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).
AInvestor
Quantitative stock research with scoring & backtesting
AInvestor is a quantitative investing platform that helps investors research stocks using data, valuation models, scoring systems, and historical backtesting. Instead of relying on ad-hoc analysis, AInvestor applies a structured framework that combines DCF, EPV, trading multiples, financial health, competitive position, macro risk, and risk-adjusted logic into one stock scoring system.
I built AInvestor because I wanted a more systematic way to analyze stocks — something between traditional stock research and quantitative investing.
Instead of focusing on a single metric, the platform combines valuation models, financial quality, risk signals, and portfolio logic into a structured scoring system. I also added a backtest calculator so users can test different periods against the S&P 500.
The goal isn’t to promise a “market-beating formula,” but to make investing more transparent, measurable, and data-driven.
I’d genuinely love feedback on:
• UX / usability • Feature ideas • Missing metrics or research workflows • What would make this useful for your investing process
Happy to answer questions all day — thanks for checking it out!
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About AInvestor on Product Hunt
“Quantitative stock research with scoring & backtesting”
AInvestor was submitted on Product Hunt and earned 0 upvotes and 1 comments, earning #1 Product of the Day. AInvestor is a quantitative investing platform that helps investors research stocks using data, valuation models, scoring systems, and historical backtesting. Instead of relying on ad-hoc analysis, AInvestor applies a structured framework that combines DCF, EPV, trading multiples, financial health, competitive position, macro risk, and risk-adjusted logic into one stock scoring system.
AInvestor was featured in Fintech (47.1k followers), Investing (26.6k followers) and Finance (6k followers) on Product Hunt. Together, these topics include over 28.5k products, making this a competitive space to launch in.
Who hunted AInvestor?
AInvestor was hunted by Ivan Knezevic. 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 AInvestor stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Ivan Knezevic
Hey,
I’m Ivan, creator of AInvestor.
I built AInvestor because I wanted a more systematic way to analyze stocks — something between traditional stock research and quantitative investing.
Instead of focusing on a single metric, the platform combines valuation models, financial quality, risk signals, and portfolio logic into a structured scoring system. I also added a backtest calculator so users can test different periods against the S&P 500.
The goal isn’t to promise a “market-beating formula,” but to make investing more transparent, measurable, and data-driven.
I’d genuinely love feedback on:
• UX / usability
• Feature ideas
• Missing metrics or research workflows
• What would make this useful for your investing process
Happy to answer questions all day — thanks for checking it out!