samarth__go's profile picture. building @harvey // prev. hrt, imc, goldman sachs, avalanche

samarth

@samarth__go

building @harvey // prev. hrt, imc, goldman sachs, avalanche

Year 1 at @harvey (Inspired by @chenxcynthia)

samarth__go's tweet image. Year 1 at @harvey

(Inspired by @chenxcynthia)

LETS GOOOOOOOOOO also we’re hiring ;)

We are thrilled to announce our $300M Series E round at a $5B valuation. The round is co-led by Kleiner Perkins and Coatue, and includes Sequoia, GV, DST Global, Conviction, Elad Gil, the OpenAI Startup Fund, Elemental, SV Angel, Kris Fredrickson, and REV.



That’s me! Big fan of @modal_labs - looking forward to even more powerful tools and features to come soon 💪

@harvey__ai observed a 10x speed-up in their document processing pipeline using Modal Batch. This pipeline powers the features that help legal teams pull relevant insights from case laws and other external sources.

modal's tweet image. @harvey__ai observed a 10x speed-up in their document processing pipeline using Modal Batch. This pipeline powers the features that help legal teams pull relevant insights from case laws and other external sources.


Check out my first official Harvey blog post! AI Evals are hard, especially when evaluating natural language. Yet, trustable evals are critical in high-stakes domains like legal and finance, where ground truth may not even exist. Learn more about how we think about evals below!

How does Harvey evaluate legal LLM systems? Our evaluation stack is complex, ranging from: - LLM auto-evaluation systems - Preference rating from BigLaw attorneys and domain experts - Custom evaluation infrastructure Learn about how Harvey runs evaluation in our blog below!

harvey's tweet image. How does Harvey evaluate legal LLM systems?

Our evaluation stack is complex, ranging from:
- LLM auto-evaluation systems
- Preference rating from BigLaw attorneys and domain experts
- Custom evaluation infrastructure

Learn about how Harvey runs evaluation in our blog below!
harvey's tweet image. How does Harvey evaluate legal LLM systems?

Our evaluation stack is complex, ranging from:
- LLM auto-evaluation systems
- Preference rating from BigLaw attorneys and domain experts
- Custom evaluation infrastructure

Learn about how Harvey runs evaluation in our blog below!


I'm open-sourcing the Tablog MCP Server 🍣 When I visited Japan last summer, Tablog helped me eat like a local. Now you can chat with Claude to get personalized restaurant recs from Japan's culinary source of truth! 🔗 Try it out and contribute here: github.com/sgoel97/tablog…


As the agent stack matures, the ability to rapidly prototype and avoid framework based lock-in will have outsized impact on your success. Prototyping with Sim Studio is the necessary first layer for everyone building agents today. PMs, domain experts, builders - try it out!

Introducing Sim Studio The fastest way to build AI agents



I love conferences

samarth__go's tweet image. I love conferences
samarth__go's tweet image. I love conferences
samarth__go's tweet image. I love conferences

One of the best products I’ve seen in the space, and the hustle and grind I’ve seen from @karabegemir and @typingwala is insane. Sim Studio is positioned to build something game-changing, and there’s no better team for the job. Congrats on the launch 🚀 🎉 great things ahead!

Meet Sim Studio The open source agent workflow builder. Drag-and-drop building blocks to create your first agent:



NEW BLOG POST: Catching up to Modern LLM Research! When I first got into LLM research, i spent a ton of time on low-signal papers and outdated ideas. This is the guide I wish I had, and distills my experience into a single post. Check it out below! dev.samarthgoel.com/blog/post/llm-…


It’s been an insane few months - when I joined we were at 100 people, and now we’re coming up on 300!! The growth has been staggering, and it’s exciting to know there’s much more to come in 2025 🤩 (ps we’re hiring)

Today we’re announcing our first Harvey Year in Review. Some highlights: - 235 customers in 42 countries - 4x ARR - Grew from 40 to 228 employees - $100M Series C raise - Major product advancements across Assistant, Vault, data, and integrations Link to the full report below:

harvey's tweet image. Today we’re announcing our first Harvey Year in Review. 

Some highlights:
- 235 customers in 42 countries
- 4x ARR
- Grew from 40 to 228 employees
- $100M Series C raise
- Major product advancements across Assistant, Vault, data, and integrations

Link to the full report below:
harvey's tweet image. Today we’re announcing our first Harvey Year in Review. 

Some highlights:
- 235 customers in 42 countries
- 4x ARR
- Grew from 40 to 228 employees
- $100M Series C raise
- Major product advancements across Assistant, Vault, data, and integrations

Link to the full report below:
harvey's tweet image. Today we’re announcing our first Harvey Year in Review. 

Some highlights:
- 235 customers in 42 countries
- 4x ARR
- Grew from 40 to 228 employees
- $100M Series C raise
- Major product advancements across Assistant, Vault, data, and integrations

Link to the full report below:
harvey's tweet image. Today we’re announcing our first Harvey Year in Review. 

Some highlights:
- 235 customers in 42 countries
- 4x ARR
- Grew from 40 to 228 employees
- $100M Series C raise
- Major product advancements across Assistant, Vault, data, and integrations

Link to the full report below:


2025 goal: be happy and have a good time


Cracked team, insane ambition, big picture vision - super excited to see where these guys go 👀 congrats on the launch!

We built a B2B SaaS sales company and here’s what it taught us about B2B SaaS sales 🧵👇 (but actually) Today we’re launching  Rox, the first publicly available AI agent swarm for the top sales teams, and in the private beta it already helped reps grow their books 30%. 2025 is…



samarth reposted

Hawk Tuah recently went viral for her rant on the overuse of advanced machine learning models by junior quant researchers. “Junior researchers prefer non-linear methods and complex black boxes despite the limitations of these models to deal with the high risk of overfitting”

quant_arb's tweet image. Hawk Tuah recently went viral for her rant on the overuse of advanced machine learning models by junior quant researchers.

“Junior researchers prefer non-linear methods and complex black boxes despite the limitations of these models to deal with the high risk of overfitting”
quant_arb's tweet image. Hawk Tuah recently went viral for her rant on the overuse of advanced machine learning models by junior quant researchers.

“Junior researchers prefer non-linear methods and complex black boxes despite the limitations of these models to deal with the high risk of overfitting”

🍓🚀

@OpenAI's o1 model is preferred 70% of the time by BigLaw attorneys over GPT-4o for complex legal queries. @harvey__ai has been using strawberry to build legal agents and we are super excited by the step change improvement. harvey.ai/blog/harvey-bu…



Big Dawgs by hanumankind gives me hope for the future of Indian hip-hop


I knew Tokyo was based but I didn’t realize just how much until now (I’ve spent 24 hours here and I’m having the time of my life)


The experiment I worked on for weeks is a failure but the side project I was doing for shits and giggles is yielding high implication results I hate research


the sudden urge to build striking exactly at midnight is a dangerous feeling


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