DBM2027

See where the FY 2027 budget moved.

A scrape-and-tag pipeline plus explorers for the Philippine national budget — growth, cuts, and the lines worth a second look.

See capabilities Build something like this

Static web + Python · Civic data

From published tables to a question you can ask.

Budget documents are public; comparing them is not. DBM2027 pulls FY 2027 figures, tags them, and surfaces explorers so a reader can see which allocations grew or were cut — without a spreadsheet archaeology project. A data MVP: pipeline first, then pages people can actually use.

Capabilities

Ingest, structure, then explore — not a one-off chart dump.

Pipeline: Python scrape and tagging over published budget material so the explorers are fed by a repeatable job, not a manual paste.
Explorers: Static web views that highlight where allocations increased or decreased — the civic question, not a generic dashboard kit.
Philippine FY 2027: Scoped to a real budget cycle so the data model matches how the figures are actually published.
MVP shape: Small enough to ship: ingest plus a few explorers, with a path to more cuts of the same corpus later.

This is a data MVP / Architecture Blueprint style build. Related: MVP Build Sprint.

Who it’s for

Reporters, researchers, and teams who need budget literacy tools.

Civic & policy readers See movement in the FY 2027 tables without rebuilding the sheet.
Newsrooms & NGOs A pipeline they can rerun when the next document drops.
Agencies exploring data MVPs Proof that scrape + tag + static explorers can ship in a sprint.

Built as a data MVP

Static web for the explorers; Python for the pipeline. No unnecessary app server in v1 — publish pages, keep the scrape honest.

Python · static web · budget scrape and explorers — AI-accelerated delivery, human-architected for civic data.

Need a civic or data MVP?

Blueprints and short sprints are how we ship tools like DBM2027 — scoped, owned, and readable.

Email hello@redn.asia Back to REDN