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).
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.
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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.
Sharpread was featured in Investing (26.7k followers), Artificial Intelligence (473.1k followers) and Finance (6.1k followers) on Product Hunt. Together, these topics include over 117.8k products, making this a competitive space to launch in.
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.
Want to see how Sharpread stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
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.