Sudarshan Kamath ✓

@kamath_sutra · Palo Alto, CA · joined 10 Jan 2016

Building https://t.co/CwCpxzKtgM | Trying to do non-trivial things, maybe solve Death | 🌍 citizen

22 264Followers

3 691Following

4 340Posts total

192.4KViews on collected posts

Latest posts

Sudarshan Kamath ✓@kamath_sutra10 Sep

Devansh, your voice agent has already replaced you in standups 13.7K views · 98 likes · 1 reposts · 4 replies Open on X →

Sudarshan Kamath ✓@kamath_sutra10 Sep

Never have I regretted being in SF more than this. Thank you to Mr. @bomanirani for being a part of the evening. 1.6K views · 24 likes · 0 reposts · 0 replies Open on X →

Sudarshan Kamath ✓@kamath_sutra8 Sep

Did we solve the Navier Stokes Equation @grok ? 8.5K views · 39 likes · 0 reposts · 4 replies Open on X →

Sudarshan Kamath ✓@kamath_sutra4 Sep

Your customers aren’t going to change how they speak for your STT model. The model has to adapt to them. This is exactly why we’ve put so much work into accent coverage with Pulse. And the benchmark shows it. We’re the best one out there. 1.5K views · 18 likes · 0 reposts · 0 replies Open on X →

Sudarshan Kamath ✓@kamath_sutra4 Sep

World’s best STT for your accents. Every caller has their own accent. Most STT models weren’t built to handle all of them equally well. Real callers don’t speak like training data. They speak Scouse. AAVE. Indian English. Nigerian English. Glasgow. Lagos. Chennai. Birmingham. h

2.4K views · 28 likes · 3 reposts · 13 replies Open on X →

Sudarshan Kamath ✓@kamath_sutra31 Jul

@kamath_sutra Congratulations Sudarshan! Has been a pleasure partnering with Smallest; thanks for having us on the journey with you. Fantastic to see the progress since 2023; incredible to see how you folks have opened up the US market 728 views · 11 likes · 0 reposts · 0 replies Open on X →

Sudarshan Kamath ✓@kamath_sutra31 Jul

Voice is becoming the primary interface between humans and machines, and @smallest_AI has powered over 1B minutes of real-time voice AI across 10+ enterprises. This capital allows us to accelerate our momentum across models, real-time infrastructure, and enterprise deployments. 2.7K views · 21 likes · 0 reposts · 1 replies Open on X →

Sudarshan Kamath ✓@kamath_sutra31 Jul

Today we work with organizations managing large-scale voice operations, including @RingCentral, @GoReadyMode, @Heypocket, @Truecaller, Piramal Finance, KOGTA FINANCIAL (INDIA) LIMITED, CredResolve and many others, all running on the @smallest_AI stack. A huge thank you to our 2.3K views · 26 likes · 0 reposts · 0 replies Open on X →

Sudarshan Kamath ✓@kamath_sutra31 Jul

The round was led by Seligman Ventures, with participation from @Sierra_Ventures and @3one4Capital. We also welcome new angels and investors such as @gokulr, @PickensAllison, @rauchg, @azavery, @jthandy, @dok2001, @forwarddeploy, @neon_fund and many more to partner with us in 3.8K views · 37 likes · 3 reposts · 2 replies Open on X →

Sudarshan Kamath ✓@kamath_sutra31 Jul

We have passed the Turing test for Voice AI and raised $13M in Series A funding to bring the next generation of Voice to enterprises. https://t.co/lm131dT5ib

0:13

155.2K views · 1.2K likes · 54 reposts · 177 replies Open on X →

Against accounts of the same size

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

Median views2 526this account924median for 10K–100K

Reach, %11.35%this account3.62%median for 10K–100K

Engagement, %1.12%this account1.52%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	2 526	924	2.73×
Reach (views ÷ followers)	11.35%	3.62%	3.13×
Engagement rate	1.12%	1.52%	0.74×

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

155.2K31 Jul

3.8K

2.3K

2.7K

728

2.4K4 Sep

1.5K

8.5K8 Sep

1.6K10 Sep

13.7K

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.93%31 Jul

1.10%

1.14%

0.82%

1.51%

1.87%4 Sep

1.18%

0.51%8 Sep

1.51%10 Sep

0.75%

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

What the audience does

Likes76.1%1 519 in total

Reposts3.1%61 in total

Replies10.1%201 in total

Bookmarks10.8%215 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

Against accounts of the same size

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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