Anshul Gupta is the co-🏷️#founder of Actively, a GTM superintelligence platform for revenue teams. A former Stanford AI researcher who worked in the field during the early OpenAI days, he applied that background to sales and marketing, arguing that while tools like Cursor and Claude Code have materially increased coding efficiency, 📝go-to-market lags behind because of the nuance and complexity of each business. He holds BS and MS degrees from Stanford University and has prior experience spanning the U.S. Department of the Treasury, the Federal Reserve System, and Microsoft.
Actively positions itself as the brain and connective tissue for the data that sales and marketing teams generate, combining first-, second-, and third-party signals into a single context window per account so businesses can prioritize accounts and craft relevant messaging. Anshul frames the core failure mode as the "horseless carriage" problem — bolting AI onto legacy systems instead of rebuilding the motion. His prescription is to start from the question "if we had one AE per account, how would they approach the role?" and build a cognitive architecture that mirrors the best reps. He rejects the "garbage in, garbage out" defeatism around data hygiene, noting that if reps work the data daily, AI can improve its impact. He argues the right org structure for AI transformation brings top internal people together across 📝RevOps, AI, and 📝SDR plus marketing, and that there is no single account-prioritization framework — bottoms-up and tops-down can be equally viable. Actively is backed by TCV, First Harmonic, and Bain Capital Ventures.
I had Anshul on to find GTM superintelligence with him — the framing I keep coming back to is treating the account as the unit you track, store, and iterate context on.