General Catalyst's Phil Libin leads seed rounds for two more bot companies, Butter.ai and Growbot, and explains why he's investing in the space
My name is Jeremy, cofounder & CEO of Growbot … Jack Hirsch / Butter.ai : 7 Questions Everyone Keeps Asking Us About Our New Company Phil Libin / Medium : Bots Get Serious: My Two New Investments from General Catalyst Ken Yeung / VentureBeat : General Catalyst's Phil Libin invests in 2 more chatbot startups, Growbot and Butter.ai
Context & Ripple Effects
Fresh off planning his step down as Evernote CEO, Phil Libin has made General Catalyst his platform for a personal thesis: software is shifting from apps toward conversational bots. These two seed rounds — Growbot, which gives teams a way to capture kudos and feedback inside chat, and Jack Hirsch's Butter.ai — are his second announced batch of bot investments, alongside a Medium essay arguing "bots get serious".
The bet matters less as two checks than as a signal: a marquee operator-investor publicly anchoring a category while it is still pre-platform. Within a year the thesis outgrew the fund structure entirely, when Libin left General Catalyst for his own AI startup studio, All Turtles, taking several GC-backed bot startups with him as foundation members.
First-order effects
- Growbot and Butter.ai leave stealth with capital, distribution credibility, and a lead investor whose name carries weight with enterprise buyers — an unusual advantage at seed stage.
- Bot founders now have a visible champion inside a major firm, lowering the perceived risk of building on conversational interfaces before any dominant assistant platform has emerged.
Second-order effects
- Other seed investors face pressure to form a view on bots rather than sit out the category, since Libin's public thesis sets the reference point for pricing early conversational-AI rounds.
- Libin's own follow-through — folding his bot portfolio into the All Turtles studio — converts what looked like angel-style conviction into a competing vehicle for the same deal flow General Catalyst seeded.
Third-order effects
- If the pattern holds, individual operator theses keep hardening into institutions: General Catalyst later formalized its appetite with a program committing $25M+ per year across 25–35 seed-stage startups, and by 2024 was leading nine-figure rounds in collaborative robotics — the same human-assistant thesis extended from chat to physical agents.
- The longer arc suggests early-stage AI categories get shaped less by platform owners than by investor-studios that concentrate talent and capital around a single interface bet before the market picks a winner.
The trend: Operator-investors are turning personal interface theses into dedicated studios and firm-level seed programs that shape AI categories ahead of any dominant platform.