M. Mohan
LinkedIn Copy
Hey Mohan — similar PE background, been deep in digital business origination thinking lately. Would be good to connect.
Hey Mohan, see we share a similar PE path, though I was in London doing growth equity not acquiring digital businesses like Vangal. most funds I talk to have a database — PitchBook or Grata — maybe a CRM, and then the origination setup is mostly Excel and email from there. but proprietary deal flow still feels thin. thesis, network, and intelligence never sync into one system — so origination resets every cycle instead of compounding. do you disagree? — Russ
Hey Mohan, see we share a similar PE path, though I was in London doing growth equity not acquiring digital businesses like Vangal. most funds I talk to have a database — PitchBook or Grata — maybe a CRM, and then the origination setup is mostly Excel and email from there. but proprietary deal flow still feels thin. thesis, network, and intelligence never sync into one system — so origination resets every cycle instead of compounding. do you disagree? — Russ
hey Mohan — this kept rattling around. when I was doing growth equity we had every subscription going — PitchBook, CRM, enrichment tools, the lot — and I still spent half my time manually pulling origination together across all of it. always wondered if that was just us being disorganised or if it's genuinely universal. did you ever run into that at Vangal, or was it just us? — Russ
hey Mohan — appreciate the connect either way. I'm in and around digital business origination all day — if you ever want to swap notes on what's working, I'm easy to find. — Russ
Email Copy
Hey Mohan, similar background — though I was doing European growth equity not acquiring and building digital businesses like Vangal. the typical origination setup I see is a data subscription, a CRM that's half-populated, and a lot of Excel and Outlook doing the heavy lifting. yet the off-market pipeline stays weirdly thin. the intelligence is all there but it's scattered across tools and inboxes — so nothing compounds into a real origination edge. do you disagree? Russell searchloop.ai linkedin.com/in/russellt23
Hey Mohan, something I keep coming back to with digital business funds. most funds I talk to are still 70-80% broker-dependent for deal flow. works fine until two funds get shown the same deal and it becomes a pricing war. the proprietary pipeline is the thing that's supposed to prevent that — but it rarely gets built systematically. curious whether Vangal has cracked that or if it's the same pattern. Russell searchloop.ai linkedin.com/in/russellt23
hey Mohan — one more thought on this. at my old fund we had a solid stack and smart people, and origination still felt like it restarted from scratch every cycle. took me a while to realise it wasn't a people problem — the tools just didn't talk to each other. did you ever run into that at Vangal, or was it just us? Russell searchloop.ai linkedin.com/in/russellt23
hey Mohan — one thing I keep coming back to from my time doing growth equity — the funds with real proprietary pipelines aren't just seeing more deals. they're seeing them earlier. that changes everything downstream — pricing, competition, conviction. curious if you've been thinking about this at Vangal. Russell searchloop.ai linkedin.com/in/russellt23
hey Mohan — appreciate you reading these either way. spend most of my time thinking about origination infrastructure for funds — if that ever becomes a thing worth talking about, I'm around. Russell searchloop.ai linkedin.com/in/russellt23
Prospect Research
## PROSPECT INFORMATION: Name: M. Mohan Title: Managing Director Fund: Vangal Background: Name: M Mohan Location: Greater Seattle Area Headline: Private Equity Investor PE & VC at Vangal Inc. | Ex-Amazon, Microsoft, Cisco, and HP | 2 Startup Exits (1 Acquisition, 1 IPO) Current Focus: Mohan is currently the Managing General Partner at Vangal Inc., a micro private equity fund that acquires and grows digital businesses. He is a highly active investor and advisor in the AI and software space, with current stakes or board roles in HelpViber, Station Draft, Zigantic, iCustomer, and Zalarma. He is also a published author of the book "Why Similar People End Up Very Differently." Background: He is an experienced product and engineering executive with a deep pedigree in Big Tech. His past roles include CTO and Head of Sales at BuildDirect Technologies (which he led to an IPO in 2022), Director of Product Management at Amazon (Amazon Business), and Director of Engineering and Ventures at Microsoft. He was the Founder and CEO of BuzzGain Inc., which was acquired by Meltwater in 2010. His early career included engineering and marketing leadership at Inovis, HP, and Cisco. Key Skills: Private Equity & Venture Capital, Enterprise Software, eCommerce, AI/LLM Implementation, Go-to-Market Strategy, Sales Operations, Technical Leadership (Product & Engineering), and Digital Strategy. Notable LinkedIn Posts: March 14, 2026: Discussing fragility in success, he wrote: "Most people who 'did everything right' weren’t undone by mistakes. They were undone by fragility during one bad year." February 18, 2026: A humorous take on AI agents used for personal tasks: "We now have multi-billion dollar AI infrastructure… GPUs humming… so I can get a text that says: 'Bro. Drink water.' Peak civilization." February 16, 2026: Analyzing the AI talent gap between China and India: "India has application talent. Builders. Engineers who can ship product at insane velocity. China has frontier talent. Researchers. People training base models." February 12, 2026: On SaaS margins in the AI era: "Now intelligence is a utility... AI isn’t destroying margins. It’s exposing which ones were real." February 11, 2026: On the automation of coding: "It is very likely if you are a programmer or software developer your job is goig to be automated in less than a year... What can be done by 10 coders can now be done by 1." February 2, 2026: A detailed capital allocation analysis predicting large-scale layoffs: "Headcount isn’t being cut because tech demand collapsed. It’s being cut because AI capex has to be paid for — and payroll is the shock absorber." January 30, 2026: Discussing autonomous AI agents: "These aren’t chatbots trapped in a prompt box. Some of these agents have access to bank accounts, crypto wallets, Slack, email—the real world... We didn’t stop being the smartest species overnight. We stopped being the only one that counts." Fund details: - Description: Vangal is a holding company. We buy and invest in digital businesses and build them to last. - Website: https://vangal.com - Location: Bellevue, Washington, United States - Lead qualification: Research: - Query: =Vangal M. Mohan recent investments fund thesis - Answer: Vangal M. Mohan recently discussed big tech's significant investment in AI infrastructure and the expected layoffs to fund these expenditures. He highlighted the capital allocation problem and the need for cost cuts.