Dave Zilberman

We're excited to collaborate with @googledevs on building an agentic workflow over complex financial documents - using LlamaParse and Gemini 3.1 Pro Brokerage statements have complex layouts, dense tables, and oftentimes visual elements like charts. Our multi-step agentic workflow does the following: 1. Ingest PDF into LlamaParse 2. Extract text and tables 3. Generate human-readable summary using Gemini Shoutout to @Vish_ow and @itsclelia 🙌 Check it out: developers.googleblog.com/build-a-smart-…

We’re proud to share that @OuroMeds , a Norwest portfolio company, has signed a definitive agreement to be acquired by @GileadSciences. When we co-led Ouro Medicine’s Series A in 2024, we deeply believed in its mission to fundamentally change how chronic immune-mediated diseases are treated. Congratulations on this significant milestone, and we look forward to supporting the company in its next chapter with Gilead. Read more: gilead.com/news/news-deta…

@NYCMayor nytimes.com/2026/02/28/wor…

Today’s military strikes on Iran — carried out by the United States and Israel — mark a catastrophic escalation in an illegal war of aggression. Bombing cities. Killing civilians. Opening a new theater of war.  Americans do not want this. They do not want another war in pursuit of regime change. They want relief from the affordability crisis. They want peace. I am focused on making sure that every New Yorker is safe. I have been in contact with our Police Commissioner and emergency management officials. We are taking proactive steps, including increasing coordination across agencies and enhancing patrols of sensitive locations out of an abundance of caution. Additionally, I want to speak directly to Iranian New Yorkers: you are part of the fabric of this city — you are our neighbors, small business owners, students, artists, workers, and community leaders. You will be safe here.

@glcst @haaawk_dev 📈

Our top customer by # of databases now has close to 9 million databases managed by the Turso Cloud. There is simply no other offering in the market that can reach this level of density.

The DOJ messed up some redactions on the latest Epstein files 🗄️🔏 - they didn’t flatten the PDF layers and you can highlight/copy the underlying text. If you want to extract this text at scale, you *can’t* just feed everything to a VLM (gpt-5.2, sonnet-4.5, gemini 3). VLMs only look at the top-level visual layer of the page, and will output the redacted blocks. You need to also reconstruct the text from the PDF binary itself, which is more in line with “traditional” techniques. LlamaParse uses a combination of both VLMs along with reading the underlying binary. * If you try out our agentic mode by default, it will output the redacted blocks in the markdown `md` field, but extract out the full text in the `text` field * With a simple prompt change you can also extract out the full text in `md`. Prompt: "Do not output redactions if the underlying extracted text already exists - output the full extracted text instead" Whether you want to comb through any set of released government documents or any other file, come check out LlamaParse! Source reddit thread: reddit.com/r/Epstein/s/ax… File: justice.gov/multimedia/Cou… To use LlamaParse, sign up to LlamaCloud: cloud.llamaindex.ai

Congratulations to @NorwestVP portfolio company @tv_scientific as they are joining @Pinterest

Huge Congratulations to @thakurtarun and @vezainc as @ServiceNow announces intent to acquire. Deeply thankful for allowing @NorwestVP to be a part of the journey from very early on. businesswire.com/news/home/2025…

Claude Code over Excel++ 🤖📊 Claude already 'works' over Excel, but in a naive manner - it writes raw python/openpyxl to analyze an Excel sheet cell-by-cell and generally lacks a semantic understanding of the content. Basically the coding abstractions used are too low-level to have the coding agent accurately do more sophisticated analysis. Our new LlamaSheets API lets you automatically segment structure complex Excel sheets into well-formatted 2D tables. This both gives Claude Code immediate semantic awareness of the sheet, and allows it to run Pandas/SQL over well-structured dataframes. We've written a guide showing you how specifically to use LlamaSheets with coding agents! Guide: developers.llamaindex.ai/python/cloud/l… Sign up to LlamaCloud: cloud.llamaindex.ai

You might’ve known us as a “RAG framework” company - but we’ve been a best-in-class, agentic document OCR/workflow company for the past 1.5+ years! 📑🤖 We’re building the future of knowledge work over documents. Our website is awesome - check it out if you haven’t already 👇 llamaindex.ai

Drop the mic @tursodatabase

Let’s go @tursodatabase

TURSO LAUNCH PARTY IS OCTOBER 8 🎉 We're hosting a Launch Party in San Francisco on October 8 to celebrate the Turso Beta Launch. Join us in-person! RSVP at tur.so/soma More details to follow.

Well said @jerryjliu0 and snazzy new website too!

Turso 0.1.4 alpha is now out! Highlights: 🔄 Initial bidirectional sync support 📦 TypeScript/JavaScript SDK improvements 🗄️ MCP server for accessing databases ⚡ Performance improvements and more Full release notes 👇

Turso, the next evolution of SQLite (previously codenamed "Limbo") reaches its first alpha milestone and first official release. We are so confident in our foundations, that we are offering you $1,000 if you find any data corruption bugs through our partnership with @algoraio (more details below) We understand that you love SQLite because of its legendary reliability. Which is why we wrote Turso with two layers of Deterministic Simulation Testing to generate the most improbable combinations of corner cases and surface every bug: our own, built-in to the project, and our partnership with @AntithesisHQ that catches every bug that survives the simulator. Including bugs in the simulator itself. We are rewriting SQLite because we believe that despite its incredible track record, SQLite could be more. And the secret to unlocking this is an open community of contributors that can unleash the true power of Open Source. In the months leading up to the alpha, Turso has already counted more than 120 contributors. And we are hoping you are next. For the upcoming beta, work has already started on features like concurrent writes, better schema changes, and change data capture. All features we constantly hear from people are sorely needed in SQLite. Performance was not the focus of our alpha. Yet, some workloads already perform a lot better on Turso. Which is why companies like @spice_ai are reaching for Turso as a replacement for SQLite to accelerate AI workloads. Lastly, we are testing Turso, A LOT. It would be a lot harder to do this without the high performance CI infrastructure that @useblacksmith provides. Learn more about Turso 👇

@glcst Winters in Texas are tough.

75 degrees today at around 7:30 in the morning, and I figured I'd walk to church... used to walk or bike in the morning in Ontario at similar temperatures and it was pleasant and nice. I thought I was going to die. Got to church sweating a bucket.

@etdurbin @aiDotEngineer @Boldstartvc @crewAIInc @KeycardLabs @agentuity @dylibso @get_tome @jhaynie @rblalock @peteraldehyde @ErnestAddison21 @nilslice At Mel’s dinner though??!!! 😳

The energy @aiDotEngineer is amazing - reminds me of early days of reinvent, everyone here is learning and sharing. Great to hang with @Boldstartvc CO’s @crewAIInc @KeycardLabs @agentuity @dylibso @get_tome LFG

Obviously naive RAG sucks, but it's pretty clear that agents still need the right retrieval tools in order to access massive amount of enterprise context. 🤖🔎 This is a fantastic blog post by @thesourabhd showing how we've carefully crafted a universal retrieval interface within LlamaCloud 💡🔎 - it both lets agents dynamically pull context at the chunk or file-level depending on the content of the question, and also lets the agent pull context from multiple different data sources. This way you can define a single index over not only one, but multiple Sharepoint directories, Box folders, GDrive folders, S3 buckets, or all of the above! 🗃️ Two key takeaways: ✅ The retrieval interface should let you retrieve entire files, not just chunks, depending on the content of the question ✅ Different data sources might require different parsing/indexing/chunking settings. The retrieval interface should let you rerank all of them. This makes it way easier for an agent to reference a single tool in order to pull in all the context it needs and perform research. Check out this fantastic blog post: llamaindex.ai/blog/rag-is-de… LlamaCloud: cloud.llamaindex.ai/?utm_campaign=… Come talk to us if you’re interested: llamaindex.ai/contact?utm_ca…

@thakurtarun Nice. My mom’s birth city.

Hello Riga! Securing access to data everywhere and anywhere. GO VEZA!! #IdentitySecurity #CyberSecurity

Enterprises are overwhelmed by complex, unmanaged access permissions. @vezainc is tackling this with an identity-first security approach, and we’re proud to support its $108M Series D. More from @zilberman & @thakurtarun about why identity is the front line of cybersecurity: veza.com/blog/veza-anno…