Devansh Tripathi

WIP. Couldn't become a tennis player so chose the next best thing - B2B SaaS

[Devansh Tripathi @devanshtrip]

@vatsal_sanghvi That's why designing beautiful architecture is so important. A lot of things are downstream of good design.

[Devansh Tripathi @devanshtrip]

@realDonaldTrump Peak third worldism

[Devansh Tripathi @devanshtrip]

@gimoxtweets based

[Devansh Tripathi @devanshtrip]

@Indian_Bronson The greatest country in the world past, present, and future

[Nikkitha Shanker @nikkithashanker]

Building something of our own, together.

Gandhi Jayanti spent well 🙏

#theusualSuperBrynshenanigans

@devanshtrip @parthjain_1 @DrNeethuJoy

[Devansh Tripathi @devanshtrip]

@LinusMixson Would an LLM's opinions on anal change as models become aligned ?

[Devansh Tripathi @devanshtrip]

@mshree01i bangladeshi hai wo

[Devansh Tripathi @devanshtrip]

@OfficialLoganK

[Devansh Tripathi @devanshtrip]

@mananjain31 @rapidoapp_ @Uber the frustration behind "you cancel" is palpable

[Devansh Tripathi @devanshtrip]

@Indian_Bronson great rec. thanks

[Devansh Tripathi @devanshtrip]

@flavioAd creepy

[Devansh Tripathi @devanshtrip]

@ShubhAgrawal26 good luck, Shubh.

[Devansh Tripathi @devanshtrip]

@Indian_Bronson Agreed. And I think, if Elon were president of the US, he would probably be building housing at scale

[fundable @fundable_ai]

We tracked raises from 53 agent observability startups this year. 10 you should check out:

@dash0hq - agentic observability ($110M)
@LassoSecurity - agent security ($30M)
@covaldev - voice agent evals ($28M)
@sazabi - AI log observability ($8M)
@orq_ai - agent ops platform ($5.8M)
@FriskAI - agent runtime monitoring ($3.6M)
@modiqoai - reliable agent workflows ($3M)
@OvermindLab - agent supervision ($2.7M)
@lemma_ - agent failure detection ($2.3M)
@SuperBryn_AI - voice agent QA ($1.2M)

A thread...

[Nikkitha Shanker @nikkithashanker]

A lot of you have found me here over the last couple of weeks, so probably a good time to introduce myself properly :)

I'm Nikkitha, co-founder and CEO of @SuperBryn_AI.
We're building the reliability layer for voice agents, and these days I split my time between Bangalore and SF.

A few things on how I got here.

> Was born in Kerala and grew up in the Middle East.

> After graduating, I decided I wanted to become a civil servant and spent 3 years preparing for the UPSC.
(failed pretty miserably, btw 😅)

> During my final year of preparation, I joined a startup, and somewhere along the way, I fell completely in love with the world of startups.

> Eventually started Shoppre, an ecomm cross border tech comapany and grew it to ~$2M in annual revenue.

> Shoppre was profitable and scaling, but I knew I wanted to build in AI.
So I stepped away from operations (the team runs it beautifully on their own) and chose to start from 0 again.

> For almost a year, @DrNeethuJoy and I went through the whole 0→1 mess.

> After a lot of iterating, that became SuperBryn.

> Raised $1.2M from @Kalaari and angels, and today we work with companies around the world on making their voice agents reliable.

> Outside work, I like to dance, make art when I get the time, and give an unreasonable amount of attention to my dog, Django :)

If you're new here, hello 👋

I mostly write (or at least try to) about what I'm learning while building SuperBryn: Voice AI, enterprise AI, startups, customers, and occasionally the strange career decisions that got me here.

[Devansh Tripathi @devanshtrip]

@qquinnsworth ughh

[neutral milf hotel @arjun1123]

Has to be so tiresome when your entire personality is downstream of what SF was into 2 years ago (and therefore, NYC was into 5 years ago)

[Nikkitha Shanker @nikkithashanker]

On Saturday at TGPF, we had almost the whole voice AI stack on one stage 😅

Telephony. Inference. TTS. Evals. And people who’ve actually shipped voice AI across markets.

What surprised me was how quickly a conversation about architecture became a conversation about GTM.

> 0→1 in voice is as much about the network you build as the product you ship.
> Founder-led content, events and partnerships aren’t side projects either. They’re often where land-and-expand starts.
> And then there’s the product economics: every second of a call costs money, infra choices affect margins, and
> what enterprises ask for in a demo isn’t always what they eventually pay for.

My part was on production readiness.

The analogy I keep coming back to is blood work.

You don’t really judge health by how someone looks, do you? You track markers and patterns.

Voice AI needs the same thing across telephony, STT, LLM, TTS and orchestration, tied back to outcomes like resolution, conversion and escalation.

And because these systems are probabilistic, evals can’t be a final checklist.

If you’re building the agent, you’re building the eval harness alongside it.

Otherwise, today’s fix is most likely to become tomorrow’s regression

I really enjoyed being a part of this panel with Suman, Devansh, Sahil, Jagriti 😄

And Swati, Amrit and the TGPF team truly knocked it out of the park with the event 🙌

[Devansh Tripathi @devanshtrip]

everyone is cooked, bro (charred even). welcome to the permanent underclass bro

[Yash Kalwani @WHYkalwani]

garbage post, bullshit satire, L behaviour

absolutely hate this type of engagement farming content on X by the tech community

Shame on us!

People see this and actually believe Timon built it

i have been barely sleeping 4 hours every night for the past two weeks building in threejs, blender, unreal on the 20x plan & detest the fact that this person can make a fake claim call it satire and affect me so much

[Devansh Tripathi @devanshtrip]

@Priyannkaaaa Okay "Priya". Whatever you say