[ CAPITAL_MARKETS_MEDIA_&_RESEARCH ]
IPO & Market Data Platform
What it is
A public market-data destination fed by a fleet of automated ingestion jobs.
[ THE_PROBLEM ]
Why this existed
Market data businesses live or die on freshness. A manual desk cannot publish pre-market, post-market, corporate actions and IPO data on time, every day, without the cost eating the subscription revenue.
[ WHAT_WE_BUILT ]
What we built
The front end carries dashboards, IPO and corporate-action data, gainers and losers, a live ticker, geographic mapping of issuers and PDF report viewing. Behind it, a scripted pipeline: pre-market and post-market data pulls, monthly scrapes, an IPO pipeline, corporate actions and table fetches, AI-generated article summaries, newsletter data assembly, city-to-state resolution via geocoding and an AI fallback, and a programmatic SEO generator with automated sitemap generation. Subscriptions run through Razorpay; auth through Clerk; documents render in-browser.
- Dashboards for IPO data, corporate actions, gainers and losers
- Live ticker and geographic mapping of issuers
- In-browser PDF report viewing
- Scheduled pre-market, post-market and monthly ingestion jobs
- IPO pipeline and corporate-action fetch automation
- AI-generated article summaries and newsletter data assembly
- City-to-state resolution via geocoding with an AI fallback
- Programmatic SEO generation with automated sitemaps
- Subscription billing and authentication
[ HOW_IT_IS_USED ]
How a company uses it
A financial media or research business publishes timely market data at a cadence no manual desk can match, and monetises it with subscriptions — with the scraping, enrichment and SEO layers as the actual moat.
Built with
[ COMMON_QUESTIONS ]
Questions clients ask
What is the actual moat in a market data product?
Not the dashboard. It is the ingestion pipeline, the enrichment that makes messy source data usable, and the SEO surface that compounds over time. Those are the parts that are tedious to replicate and they are where most of the engineering went.
How do you handle sources that change their format?
You assume they will. Scrapers are written per-source and isolated so one breaking does not take down the pipeline, and the jobs are scheduled and monitored so a failure is visible the same day rather than discovered by a subscriber. Ongoing maintenance is a real line item on any scraping-based product and should be budgeted honestly.
Is scraping public market data legal?
It depends entirely on the source, its terms, and your jurisdiction — and it is a question for your counsel, not your developer. What we can do is architect so that sources are swappable, which is what you want when a licensing arrangement replaces a scraped source later.
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