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CRM has always been weird. Humans do the work → then manually update the CRM about the work. Lightfield is flipping that model. Instead of asking reps to keep the CRM updated, it builds the customer context from calls, emails, Slack, LinkedIn, etc. Then agents can actually work from...

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Kshitij Mishra | AI & Tech

52,031 subscribers

22,877 次观看 • 6 天前 •via X (Twitter)

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12 条评论

Apex Mentality 的头像
Apex Mentality6 天前

Feels like the shift from “CRM as a database” to “CRM as an active teammate.”

Mind Yeti 的头像
Mind Yeti6 天前

This is the part of AI in sales that actually feels useful. Less data entry, more actual selling.

Life Mastery 的头像
Life Mastery6 天前

The best CRMs should capture the work, not create more work for the reps.

Daily Wisdom 的头像
Daily Wisdom6 天前

The CRM being updated automatically from existing workflows just makes way more sense.

Vikram Kushwaha 的头像
Vikram Kushwaha6 天前

Traditional CRMs were built for management oversight. AI-native CRMs are built to actually help reps close, huge difference

Manish Kumar Shah 的头像
Manish Kumar Shah6 天前

Less manual logging + better context is a strong combination.

Chen 的头像
Chen6 天前

noted, fellow builder

The Ant Philosophy 的头像
The Ant Philosophy6 天前

$45M Series A aside, the product direction here is probably the more interesting signal.

Leonard Rodman 的头像
Leonard Rodman6 天前

Manual CRM updates are basically asking salespeople to become data-entry operators.

Ava Sinclair AI 的头像
Ava Sinclair AI6 天前

Great

Minds That Build 的头像
Minds That Build6 天前

If the context is already sitting across calls, emails and Slack, manually entering it again was always a weird workflow.

Shruti Codes 的头像
Shruti Codes6 天前

The real unlock is giving AI the full context instead of just a few fields in a CRM.

相关视频

I’ve always found CRM updates to be one of those things sales teams say they’ll keep clean… and then slowly stop doing. Important stuff ends up in Slack, emails, calls, DMs etc. Then someone has to piece it all together before a meeting. That’s why Lightfield caught my attention. Instead of asking people to keep updating the CRM, it builds the customer context from all those interactions and lets agents work from it.
1:17

I’ve always found CRM updates to be one of those things sales teams say they’ll keep clean… and then slowly stop doing. Important stuff ends up in Slack, emails, calls, DMs etc. Then someone has to piece it all together before a meeting. That’s why Lightfield caught my attention. Instead of asking people to keep updating the CRM, it builds the customer context from all those interactions and lets agents work from it.

Shruti Codes

33,948 次观看 • 6 天前

SLAPPING A CHATBOT ONTO A LEGACY CRM DOES NOT MAKE IT AN AGENTIC PLATFORM Real GTM work requires deep context. Lightfield just raised $45M from a16z to solve this. Watching the demo shows what an agentic platform should actually look like 👀
1:03

SLAPPING A CHATBOT ONTO A LEGACY CRM DOES NOT MAKE IT AN AGENTIC PLATFORM Real GTM work requires deep context. Lightfield just raised $45M from a16z to solve this. Watching the demo shows what an agentic platform should actually look like 👀

Charly Wargnier ♨️

24,997 次观看 • 6 天前

>calls, email, slack, linkedin, all ingested >a live structured picture of every customer >readable and writable via api, mcp and cli >agents do the pipeline work on top of it that's a crm built for agents rather than a crm with agents added on
1:03

>calls, email, slack, linkedin, all ingested >a live structured picture of every customer >readable and writable via api, mcp and cli >agents do the pipeline work on top of it that's a crm built for agents rather than a crm with agents added on

naldz.

17,445 次观看 • 6 天前

ok this is something I keep thinking about and haven't seen anyone actually say out loud agents made me personally so much faster at my job, like genuinely different person levels of output but the companies I've worked at as a whole? nothing. Maybe a little and I think it's because none of that context ever left my head. The agent knew what I knew about the account, not what the company knew, so it dies with me instead of compounding for the team that's basically the exact problem Lightfield is fixing. instead of reps manually logging notes, it ingests every call, email, and slack to build a live customer world model that both humans and agents work from. they just announced a $47M series A led by a16z.
0:42

ok this is something I keep thinking about and haven't seen anyone actually say out loud agents made me personally so much faster at my job, like genuinely different person levels of output but the companies I've worked at as a whole? nothing. Maybe a little and I think it's because none of that context ever left my head. The agent knew what I knew about the account, not what the company knew, so it dies with me instead of compounding for the team that's basically the exact problem Lightfield is fixing. instead of reps manually logging notes, it ingests every call, email, and slack to build a live customer world model that both humans and agents work from. they just announced a $47M series A led by a16z.

Chidanand Tripathi

99,689 次观看 • 6 天前

startups buy salesforce or hubspot by default because that's just what you do when you scale. the problem is those systems were built for reps manually typing notes. slapping ai agents on top of subjective, incomplete data is a bottleneck. lightfield actually rebuilt the crm for the agent era. full api and mcp access turns it into infrastructure. 5,000+ companies already moved. i've been working with the lightfield team, and their $47m series a is pure signal. opinions are mine.
0:53

startups buy salesforce or hubspot by default because that's just what you do when you scale. the problem is those systems were built for reps manually typing notes. slapping ai agents on top of subjective, incomplete data is a bottleneck. lightfield actually rebuilt the crm for the agent era. full api and mcp access turns it into infrastructure. 5,000+ companies already moved. i've been working with the lightfield team, and their $47m series a is pure signal. opinions are mine.

kai.

13,404 次观看 • 6 天前

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
0:28

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 • 7 个月前

Anthropic introduced Claude Tag letting teams delegate work to Claude directly inside Slack across approved channels & tools. The real winner of this shift could be $CRM as Slack becomes the coordination layer for humans and AI agents while model providers compete for distribution inside the platform.
2:22

Anthropic introduced Claude Tag letting teams delegate work to Claude directly inside Slack across approved channels & tools. The real winner of this shift could be $CRM as Slack becomes the coordination layer for humans and AI agents while model providers compete for distribution inside the platform.

Shay Boloor

70,058 次观看 • 2 个月前

Today we're announcing Lightfield's $47M Series A led by a16z to reimagine CRM as a world model of a business. For agents to do customer-facing work, they need to understand how your business actually works. Salesforce wasn't designed for this. It was built 20+ years ago for humans to update records. Layer agentic processes on top and you get low quality output, because the underlying data is incomplete and lacks the structure agents need. Lightfield updates itself from every interaction, forming a trustworthy model of your business for people and agents. Since launching last November, 5,000+ companies have signed up - and we're ripping out legacy CRM at mature organizations with hundreds of users. Companies on Lightfield grow faster than their competitors. It finds prospects that look like your best customers and books meetings with them. It captures commitments from every conversation and automates follow-ups. It diagnoses weaknesses in your funnel and learns from your best sellers to codify what works. The companies of the future will run on a business world model, not a Salesforce-era database. Our mission is to put that capability in the hands of every employee, and every agent, at every company.
2:07

Today we're announcing Lightfield's $47M Series A led by a16z to reimagine CRM as a world model of a business. For agents to do customer-facing work, they need to understand how your business actually works. Salesforce wasn't designed for this. It was built 20+ years ago for humans to update records. Layer agentic processes on top and you get low quality output, because the underlying data is incomplete and lacks the structure agents need. Lightfield updates itself from every interaction, forming a trustworthy model of your business for people and agents. Since launching last November, 5,000+ companies have signed up - and we're ripping out legacy CRM at mature organizations with hundreds of users. Companies on Lightfield grow faster than their competitors. It finds prospects that look like your best customers and books meetings with them. It captures commitments from every conversation and automates follow-ups. It diagnoses weaknesses in your funnel and learns from your best sellers to codify what works. The companies of the future will run on a business world model, not a Salesforce-era database. Our mission is to put that capability in the hands of every employee, and every agent, at every company.

Keith Peiris

1,324,500 次观看 • 6 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

45,593 次观看 • 1 个月前

Announcing @slashyai x Attio. The first email client to have a native Attio integration. Your full Attio context now lives in your inbox -- right where you actually move deals forward. Everything syncs instantly between Slashy and Attio. You can even update Attio straight from iMessage or Slack. Finally there's an AI-native inbox, for the AI-native CRM 🤝
0:58

Announcing @slashyai x Attio. The first email client to have a native Attio integration. Your full Attio context now lives in your inbox -- right where you actually move deals forward. Everything syncs instantly between Slashy and Attio. You can even update Attio straight from iMessage or Slack. Finally there's an AI-native inbox, for the AI-native CRM 🤝

Pranjali Awasthi

20,485 次观看 • 4 个月前

Slashy ( is the AI assistant that slashes through repetitive work: meeting prep, JIRA tickets, CRM updates & more. Get 10+ hours back every week to focus on what actually matters. Congrats on the launch, @PranjaliAwasthi, Dhruv & Harsha from Slashy!
0:35

Slashy ( is the AI assistant that slashes through repetitive work: meeting prep, JIRA tickets, CRM updates & more. Get 10+ hours back every week to focus on what actually matters. Congrats on the launch, @PranjaliAwasthi, Dhruv & Harsha from Slashy!

Y Combinator

35,961 次观看 • 1 年前

The #1 AI meets the #1 CRM. Welcome to Claudeforce. The Salesforce + Anthropic partnership to build products that put your trusted data to work inside Claude. ↳ 37 built-in sales skills, backed by 27 years of CRM experience. ↳ Connect once. Claude can reason across Salesforce, Slack, and email — and act on the real state of your business. ↳ Works out of the box with your existing Salesforce permissions and business rules. An AI CRO for every seller. Learn more:
2:07

The #1 AI meets the #1 CRM. Welcome to Claudeforce. The Salesforce + Anthropic partnership to build products that put your trusted data to work inside Claude. ↳ 37 built-in sales skills, backed by 27 years of CRM experience. ↳ Connect once. Claude can reason across Salesforce, Slack, and email — and act on the real state of your business. ↳ Works out of the box with your existing Salesforce permissions and business rules. An AI CRO for every seller. Learn more:

Salesforce

73,279 次观看 • 20 天前

EVERYTHING you NEED to know about Jack Dorsey's AI agent "Slack killer" Buzz (set up, use-cases etc in 38 mins) What we get into: 1. What Buzz actually is and should founders switch from Slack? 2. How to swap the model under any agent and keep all your context? 3. How to talk to your agents live with audio huddles? 4. How to get agents to build and deploy real apps for you, like a full CRM from one ask? 5. How to set up the context loop that feeds your live app data back to your agents? 6. How to share compute so a few people split one machine running a local model? 7. Who it's actually for right now, and what's still rough? Full breakdown on the pod The Startup Ideas Podcast (SIP) 🧃. Thanks to Vinny for jumping on and clearly explaining jack and team's latest product. My TLDR take is Buzz is a glimpse into the future of work. Some of you will roll your eyes at that, and I get it, it's alpha software and it's slow in places. But the core idea, that your context is the foundation and agents build out from there, is right, and that's worth seeing early. Watch Curious what you think
38:43

EVERYTHING you NEED to know about Jack Dorsey's AI agent "Slack killer" Buzz (set up, use-cases etc in 38 mins) What we get into: 1. What Buzz actually is and should founders switch from Slack? 2. How to swap the model under any agent and keep all your context? 3. How to talk to your agents live with audio huddles? 4. How to get agents to build and deploy real apps for you, like a full CRM from one ask? 5. How to set up the context loop that feeds your live app data back to your agents? 6. How to share compute so a few people split one machine running a local model? 7. Who it's actually for right now, and what's still rough? Full breakdown on the pod The Startup Ideas Podcast (SIP) 🧃. Thanks to Vinny for jumping on and clearly explaining jack and team's latest product. My TLDR take is Buzz is a glimpse into the future of work. Some of you will roll your eyes at that, and I get it, it's alpha software and it's slow in places. But the core idea, that your context is the foundation and agents build out from there, is right, and that's worth seeing early. Watch Curious what you think

GREG ISENBERG

557,859 次观看 • 1 个月前

1/ The end of manual CRMs Most CRMs fail because they force manual typing, so data rots the moment a meeting ends -yet CRM’s core job is the vital, grueling task of logging every customer touchpoint, and in the AI era this human bottleneck turns dynamic relationships into a slow, error-filled slog that no team can sustain. Lightfield fixes that by auto-capturing all interactions—calls, emails, Slack, notes - so it’s the first CRM that truly knows your relationships as well as you do.
0:37

1/ The end of manual CRMs Most CRMs fail because they force manual typing, so data rots the moment a meeting ends -yet CRM’s core job is the vital, grueling task of logging every customer touchpoint, and in the AI era this human bottleneck turns dynamic relationships into a slow, error-filled slog that no team can sustain. Lightfield fixes that by auto-capturing all interactions—calls, emails, Slack, notes - so it’s the first CRM that truly knows your relationships as well as you do.

Chubby♨️

43,765 次观看 • 10 个月前

Once in a while, a bold team reimagines how an entire function should work, and builds the platform to make it real. That’s what the Reevo team is doing for go-to-market. They’ve flipped traditional CRM on its head, transforming a static system of record into an intelligent, action-oriented platform that unifies marketing, sales, and customer success. We’re proud to partner with David Zhu, Cindy Hao, Curtis Tan, and Clement Fang on Reevo, the first truly AI-native Revenue Operating System built to help GTM teams work smarter.
3:37

Once in a while, a bold team reimagines how an entire function should work, and builds the platform to make it real. That’s what the Reevo team is doing for go-to-market. They’ve flipped traditional CRM on its head, transforming a static system of record into an intelligent, action-oriented platform that unifies marketing, sales, and customer success. We’re proud to partner with David Zhu, Cindy Hao, Curtis Tan, and Clement Fang on Reevo, the first truly AI-native Revenue Operating System built to help GTM teams work smarter.

Kleiner Perkins

17,405 次观看 • 10 个月前

Every manufacturer has a coordination problem that scales with their business. korso fixes that. Deploy agents across your inbox + ERP, CRM, and MES systems to automate work and surface what is falling through the cracks. Congrats on the launch, alex liu, Martin Pan, and Daichi Hiraoka!
0:58

Every manufacturer has a coordination problem that scales with their business. korso fixes that. Deploy agents across your inbox + ERP, CRM, and MES systems to automate work and surface what is falling through the cracks. Congrats on the launch, alex liu, Martin Pan, and Daichi Hiraoka!

Y Combinator

12,473 次观看 • 4 个月前

Agents changed software forever. For everyone. You won't need to "learn a tool" anymore. Instead, you'll tell tools what you want, and they will figure out how to do it. This is a huge shift. I'm currently working with Spoki, an AI agentic conversational platform. After looking at this, you'll never think of a CRM the same way. A traditional CRM manages contact data. Spoki manages the entire customer journey (marketing, sales, and customer care) in a single continuous flow across WhatsApp, SMS, and Voice AI. AI will dismantle the old traditional tools one by one. Think of it this way: Instead of stitching together a bunch of tools to talk to your customers, you have a single conversation that runs the entire relationship.
5:13

Agents changed software forever. For everyone. You won't need to "learn a tool" anymore. Instead, you'll tell tools what you want, and they will figure out how to do it. This is a huge shift. I'm currently working with Spoki, an AI agentic conversational platform. After looking at this, you'll never think of a CRM the same way. A traditional CRM manages contact data. Spoki manages the entire customer journey (marketing, sales, and customer care) in a single continuous flow across WhatsApp, SMS, and Voice AI. AI will dismantle the old traditional tools one by one. Think of it this way: Instead of stitching together a bunch of tools to talk to your customers, you have a single conversation that runs the entire relationship.

Santiago

12,095 次观看 • 3 个月前

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
1:49

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 🇺🇸

85,516 次观看 • 3 个月前

Here’s why Chamath takes 8090 sales calls HIMSELF: Salespeople don’t take what the customer says and immediately go change the product. But he can. Customer feedback doesn't get softened or lost in a CRM like it would with a salesperson. Instead, it goes straight into what 8090 builds next. Find out why founder-led sales is the fastest way for customer feedback to ACTUALLY change the product in this TWiST All Stars highlight. cc: Chamath Palihapitiya, @jason
7:37

Here’s why Chamath takes 8090 sales calls HIMSELF: Salespeople don’t take what the customer says and immediately go change the product. But he can. Customer feedback doesn't get softened or lost in a CRM like it would with a salesperson. Instead, it goes straight into what 8090 builds next. Find out why founder-led sales is the fastest way for customer feedback to ACTUALLY change the product in this TWiST All Stars highlight. cc: Chamath Palihapitiya, @jason

This Week in Startups

55,467 次观看 • 2 个月前