Sarthak Jain (@sarthak_jain) 's Twitter Profile
Sarthak Jain

@sarthak_jain

CEO - @nanonets_ YC W17

ID: 38169963

linkhttps://linkedin.com/in/jainsarthak calendar_today06-05-2009 12:47:24

480 Tweet

451 Followers

1,1K Following

Gokul Rajaram (@gokulr) 's Twitter Profile Photo

BOARD MEMBERS A founder with multiple VC partners on their board told me that their favorite board member is the one who doesn’t panic and start asking “omg what’s going to happen to the company” every time the company faced a challenge or crisis, but instead goes into problem

Sarthak Jain (@sarthak_jain) 's Twitter Profile Photo

After AI, design for software experiences isn't about designing screens. It is about designing experiences that don't require screens.

Yi Ding -- prod/acc (@yi_ding) 's Twitter Profile Photo

Simple AI Agent math: On a 10 step agent loop: If your LLM error rate is 5%, then your overall success rate is 0.95^10 = 60% If error rate is 10%, then your success rate is 0.9^10 = 35% But if you can just reduce your error rate to 3% (w/ retrieval) success rate becomes 74%

Jeffrey Wang (@wangzjeff) 's Twitter Profile Photo

I'm insanely bullish on AI startups disrupting incumbents. Why? I've done a ton of SaaS shopping recently. Startups have no baggage - can make product fully AI-first, which is often the right decision. Incumbent products feel like AI was added as an afterthought

Aaron Levie (@levie) 's Twitter Profile Photo

A clear playbook for enterprise AI startups is to replicate and automate the processes that large companies normally try to outsource, but small companies can’t afford. If this works, the benefit will be millions of businesses having access to services never before possible.

YourStory (@yourstoryco) 's Twitter Profile Photo

#FundingWithYS 💰 💼 Company: Nanonets 💸 Funding: $29 million ⚡ Round: Series B 👥 Investors: Accel and existing investors Elevation Capital, Y Combinator, and others.  Read at 👇 yourstory.com/2024/03/workfl… by Bhuvana Kamath | Sarthak Jain Prathamesh Juvatkar

#FundingWithYS 💰

💼 Company: <a href="/nanonets/">Nanonets</a>
💸 Funding: $29 million
⚡ Round: Series B
👥 Investors: <a href="/Accel/">Accel</a> and existing investors <a href="/ElevCap/">Elevation Capital</a>, <a href="/ycombinator/">Y Combinator</a>, and others. 

Read at 👇
yourstory.com/2024/03/workfl…

by <a href="/bhuvsss/">Bhuvana Kamath</a> | <a href="/sarthak_jain/">Sarthak Jain</a> <a href="/PJuvatkar/">Prathamesh Juvatkar</a>
Nanonets (@nanonets) 's Twitter Profile Photo

We're thrilled to announce that Nanonets has raised $29 million in a Series B funding round led by Accel in India , with continued support from existing investors Elevation Capital and Y Combinator .

Accel in India (@accel_india) 's Twitter Profile Photo

. Nanonets' AI platform is helping businesses turn unstructured data into actionable insights. We are thrilled to welcome Sarthak Jain, Prathamesh Juvatkar, and the entire Nanonets team to the #AccelFamily. techcrunch.com/2024/03/12/nan…

Y Combinator (@ycombinator) 's Twitter Profile Photo

Congrats to the team Nanonets on the $29M Series B! Nanonets (YC W17) is transforming the way businesses handle repetitive & mundane office work with the use of autonomous AI agents to automate complex processes, saving them significant time and money: techcrunch.com/2024/03/12/nan…

Nikita Bier (@nikitabier) 's Twitter Profile Photo

The primary function of venture capitalists is to mistreat founders so founders can hold grudges and then go scorched earth to prove them wrong.

arunofsky (@arungandhinew) 's Twitter Profile Photo

The kind folks at YourStory wrote a little something about us. The article covers Sarthak Jain 's lens on how AI's share of the office work pie will keep increasing with increasing ability of underlying models. yourstory.com/2024/08/nanone…

Souvik Mandal (@mandalsouvik4) 's Twitter Profile Photo

We're excited to share Nanonets-OCR-s, a powerful and lightweight (3B) VLM model that converts documents into clean, structured Markdown. This model is trained to understand document structure and content context, like tables, equations, images, plots, watermarks, checkboxes, etc

We're excited to share Nanonets-OCR-s, a powerful and lightweight (3B) VLM model that converts documents into clean, structured Markdown. This model is trained to understand document structure and content context, like tables, equations, images, plots, watermarks, checkboxes, etc
Nanonets (@nanonets) 's Twitter Profile Photo

Your LLMs are hungry for data, but documents are messy 😩. DocStrange is the answer! Our open-source solution turns any document into clean, LLM-ready data with one command. Give your models what they need. 🔗 github.com/NanoNets/docst… 🔗 pypi.org/project/docstr…

Daniel van Strien (@vanstriendaniel) 's Twitter Profile Photo

Nanonets just shipped Nanonets-OCR2: new 3B VLM for OCR! LaTeX equations, tables, handwriting, charts, multilingual - it does it all! You can try it against your data with one command via Hugging Face Jobs - no local GPU needed! The HF Jobs command/output from the model 👇

<a href="/nanonets/">Nanonets</a> just shipped Nanonets-OCR2: new 3B VLM for OCR!

LaTeX equations, tables, handwriting, charts, multilingual - it does it all!

You can try it against your data with one command via <a href="/huggingface/">Hugging Face</a> Jobs - no local GPU needed!

  The HF Jobs command/output from the model 👇