24:I[50237,["/_next/static/chunks/0db4v-xi1q-jq.js","/_next/static/chunks/02-tqo9.1..63.js","/_next/static/chunks/0d3shmwh5_nmn.js","/_next/static/chunks/12wcqrolhhiqu.js"],"Posts"] 25:T495,I built sketchling this weekend to see if agents can draw something that looks natural and hand-drawn if given the right primitives. This was inspired by Manim after watching how powerful an agent-native way to produce animations can be.

It is a small typescript library with shapes that take character parameters like weight, looseness, and energy. It renders through rough.js and GSAP through a headless chromium browser. It has tools like a built-in linter and is meant to be agent-native.

As a test, I gave the library to Devin cold with minimal instructions and it came back with a 3 minute, 9 scene short film which I found cool! I also had 5 more agents each try a different style, pixel art, clean line, clay, 3D, even a jazz club scene with its own music, and they all came out looking different which was awesome to see.

I have added procedural walk cycles, camera movement, particle movement, and a small sound library as well. It is very early and has Chromium and ffmpeg as dependencies, which is more setup than I would like. I'm also honestly not sure how far this goes past the kind of demos I've shown here. Would love any and all feedback!26:T469,Hi HN,

I have been tinkering on a project for quite some time now. Most AI finance tools begin after the data is ready. Financial Diligence and audits don’t.

I built SecondState to start one layer earlier.

The interesting pieces:

- Agentic data transformation: It has kind of cursor for “data engineers” : you declare what you want and the agent builds the DAG and materialize it with a human-in-the-loop approval gate.

- Just-in-time Analytics: once you have some clean data, you can ask whatever question and it builds a dashboard on demand, helping users narrow the aperture on what’s valuable to look at.

The problem originates from my previous experience at a BIG 4 :

Every deal starts with a data room: General ledgers. Accounting records. Contracts. Financial statements & Endless spreadsheets.

And before anyone can understand operate on top, a loot of offshore teams in poor countries have to reconstruct it by hand and inject it into a dashboard.

Does this kill Hebbia? No. But I think the winning platform for high-stakes financial work will need to do more than RAG and knowledge graphs.

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