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AI YC interview with Gstack agents

AI specialists that join your Google Meet and gives feedback

Open Source
Developer Tools
Artificial Intelligence
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Hunted byAnand BAnand B

Garry Tan's open-sourced gstack specialists — CEO, CSO, QA Lead, a YC-office-hours partner and 15 more — join your real Google Meet as voice bots with 3D avatars. They open in-persona, take turns, critique your shared screen out loud, and drop notes in chat. Free, MIT, and the brain is your own coding-agent session. Built on AgentCall.

Top comment

Maker here 👋 I built gstack to answer one question: what does a meeting feel like when AI agents are participants, not notetakers? So they join your Google Meet as voice bots. The YC-partner persona opens with "what are you working on, and who actually wants it?" — and honestly it's uncomfortable in the best way. Share your screen and the senior-designer persona scores your page out loud, then posts the points to chat. Three things I care about: 1. Honest open source — the whole platform is MIT (github.com/pattern-ai-labs/gstack-joins-meeting), and the personas are Garry Tan's, credited and MIT. 2. The "brain" is YOUR coding-agent session (Claude Code / Cursor / Codex) on your own laptop — no audio or files leave your machine, just transcripts, only for calls you start. 3. gstack is really a demo of AgentCall (agentcall.dev) — the API that lets any agent take a seat in a meeting. If you build agents, you can put yours in a call too. Try it free, no card: gstack-meeting.com. I'll be here all day — would love your feedback.

Comment highlights

The local brain running on your own machine is the detail that actually matters here — most meeting AI tools quietly route everything through their infrastructure and call it 'private.' The open MIT license on the personas is a nice architectural choice too. The part I'd dig into as a developer is the AgentCall API: when I bring my own agent into a call, does it receive raw transcript chunks in real time, or does gstack buffer and parse before the agent sees anything? The latency and chunk boundary design determines whether a custom agent can stay coherent during a fast conversation.

Having agents critique a shared screen in real time is a strong idea. Can each persona retain context across multiple meetings, or does every call start fresh?

Cool stuff 🚀, Don't know how you pulled this off but getting gstack agents to join meetings is like a major upgrade to @garrytan 's gstack. Even though i was stuck in the shared queue for some moment, i still had it running using my own claude code as brain, Had a call with the gstack CEO and I'm already loving it. 😄

Hey all 👋

Quick update: we’re seeing heavy usage and the shared brain pool is currently at capacity.

For now, please clone the repo, create your own brain, and run it locally.

Also, this is a self-learning agent. If you run into problems, just ask it to resolve them and it will work on fixing them.

About AI YC interview with Gstack agents on Product Hunt

AI specialists that join your Google Meet and gives feedback

AI YC interview with Gstack agents launched on Product Hunt on July 27th, 2026 and earned 114 upvotes and 7 comments, placing #10 on the daily leaderboard. Garry Tan's open-sourced gstack specialists — CEO, CSO, QA Lead, a YC-office-hours partner and 15 more — join your real Google Meet as voice bots with 3D avatars. They open in-persona, take turns, critique your shared screen out loud, and drop notes in chat. Free, MIT, and the brain is your own coding-agent session. Built on AgentCall.

AI YC interview with Gstack agents was featured in Open Source (68.6k followers), Developer Tools (516.5k followers), Artificial Intelligence (474.6k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 226.7k products, making this a competitive space to launch in.

Who hunted AI YC interview with Gstack agents ?

AI YC interview with Gstack agents was hunted by Anand B. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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