Independent data studio · Japan
Sofue Data takes daily snapshots of public, non-personal data that no one archives, such as app store rankings and company hiring activity, and turns them into pay-per-result data products. The pipeline is designed, built and maintained with Claude.
As of October 7, 2026.
Products
Each product starts from an official public endpoint, adds the history or normalization that the source does not provide, and charges only for the rows you receive.
Top Free and Top Paid, top 100, for 10 storefronts: US, JP, GB, DE, FR, KR, CA, AU, BR and IN. Pull the current chart on demand, or the accumulated daily history for trend and momentum analysis.
Job postings from Greenhouse, Lever, Ashby, SmartRecruiters and Recruitee in one schema. Delta mode returns only newly opened and closed roles with first-seen dates, plus per-company rollups that show who just started hiring, and for what.
The same history and derived signals, served over HTTP to AI agents that pay per request with x402, without accounts or API keys.
How it works
A scheduled job reads each source's official public endpoint once a day. Today that means 20 App Store chart feeds and the Hacker News front page.
Rows are appended as NDJSON, one file per source per day, and committed to git so that every snapshot carries a verifiable timestamp.
Apify actors sell current data and history per result. Derived signals such as rank percentiles, momentum and hiring deltas are built on the same store.
Parsing code can be copied in an afternoon. A day of history that was never recorded cannot be bought back.
{ "ts": "2026-10-06T21:00:02.048Z", "country": "us", "chart": "top-free",
"rank": 7, "appId": "6754134922", "name": "PineDrama - Short Dramas",
"artist": "TikTok Ltd.", "releaseDate": "2025-12-23",
"url": "https://apps.apple.com/us/app/pinedrama-short-dramas/id6754134922" }Built with Claude
The studio runs on Claude Code. Three specialized agents do the scouting, building and repair work that would otherwise take a team, which keeps the portfolio maintainable by one person.
Searches for long-tail public data, opens every candidate URL to confirm it is reachable, checks robots.txt and terms, and measures how crowded the marketplace already is.
Turns a target spec into a deployable Apify actor: typed input schema, pay-per-event billing, timeouts and retries, Dockerfile and README.
Reads run logs, separates transient errors from structural breaks such as schema drift, and proposes the exact parser patch, ranked by what is at risk.
Data principles
No names, contact details or anything that identifies a person.
Nothing behind a login, a paid license, or terms that prohibit collection.
Public JSON APIs and open data before HTML pages, with robots.txt respected.
Every snapshot is timestamped and kept append-only.
What's next
Questions, data requests and partnerships are welcome.