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Sharpread
Find the hidden risks in SEC filings before you invest.
Sharpread pulls hard financials directly from SEC XBRL data. AI extracts management red flags and narrative drift, with every claim linked back to the verbatim EDGAR filing quote. Zero AI guesswork.
Hey Product Hunt. I got sick of AI tools hallucinating financial data, so I built an automated junior analyst that actually brings the receipts.
The architecture is different from most tools in this space. Financial math never touches the AI. Every number on the dashboard is pulled directly from SEC XBRL data, the same structured data the company filed with regulators. The model only reads the text: MD&A, risk factors, legal disclosures. It cannot guess the math.
For qualitative analysis, every red flag has to cite the exact sentence from the filing. If the engine cannot find the verbatim source, the claim gets dropped. Not summarised. Dropped.
We also track management tone across quarters. What a CEO stops saying is usually more interesting than what they say.
Beyond Meat is a good example. Sharpread issued HIGH CONVICTION BEARISH on their 10-K in April 2026. Days later a meme short squeeze pumped the stock 30%. Today it trades under $1. The fundamentals were right. The market was temporarily irrational.
You get 10 free analyses, no card required. I would start with BYND or INTC, both have filing histories that show what the tool actually catches.
I will be in the comments all day.
About Sharpread on Product Hunt
“Find the hidden risks in SEC filings before you invest.”
Sharpread was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #100 on the daily leaderboard. Sharpread pulls hard financials directly from SEC XBRL data. AI extracts management red flags and narrative drift, with every claim linked back to the verbatim EDGAR filing quote. Zero AI guesswork.
On the analytics side, Sharpread competes within Investing, Artificial Intelligence and Finance — topics that collectively have 505.8k followers on Product Hunt. The dashboard above tracks how Sharpread performed against the three products that launched closest to it on the same day.
Who hunted Sharpread?
Sharpread was hunted by Will Towle. 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 Sharpread including community comment highlights and product details, visit the product overview.
Will Towle
Hey Product Hunt. I got sick of AI tools hallucinating financial data, so I built an automated junior analyst that actually brings the receipts.
The architecture is different from most tools in this space. Financial math never touches the AI. Every number on the dashboard is pulled directly from SEC XBRL data, the same structured data the company filed with regulators. The model only reads the text: MD&A, risk factors, legal disclosures. It cannot guess the math.
For qualitative analysis, every red flag has to cite the exact sentence from the filing. If the engine cannot find the verbatim source, the claim gets dropped. Not summarised. Dropped.
We also track management tone across quarters. What a CEO stops saying is usually more interesting than what they say.
Beyond Meat is a good example. Sharpread issued HIGH CONVICTION BEARISH on their 10-K in April 2026. Days later a meme short squeeze pumped the stock 30%. Today it trades under $1. The fundamentals were right. The market was temporarily irrational.
You get 10 free analyses, no card required. I would start with BYND or INTC, both have filing histories that show what the tool actually catches.
I will be in the comments all day.