tweetindex
EN

Chintan Turakhia ✓

@chintanturakhia · San Francisco, CA · joined 14 Oct 2009

Building products & systems that build them | @coinbase wallet + AI systems | ex-@uber @qualcomm | Wine, pizza, bikes

12 195Followers
2 428Following
6 240Posts total
382KViews on collected posts

Latest posts

Every enterprise will eventually train domain specific models, and do their own inference with open weight models. I can’t see a future where companies willingly give up IP and shovel money to the labs for the majority of their workloads. 1.9K views · 16 likes · 1 reposts · 8 replies Open on X →
M5 ultra is a steal, especially with apple’s lease option 2.4K views · 15 likes · 0 reposts · 3 replies Open on X →
You get inference. And you get inference. And everybody’s gonna get inference. https://t.co/yEi7oZZj64 2.2K views · 11 likes · 0 reposts · 3 replies Open on X →
@clairevo is truly one of a kind. Love to see people having fun while building and starting new ventures. This will crush. 1.1K views · 11 likes · 1 reposts · 0 replies Open on X →
We compared the M5 Ultra Mac Studio 512GB with 4x DGX Spark and 4x AMD Ryzen AI Halo The prices are relatively the same ($15-20k), but the trade-offs are noticeable Compute (prompt processing speed) - Mac: one chip, all the compute is always usable. Quick on normal prompts, htt 121.5K views · 786 likes · 78 reposts · 73 replies Open on X →
Context: this is 5% of all PRs merged for the whole company. @coinbase 8.5K views · 30 likes · 1 reposts · 2 replies Open on X →
@chintanturakhia 📈 2.4K views · 35 likes · 1 reposts · 4 replies Open on X →
We hit a real milestone today. 5% of all PRs merged now come from our in-house background agents. Last year we built an agentic harness: a Slack-native framework with the same tools and context as our engineers. Tag the agent in any thread → it plans, debugs, and ships a PR. h 242K views · 407 likes · 17 reposts · 71 replies Open on X →

Against accounts of the same size

5 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views2 198this account924median for 10K–100K
Reach, %18.02%this account3.62%median for 10K–100K
Engagement, %0.79%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post2 1989242.38×
Reach (views ÷ followers)18.02%3.62%4.98×
Engagement rate0.79%1.52%0.52×

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

242K6 Feb
2.4K
8.5K7 Feb
121.5K25 Aug
1.1K
2.2K26 Aug
2.4K
1.9K27 Aug

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.21%6 Feb
1.68%
0.39%7 Feb
0.79%25 Aug
1.04%
0.64%26 Aug
0.75%
1.35%27 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes71.9%1 311 in total
Reposts5.4%99 in total
Replies9.0%164 in total
Quotes2.2%40 in total
Bookmarks11.5%209 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.

Similar accounts