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).
I’m an engineer and options trader, and I built Stackfini to solve a problem I kept running into: most options scanners begin with premium, while I wanted to begin with the underlying company.
Stackfini scans the market for cash-secured put opportunities on companies a trader may actually be comfortable owning if assignment occurs. It filters the noise and evaluates factors such as:
• Underlying quality and market conditions • Assignment-risk context • Estimated annualized return • Liquidity and execution • Downside protection and cash collateral • Analyst sentiment and earnings exposure
The results are presented as clear, ranked research ideas instead of an overwhelming options chain. The interface is designed to be beginner friendly, while still offering useful detail, filters, saved views, relevant news, and updates multiple times throughout the market day.
There’s also a public cash-secured put calculator that can be used without creating an account.
Stackfini is a research and educational tool—not a source of personalized investment advice or guaranteed trade recommendations.
I’d especially appreciate feedback on:
• Whether each option idea is easy to understand • Which measurements are most useful when evaluating a CSP • What would make the research workflow more valuable
Thanks for taking a look. I’ll be here to answer questions and learn from your feedback!
No comment highlights available yet. Please check back later!
About Stackfini on Product Hunt
“Cash-Secured Put Scanner & Options Research”
Stackfini was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #228 on the daily leaderboard. A cash-secured put research application with seven days of complimentary access and one-time or monthly access options.
Stackfini was featured in Productivity (665.6k followers), Fintech (47.8k followers) and Online Learning (3.8k followers) on Product Hunt. Together, these topics include over 207.5k products, making this a competitive space to launch in.
Who hunted Stackfini?
Stackfini was hunted by Sam Nagahawatte. 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 Stackfini stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Sam Nagahawatte
Hi Product Hunt!
I’m an engineer and options trader, and I built Stackfini to solve a problem I kept running into: most options scanners begin with premium, while I wanted to begin with the underlying company.
Stackfini scans the market for cash-secured put opportunities on companies a trader may actually be comfortable owning if assignment occurs. It filters the noise and evaluates factors such as:
• Underlying quality and market conditions
• Assignment-risk context
• Estimated annualized return
• Liquidity and execution
• Downside protection and cash collateral
• Analyst sentiment and earnings exposure
The results are presented as clear, ranked research ideas instead of an overwhelming options chain. The interface is designed to be beginner friendly, while still offering useful detail, filters, saved views, relevant news, and updates multiple times throughout the market day.
There’s also a public cash-secured put calculator that can be used without creating an account.
Stackfini is a research and educational tool—not a source of personalized investment advice or guaranteed trade recommendations.
I’d especially appreciate feedback on:
• Whether each option idea is easy to understand
• Which measurements are most useful when evaluating a CSP
• What would make the research workflow more valuable
Thanks for taking a look. I’ll be here to answer questions and learn from your feedback!