tweetindex

rahul

@rahulgs · NYC · joined 17 Dec 2014

@tryramp CTO

17 164Followers
1 278Following
712Posts total
6.2MViews on collected posts

Against accounts of the same size

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

Median views179 602this account2 578median for 10K–100K
Reach, %1046.39%this account7.77%median for 10K–100K
Engagement, %0.23%this account1.47%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post179 6022 57869.7×
Reach (views ÷ followers)10.5× audience7.77%135×
Engagement rate0.23%1.47%0.16×

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

430.4K1 Jul
179.6K
158.4K7 Jul
17.6K
959.4K20 Jul
4.4M24 Jul
17.1K19 Aug

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

0.16%1 Jul
0.66%
0.23%7 Jul
0.52%
0.14%20 Jul
0.03%24 Jul
1.41%19 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.47%.

What the audience does

Likes64.3%4 534 in total
Reposts4.3%304 in total
Replies4.5%317 in total
Quotes3.5%250 in total
Bookmarks23.4%1 650 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

https://t.co/j5uOZVIy8c 17.1K views · 226 likes · 5 reposts · 11 replies 19 Aug 2026 Grok 4.5 is #1 at processing real-world invoices At Ramp, we tested models on 150k bills submitted by actual businesses, scoring them on whether they predicted every correction a human would make Grok achieved the highest perfect-extraction rate, beating similarly priced models 4.4M views · 1.2K likes · 98 reposts · 120 replies 24 Jul 2026 Every week, the price-intelligence-latency frontier shifts, and we expect this trend to continue Across 100+ use cases in our product, keeping all up to date with the right model is a challenge - Either we're losing out on intelligence for the dollars we spend, or we're https:/ 959.4K views · 1K likes · 71 reposts · 106 replies 20 Jul 2026 now there's nothing stopping you from trying: grok make me a $1 billion dollar b2b saas make one mistake 17.6K views · 85 likes · 0 reposts · 6 replies 07 Jul 2026 Every company used to start with paperwork. The next generation will start with a prompt. Ramp for Agents lets AI agents incorporate your company, apply for Ramp, and get your business ready to spend, pay bills, and manage money. https://t.co/OgjpSDNxyq 158.4K views · 297 likes · 21 reposts · 24 replies 07 Jul 2026 In many ways, finetuning or RLing a custom model is a bet against model progress and scaling. It's to choose to say "we don't think there's going to be a good enough base model for this task anytime soon, so we're not going to wait" with oss release velocity these days, its a 179.6K views · 1.1K likes · 53 reposts · 30 replies 01 Jul 2026 https://t.co/v1tcKZ2PHF 430.4K views · 602 likes · 56 reposts · 20 replies 01 Jul 2026

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