One of the top sales & marketing startup advisors in the world. One of the few who has personally both sold $30M+ for startups and managed even more in marketing budgets hands-on. De facto sales ops manager for HubSpot and Salesforce, Google Analytics/Google Tag Manager expert, outbound automation guru. I have both inbound and outbound GTM covered for you.

Formerly Head of Sales for MightyHive, helping it scale from 10 to 150 employees and a $150M acquisition by S4 Capital, personally contributing $20M in sales closing over 300 customers including 12 Fortune 500 firms such as Goldman Sachs, Symantec, US Bank, Nationwide, and Caterpillar. 

Early employee at TalentBin, acquired by Monster.com, and founder of Omnihours, a graduate of Alchemist Accelerator.

Advisor for 7 of the world's top startup accelerators such as Stanford's StartX, Berkeley's SkyDeck, TechStars, and Alchemist Accelerator.

Investor in 30+ & advisor in 15+ startups such as SecurityPal AI, Pareto AI, QuSecure & Amber Bio. 

CEO at Stackmatix where we have scaled over 200 startups via Ads and SEO, including 5 now unicorns (Figma, Kalshi, Spring Health, Invisible Technologies and Eve).

2 startup exits as early employee (MightyHive and TalentBin). 2nd time Founder. Featured on Forbes Next1000.

Matt Pru

Nishit Asnani

Co-founder at Sybill | Generative AI for Sales

"I have a personal sales assistant, 
it's quick, helpful, and patient. 
It keeps me on top of my deals and on prospects' minds
The best ways to follow-up and forecast it finds." 

I am a founder of Sybill (https://www.sybill.ai), and I like to do some poetry every now and then. People say that great tech is like magic. I believe it's more like poetry - once you see its beauty, you can't take your mind off it. 

We are building a JARVIS for sales teams (remember Iron Man?). Sybill generates accurate and absurdly human-like summaries of sales calls and pushes them directly to Salesforce, Hubspot and Slack. 

It's a marriage between Behavior AI (reading body language on video calls) and Generative AI. And it helps sales reps save time, follow up precisely, avoid admin work, and improve themselves and their pitch over time. It's a true sales assistant. 

Check us out!

Co-founder

Sybill generates accurate and absurdly human-like summaries for sales calls and pushes them into systems where work happens - email, Slack, and CRM. 
 - Save rep time on meeting follow up by 3x
 - Give Sales Leadership signal into call outcome so they can help win a deal (+win rates)
 - Keep CRM clean with perfect call notes
 - Forecast with more accuracy due to better closing call signals
 - Manage territory churn with efficient handoffs (reduced ramp time)
 Check us out at https://www.sybill.ai/magic-summary

Sales AI doesn’t fail because models are weak. It fails because context is fragmented.

Even when context is brought together (RAG or MCP), it's impossible to engineer it in the right way for practical sales use cases. 

Context graphs solve this. 
Connecting people to companies, opportunities, and explicitly modeling and updating their relationships. 

Context graphs change the unit of intelligence from “one deal” to “the entire organization’s learning.”

This post breaks down what that actually means, why common approaches fail, and what we’ve learned building one used daily by thousands of sellers.

Nishit Asnani (Hiring Founding AEs)

Co-founder and Chief Account Executive at Sybill | Building your CRO’s right hand guy

Jaya Gupta and Ashu Garg from Foundation Capital called context graphs a trillion-dollar opportunity - systems that capture decision traces, not just 

Open article: What Thousands of Sellers Taught Us About Context Graphs by Nishit Asnani (Hiring Founding AEs) • 7 min read

What Thousands of Sellers Taught Us About Context Graphs

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Nishit Asnani's LinkedIn Performance

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