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

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

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%

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

almost all ai revenue is prosumer and smbs

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.

it's over AGI has been achieved - externally paper: arxiv.org/abs/2309.08632

Close enough

Generic ambition will give you anxiety. Specific ambition will give you direction.

tiramisu is, in essence, a well balanced breakfast. eggs, coffee, a little pastry, etc.

#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

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 .

. 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…

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…

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

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…

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

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…

If you are a founder Nanonets will value that experience almost more than any other. We are hiring and always looking for ex founders!

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 👇