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).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Equibles
MCP server for SEC filings, earnings calls & congress trades
An open-source MCP server that puts 1,000,000+ SEC filings and 100,000+ earnings-call transcripts inside Claude, ChatGPT and Gemini — every answer cited to the source filing, and engineered to refuse to guess. 90 tools + REST API over 5,000+ US stocks: filings, calls we capture and transcribe ourselves, company-specific KPIs read out of the filings (RPO, ARR, store counts), congress and insider trades, 13F, short data, macro. Free: 100 calls/day.
Ask any AI who NVIDIA's biggest institutional holder is and you'll get a confident answer stitched together from some 2023 blog post. The real data is public. It's just buried in 400-page filings, XBRL soup, and earnings calls that only exist as audio on a webcast that expires two weeks later.
I spent the last year building the pipeline that turns all of that into something an AI can actually query. Equibles gives Claude, ChatGPT and Gemini 90 tools via MCP (plus a REST API) over 1M+ SEC filings, 100k+ earnings calls, and 5,000+ US companies.
The part I'm proud of is I don't buy transcripts, the software gets the calls itself. The pipeline attends the webcasts across 13 different platforms, captures the audio, transcribes it, and matches every voice to the actual roster.
It also reads each company's own KPIs out of the filings such as RPO, ARR, ARPU, store counts, load factor. Those are the numbers that actually move a thesis, and no generic financials API carries them.
The ingestion engine is open source (AGPL on GitHub), so you can self-host it (the cloud version has extra tools). Free tier on the cloud is genuinely free: 100 calls a day, every tool, no card.
Built solo. I'd love to hear what data you'd want next, or anything that can help me improve the product. That's my roadmap.
- Daniel
About Equibles on Product Hunt
“MCP server for SEC filings, earnings calls & congress trades”
Equibles was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #148 on the daily leaderboard. An open-source MCP server that puts 1,000,000+ SEC filings and 100,000+ earnings-call transcripts inside Claude, ChatGPT and Gemini — every answer cited to the source filing, and engineered to refuse to guess. 90 tools + REST API over 5,000+ US stocks: filings, calls we capture and transcribe ourselves, company-specific KPIs read out of the filings (RPO, ARR, store counts), congress and insider trades, 13F, short data, macro. Free: 100 calls/day.
On the analytics side, Equibles competes within Open Source, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Equibles performed against the three products that launched closest to it on the same day.
Who hunted Equibles?
Equibles was hunted by Daniel Oliveira. 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.
For a complete overview of Equibles including community comment highlights and product details, visit the product overview.
Daniel Oliveira
Hey everyone 👋
Ask any AI who NVIDIA's biggest institutional holder is and you'll get a confident answer stitched together from some 2023 blog post. The real data is public. It's just buried in 400-page filings, XBRL soup, and earnings calls that only exist as audio on a webcast that expires two weeks later.
I spent the last year building the pipeline that turns all of that into something an AI can actually query. Equibles gives Claude, ChatGPT and Gemini 90 tools via MCP (plus a REST API) over 1M+ SEC filings, 100k+ earnings calls, and 5,000+ US companies.
The part I'm proud of is I don't buy transcripts, the software gets the calls itself. The pipeline attends the webcasts across 13 different platforms, captures the audio, transcribes it, and matches every voice to the actual roster.
It also reads each company's own KPIs out of the filings such as RPO, ARR, ARPU, store counts, load factor. Those are the numbers that actually move a thesis, and no generic financials API carries them.
The ingestion engine is open source (AGPL on GitHub), so you can self-host it (the cloud version has extra tools). Free tier on the cloud is genuinely free: 100 calls a day, every tool, no card.
Built solo. I'd love to hear what data you'd want next, or anything that can help me improve the product. That's my roadmap.
- Daniel