I'm Yash.

Four things I'm building, all live.

At Voltade I put AI agents into real businesses on Volty, from the first call to the day it answers their customers. After hours I build Catchline, an iOS app that tells weightlifters the one thing to fix in their lift, and Ragnarok, the gym OS my CrossFit gym runs on, with Dani. And I run marketing and automation at The Bon Pet, the fresh pet food brand I co-founded. Engineer for five years before any of this.

~35K customer msgs/week on Volty, where I run client deployments
500+ members training on Ragnarok → 4.9/5 · 381+ reviews for The Bon Pet →

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Featured Projects

What I’m building now, plus one I shipped for fun.
Volty

Your AI engineer in a box, on WhatsApp, email and the web. Tell it what your business needs and it builds the automations, mini apps and tables, and answers your customers. Live since June 2026 and built mostly by Carl and Yiyuan. My part: I take client deployments from first call to go-live and build what each one needs. About 40 businesses are live on it, and the inbox went from ~2,000 customer messages a week in August to ~35,000 in October.

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Ragnarok - Ragtag Training

White-label, multi-tenant gym operating system I build with Dani: member app, coach programming, Telegram briefings, MindBody and push. Ragtag, a 500+ member CrossFit gym, runs on it day to day and logs 1,000+ workouts a week; first commit to gym-wide production in seven weeks, now 1,500+ commits and still shipping weekly. No second gym yet.

Focus
0→1 SaaS, multi-tenancy, production migration
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The Bon Pet

Fresh, gently cooked food for cats and dogs, sold online in Singapore. I co-founded it in 2023 and run marketing: 43 n8n workflows for WhatsApp lifecycle and win-back, the email programme, our own Reels, and an ops CLI and dashboards. 4.9/5 from 381+ reviews.

Focus
marketing, automation, retention
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Catchline

An iOS app for weightlifters. Film a side-on rep and it tells you the one thing to fix in your snatch, clean or jerk, and why. Pose estimation and bar tracking find the fault; rules written by coaches pick the cue, not a chatbot. Built solo, live on the App Store since 18 Oct 2026. It started life as Parallax, a couples app nobody used.

App StoreCode
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Start here

Three posts that capture how I think about AI products: where model safety ends and deployment safety begins, the evaluation framework underneath it, and the system behind the headline numbers.
Deployment safety · · 6 min read
Model safety ends where the customer's WhatsApp begins

Model-layer safety is the lab's job. Deployment-layer safety is mine: pointing a safe model at a real customer's WhatsApp without getting burned.

 Evaluation · · 12 min read
How I Evaluate AI Agents (and Why Most Teams Get It Wrong)

Most agent evals measure the wrong things. After running two agents in production for six months, here's the framework I actually use, with real metrics, LLM-as-judge calibration data, and the $300 lesson that started it all.

 0-to-1 at scale · · 5 min read
The system behind 230K interactions a day

The two numbers on my CV, unpacked: what counts as an interaction, which layer the 99.65% is measured at, and the eval, guardrail, and cost subsystems that keep both honest.

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Shipping pace 134 active days in the last 20 weeks
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