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Market Eyes Live

The judgment layer between your AI and your broker

Most finance apps hand you data and leave you to guess. Market Eyes runs three engines built by career finance professionals: MELANY scores every US stock 0 to 100 across eight sourced factors, PRISM ranks conviction, APEX writes the plan with one entry zone. Every rating is graded in public against what the market did next, with the validation methods published in full. The same engine answers your AI through a free MCP server. Plus Lock Radar for mortgage rates. Free to start on iOS and web.

Top comment

Hey Product Hunt, I'm Brad, founder of Market Eyes Live. By day I am a senior banker at a major U.S. bank. I have spent my career inside institutional risk discipline, and I built Market Eyes to put that discipline in your pocket. Here is what I kept seeing: the new "AI investing" apps are chatbots that guess, and the data platforms hand you fifty charts and leave you to reach your own conclusion. Neither takes a position. Neither gets graded. And underneath, half of them are the same product: a language model wrapped around a free data feed. There is no wrapper here, and no language model in the scoring path. We built the engine. Market Eyes does both. Three engines, built like bank infrastructure: MELANY scores any US-listed stock or ETF, 11,000+ of them, from 0 to 100 across eight factors, every number traced to a source. No language model anywhere in the scoring path. PRISM turns the score into a conviction tier. Today it rates MU Highest Conviction while scoring its risk factor 25 out of 100, and it shows you both. The ugly number stays on the page. APEX writes the plan: one entry zone, one alert level, and the specific risks named before you buy, free when you make an account. Then we grade ourselves in public. Every published rating is recorded and scored against what the market actually did next. The risk rules are stress-tested across 19 years of US market history, 2008, COVID and 2022 included, and the validation study is published in full: marketeyeslive.com/melany-validation-study.html And you do not have to do this alone, which is the part I did not expect to love. Everyone gets a free $100,000 practice account, no real money at risk. Pull your group chat in, start a league, and run head to head pick battles until the leaderboard settles who actually called it. The money is fake. The bragging rights are not. One more thing: the app is one client. The engine is open through a free MCP server, no API key, so your Claude or Cursor can pull the same ratings, and you can build your own client on it: marketeyeslive.com/mcp-server Drop a ticker in the comments and I will post exactly what the engine says about it, factors, risks and all. And to the early testers who lived in this thing before it was ready and told me plainly what was broken: thank you. A good part of what is here came from you. None of this is financial advice.

About Market Eyes Live on Product Hunt

The judgment layer between your AI and your broker

Market Eyes Live was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #37 on the daily leaderboard. Most finance apps hand you data and leave you to guess. Market Eyes runs three engines built by career finance professionals: MELANY scores every US stock 0 to 100 across eight sourced factors, PRISM ranks conviction, APEX writes the plan with one entry zone. Every rating is graded in public against what the market did next, with the validation methods published in full. The same engine answers your AI through a free MCP server. Plus Lock Radar for mortgage rates. Free to start on iOS and web.

On the analytics side, Market Eyes Live competes within iOS, Fintech and Investing — topics that collectively have 185.2k followers on Product Hunt. The dashboard above tracks how Market Eyes Live performed against the three products that launched closest to it on the same day.

Who hunted Market Eyes Live?

Market Eyes Live was hunted by Market Eyes Live . 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 Market Eyes Live including community comment highlights and product details, visit the product overview.