Chetan Puttagunta

Chetan Puttagunta is General Partner at Benchmark — joined in July 2018 when Bill Gurley personally announced his partnership, and sits on the board of Elastic as Chairman.

Chetan joined Benchmark in July 2018 as its newest General Partner — Bill Gurley announced the hire personally on his Above the Crowd blog, a signal of how deliberate the addition was. Before Benchmark he spent years at New Enterprise Associates as a General Partner, building his thesis around developer tools and open source; before VC he did technology M&A at Houlihan Lokey and leveraged buyout work at H.I.G. Capital. He graduated from Stanford with a B.S. in Electrical Engineering in 2007, and did algorithm research at Stanford's STARlab during his undergrad — a technical foundation that shows up in his investment conviction around infrastructure and developer platforms. His board seats trace the through-line: Elastic (where he's Chairman), LangChain, Airbyte, Modern Treasury, Levelpath, and formerly Manus, Scout, and Acquia — all developer-facing or data infrastructure plays. He speaks widely — SaaStr, Slush, Acquired, Invest Like the Best, Colossus — and his core public themes are AI investing, open-source software as a developer go-to-market motion, and the capital and compute dynamics shaping AI scaling. Possibly — his Stanford EE and algorithm research background makes him more technically fluent in infrastructure bets than most generalist VCs.

Chetan sits alongside Peter Fenton, Victor Lazarte, Eric Vishria, Miles Grimshaw, and Sarah Tavel as General Partners at Benchmark — a small, flat partnership where every GP carries equal weight and brand. His most visible external relationship is with Bill Gurley, who publicly championed his addition to the firm. On the portfolio side, his closest recurring engagement is with Modern Treasury, where he board-members and spoke at their Transfer 2024 conference.

  • Long tenure at Benchmark since July 2018, spanning multiple market cycles → likely thinks in multi-year conviction arcs, not reactive trend-chasing.
  • Career path from EE at Stanford → algorithm research → tech M&A → LBO → VC GP → Benchmark GP shows deliberate, ladder-by-ladder progression → probably values structured diligence and pattern-matching over intuition alone.
  • Board Chairman at Elastic and board member at multiple developer-infrastructure companies (LangChain, Airbyte, Modern Treasury) → comfortable operating at the intersection of technical depth and enterprise go-to-market.
  • Active across a wide podcast and conference circuit (Acquired, Invest Like the Best, Colossus, SaaStr, Slush) → highly comfortable being public and articulate; expects interlocutors who've done the reading.
  • Recurring public theme of 'go slow to go fast' (Invest Like the Best episode title) → likely skeptical of growth-at-all-costs pitches; rewards founders who can articulate compounding durability.
  • Possibly — Stanford algorithm research background and consistent open-source investing thesis suggest he tests technical claims himself rather than deferring entirely to founder narratives.

Conversation tips

  • Come in with a specific view on open-source as a distribution motion — he's been articulating this thesis since his NEA days (SaaStr Podcast #171: 'Why Open Source Is The Only Way To Get In Front of Today's Developers') and will probe whether you've thought it through.
  • Reference a specific portfolio company he boards — Elastic, LangChain, Airbyte, or Modern Treasury — with a concrete observation, not a compliment. He'll notice the specificity.
  • On AI, don't lead with scaling hype — his Colossus/Invest Like the Best episode on 'Capital, Compute & AI Scaling' shows he engages at the infrastructure economics level, not the product surface.
  • Ask about his view on the 'go slow to go fast' framing — it's a named conviction, and he'll have texture on where founders get that wrong.
  • Don't treat the technical background as incidental — the Stanford EE and STARlab work are part of his identity; he will engage more deeply if you can meet him on the infrastructure layer.
  • Open on his Elastic chairmanship — Elastic went public as an open-source company and he's been Chairman through that arc; it's the clearest embodiment of his open-source-to-enterprise thesis and a point of evident pride.
  • Reference the Acquired podcast appearance on Star Wars: The Rise of Skywalker — it's an unusual detour for a serious infrastructure investor and signals he's worth knowing beyond the VC script; it also shows you've done more than skim his LinkedIn.
  • Lead with the Starcloud board seat — he joined the board of a company that raised a $170M Series A for space-based data centers, a pointed infrastructure bet that extends his compute thesis into a new physical layer.
  1. Your SaaStr talk argued open source was the only way to reach developers — how has that thesis held up as AI-native developer tooling (LangChain, etc.) changes how developers actually discover and adopt infrastructure?
  2. You've described a 'go slow to go fast' philosophy — where do you most often see founders misapply that framing, either by mistaking slowness for rigor or speed for recklessness?
  3. With Elastic as Chairman and now LangChain and Airbyte on the board, you've backed the full data pipeline from storage to search to orchestration — is that a deliberate portfolio construction thesis or did the conviction arrive company by company?

Don't pitch him on a company or trend without a technical thesis underneath it — his EE background and algorithm research mean he will push past the product narrative to the infrastructure assumptions, and generic AI enthusiasm without compute or distribution specifics will land flat.

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Generated by briefthecall.com from public web sources on July 6, 2026. Each claim is linked to its source above.

Automatically generated by AI from public sources. May be inaccurate or out of date. Remove or correct this profile →