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).
Slatemark is an MCP server that connects Claude, Cursor, or any AI client to your live brokerage account, primary-source market data, SEC filings, and a trade journal. Every number comes with a citation and timestamp. It cannot place a trade.
In 2020 I lost $25k buying dips that had no business being bought. Every drop looked like an entry. It wasn't. I kept adding, kept getting hurt worse, and had nothing in front of me showing the pattern: same name, bigger size, no rule, no record that I'd done the exact same thing the week before.
That's the whole reason Slatemark exists. It wires your AI client to real broker quotes and primary-source data, then journals every trade and shows you which of your setups actually work. It's read-only and it won't tell you what to buy. What it would have given 2020 me was a mirror, early. I built it for that version of me, and it turns out a lot of people are that version of me.
What I'm asking from this community and from beta testers: genuine feedback. What works, what's confusing, where it falls short, whether it's solving a real problem for you. Try it at slatemark.ai, wire it to Claude or Cursor in a couple of minutes, and tell me where I'm wrong. Help me so I can help you.
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About Slatemark on Product Hunt
“The discipline your AI is missing”
Slatemark was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #41 on the daily leaderboard. Slatemark is an MCP server that connects Claude, Cursor, or any AI client to your live brokerage account, primary-source market data, SEC filings, and a trade journal. Every number comes with a citation and timestamp. It cannot place a trade.
Slatemark was featured in Fintech (47.1k followers), Developer Tools (514k followers) and Artificial Intelligence (471k followers) on Product Hunt. Together, these topics include over 188.7k products, making this a competitive space to launch in.
Who hunted Slatemark?
Slatemark was hunted by slatemark. 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.
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