Ankur Goyal ✓

@ankrgyl · San Francisco · joined 01 Jul 2010

customer service @braintrust

12 561Followers

702Following

5 266Posts total

327.3KViews on collected posts

Against accounts of the same size

7 posts from the last 90 days, next to the 10K–100K follower range. shown to more people than peers of the same size.

Median views9 577this account3 644median for 10K–100K

Reach, %76.24%this account11.83%median for 10K–100K

Engagement, %1.23%this account1.36%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	9 577	3 644	2.63×
Reach (views ÷ followers)	76.24%	11.83%	6.44×
Engagement rate	1.23%	1.36%	0.90×

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

2.6K31 Aug

285.4K1 Sep

9.6K2 Sep

9.8K

2.6K3 Sep

15.5K

1.8K

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.45%31 Aug

0.43%1 Sep

1.28%2 Sep

1.23%

0.50%3 Sep

0.46%

1.54%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.36%.

What the audience does

Likes78.9%1 343 in total

Reposts7.8%133 in total

Replies5.4%92 in total

Quotes3.2%55 in total

Bookmarks4.7%80 in total

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

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Latest posts

Very excited to ship a major overhaul to Loop. It is now capable of running in the background, finding issues in your traces automatically, and sending you useful alerts. Loop is architected as a single agent which has access to a broad set of tools and skills, all exposed 1.8K views · 19 likes · 5 reposts · 4 replies 03 Sep 2026 Your team deserves more from your agent observability platform - a single, connected place for instrumentation, investigation, and measurement, enhanced with intelligence. In Braintrust, you can start with an open-ended prompt about agent behavior and carry the investigation ht 15.5K views · 43 likes · 9 reposts · 11 replies 03 Sep 2026 > Now, a key question is how we check that the program we get out of the AI is indeed equivalent to the higher level description / numpy ... suffice it to say that testing for semantic equivalence is possible and we do it. This is the most interesting problem in CS right now 2.6K views · 12 likes · 1 reposts · 0 replies 03 Sep 2026 i think the big thing people miss with WASM is the cost of serializing and deserializing across the WASM border almost always outweighs the benefits. You have to find problems that do not have this fundamental problem. 9.8K views · 100 likes · 3 reposts · 16 replies 02 Sep 2026 RBAC and governance can sound boring but present some of the most interesting performance and design challenges when building an enterprise-friendly product. In many cases, governance is the product. 9.6K views · 96 likes · 3 reposts · 21 replies 02 Sep 2026 "openai engineer explains /why/ he didn't need to understand the kernel line by line" 🙃 we're doing compilers 2.0 https://t.co/LAqjaXsnlk 285.4K views · 1K likes · 112 reposts · 34 replies 01 Sep 2026 a lot of evals are moving from "i built an agent, how well does it do" to "i built software, how well can an agent use it?" 2.6K views · 31 likes · 0 reposts · 6 replies 31 Aug 2026