RamPrasad "RamP!" Moudgalya

Created a list of around 100 books that had major impact on me over the last two decades. These are also the books that I've re-read several times. buff.ly/2xaaDLd

@darraghcurran @erskingardner @intercom Interesting - RamP!

Aspiring to be for sure. The folks at @ramp are sharing some inspiring views into how they're going for it too: x.com/bleviathan/sta… Part of the motivation here was to hopefully agitate for more folks, peers in the industry to share in realtively comparable terms how they're doing. Often all it takes us squidgey humans is seeing someone else show you that something is possible, that you might not of previously believed, to then be able to go do that thing yourself.

As usual, @intercom is way ahead of the broader market.

Today we're releasing Personal Computer. Personal Computer integrates with the Perplexity Mac App for secure orchestration across your local files, native apps, and browser. We’re rolling this out to all Perplexity Max subscribers and everyone on the waitlist starting today.

Every time you accepted a salary, chose a price, or walked into a negotiation, the other person was running GAME THEORY in their head. You were guessing. This 1-hour Yale lecture by Professor Ben Polak will permanently change how you read people and make decisions. Most MBAs pay $150k to learn this. Yale posted it for free:

@kennetheversole @Scobleizer @sebgoddijn Thanks for the mention. Perhaps you meant someone else.

@Scobleizer @sebgoddijn I keep saying this to everyone but learning harder into developers and what we use to do is not how we get massive adoption. Master class my @ramp

This is what an AI first company looks like.

@ChidubemGo52162 Interesting. I'm indeed coming to Europe, but not by a ship. Perhaps you meant someone else.

Design isn’t decoration. It’s strategy. Swipe to see the difference. The first visual is my redesign. The second is the original post. Same message.Completely different impact. The original design does its job,but it whispers. Mine is built to stop the scroll. @Ramp #Startups

Most people with “AI/ML” in their bios don’t even know what Bayes theorem is.

@august__law Nice - RamP!

August is now a @Ramp partner. Law firms manage some of the most complex work in business, but their back office rarely reflects it. Ramp is a financial operations platform that brings corporate cards, expense management, vendor payments, travel, and bookkeeping into one place. Over 50,000 businesses use it. Their customers close their books 3x faster. August is built so firms can take on more work. Ramp is built so the business behind it runs just as well. Read about our partnership here: ordnl.link/mfHxtMQ

@AriSavitsky Nice idea. Perhaps you should "try" a different ramp.

If I were head of social for @ramp

Instead of watching Netflix for 2 hours, watch this guy explain why some people become successful while others stay average.

This 1 hour Yale lecture will teach you more about game theory than 2 years of MBA program. Replace one movie this weekend with this lecture, then read the article below. That one decision changes more than you think.

This is an absolute masterclass from MIT on how to speak

@mrchill1 @mattkrna @SQComms @Inflec @BlaasR @KCsosa @Wystit Thanks for the mention!

@MediaKing I'm confident that I'm not sending any sales emails. May be you meant someone else.

So it's Yash's fault that we still get sales email from @Ramp (despite already being a customer.)

@nikunj @being_mudit @NotionHQ @brexHQ @harvey @EvidenceOpen @perplexity_ai @conductor_build @Railway @claudeai Thanks for the mention. Perhaps you meant someone else - RamP!

@being_mudit @NotionHQ @RamP @brexHQ @harvey @EvidenceOpen @perplexity_ai @conductor_build @Railway @claudeai Not making the DB open for now, but you can scrape it - it should work.

SOC II is in the news right now for being security theater.. You know what SOC II is *actually* good for? Subprocessor lists. I scraped 417 companies subprocessors to investigate what AI native companies are using for their infrastructure. Introducing DeployGraph dot com 🥞

@NangoHQ @Replit @Mercor Thanks for the mention

More than 10,000 companies have already used Nango. And we’re proud to power integrations for AI leaders like @Replit , @Mercor, and @Ramp. Our platform runs billions of API requests every month, and yet we’re just getting started!

Excited to announce that Nango has raised $7.5M led by @GradientVC , with participation from @HorizonVC and @ycombinator ! nango.dev/blog/nango-rai…

@TheNFTCPA @getdelve @secureframe Nice - RamP! (perhaps you meant someone else).

This morning in a matter of a few min using @ramp we were able to identify all our clients that used @getdelve to highlight what was going on and if they wanted an introduction to @secureframe AI in tax and accounting is great for professionals and clients. #TaxTwitter

Before you spend $2,000 on an AI course, read this. A lot of people are buying expensive AI courses right now. But honestly, most of them don’t need to. Some of the best AI learning resources in the world are already free. And they’re not built by self-proclaimed AI experts online.They’re created by the companies actually building the models, chips, tools, and infrastructure behind this entire AI wave. If you want to learn AI properly, it makes sense to learn directly from the source. But before that, Check out 100+ such resources shared in this community of 200K+ AI/ML Engineers: codenewsletter.ai/subscribe?utm_… Here's a list of 10 free AI learning platforms from industry leaders: 𝟭 - 𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗶𝗰: lnkd.in/e5fK7QUA 𝟮 - 𝗚𝗼𝗼𝗴𝗹𝗲: grow.google/ai 𝟯 - 𝗠𝗲𝘁𝗮: lnkd.in/et6wz-ta 𝟰 - 𝗡𝗩𝗜𝗗𝗜𝗔: lnkd.in/e8aHmFxc (GOATed) 𝟱 - 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁: lnkd.in/ej85NeZc 𝟲 - 𝗢𝗽𝗲𝗻𝗔𝗜: academy.openai.com 𝟳 - 𝗜𝗕𝗠: skillsbuild.org 𝟴 - 𝗔𝗪𝗦: skillbuilder.aws 𝟵 - 𝗗𝗲𝗲𝗽𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴𝗔𝗜: deeplearning.ai 𝟭𝟬 - 𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲: lnkd.in/eajVCrvv If you’re serious about learning AI, the biggest difference usually comes from consistency, not another course.

@financialit_net @BillHop Nice. You probably meant a different ramp.

@Ramp acquires UK & Sweden-based @Billhop, opening London & Stockholm offices to expand B2B payments & spend management across Europe. Read more: financialit.net/news/payments/… #Ramp #Billhop #B2B #FinancialIT

If you're an AI startup in India, renting processing power from the government to train your model costs about $0.7 per hour. The same hardware on Amazon Web Services costs $3.7. On Microsoft Azure, $6.6. The Indian government is subsidizing AI infrastructure at rates that would make most Western startups do a double-take. I read all 26 pages of the white paper this tweet links to. The numbers inside are wild. The IndiaAI Mission has a budget of about $1.2 billion over five years, approved in March 2024. Almost half of that, roughly $500 million, goes straight to building the processing power AI companies need to train their models. The original plan was to deploy 10,000 processors. By December 2025, they had 38,000 running. 3.8x what they promised. A government open call in January 2025 pulled 506 proposals. The four startups picked first were Sarvam AI, Soket AI, Gnani AI, and Gan AI. Eight more were added by September. India now has 12 separate teams building AI models, ranging from tiny ones for basic chatbots to massive ones rivaling those from the US and China. They cover language, voice, vision, medical diagnosis, material science, and even brain-computer interfaces. The one I keep coming back to is Sarvam AI. They raised $41 million from Lightspeed, Peak XV, and Khosla Ventures. In May 2025, they released a model built on top of a French AI system (Mistral Small) and customized for Indian languages. It got roasted online. Critics said it was a foreign model in Indian clothing. So they went back and built Sarvam-105B completely from scratch, using Indian hardware under the government mission. It outperformed China's DeepSeek-R1 on certain tests, even though it was a model six times larger. Both were released for anyone to download and use in March 2026. There's something else buried in the paper I haven't seen another country try at this scale. India is building a copyright system specifically for AI training data. Under a December 2025 government proposal, AI companies can train their models on any copyrighted content they can legally access, books, articles, music, anything. Creators cannot say no. But the moment an AI product makes money, royalties are collected by a centralized government body and distributed back to creators. Singapore allows AI companies to use content without payment. China requires strict consent before training. India is trying a middle path, and publishers are already calling it forced participation. Stanford's AI Vibrancy Index, which measures a country's overall AI strength across research, talent, infrastructure, and investment, ranked India third globally in 2025. Up from seventh in 2023. But the actual scores tell you how far the gap still is: US at 79, China at 37, India at 22. And India's $1.2 billion budget sits next to China's $47.5 billion semiconductor fund and Saudi Arabia's $100 billion Project Transcendence. India is currently spending 40x less than the frontrunners. This white paper is the most detailed public bet yet that smart infrastructure design can close that gap.

@HausAnalytics Nice - RamP!

@RamP Find the full list here: ramp.com/vendors/catego…

Haus just claimed the top spot in the new Marketing Measurement category on @Ramp Rate, which is the company’s public vendor adoption index for SaaS buyers and analysts. Based on real SaaS spend data from 50K+ companies, Ramp Rate highlights how quickly teams are adopting Haus to measure causal marketing impact. We’re proud that more teams trust us to solve their biggest measurement and decision-making challenges. The growth numbers are exciting, but even better are the hard-earned wins, creative solutions, and real partnerships our team and customers are building every day. Check out the full category and data at the link in the replies.