’ and it said, ‘Where do you want me to put them?’” “I was like, ‘Well, where can you put them?’” “And it said, ‘I can put it in a Google sheet, I can put it in a Notion table, I can put it here, I could give you a PDF, I could give you a CSV file, or I could write you a CRM.’ And I was like, ‘Yeah, sure, make me a CRM system…’ and it made a CRM system.” “I think maybe 1/1000 people working with AI have had that experience. Maybe it's 1/10,000, where your agent says, ‘I'll make you bespoke software.’ The context is so good because the memory's getting better. When did that happen?” Perplexity CEO Aravind Srinivas: “I think it happened with Opus 4.5. That was the inflection point when models started being amazingly good at orchestration, and reasoning, and tool calls.” “The models started becoming very good at handling the context, so the context window no longer became a problem, and that made it suddenly so good at doing very long orchestration tasks.” —------------------------------------------ Our episode is sponsored by the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE 🏛 -

The All-In Podcast

170,961 次观看 • 4 个月前

introducing momo, the CRM for AI agents. it gives agents its own CRM, like Salseforce/Hubspot for humans. every AI native company will need dev agents, sales agents, customer support agents, HR, legal, finance, design agents. we're starting from customer relationships. we hypothesize that every important decision ever made in a company all derives from understanding customer data. even if dev agents are good at building things out in a day, if they don't have any customer signals on which features are working or where people are churning, it's no use. Momo does the following: 1) sets up your CRM with posthog + gmail data (or other web analytics tool) 2) analyzes the features your dev agents push 3) detects power users and churning users, aggregates CS tickets 4) sets up auto outreach email workflows & collects reponses 5) builds out list of issues to fix & next steps for your dev agent setting up custom onboarding for a few teams right now, please dm if interested :)
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introducing momo, the CRM for AI agents. it gives agents its own CRM, like Salseforce/Hubspot for humans. every AI native company will need dev agents, sales agents, customer support agents, HR, legal, finance, design agents. we're starting from customer relationships. we hypothesize that every important decision ever made in a company all derives from understanding customer data. even if dev agents are good at building things out in a day, if they don't have any customer signals on which features are working or where people are churning, it's no use. Momo does the following: 1) sets up your CRM with posthog + gmail data (or other web analytics tool) 2) analyzes the features your dev agents push 3) detects power users and churning users, aggregates CS tickets 4) sets up auto outreach email workflows & collects reponses 5) builds out list of issues to fix & next steps for your dev agent setting up custom onboarding for a few teams right now, please dm if interested :)

Cailyn Y.

189,732 次观看 • 4 个月前

This is not a drill - if you’re a VC, please look at what I just created. An agent that looks at my CRM and automatically reaches out to people I have not spoken to in over 1 year. Literally network watering on autopilot with Hyperagent. Here’s how it works: - Scans your CRM for last call date - Generates reconnect emails for each person completely personalized to the last convo we had - Automatically puts in your Gmail draft folder with their email for you to send (you can have it send without review too) - Reruns this every quarter to make sure I’m staying on top of my relationships Download the agent and use it yourself (+$200 credits): And let me know what you think!! #hyperagentpartner
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This is not a drill - if you’re a VC, please look at what I just created. An agent that looks at my CRM and automatically reaches out to people I have not spoken to in over 1 year. Literally network watering on autopilot with Hyperagent. Here’s how it works: - Scans your CRM for last call date - Generates reconnect emails for each person completely personalized to the last convo we had - Automatically puts in your Gmail draft folder with their email for you to send (you can have it send without review too) - Reruns this every quarter to make sure I’m staying on top of my relationships Download the agent and use it yourself (+$200 credits): And let me know what you think!! #hyperagentpartner

Nicole DeTommaso 🪄

227,410 次观看 • 27 天前

if your GTM teams are still manually updating the CRM, building audiences, doing research, and drafting emails - you're ngmi Ramp Revenue is our internal GTM Coworker used by >90% of all our GTM teams. background agents do real work now: managing inboxes, prospecting, CRM updates, post-call follow-ups but automating repeatable tasks isn't the point (though our sellers do love not updating the CRM manually anymore). the real unlock is that we're encoding institutional GTM knowledge that used to live in reps' heads - playbooks, account memory, what worked for which segment, why a deal moved and making it computable every run compounds it. every human correction teaches the system. the org's rate of learning becomes the moat, not any single agent a few things that made it work: → composable context layer. give an agent a live, shared view of the account and let it write back what it learns. generic models don't know your customers → reliable background work needs a real harness. short episodes, memory, triggers, evals, human approval points. "ship an agent" is easy - doing real work at an acceptable quality bar is hard → playbooks as the orchestration layer: who qualifies, why now, the message, the channel - agents turn that into the actual work where this goes: agents drive experimentation and orchestration - propose their own plays, kill what's not working, and get sharper with every interaction
0:38

if your GTM teams are still manually updating the CRM, building audiences, doing research, and drafting emails - you're ngmi Ramp Revenue is our internal GTM Coworker used by >90% of all our GTM teams. background agents do real work now: managing inboxes, prospecting, CRM updates, post-call follow-ups but automating repeatable tasks isn't the point (though our sellers do love not updating the CRM manually anymore). the real unlock is that we're encoding institutional GTM knowledge that used to live in reps' heads - playbooks, account memory, what worked for which segment, why a deal moved and making it computable every run compounds it. every human correction teaches the system. the org's rate of learning becomes the moat, not any single agent a few things that made it work: → composable context layer. give an agent a live, shared view of the account and let it write back what it learns. generic models don't know your customers → reliable background work needs a real harness. short episodes, memory, triggers, evals, human approval points. "ship an agent" is easy - doing real work at an acceptable quality bar is hard → playbooks as the orchestration layer: who qualifies, why now, the message, the channel - agents turn that into the actual work where this goes: agents drive experimentation and orchestration - propose their own plays, kill what's not working, and get sharper with every interaction

Parth Gujare

44,602 次观看 • 25 天前

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.
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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 次观看 • 11 个月前

1/ My Co-founder Peter had 6 active negotiations, weeks of calls and emails and genuinely had no idea who actually mattered in any of them. Then, Lightfield just dropped its custom 'Skills & Knowledge' to their CRM. A game changer! We built one right away to map out all these client relationships. What we realized was we had a mess. But now, instead of clicking through a million tabs in a live meeting, Lightfield did the work. The key thing: every email, call, and interaction we had with each client was automatically captured. These skills always run in the freshest context for every client relationship. It doesn't rely on any one team member, and the data is always fresh, never stale. A 🧵:
0:38

1/ My Co-founder Peter had 6 active negotiations, weeks of calls and emails and genuinely had no idea who actually mattered in any of them. Then, Lightfield just dropped its custom 'Skills & Knowledge' to their CRM. A game changer! We built one right away to map out all these client relationships. What we realized was we had a mess. But now, instead of clicking through a million tabs in a live meeting, Lightfield did the work. The key thing: every email, call, and interaction we had with each client was automatically captured. These skills always run in the freshest context for every client relationship. It doesn't rely on any one team member, and the data is always fresh, never stale. A 🧵:

Chubby♨️

18,781 次观看 • 4 个月前

Welcome Agentforce Coworker. 🤝 Your new AI teammate is now inside every Salesforce search bar. It doesn’t just find things — it works with you. Agentforce now instantly taps into your CRM data, workflows, customer history, opportunities, and cases… then takes action in real-time. ❌ No copy/paste ❌ No tab hunting ❌ No context switching Just ask. Act. Close faster. 🔥 Plus, build custom agents that run natively in Slack, Teams, and mobile. Available today for every Agentforce customer. We went from internal dog fooding to your hands in record time. The pace at Salesforce is absolutely WILD right now ⚡️Be a Trailblazer — turn yours on today! 👇
1:35

Welcome Agentforce Coworker. 🤝 Your new AI teammate is now inside every Salesforce search bar. It doesn’t just find things — it works with you. Agentforce now instantly taps into your CRM data, workflows, customer history, opportunities, and cases… then takes action in real-time. ❌ No copy/paste ❌ No tab hunting ❌ No context switching Just ask. Act. Close faster. 🔥 Plus, build custom agents that run natively in Slack, Teams, and mobile. Available today for every Agentforce customer. We went from internal dog fooding to your hands in record time. The pace at Salesforce is absolutely WILD right now ⚡️Be a Trailblazer — turn yours on today! 👇

Marc Benioff

197,031 次观看 • 2 个月前

Creatine Monohydrate is STILL KING Creatine monohydrate (CrM) is the most effective supplement on the market & has decades of data & thousands of studies to back up its use. It is also the least expensive form of creatine on the market. If CrM is so effective why do companies keep trying to reinvent the wheel? I’ll let you in on a dirty little supplement industry secret, companies can’t make much money on CrM because it is so widely available that it drives down the price. So companies make ‘new & improved’ forms of creatine to justify charging you 2-4x more money. There’s only one problem… these forms are either less effective or only equally effective but cost WAY more One of the new forms of creatine that has generated a lot of buzz is creatine hydrochloride (CrHCl). CrHCl is more soluble in water & so the claim has been made that it gets absorbed better & you don’t need to take as much to get equal results. A recent study (PMID: 39545789) aimed to test these claims directly. The researchers split the participants into 4 groups who resistance trained (RT): RT + placebo RT + CrM at 0.03g/kg BW RT + CrHCl at 0.03g/kg BW RT + CrM at a loading dose of 0.3g/kg BW followed by a maintenance dose of 0.03g/kg BW At the end of the study all the creatine groups had better results than the placebo group, but NONE of the creatine groups had any significant differences from each other. Sorry CrHCl, you’re just another overpriced reinvention of the wheel to try to get people to spend more money so that supplement companies can pocket more Some people do get GI distress with rCM, in this case you can try splitting the normal 5g/day dose up into 2-3 smaller doses throughout the day & that will help Stick with tried & true CrM. It is inexpensive & very effective. That is why we use CrM in my Recovery product from @outworknutritionofficial (link in bio) because why would we charge you more for a less effective, more expensive product? We wouldn’t, because we don’t roll like that
3:36

Creatine Monohydrate is STILL KING Creatine monohydrate (CrM) is the most effective supplement on the market & has decades of data & thousands of studies to back up its use. It is also the least expensive form of creatine on the market. If CrM is so effective why do companies keep trying to reinvent the wheel? I’ll let you in on a dirty little supplement industry secret, companies can’t make much money on CrM because it is so widely available that it drives down the price. So companies make ‘new & improved’ forms of creatine to justify charging you 2-4x more money. There’s only one problem… these forms are either less effective or only equally effective but cost WAY more One of the new forms of creatine that has generated a lot of buzz is creatine hydrochloride (CrHCl). CrHCl is more soluble in water & so the claim has been made that it gets absorbed better & you don’t need to take as much to get equal results. A recent study (PMID: 39545789) aimed to test these claims directly. The researchers split the participants into 4 groups who resistance trained (RT): RT + placebo RT + CrM at 0.03g/kg BW RT + CrHCl at 0.03g/kg BW RT + CrM at a loading dose of 0.3g/kg BW followed by a maintenance dose of 0.03g/kg BW At the end of the study all the creatine groups had better results than the placebo group, but NONE of the creatine groups had any significant differences from each other. Sorry CrHCl, you’re just another overpriced reinvention of the wheel to try to get people to spend more money so that supplement companies can pocket more Some people do get GI distress with rCM, in this case you can try splitting the normal 5g/day dose up into 2-3 smaller doses throughout the day & that will help Stick with tried & true CrM. It is inexpensive & very effective. That is why we use CrM in my Recovery product from @outworknutritionofficial (link in bio) because why would we charge you more for a less effective, more expensive product? We wouldn’t, because we don’t roll like that

Layne Norton, PhD

28,197 次观看 • 1 年前

Happy Mother's Day!💕 Today, I honor my extraordinary mom, Helen Kerwin, who raised my sisters and me all by herself in a rural town on the plains of Texas. She never missed a single one of our events and taught us to love the Lord, hustle hard, and dream bigger than we could ever imagine. As a mom of 4 amazing, brilliant children myself, I know there is no greater job in the world than being a mother. What a blessing to celebrate all the moms out there who pour their hearts into their families every single day!
1:05

Happy Mother's Day!💕 Today, I honor my extraordinary mom, Helen Kerwin, who raised my sisters and me all by herself in a rural town on the plains of Texas. She never missed a single one of our events and taught us to love the Lord, hustle hard, and dream bigger than we could ever imagine. As a mom of 4 amazing, brilliant children myself, I know there is no greater job in the world than being a mother. What a blessing to celebrate all the moms out there who pour their hearts into their families every single day!

Secretary Brooke Rollins

16,101 次观看 • 3 个月前

I've used Claude Code to build 20+ projects in the last 6 months. Thousands of new users across them. And I've never written a single line of code. I just dropped a 24-min video with my top 10 tips for non-developers — the exact playbook I use every day to run multiple AI agents that handle work that used to take me a full week. This is the best beginner guide to learning and building with Claude Code out right now. Every tutorial I found assumes you're a developer. This one doesn't. I cover everything from first install to running multi-agent workflows — with live demos and real examples for every single tip. How I set up new projects, how I got Claude to match my writing style, how I automate repeatable workflows with one command, and how I run multiple agents working on different tasks at the same time. I also built a full resource repo to go alongside the video — curated video tutorials, the best skill libraries, plugin directories, MCP server guides, written docs, community links, and a starter template you can copy-paste into your first project today. Comment "GUIDE" and I'll send you the full guide with everything you need to learn Claude Code! (make sure we're connected so I can DM you)
24:48

I've used Claude Code to build 20+ projects in the last 6 months. Thousands of new users across them. And I've never written a single line of code. I just dropped a 24-min video with my top 10 tips for non-developers — the exact playbook I use every day to run multiple AI agents that handle work that used to take me a full week. This is the best beginner guide to learning and building with Claude Code out right now. Every tutorial I found assumes you're a developer. This one doesn't. I cover everything from first install to running multi-agent workflows — with live demos and real examples for every single tip. How I set up new projects, how I got Claude to match my writing style, how I automate repeatable workflows with one command, and how I run multiple agents working on different tasks at the same time. I also built a full resource repo to go alongside the video — curated video tutorials, the best skill libraries, plugin directories, MCP server guides, written docs, community links, and a starter template you can copy-paste into your first project today. Comment "GUIDE" and I'll send you the full guide with everything you need to learn Claude Code! (make sure we're connected so I can DM you)

JJ Englert

419,570 次观看 • 6 个月前

In two years, every new tech company will run on a CRM you can vibe code to fit your business. This CRM will not be built from scratch on a coding platform though. It will be built on top of managed infrastructure with complete data capture, indices designed for LLMs to understand the whole picture, clean APIs, curated UI frameworks designed for selling, enterprise-grade security, and come with 24/7 support. You’ll instruct the agent using natural language and it will write the code + run it for you. That’s what we’re building at Lightfield and today we’re announcing step two of our plan - code execution. You can now ask your agent to build programs, artifacts, and run complex analysis instantly. It does this by writing and running Python in a high performance sandbox using full customer memory — including every email, meeting, and note that Lightfield has captured — and reasoning across every relationship to deliver high quality work. Ask your agent to build a competitive battle card before a call tomorrow. It pulls positioning, objections, and win/loss patterns from real conversations. Ask it to flag every open deal where your champion's engagement has dropped or sentiment has shifted. It reads across every conversation and tells you where to focus. Ask it to build a pipeline review with charts and graphs for your board. It produces the whole thing in minutes. Here’s what we did with it this week: → We asked our agent to grade our sales team on discovery, rapport, and closing. It gave a structured scorecard with specific examples from real conversations. → Our GTM team asked the agent to build a plan to expand one of our enterprise customers. It pulled competitive threats, upsell paths, stakeholder mapping, and a phased execution plan — in minutes. → We used it to find every feature request from the last quarter that our engineering team has since shipped, and draft a personalized follow-up to each customer using their original words. It closed loops across dozens of accounts that would have taken days to track down manually This is the first step towards building any custom GTM workflow in natural language on top of what Lightfield knows about your business - a world model built from every single interaction your team has had with customers.
1:00

In two years, every new tech company will run on a CRM you can vibe code to fit your business. This CRM will not be built from scratch on a coding platform though. It will be built on top of managed infrastructure with complete data capture, indices designed for LLMs to understand the whole picture, clean APIs, curated UI frameworks designed for selling, enterprise-grade security, and come with 24/7 support. You’ll instruct the agent using natural language and it will write the code + run it for you. That’s what we’re building at Lightfield and today we’re announcing step two of our plan - code execution. You can now ask your agent to build programs, artifacts, and run complex analysis instantly. It does this by writing and running Python in a high performance sandbox using full customer memory — including every email, meeting, and note that Lightfield has captured — and reasoning across every relationship to deliver high quality work. Ask your agent to build a competitive battle card before a call tomorrow. It pulls positioning, objections, and win/loss patterns from real conversations. Ask it to flag every open deal where your champion's engagement has dropped or sentiment has shifted. It reads across every conversation and tells you where to focus. Ask it to build a pipeline review with charts and graphs for your board. It produces the whole thing in minutes. Here’s what we did with it this week: → We asked our agent to grade our sales team on discovery, rapport, and closing. It gave a structured scorecard with specific examples from real conversations. → Our GTM team asked the agent to build a plan to expand one of our enterprise customers. It pulled competitive threats, upsell paths, stakeholder mapping, and a phased execution plan — in minutes. → We used it to find every feature request from the last quarter that our engineering team has since shipped, and draft a personalized follow-up to each customer using their original words. It closed loops across dozens of accounts that would have taken days to track down manually This is the first step towards building any custom GTM workflow in natural language on top of what Lightfield knows about your business - a world model built from every single interaction your team has had with customers.

Keith Peiris

27,584 次观看 • 6 个月前

Today, ZoomInfo's partnership with Claude has reached a new level. 45 seconds is all it took me to fully enrich a list of companies... without leaving Claude. I dropped in a CSV with company names and websites. Asked it to pull headcount, revenue, HQ location, last funding date, and total funding raised. ZoomInfo's MCP server did the rest and I downloaded a fully enriched Excel file in less than a minute. Here's why I think this is a big deal: ZoomInfo's data no longer lives just inside ZoomInfo. It follows you. Into Claude. Into ChatGPT. Into Gemini. Into the vibe-coded apps your team builds internally. Into your CRM. Into your marketing automation. We've spent 19 years building the world's best B2B data and now it can go wherever you work.
2:12

Today, ZoomInfo's partnership with Claude has reached a new level. 45 seconds is all it took me to fully enrich a list of companies... without leaving Claude. I dropped in a CSV with company names and websites. Asked it to pull headcount, revenue, HQ location, last funding date, and total funding raised. ZoomInfo's MCP server did the rest and I downloaded a fully enriched Excel file in less than a minute. Here's why I think this is a big deal: ZoomInfo's data no longer lives just inside ZoomInfo. It follows you. Into Claude. Into ChatGPT. Into Gemini. Into the vibe-coded apps your team builds internally. Into your CRM. Into your marketing automation. We've spent 19 years building the world's best B2B data and now it can go wherever you work.

Henry Schuck

141,316 次观看 • 5 个月前

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.
2:39

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 次观看 • 4 个月前

#SongZuer has always been independent since a younger age 🥹 🦢- i went to the united states without an agent. i got myself there on my own bcs my mom didn't want me to go to the US. at that time, my mom told me, "if you want to go abroad, you have to do it by yourself." i actually asked around, and the agency fee was one hundred thousand yuan. i remember back then, i spent some money to buy skype, and every day, i would sleep during the day, then wake up in the middle of the night to call american schools one by one. i eventually managed to go abroad. my mom had no idea how i managed to get there by myself. our family is the kind that believes in being self-reliant, so i especially love english. i've never been to a tutoring class. i just used to hide in the bathroom every day and secretly watch american tv shows. even now, my mom still doesn't understand how i ever learned english.
0:31

#SongZuer has always been independent since a younger age 🥹 🦢- i went to the united states without an agent. i got myself there on my own bcs my mom didn't want me to go to the US. at that time, my mom told me, "if you want to go abroad, you have to do it by yourself." i actually asked around, and the agency fee was one hundred thousand yuan. i remember back then, i spent some money to buy skype, and every day, i would sleep during the day, then wake up in the middle of the night to call american schools one by one. i eventually managed to go abroad. my mom had no idea how i managed to get there by myself. our family is the kind that believes in being self-reliant, so i especially love english. i've never been to a tutoring class. i just used to hide in the bathroom every day and secretly watch american tv shows. even now, my mom still doesn't understand how i ever learned english.

𝕻

28,587 次观看 • 1 年前

JOONGDUNK PRAEW PODCAST #DearMyselfxJoongDunk “third photo is the day when it was almost unbearable” —— 🌞it’s the photo that day i took my sister out; i had been working very hard for several consecutive days, but in the end she said she wanted to go out together. normally my sister doesn’t really want to go out with me much cause she likes staying in her room. although i was the one driving - in the end it seemed that day she was the one kind of taking me out. like sometimes we forget our goal but that everything i work for nowadays is to take care of my nongs nothing else. every day is tiring almost no free days, but i do all this work cause i want to see my nong at a good school - in a good place. that day made me feel that being close to my nong fulfilled something inside me like “yeah what i’m working for today is for my siblings - and that day we sat together and had a full meal with my nongs” my mom didn’t come she was tired and stayed home getting a massage : has this event been a long time ago? 🌞it was a long time ago. but i still remember it ecause sometimes we remember the day just from the feelings of that day - that’s why i chose this photo : that day going out with tired feelings but probably coming your room with a different feeling? 🌞actually it was another feeling kind of like still tired right but it’s the kind of tired that feels really good it was like reminding myself that today i really did what i wanted to do 🌞i see my nong sister has her own room - my nong brother has his own room and my little sister also has her own room. everyone in my family gets to eat what they want 🌞cause i grew up in conditions where i couldn’t have what i wanted. i didn’t have shoes as nice as others - didn’t have nice bags - didn’t have the best quality pencils. i would use almost a whole pencil before i could get a new one asking mom for a new pencil. so i felt that i don’t want my siblings to have to live like i did. : that was your life when you were in Turkey? 🌞yeah not extremely difficult but i had to be frugal : what you’re telling sounds like you were taking on your dad’s role 🌞yeah but did i want to do it? no! i didn’t want to take my dad’s place at all. if i could choose to go back if i could choose i would want my father still alive. but in the end everything forced me to grow up on the day i didn’t want to and in the end i did grow up
3:17

JOONGDUNK PRAEW PODCAST #DearMyselfxJoongDunk “third photo is the day when it was almost unbearable” —— 🌞it’s the photo that day i took my sister out; i had been working very hard for several consecutive days, but in the end she said she wanted to go out together. normally my sister doesn’t really want to go out with me much cause she likes staying in her room. although i was the one driving - in the end it seemed that day she was the one kind of taking me out. like sometimes we forget our goal but that everything i work for nowadays is to take care of my nongs nothing else. every day is tiring almost no free days, but i do all this work cause i want to see my nong at a good school - in a good place. that day made me feel that being close to my nong fulfilled something inside me like “yeah what i’m working for today is for my siblings - and that day we sat together and had a full meal with my nongs” my mom didn’t come she was tired and stayed home getting a massage : has this event been a long time ago? 🌞it was a long time ago. but i still remember it ecause sometimes we remember the day just from the feelings of that day - that’s why i chose this photo : that day going out with tired feelings but probably coming your room with a different feeling? 🌞actually it was another feeling kind of like still tired right but it’s the kind of tired that feels really good it was like reminding myself that today i really did what i wanted to do 🌞i see my nong sister has her own room - my nong brother has his own room and my little sister also has her own room. everyone in my family gets to eat what they want 🌞cause i grew up in conditions where i couldn’t have what i wanted. i didn’t have shoes as nice as others - didn’t have nice bags - didn’t have the best quality pencils. i would use almost a whole pencil before i could get a new one asking mom for a new pencil. so i felt that i don’t want my siblings to have to live like i did. : that was your life when you were in Turkey? 🌞yeah not extremely difficult but i had to be frugal : what you’re telling sounds like you were taking on your dad’s role 🌞yeah but did i want to do it? no! i didn’t want to take my dad’s place at all. if i could choose to go back if i could choose i would want my father still alive. but in the end everything forced me to grow up on the day i didn’t want to and in the end i did grow up

🇻🇳Jaidee’s aunt Bamnie🐣

27,746 次观看 • 4 个月前

AI is making marketers lazy. So we made the website do the work instead. Today, we're launching Ploy: the all-in-one marketing platform that turns your website into your hardest working employee. And we're coming out of stealth today with a $27M seed led by Y Combinator and First Round. I spent 12 years at Webflow as the founding CTO where I built the product, but also started our marketing and sales teams that drove our fastest periods of growth. That experience made one thing obvious: the website is the center of your business. And it's only more important in the age of AI. Foundation model apps can generate assets. Point solutions can optimize pieces of the funnel. But nothing runs the whole growth system: your site, brand, CMS, CRM, campaigns, analytics, SEO, AEO, and customer data all working together. Until now. Teams at HexTech and C, and growth agencies like Tonik and TNT Growth, are already powering sites on Ploy. Hex is generating on-brand ABM pages at scale, Clay is using its data to power a programmatic SEO engine, and TNT Growth is spinning up a landing page for each of their clients’ ads. Wake up every morning with a report from Ploy - with what it did, and what it wants to do next. Approve it. Ship it. Or be lazy and just watch it cook.
1:17

AI is making marketers lazy. So we made the website do the work instead. Today, we're launching Ploy: the all-in-one marketing platform that turns your website into your hardest working employee. And we're coming out of stealth today with a $27M seed led by Y Combinator and First Round. I spent 12 years at Webflow as the founding CTO where I built the product, but also started our marketing and sales teams that drove our fastest periods of growth. That experience made one thing obvious: the website is the center of your business. And it's only more important in the age of AI. Foundation model apps can generate assets. Point solutions can optimize pieces of the funnel. But nothing runs the whole growth system: your site, brand, CMS, CRM, campaigns, analytics, SEO, AEO, and customer data all working together. Until now. Teams at HexTech and C, and growth agencies like Tonik and TNT Growth, are already powering sites on Ploy. Hex is generating on-brand ABM pages at scale, Clay is using its data to power a programmatic SEO engine, and TNT Growth is spinning up a landing page for each of their clients’ ads. Wake up every morning with a report from Ploy - with what it did, and what it wants to do next. Approve it. Ship it. Or be lazy and just watch it cook.

brryant

1,021,973 次观看 • 2 个月前