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).
Market-moving financial news, structured for AI agents and trading automations. Live REST API and MCP server for Claude Desktop, Cursor, and your own agents.
AlphaAI started out as an "AI stock analysis" site. You picked a ticker, we pulled prices and indicators plus recent news, ran a stack of prompts over it and handed back an analyst-style report. It demoed well. We paid for the data, nobody paid us. Turns out people don't buy prompt output. Anyone who cares about the analysis already has ChatGPT or Claude and their own prompts.
What they actually used, quietly, was the news feed the analysis was sitting on. A few were piping it straight into their own agents. So I killed the analysis product and rebuilt around the part that got used.
Now it does one thing: financial news that shows up already machine-readable. Collectors pull from GDELT, SEC EDGAR filings and publisher RSS, and every story gets per-ticker impact analysis, a category and a 1-10 relevance score. We look at ~12k articles a day and fewer than 1 in 5 make the feed. A SEC Form 4 insider filing turns into a scored news item about 6 minutes (median) after it lands on EDGAR https://alphai.io/insider-trading-tracker.
You read it as a REST API or an MCP server (https://alphai.io/mcp), so Claude Desktop, Cursor or any MCP client talks to it with no glue code. The free tier is real: 20 req/min and 100 req/day on both surfaces, no card. There's a live playground with no key and no signup: https://alphai.io/developers
One honest caveat: no price data. We used to carry quotes and even 15-minute delayed data was one of our biggest bills, so we dropped it. Your broker does that better anyway. This is purely the news side, and the relevance score exists because most of what we scan on any given day is junk.
If you wire news into agents, I'd genuinely like to know what metadata you're missing and whether a tool surface like this matches what your agent actually asks for. Happy to get into the pipeline, the scoring, or what it's like to kill the product you named the company after.
How does the data get structured so fast, and do you cover earnings whispers or only formal announcements?
About AlphAI on Product Hunt
“Financial news for AI agents and trading bots”
AlphAI was submitted on Product Hunt and earned 0 upvotes and 3 comments, placing #41 on the daily leaderboard. Market-moving financial news, structured for AI agents and trading automations. Live REST API and MCP server for Claude Desktop, Cursor, and your own agents.
AlphAI was featured in Fintech (47.2k followers), Developer Tools (515.4k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 198k products, making this a competitive space to launch in.
Who hunted AlphAI?
AlphAI was hunted by Mikhail Makeev. 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 AlphAI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Mikhail Makeev
Hey PH 👋
AlphaAI started out as an "AI stock analysis" site. You picked a ticker, we pulled prices and indicators plus recent news, ran a stack of prompts over it and handed back an analyst-style report. It demoed well. We paid for the data, nobody paid us. Turns out people don't buy prompt output. Anyone who cares about the analysis already has ChatGPT or Claude and their own prompts.
What they actually used, quietly, was the news feed the analysis was sitting on. A few were piping it straight into their own agents. So I killed the analysis product and rebuilt around the part that got used.
Now it does one thing: financial news that shows up already machine-readable. Collectors pull from GDELT, SEC EDGAR filings and publisher RSS, and every story gets per-ticker impact analysis, a category and a 1-10 relevance score. We look at ~12k articles a day and fewer than 1 in 5 make the feed. A SEC Form 4 insider filing turns into a scored news item about 6 minutes (median) after it lands on EDGAR https://alphai.io/insider-trading-tracker.
You read it as a REST API or an MCP server (https://alphai.io/mcp), so Claude Desktop, Cursor or any MCP client talks to it with no glue code. The free tier is real: 20 req/min and 100 req/day on both surfaces, no card. There's a live playground with no key and no signup: https://alphai.io/developers
One honest caveat: no price data. We used to carry quotes and even 15-minute delayed data was one of our biggest bills, so we dropped it. Your broker does that better anyway. This is purely the news side, and the relevance score exists because most of what we scan on any given day is junk.
If you wire news into agents, I'd genuinely like to know what metadata you're missing and whether a tool surface like this matches what your agent actually asks for. Happy to get into the pipeline, the scoring, or what it's like to kill the product you named the company after.