This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Castling Financial turns SEC EDGAR filings into tools humans and AI can actually use, at a low cost. Browse a research dashboard with statements, charts, and provenance on every figure. Ask Castle AI filing-grounded questions. Connect via MCP so GPT, Claude, and other agents pull the same SEC-traceable data. Built for accuracy: reported values map back to filing tags and accessions. If it is not in the filing path, it stays blank. No silent vendor estimates. Data humans and AI agents can trust
Hey Product Hunt. I’m Zac, founder of Castling Financial.
I built this because consumer finance sites (Yahoo Finance, Google Finance, and similar) are fine for a quick glance, but they’re often opaque, sometimes wrong or delayed, and the UIs feel stuck in another decade. “AI for finance” tools have the same trust problem: they sound confident and can’t show where a number came from.
Castling starts from SEC EDGAR / XBRL filings and keeps a paper trail. Humans get a cleaner research dashboard with statements, charts, and provenance on figures, along with Castle AI assistant. AI agents get MCP so GPT, Claude, Cursor, and others can pull the same SEC-traceable data. Structured MCP tool results typically use far fewer tokens than pasting scraped pages into the model. In practice we often see roughly 10-20x less context (and cost) than scrape-heavy workflows. That is an observed order of magnitude, not a guarantee for every prompt. Moreover, it's more accurate than using a tree sitter. A tree walk still depends on finding the right node and reading text/tables, which models (and scrapers) can misread.
What you can try today:
Company dashboard built for research, not ad clutter Provenance on figures (filing / tag trail when present) Castle AI + MCP for agent workflows What it is not: live quotes, Street estimates, or inventing missing tags. If it isn’t in the filing path, it stays blank.
Would love feedback from PH, especially:
Is the dashboard clearer than the usual finance portals? Is provenance obvious on first use? What’s missing for MCP / agent builders? Happy to answer anything in the comments. I'll be around :D
Plugged it into Claude and asked about a mid-cap's revenue trends, the answers came back straight from the filing with the accession right there. That provenance thing is genuinely useful, not just a nice-to-have.
The MCP setup was the standout for me, hooked it into Claude and it pulled only what was directly traceable to the filings rather than guessing. Really appreciate seeing the accession number right next to every number in the dashboard.
love that every number traces back to its actual filing tag and accession, no fuzzy estimates hiding in the background. the blank-over-bullshit choice is exactly how financial data should work
Love that every number ties back to the original filing tag, that provenance layer is exactly what's missing from most financial tools. One thing I'd want: a simple diff view between two filings of the same company so you can quickly spot which line items changed quarter over quarter without scrolling through both 10-Qs manually.
Finally something built for verifiable accuracy, love that blank values stay blank instead of being filled with vendor estimates. The MCP hookup to GPT was smoother than I expected, pointed it at a 10-K and the answers came back tagged straight to the filing.
The provenance trail on every figure is exactly the kind of unglamorous, disciplined work that makes financial data actually usable. Glad someone finally drew the line at silent estimates.
Love that every figure ties back to the original filing tag, that provenance layer is the kind of trust signal most tools skip. One thing that would make this even more useful for me: let me save a custom watchlist of tickers and get a digest when a new 10-Q or 8-K lands, with Castle AI pre-summarizing the deltas against the prior quarter. Would save a lot of tab refreshing during earnings season.
About Castling Financial on Product Hunt
“Source of truth SEC filing data for humans and AI”
Castling Financial was submitted on Product Hunt and earned 20 upvotes and 15 comments, placing #36 on the daily leaderboard. Castling Financial turns SEC EDGAR filings into tools humans and AI can actually use, at a low cost. Browse a research dashboard with statements, charts, and provenance on every figure. Ask Castle AI filing-grounded questions. Connect via MCP so GPT, Claude, and other agents pull the same SEC-traceable data. Built for accuracy: reported values map back to filing tags and accessions. If it is not in the filing path, it stays blank. No silent vendor estimates. Data humans and AI agents can trust
Castling Financial was featured in Productivity (656.6k followers), Artificial Intelligence (474.2k followers) and Finance (6.1k followers) on Product Hunt. Together, these topics include over 261.1k products, making this a competitive space to launch in.
Who hunted Castling Financial?
Castling Financial was hunted by Zac Goldberg. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Castling Financial stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Zac Goldberg
Hey Product Hunt. I’m Zac, founder of Castling Financial.
I built this because consumer finance sites (Yahoo Finance, Google Finance, and similar) are fine for a quick glance, but they’re often opaque, sometimes wrong or delayed, and the UIs feel stuck in another decade. “AI for finance” tools have the same trust problem: they sound confident and can’t show where a number came from.
Castling starts from SEC EDGAR / XBRL filings and keeps a paper trail. Humans get a cleaner research dashboard with statements, charts, and provenance on figures, along with Castle AI assistant. AI agents get MCP so GPT, Claude, Cursor, and others can pull the same SEC-traceable data. Structured MCP tool results typically use far fewer tokens than pasting scraped pages into the model. In practice we often see roughly 10-20x less context (and cost) than scrape-heavy workflows. That is an observed order of magnitude, not a guarantee for every prompt. Moreover, it's more accurate than using a tree sitter. A tree walk still depends on finding the right node and reading text/tables, which models (and scrapers) can misread.
What you can try today:
Company dashboard built for research, not ad clutter
Provenance on figures (filing / tag trail when present)
Castle AI + MCP for agent workflows
What it is not: live quotes, Street estimates, or inventing missing tags. If it isn’t in the filing path, it stays blank.
Would love feedback from PH, especially:
Is the dashboard clearer than the usual finance portals?
Is provenance obvious on first use?
What’s missing for MCP / agent builders?
Happy to answer anything in the comments. I'll be around :D