co-founder @daridotdev // prev @ycombinator, @caltech, basketball data @lakers, software @uber, startups
Fremont, CA
Joined April 2018
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- Following693
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Avyay Varadarajan retweeted
One of the most high leverage ways academia can contribute to AI progress is through the development of high quality benchmarks.
University labs getting priced out of AI evals is not a future we should be willing to accept as a field.
Prediction: universities will get priced out of AI evals work
We just spent $50k yesterday benchmarking 40 long horizon coding tasks
As we design harder tasks for agents, trajectories are getting longer and need more tokens. That means substantially more inference and compute. How is this economically feasible for academics working off university grants?
Avyay Varadarajan retweeted
Today, we're launching Fabriq Developer.
Over 500 integrations for your AI app, added in one prompt.
Slack, Gmail, HubSpot, Linear, GitHub, Salesforce... your users connect their own accounts, your agent acts through their connection with only the scopes they approved, and we handle the OAuth, tokens, refresh, revocation and audit log.
No OAuth code on your side. Free to start.
Avyay Varadarajan retweeted
Today we’re launching Keythorn.
AI isn’t just thinking anymore. It’s moving money, talking to customers, and taking action. Every new agent brings new risk.
The future runs on AI. We’re building the insurance for it.
Meet @TryKeythorn ↓
Avyay Varadarajan retweeted
Today we're launching
> the world's fastest TTS endpoint at 50 ms time-to-first-audio (TTFA)
> the world's cheapest modern TTS endpoint at $5 / 1M characters
Powered by Qwen3-TTS 1.7B on Nari Labs inference engine.
🚀 5x faster than Cartesia
💸 10x cheaper than ElevenLabs
🎙️ expressive voices, outperforming industry average
🎁 available FREE for a limited time
We believe open-source will win: not just in LLMs, but also in multimodal AI. Nari Labs is here to accelerate that future, starting with speech.
Try now at narilabs.com
Avyay Varadarajan retweeted
A 14B open model on a single RTX 4090 matched our hosted frontier model on text-to-SQL.
That wasn’t supposed to happen.
We ran 28 configurations, graded 25,000+ answers, and benchmarked against Snowflake + Databricks.
What we learned:
model size, model reputation, and vendor benchmark scores are bad shortcuts for predicting performance on your database.
So today we’re open-sourcing mnemiq.
Test it on your own data ↓
Avyay Varadarajan retweeted
token pricing is effectively meaningless now. 3.8 flash looks 13x cheaper when measured per token, but Astra is cheaper per task since it's far more efficient. measure your costs per task, not per token.
Avyay Varadarajan retweeted
Overall, I’m very surprised at how little media coverage there’s been around the OpenAI / Hugging Face attack. It’s clearly one of the most important things to happen this year.
Avyay Varadarajan retweeted
We had a great time at last week's Agents & APIs SF Developer Meetup! Thanks to @kwindla of @pipecat_ai, @codemathics of @coderabbitai, Matt Colozzo of @astropods_ and @avyvar of @daridotdev for presenting! 🫶
Avyay Varadarajan retweeted
Agent infra is undifferentiated but hard to do well, delegate to this cracked team instead and focus on your vertical’s differentiation🧠
Introducing @daridotdev.
Deploy your AI agent as a stateful, versioned API.
- durable sessions
- built-in execution + sandboxes
- tools, files, retries handled
Stop stitching infra. Just dari deploy.
Avyay Varadarajan retweeted
YC S21's @vogentai is an all-in-one platform for building voice AI agents using intelligent building blocks, including drag-and-drop conversational flow builders, IVR detection models, spelling-optimized voices, custom phone-ready LLMs, and more.
ycombinator.com/launches/Mhs…
Avyay Varadarajan retweeted
Excited to launch Elto on @ycombinator's Launch YC!
ycombinator.com/launches/JPL…