21/32proof of conceptMarket Intelligence

Market Pulse

Monitors a curated source list and builds reviewed items into a weekly market report.

What it solves

Market research done by hand is a repeated sweep of the same sources. This collects, classifies and summarises each item, so an editor reviews instead of searching.

How it runs

Seven steps, input to output

Goes inA curated list of sources, each with a feed an administrator has validated

  1. 01

    Sources

    An administrator adds a source, then validates and enables its feed.

  2. 02

    Collect

    Feeds are fetched on a schedule or on demand, under strict limits, with every URL checked first.

  3. 03

    Clean

    Feed text is treated as untrusted and reduced to plain text.

  4. 04

    Deduplicate

    Layered checks and database constraints stop the same story arriving twice.

  5. 05

    Enrich

    Each item gets classification, sentiment and a summary as validated structured output.

  6. 06

    Review

    An editor works the review queue, and every status change is audited.

  7. 07

    Report

    Reviewed items build into the weekly report.

Comes outA weekly market report, exported as PDF or Word

What it does

Market-intelligence application that monitors a curated source inventory, collects feed metadata under strict fetch limits, and runs every item through classification, sentiment and summary before it reaches an editor.

Layered deduplication and database constraints stop the same story arriving twice, every status change is audited, and reviewed items build into weekly reports exported as PDF or Word: so the research and reporting cycle stops being a manual sweep.

Three decisions

What shaped the build

Built with

8 parts

OpenAI
classify · sentiment · summary
rss-parser
feed collection
Apify
extended collection
Readability · linkedom
article extraction
sanitize-html
untrusted feed text
Drizzle · Neon
Postgres store + dedupe
Zod
env and payload validation
pdf-lib · docx
report export