u/zack_code

This is the feature I wished existed since day one, a Developer Radar that adds full visibility into any Apify creator's public portfolio and tracks their actors, stats and activity over time. Just submitted V3 for review (comment down below and I'll notify you when it goes live).

The new feature is called Developer Radar. Paste any Apify developer's profile URL and it pulls all their public actors into one view — total users, MAU and pricing all visible at a glance. You can search, sort and filter within each developer profile, enable daily sync to keep the stats fresh every time you open Chrome, and export actor data to JSON anytime. Useful if you're keeping tabs on competitors, following creators you like, or just mapping out the ecosystem.

I made this completely free because it's useful for me and I hope it's useful for you too.

→ Apify Stats by ParseBird

Apify Stats by ParseBird

I've been experimenting with feeding structured financial data into AI instead of asking it generic questions and the difference in output quality is pretty significant.

I built a scraper that pulls SEC insider trading data from Dataroma and outputs clean JSON. Here is the workflow and the prompt I use:

>Step 1 — Run the scraper and grab the JSON output

Each record includes insider name, title, ticker, company, transaction type, shares, price, total value, and filing date. No cleanup needed, it comes out structured and ready to paste.

>Step 2 — Feed it into Claude or ChatGPT with this prompt:

Here is a dataset of recent SEC insider trading transactions in JSON format:

Please analyze this and tell me:
1. Which sectors are seeing the most cluster buying activity right now
2. Which insiders are making the largest purchases relative to the size of their historical transactions
3. Any companies where multiple insiders are buying around the same time
4. Flag any transactions that look unusual in terms of size, timing, or insider title

Format your response as a structured summary with a short executive overview followed by a ranked list of the most notable transactions and why they stand out.

What you get back is a genuinely useful breakdown that would take an hour to do manually. Way cheaper than paying for an institutional data subscription and you can run this daily with a simple Make.com automation.

Apify Stats V3 — Developer Radar is here (almost)

How I use structured SEC insider trading data to get actually useful analysis out of Claude