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Garry Tan ✓

@garrytan · San Francisco, CA · joined 02 Jan 2008

President & CEO @ycombinator —Founder @garryslist—Creator of GStack & GBrain—designer/engineer who helps founders—SF Dem accelerating the boom loop

1 117 321Followers
5 966Following
75 654Posts total
22.7MViews on collected posts

Latest posts

The ceiling on what we can do is so much higher now! 48.8K views · 219 likes · 14 reposts · 40 replies Open on X →
Quite frankly one of the most cracked team of product engineers in SF today 50.1K views · 252 likes · 8 reposts · 16 replies Open on X →
we're hiring engineers of @AsideAI $160k-300k + significant equity, in-person SF we're growing crazy fast (25% WoW) and now building v2 join us if you wanna build the harness from the ground up (memory, computer use, compaction, agent loop) and compete with frontier labs 84.1K views · 502 likes · 27 reposts · 54 replies Open on X →
I've intellectually known that software engineering was going to go away but it's just started to feel real. The little dopamine rushes — learning a language, reconfiguring keybindings, upgrading packages or pushing around code on a page to make it easier to read — fade in the 108.1K views · 1.2K likes · 70 reposts · 69 replies Open on X →
Capy (@capydotai) lets me drop PRs much much faster than I would with Codex or Claude Code alone https://t.co/s6xeWJahvJ
36.1K views · 138 likes · 11 reposts · 37 replies Open on X →
If you're working on something cool, GStack does actually tell you to apply to YC :-) 60.9K views · 321 likes · 6 reposts · 34 replies Open on X →
If you really think about it Cluely as a realtime thought helper and semi-adversarial assistant with ongoing context is still a good idea 106.2K views · 392 likes · 8 reposts · 65 replies Open on X →
Very useful insight from a portfolio founder: VCs are using Granola and feeding notes into a poorly prompted version of Claude to evaluate and pick apart what founders are saying mid-pitch. The frustrating thing is that AI tends toward groupthink...so "trends" on the internet 234.4K views · 401 likes · 20 reposts · 55 replies Open on X →
Not really sure how @capydotai does it, but it really is able to track multi-step workflow and do large PRs faster than Codex or Claude Code on its own. My most favorite new agentic coding secret weapon in my arsenal the last week. 84K views · 425 likes · 23 reposts · 66 replies Open on X →
I mean the data center panic is absurd and unnecessary but I can’t argue with the outcome if true 59.4K views · 222 likes · 7 reposts · 38 replies Open on X →
They’re gonna “Art of the Deal” this thing. 1. Propose enormous data center 2. Public erupts in opposition 3. Propose massive housing development instead 4. Public applauds and thanks the developers for listening (housing was the plan all along) https://t.co/kdDV5P6dMP
175.9K views · 1.6K likes · 36 reposts · 36 replies Open on X →
Damn! @garrytan, I was not aware of your game. This is so cool. Codex was invoking gstack skills and somewhere in trenches, I get this message in my stream. https://t.co/cAxqAOpRMZ
81.4K views · 172 likes · 4 reposts · 6 replies Open on X →
Stop racial discrimination in the University of California system 43.5K views · 458 likes · 30 reposts · 13 replies Open on X →
Memorable found a way to optimize memory with embeddings instead of more tokens which is a powerful new way to do memory 121K views · 822 likes · 34 reposts · 70 replies Open on X →
Introducing Memorable (YC S27): PROCEDURAL MEMORY FOR AI AGENTS AI agents today are born, work, and die inside a single context window. They solve a hard problem once, then start from zero when it returns. Memorable turns successful runs into a graph of reusable https://t.
0:55
299.5K views · 810 likes · 37 reposts · 94 replies Open on X →
Read more about the UC's 30-year quest to defy bans on racial discrimination: https://t.co/sMSsap5R9F 44.4K views · 56 likes · 4 reposts · 0 replies Open on X →
Be careful what you wish for This is why we need alignment to humankind vs any other goal 38.9K views · 167 likes · 11 reposts · 48 replies Open on X →
The future is already here We just have to choose it and spread it faster 171.8K views · 1.4K likes · 77 reposts · 64 replies Open on X →
I think every AI harness needs to support Tailscale Muse and Grok Bot do it out of box Codex and Claude Code cloud containers are missing this right now 129.4K views · 1.1K likes · 52 reposts · 135 replies Open on X →
This is why I think “we’ll just get ASI and tell the AI to solve climate change for us” is the most likely way a Real Paperclip Maximizer scenario manifests: the AI concludes that human civilization is the main cause of climate change and deletes it. https://t.co/KeVlE893Nz
116.5K views · 897 likes · 70 reposts · 116 replies Open on X →
Excited to speak at @Supabase Select in conversation with the amazing @kiwicopple about building startups in the time of AI Register for the event and join me: https://t.co/jNY2QcB6cU 23.1K views · 113 likes · 10 reposts · 26 replies Open on X →
Can we all just pause for a sec and reflect on how fucking important Tailscale is, and how nobody ever talks about them? I don't think I've ever seen a more useful service with a more invisible corporate footprint. 548.7K views · 5.3K likes · 229 reposts · 269 replies Open on X →
I can use any harness I want and it's the same personality and full memory of my personal AGI 67.4K views · 582 likes · 17 reposts · 63 replies Open on X →
It’s beautiful how I use @Muse and @NousResearch Hermes simultaneously, and I legit lose ZERO context because they are connected to one brain. One Gbrain. @garrytan gbrain truly underrated. 71.9K views · 93 likes · 2 reposts · 8 replies Open on X →
I think Muse is going to win tbh 300.8K views · 2.4K likes · 84 reposts · 178 replies Open on X →
the amount of deeply personal, & actually actionable ai training data fb is likely generating right now through muse is likely insane. even if peripheral. stuff like what ppl see, want, ask, choose, buy, ignore, & act on. esp through the connectors. it’s basically onavo built in 385.7K views · 1.5K likes · 52 reposts · 48 replies Open on X →
I just started using @capydotai with GStack/GBrain on some fix waves on outstanding issues/PRs and it did what would have taken a day with raw Codex/Claude Code in about half as much time, using the same frontier models. I'm amazed. 54.2K views · 339 likes · 29 reposts · 56 replies Open on X →
Interesting to realize this peptides boom didn't start in SF but rather the midwest in bodybuilding subcultures I recently started using peptides with @Ronan_RX and I've lost 18 lbs in two months! 80.4K views · 217 likes · 6 reposts · 35 replies Open on X →
I think @AsideAI AI browser/harness is one of the most powerful consumer AI tools you could possibly use with your agents, wherever they are Aside MCP exposes deep browser use tools with credentials that make any agent much more powerful https://t.co/FTjv7vqBIe
48.8K views · 448 likes · 29 reposts · 81 replies Open on X →
The content about startups we do is merely the teaser for the specific advice we give 1:1 when you actually are a YC startup 55.7K views · 316 likes · 10 reposts · 54 replies Open on X →

Against accounts of the same size

63 posts from the last 90 days, next to the 1M–10M follower range. shown to more people than peers of the same size.

Median views67 394this account14 648median for 1M–10M
Reach, %6.03%this account0.74%median for 1M–10M
Engagement, %0.64%this account0.70%median for 1M–10M
MetricThis accountMedian for 1M–10MRatio
Median views per post67 39414 6484.60×
Reach (views ÷ followers)6.03%0.74%8.15×
Engagement rate0.64%0.70%0.92×

Others in this range →   Compare with another account →   How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

121K17 Sep
43.5K19 Sep
81.4K20 Sep
175.9K21 Sep
59.4K
84K
234.4K22 Sep
106.2K
60.9K
36.1K
108.1K23 Sep
84.1K
50.1K
48.8K

Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.77%17 Sep
1.15%19 Sep
0.23%20 Sep
0.94%21 Sep
0.45%
0.62%
0.22%22 Sep
0.44%
0.60%
0.53%
1.24%23 Sep
0.70%
0.55%
0.57%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 1M–10M accounts is 0.70%.

What the audience does

Likes67.9%22 823 in total
Reposts3.0%1 017 in total
Replies5.6%1 874 in total
Quotes1.1%371 in total
Bookmarks22.4%7 512 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

Followers by day

22 Sep

Daily snapshots since 22 Sep 2026; the dashed line is the starting count.

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