Pyaar Media

Pyaar Media is a personal media operating system. I curate links and write takes in a Notion database I own, and approved items publish automatically to a Bluesky account on the open AT Protocol. The first wing is Pyaar Health News: healthcare and medical-device news, products, and commentary for physicians, patients, and researchers.

How it runs: over WhatsApp, the founding agent saves a link into the curation database, I write the caption and pick an image, and approving the item posts it to Bluesky and writes the live link back. Notion is the private control plane; Bluesky is the public feed.

Follow

The account lives at @health.pyaarproject.org on Bluesky.

Curation database

The public curation inbox is the Articles of Interest database in Notion.

Live feed

The latest posts from the account are shown below.

How it's built

Pyaar Media runs as a small pipeline. Notion is the private control plane where everything is curated and approved. Bluesky, on the open AT Protocol, is the public surface. The founding agent, reached over WhatsApp, is the control panel and the core of the system. A set of background agents do the web work: drafting posts, answering research questions, scanning SEC filings, and hydrating the tracker.

The flow

A link comes in over WhatsApp. It is recorded in Notion, given a caption I write in my own voice, optionally extended with thread replies, and once approved it posts to Bluesky and the live link is written back. Those posts are what you see in the feed below.

The pieces

• The founding agent (WhatsApp control panel): the head and core of the system, where everything starts. Text it a link and it files the article or stages a draft for me to shape. Built on Bun, Baileys, and the Claude Agent SDK.
• Notion (control plane): the databases track the links (Articles of Interest), the posts and their captions (the publish queue), the thread replies including research questions, and the company watchlist behind the filings wing.
• Drafting agent: turns a saved link or a quick note into a first draft written in my own voice. I take cues from what I'm reading on LinkedIn and across the field, then refine and approve each post before it goes out.
• Research agent: answers research-style thread replies by looking them up on the web and writing a concise, sourced reply that posts in the thread.
• Publisher: posts approved items to Bluesky in thread order and writes the live link back, on a schedule, with safeguards against double-posting.
• Live feed: this page reads the account's latest posts straight from the AT Protocol.

Everything is open and portable: the databases are owned in Notion, the account lives on the AT Protocol, and the code is version-controlled so it can move between tools and machines.

Reading SEC filings

A newer wing reads filings straight from SEC EDGAR for a curated set of healthcare and medical-device companies. Most filings are noise: across the watchlist, the great majority each year are routine insider-trade forms and procedural notices. So the pipeline classifies rather than collects, and keeps only what carries signal.

• Earnings (10-K, 10-Q): the annual and quarterly reports. The headline numbers come from SEC's structured XBRL data rather than a model reading a document, so a revenue or EPS figure is exact and costs nothing to produce.
• Events: only the 8-K disclosures that matter, like material agreements, acquisitions, leadership changes, and cybersecurity incidents.
• Governance: proxy statements, for executive pay and board changes.
• S-1 filings (IPO prospectuses): hardware-specific operating metrics scraped and documented from companies of interest. Key fields include hardware revenue, units sold, sell-through, COGS, landed cost, gross margin, on-hand and in-transit inventory, warranty rate, return/RMA rate, and activation rate. These filings are a unique window into pre-public operating detail that companies rarely disclose again after going public.
• Filtered out: routine notices, vote tallies, boilerplate exhibits, and the insider-trade flood.

Healthcare names route to Pyaar Health for review. Other public companies feed a separate account, Pyaar Stock, where earnings can post on their own. Keeping the two apart means one audience never bleeds into the other.

A portfolio tracker, as a byproduct

The same filings hydrate a private financial tracker. Every tracked company carries a full fundamentals history pulled from XBRL: revenue, margins, research spend, and cash, drawn from the source on the day it is filed, which is often the data financial sites delay or bury. It lives in two places: a Notion table for at-a-glance review, and a local analytics layer that drives a reactive dashboard of multi-year revenue and margin trends with growth compared across the book.

It follows a curated slice of the healthcare universe rather than a fixed list, names spanning surgical robotics, devices, diagnostics, and digital health.

Pyaar Invest

Pyaar Invest (PYR) is the investing research wing of Pyaar Media, inspired by The LatteHQ. Where the media pipeline surfaces news and filings in real time, Pyaar Invest is the layer that turns those filings into structured, reusable research.

The core formats are deep dives into three SEC filing types: 10-K annuals, 10-Q quarterlies, and 8-K material events. On top of those, Pyaar Invest tracks S-1 filings from hardware and medical device companies approaching IPO, extracting a specific set of operating metrics that are rarely disclosed post-IPO:

• Hardware revenue and units sold (total and by product line where available)
• Sell-through (end-customer sales vs. channel inventory)
• COGS and landed cost (bill of materials, freight, duties, fulfillment)
• Gross margin (product-level and blended)
• On-hand and in-transit inventory (finished goods, raw materials, WIP)
• Warranty rate (accrual rate, claims frequency, reserve adequacy)
• Return/RMA rate (units returned, refurbishment economics)
• Activation rate (units activated vs. units shipped, a proxy for real demand)

The goal is to build a structured archive of these metrics across companies of interest, so that when a company goes public and these disclosures thin out, the S-1 baseline is already captured and comparable.

Pyaar Invest feeds the same portfolio tracker that the broader Pyaar Media filings pipeline hydrates, adding the S-1 operating detail alongside the ongoing XBRL fundamentals from 10-K and 10-Q filings.