Gorish Aggarwal

Sybill

Sybill is the AI co-pilot for B2B sellers. We don’t just capture your sales conversations—we automate and execute your follow-ups, CRM updates, and next steps, so you can focus on closing deals, not admin work.

💥 What Sybill Does:
✅ Auto-executes next steps: CRM updates, follow-ups, meeting scheduling
✅ AI-powered research: Pulls prospect insights from the web
✅ Auto-customizes sales collateral
✅ Works where sellers work—email, CRM, and LinkedIn

🚀 750+ sales teams trust Sybill
🔥 70%+ revenue from word-of-mouth
🤖 AI that doesn’t just track, it executes.

Started as AI that read facial expressions on Zoom. Now? The most advanced AI assistant helping sellers close more while doing less.

🚀 Hiring, Partnering, & Scaling—Let’s Connect!

Founding AE and CEO

Humans of Sales

📍 Bringing the human side of sales to life

Sales is more than quotas and cold calls—it’s about people. Humans of Sales shares real stories of sales reps: their wins, struggles, lessons, and moments that make this profession special.

Not a sales blog. No tactics. Just authentic, inspiring stories that redefine the sales narrative.

📅 New stories every Tuesday
🔹 Real Stories. Real Sales. Real People.

Follow #HumansOfSales to join the movement. 🚀

Founder 

Stanford University

Lead instructor of EE 263 in Q4 '19 and '20. Grad course on optimization theory and linear algebra

Lecturer

Samsung Electronics

Senior ML Engineer

CEO @ Sybill | Generative AI for Sales

Once upon a time, I was building AI to cure blindness, predict blood glucose levels, and even make drones land on moving vehicles. Now? I'm making sure B2B sales reps never have to update their CRM again (which, let's be honest, is a far greater cause).

At Sybill, we don’t just take notes—we execute next steps automatically. Follow-ups, CRM updates, scheduling, research—done for you. Do less, close more. 

750+ sales teams trust Sybill to do the boring stuff, so they can close more deals—and we’ve raised $15M to make it even smarter.

Also started Humans of Sales—because sales is more than quotas and cold calls. It’s about real people.

Follow for AI, sales, and spicy takes. 🚀

Member

RevGenius is a community of revenue-generating sales and marketing professionals brought together to learn, share, support, and grow with each other. Our community is remote-friendly, collaborative, and loves to help. You can consider us your alt work family!


My cofounder just got into Stanford.

And not just that, Mehak has been accepted into Stanford University Graduate School of Business as a Knight-Hennessy Scholars.

When we started Sybill, a lot of people told us not to work together. They said it would get messy. That family and startups don’t mix. 

But what they didn’t see was trust we already had. The kind you build growing up with shared dreams.

In the early days of Sybill, when nothing was working, Mehak held the line. When fundraising got hard, she focused on the customer.

When we didn’t know if we’d survive another month, she never once said “let’s pause product.”

That’s the thing about her, she builds through uncertainty, and doesn’t stop until it works.

As her (slightly older) brother, I’ve seen the person behind the achievements. The long hours. The resilience. The moments she chose perseverance over comfort. That same resilience is what’s taking her to Stanford today while continuing to build Sybill alongside all of us.

Proud doesn’t begin to describe it. Grateful to keep building Sybill alongside her, and to keep learning from her every day.

I named my company after Harry Potter.

I don't talk about it much, but I'm a huge Harry Potter nerd (I've read the series 10 times).

When I met my cofounder, Nishit, it was a huge bonding point for us.

And most people don't know this, but Sybill's namesake is actually Professor Sybill Trelawney, the divination teacher at Hogwarts.

Not because we believe in prophecies, but because Sybill does what she always tried to do: see beyond the words. (And because we're huge nerds)

In sales conversations, the real story isn’t just in a call transcript or CRM. It’s in the tone, the pauses, the patterns... all the moments when energy shifts. Sybill helps teams catch those moments automatically, so they can read the room and know what to do next.

No crystal ball. Just sharper perception at scale. And two founders who really love HP.

(P.S. yes, it’s “Sybill” with two Ls, just like Trelawney.)

We win deals against Gong every week.

Gong - 10x our size, 100x our budget, 1000x our brand recognition.

Yet week after week, we close companies who defected from Gong or choose us head-to-head.

Why?

Everyone says some version of the same thing: their AI is inferior. 

Not just to ours. But to what the market expects in 2025. 

Because the entire generation of pre-AI platforms (not just Gong) is racing to retrofit intelligence into systems that weren't built for it.

And they’re struggling. 

Here's what that looks like in practice 👇


1️⃣ 𝗧𝗵𝗲 𝗯𝗮𝘀𝗲𝗹𝗶𝗻𝗲 𝗵𝗮𝘀 𝘀𝗵𝗶𝗳𝘁𝗲𝗱: 𝗶𝗻𝘀𝗶𝗴𝗵𝘁 𝗶𝘀𝗻'𝘁 𝗲𝗻𝗼𝘂𝗴𝗵

In 2020, AI that summarized your calls was revolutionary.

In 2025, it's table stakes.

Gong tells you what happened.

Sybill tells you what to do next - then does it.

Sellers don't need tools that watch their work. They need AI that does the work.

Pre-AI systems were designed as systems of record. The next generation are systems of action.

The future belongs to platforms that act, automate, and accelerate, not just analyze.

And that’s the shift defining this decade.



2️⃣ 𝗠𝗼𝘀𝘁 𝗹𝗲𝗴𝗮𝗰𝘆 "𝗔𝗜" 𝗶𝘀 𝗺𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝘀𝗶𝘇𝘇𝗹𝗲, 𝗻𝗼𝘁 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 

Let's be honest: most "AI" features in legacy tools are wrappers.

They summarize calls. Flag keywords. Call scheduled automations "agents." That's not intelligence. That's automation with better branding.

Real example: Gong's AI identifies that a customer mentioned pricing concerns. Great. Now you manually assign the task, complete it, and update the CRM yourself.

That's not an agent. That's a notification system.

For pre-AI companies, AI lives on the surface - it observes but doesn’t orchestrate.

True intelligence happens when AI moves from insight to action, autonomously.



3️⃣ 𝗟𝗲𝗴𝗮𝗰𝘆 𝘀𝘂𝗰𝗰𝗲𝘀𝘀 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝗮 𝗹𝗶𝗺𝗶𝘁𝗮𝘁𝗶𝗼𝗻

Gong's strength - deep analytics built on structured data and dashboards - is now its ceiling.

Their AI can summarize a call beautifully. But ask it to connect that call to deal velocity patterns across your pipeline? To identify why Stage 2 deals are stalling?

It can't. Because their AI sits on top of the database, not inside it.

For pre-AI companies, every new AI capability has to navigate years of rigid architecture built for human reporting, not machine reasoning.



🧠 𝗧𝗵𝗲 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆:

Gong isn't the villain here. They're a symptom.

Salesforce, HubSpot, and countless legacy platforms face the same reality: their past success constrains their AI future.

Retrofitting AI onto pre-AI infrastructure is like trying to turn a flip phone into an iPhone by adding apps. 

The hardware wasn't designed for what the software needs to do.

The platforms that win the next decade won't be the ones adding AI features.

They'll be the ones where AI isn't a feature - it's the foundation.

Do you use Gong? I’ll make you a $1,000 bet.

Give me 15 minutes - I’ll layer Sybill over your Gong data and show you insights Gong can’t.

Gong is good at aggregate forecasting. But it can’t answer questions like:

→ How far are we from our ARR target this quarter? Prepare a gap analysis and action plan
→ Find deals from 2024 that were lost due to features which we now have
→ Analyze my active deals and flag ghosted customers and write follow ups
→ Which competitors do we win against? How many times? Why?

So some customers use both: Gong for forecasting, Sybill as their intelligence layer.

And I only need 15 mins of your time to strap that intelligence layer over your data.

Here’s what I need to make it happen…
1. Create a free Sybill account (5 mins)
We just need one person (not an entire team) to sign up for a free Sybill account.
DM me and I’ll set you up.
2. Integrate with Gong (2 mins)
Connect us with whoever manages your Gong account and we’ll handle the rest.
3. Integrate with your CRM (2 mins - optional)
Optional, but recommended for deeper insights.

Then give us a few hours to backlog your Gong data in Sybill.

From there, you’ll be able to ask Sybill anything across your deals, conversations, and meetings to get insights Gong can’t deliver on its own.

Things like:
→ Pipeline & forecast prediction
→ Deal intelligence & execution
→ Win/loss & competitive insights
→ Coaching & rep performance
→ Customer voice & product feedback
→ Pattern recognition & trend discovery
→ System and CRM hygiene
→ CS handoff & onboarding
→ Growth strategy & gap analysis
→ Re-engagement strategies

No dashboards. No setup headaches. Just real answers in real time.

If you’re not satisfied by the depth of insights you get from Sybill (that you can’t from Gong), I’ll give you $1,000 for wasting your time.

DM me if you’re interested.

Announcing our latest integration partner - Mario

Gong and Sybill see the world differently.

Whereas Gong takes a top-down approach to improving sales performance - focused on dashboards, forecasts, and coaching for managers.

We believe the only way to improve sales performance is from the bottom up - helping sales reps execute better by automating the busywork that creates bad execution in the first place.

Because no amount of coaching, forecasting, or reporting will help reps sell better if they’re stuck spending 70% of their day like this:
→ Logging their own notes → Key context is lost between calls.
→ Updating CRMs manually → Data goes stale or inconsistent.
→ Qualifying prospects in a rush → Bad-fit deals clog the pipe.
→ Preparing for calls last minute → Missed insights, weak discovery.
→ Building decks from scratch → Generic messaging that doesn’t land.
→ Writing follow-ups at night → Delayed responses, deals cool off.
→ Scheduling meetings manually → Slow cycles, lost momentum.
→ Drafting proposals under pressure → Sloppy pricing or missing details.
→ Babysitting a to-do list → Reactive days, no time for strategy.

Busywork creates bad execution that coaching, forecasting, and reporting can’t fix. Period.

Every small inefficiency compounds into a bigger performance problem.

So we take all of that off their plate, and give them back time to:
→ Run sharper discovery and demo calls
→ Strategize next steps for moving deals forward
→ Personalize outreach that actually resonates
→ Self-assess and practice performance
→ Focus on selling, not surviving

Ironically, when you center the seller, you don’t take value away from sales managers or sales leaders.

You multiply it.

When reps get time, context, and clarity back, everything else improves automatically.

👉 Coaching
Coaching works better because feedback actually sticks.
Reps aren’t scrambling to catch up on admin. They’re applying what they’ve learned in live deals, not in theory.

👉 Forecasting
Sybill automatically fills in close dates, next steps, and activity data after every call, then analyzes historical patterns to flag deals at risk of slipping.
Leaders stop debating which number to trust and start coaching around which deals to save.

👉 Momentum
Deal momentum accelerates because nothing falls through the cracks.
Follow-ups are sent, next meetings scheduled, and tasks completed automatically.
Reps stay focused on selling, not remembering.
And managers see deals moving forward instead of stalling from silence.

…

That’s the compound effect of centering the AE, not the manager.

Free the rep, and you free the whole revenue engine.

Send this to a sales leader who needs to hear this!

The face you make when you ask Gong AI literally anything...

If you can get any AI sales tool to think across your entire pipeline and replicate this level of intelligence, I'll send you $100. 

Here's the exact prompt to use: 

"Analyze our book of business from last quarter as a fractional CRO. Our targets for the next quarter is $1.5M run-rate in new + expansion revenue. Analyze the specifics from the last quarter to create a gap analysis, and provide a specific strategic framework to get to our numbers for the next quarter. Create specific OKRs for the sales organization."

Drop it in whatever copilot you use: notetaker, conversational intelligence, revenue AI, ChatGPT… whatever you use. 

Yesterday, I gave Sybill this exact prompt. 

You can check out the video of its output below. 

I told Sybill to act like a fractional CRO — analyze our book of business and give me a plan to hit $1.5 M next quarter.

What Sybill returned wasn't a report.

It was a gap analysis and go-to-market plan.

It pulled context across all deals from the previous quarter (156 deals) — wins, losses, expansions, etc. — then:

→ Explained where we are (performance + gaps)
→ Calculated where we need to be (coverage + conversion goals)
→ Outlined how to get there (3 specific revenue plays)
→ And detailed how to operationalize it (OKRs + weekly cadence)

All from one prompt.

No spreadsheets. No RevOps queries. No strategy offsite.

Instant, actionable, data-backed GTM strategy in literal seconds. 

Nothing else will replicate this level of precision, depth, quality, actionability, or speed. 

Not now. Not even by the end of the year.

We're 6-12 months ahead of the market. 

Every day Sybill shows me something I never thought would have been possible six months ago. 

Every day our engineering team pushes the boundaries of what AI can actually do for sales teams (not just what companies say it can). 

And this is only the beginning.

Sybill is joining forces with Zoho experts Enable Solutions LLC to end manual data entry in Zoho.

As Mike Lauer, CEO of Enable Solutions LLC, said, "Our customers want AI that listens to their sales calls and automatically updates deal records, solving the problem of incomplete data and inaccurate forecasts."

Because I'm tired of watching smart people waste time on CRM tasks, we're letting the first 10 Zoho teams try this free for 3 months.

Learn more about our joint solution here

CEO@Sybill - (CRO+AE)’s copilot for sales

Open article: Sybill and Enable Partner to Bring AI‑Powered CRM Hygiene to Zoho Customers by apnews.com

Sybill and Enable Partner to Bring AI‑Powered CRM Hygiene to Zoho Customers

I have spoken to 87 sales teams in 2025. Most of them pick one qualification framework and build their entire process around it.

BANT. SPICED. MEDDPICC. CHAMP. FAINT.

It doesn't really matter which one. The pattern is the same:

→ Reps ask scripted questions
→ Fill in the CRM fields
→ Check the boxes
→ Move on

It's mechanical. And it misses the point.

Qualification was meant to understand buyers, not just label them.

But somewhere along the way, frameworks turned into forms.

We started optimizing for completion, not comprehension.

The problem?

Not every deal looks the same.

An SMB pilot isn't qualified the same way as a six-figure enterprise rollout.


A rep in discovery shouldn't be judged by the same criteria as one in late-stage negotiation.

A product-led inbound deal isn't qualified the same way as a multi-threaded outbound pursuit.

Yet most sales orgs and their CRMs still force everyone through the same static model.

I get it.

Historically, it hasn't been easy to switch methodologies.

Qualification lived in spreadsheets, fields, and forms, not data.

Changing frameworks meant retraining reps, rebuilding CRM layouts, rewriting playbooks, and reconfiguring dashboards.

So teams picked one model and stuck with it, even when it didn't fit.

But what if that limitation disappeared?
What if you could toggle qualification methodologies instantly? 

What if you could use the best framework for the best deal type, stage, or motion – automatically?

And what if none of that required reconfiguring a CRM?

Good news: you can. 

Just Ask Sybill in plain English to: 

 → Use BANT for all early-stage
 → Use SPICED for all mid-market
 → Use MEDDPICC for all enterprise
→ Heck, analyze all deals (or one deal) across all methods at the same time

No more checkbox selling.

No more "one-size-fits-none" frameworks.

Just adaptive, contextual qualification that evolves with every deal.

Dynamic qualification > static qualification. 

Better news: We made a bundle of sales qualification prompt templates for AEs, managers, and leaders that you can use in Sybill right now. 

Link in comments.

Qualification custom to every sales team

CROs yawn at vague ideas like "conversational intelligence." Here's what actually impresses them every time....

When I actually break open Ask Sybill and show it off (sort of like in this scrappy demo below).

Call recorders like Gong and Fathom can tell you about what happened on a single sales call. They can’t tell you what’s happening across all of your calls.

Sybill’s different. It answers questions based on all of your team's calls, emails, and CRM activity, so you can ask Sybill just about anything about your deals.

Like ...

➡️ What's going on in our top 10 deals?
➡️ Analyze our book of business from last quarter like a fractional CRO.
➡️ Analyze Kendra's active deals from the last 30 days, flagging where we got ghosted and suggesting follow-ups.

This is the stuff they actually care about. Not talk ratios or objections mentioned.

They want to know what's really happening in their deals and what can be done about it.

Sybill helps with that. Check out my lofi demo below and let me know what you think.

(Better yet, tag your VP of Sales or CRO because we're a startup with aggressive revenue goals 😂)

Last week, we introduced AI tasks: 
Sybill now captures, creates, AND completes sales tasks for you - automatically. 

Today, we're introducing Manual Grind: Coffee + Busywork. 
For to-do lists that run on espresso, not Sybill (yet). 

Do you have: 
→ Follow-ups to write
→ CRMs to update
→ Meetings to schedule
→ Proposals to draft
→ Mutual action plans to create
→ Internal handoffs to facilitate
→ Reports to send to your boss

But DON'T have Sybill yet?

We feel your pain. Seriously.  

The next best thing is to pair this masterful Ethiopian Kolla Bolcha bag of coffee beans with a whole lot of busywork. 

Think of this coffee as your sales assistant in a cup, until Sybill shows up…

As the second best way to get your sales tasks done…

As your midnight task oil, if you will.

And we're giving away FREE bags. 

Yes, FREE bags of tasty hot bean water to help you survive Q4 without Sybill. 
So comment below if you want some and I'll pick a handful of you at random and send over some coffee. 

But we have to warn you…

It may cause: 
→ Over-caffeinated Slack behavior 
→ Jitters, typos, and extreme CRM rage
→ And an unrelenting desire to purchase Sybill to automate your sales tasks.

𝗜’𝗺 𝘂𝘀𝗶𝗻𝗴 𝗦𝘆𝗯𝗶𝗹𝗹 𝗮𝘁 𝗹𝗲𝗮𝘀𝘁 𝘁𝘄𝗶𝗰𝗲 𝗮𝘀 𝗺𝘂𝗰𝗵 𝘀𝗶𝗻𝗰𝗲 𝘄𝗲 𝗹𝗮𝘂𝗻𝗰𝗵𝗲𝗱 𝘁𝗵𝗶𝘀.

Most AI tools give you more to do, but don't help you do it.

So we fixed that.

Now Sybill doesn’t just capture your to-dos, it prioritizes them and handles the busywork for you.
Follow-ups, scheduling, decks, reports… done in a click.

Here’s how it works 


𝟭. 𝗦𝘆𝗯𝗶𝗹𝗹 𝗥𝗲𝗺𝗲𝗺𝗯𝗲𝗿𝘀 𝘁𝗮𝘀𝗸𝘀 𝘀𝗼 𝘆𝗼𝘂 𝗱𝗼𝗻’𝘁 𝗵𝗮𝘃𝗲 𝘁𝗼.
No more juggling to-dos in your head during calls — Sybill picks them up automatically.

𝟮. 𝗘𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 𝗶𝘀 𝗶𝗻 𝗼𝗻𝗲 𝗽𝗹𝗮𝗰𝗲.
View, sort, and kick off multiple tasks at once. I am living in this part of Sybill these days.

𝟯. 𝗜𝘁 𝗵𝗮𝗻𝗱𝗹𝗲𝘀 𝘁𝗵𝗲 𝗯𝘂𝘀𝘆𝘄𝗼𝗿𝗸, 𝘄𝗵𝗶𝗹𝗲 𝘂𝘀𝗲𝗿𝘀 𝗮𝗽𝗽𝗿𝗼𝘃𝗲 𝗶𝘁.
Emails, meetings, collateral, Sybill drafts the work, all I have to do is review it.

𝟰. 𝗦𝘆𝗯𝗶𝗹𝗹 𝗞𝗻𝗼𝘄𝘀 𝘄𝗵𝗮𝘁’𝘀 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝗱𝗼𝗻𝗲.
Sybill checks off completed tasks for you — so your list actually gets shorter.

If AI is supposed to make work easier, this is how it should feel.

Most sales AI tools are great at surface-level answers. But that’s it.

Ask them “what’s the next step on the Acme deal?” and they’ll find the last email or call note that mentions it.

They’re fine for basic Q&A.

But in sales, they break down fast.

When you ask: “Why did the ACME deal stall?” (like in the video below).

They have no idea.

Because that answer isn’t sitting in one document.

It’s buried across:
→ A call where “Sarah” raised an objection
→ An email from “S. Johnson” a week later (same person)
→ A Slack thread where the rep vented about deal blockers
→ Five other deals that stalled for the same reason

Basic AI (semantic search) can find topics.

But diagnosing sales problems means traversing relationships:

Deal → Person → Feature → Objection → Pattern.

At Sybill, we’ve built an AI that doesn’t just search your data; it understands the relationships inside it.

Big difference. 

🫆 Identity resolution: It knows that “Sarah” = “S. Johnson” = “VP Engineering at Acme.”

🤝 Relationship mapping: It maps who said what, when, and with what tone.

🧠 Multi-hop reasoning: it can answer questions like “Which enterprise deals had champions who left mid-cycle?”

That’s how we’ve from basic searching to context and understanding, whereas our competitors haven’t.

It’s harder to build, but it’s the only way to answer the questions that actually matter in sales.

And if you want proof, I'll give it to you...

What sales questions do you have that your AI can’t answer?

Qualification, deal health, coaching, win/loss analysis, sales real-time strategies... 

Drop it in the comments and let’s put Sybill to the test. 

I'll DM you the output.

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