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TAMsense
AI product actions that improve conversion to paid
TAMsense helps SaaS companies turn more users into paying customers by generating specific product actions what to change based on the analysis of user behavior across the entire product. 1. Upscales and aligns positioning to better understand the product and its audience 2. Analyzes every user action across every session 3. Delivers specific Product Actions that fix Product and UX issues that break the user journey to payment
I’ve spent 5 years helping companies with product strategy, and I kept seeing the same problem even in YC-backed teams:
They focus on features without being truly aligned and arguing about who the product is for, what value it creates, and why anyone should pay for it.
So I built a custom GPT for my consulting work to make segmentation, ICP, and value proposition more explicit. Then an interesting thing happened: my customers and partners started asking me to use the GPT, even offering me money. So that’s how the idea arrived.
But then we hit the next question:
Does the positioning actually work in the product?
That led me to my co-founder, Constantine, and we created TAMsense — an AI product decision system that helps SaaS companies improve conversion to paid, prove the idea on data, and deliver on the value they promise.
TAMsense analyzes user behavior across the product journey, finds where conversion to paid breaks, and generates specific recommendations on what to improve next.
We’re launching this early, and I’d really love your take:
How does your team figure out what blocks conversion to paid today?
Where does conversion usually break for you?
Do you track AHA moments or other conversion milestones in your product?
About TAMsense on Product Hunt
“AI product actions that improve conversion to paid”
TAMsense was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #55 on the daily leaderboard. TAMsense helps SaaS companies turn more users into paying customers by generating specific product actions what to change based on the analysis of user behavior across the entire product. 1. Upscales and aligns positioning to better understand the product and its audience 2. Analyzes every user action across every session 3. Delivers specific Product Actions that fix Product and UX issues that break the user journey to payment
On the analytics side, TAMsense competes within Analytics, SaaS and Artificial Intelligence — topics that collectively have 680.7k followers on Product Hunt. The dashboard above tracks how TAMsense performed against the three products that launched closest to it on the same day.
Who hunted TAMsense?
TAMsense was hunted by Andrew Chernyshev. 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 TAMsense including community comment highlights and product details, visit the product overview.
Andrew Chernyshev
I’ve spent 5 years helping companies with product strategy, and I kept seeing the same problem even in YC-backed teams:
They focus on features without being truly aligned and arguing about who the product is for, what value it creates, and why anyone should pay for it.
So I built a custom GPT for my consulting work to make segmentation, ICP, and value proposition more explicit. Then an interesting thing happened: my customers and partners started asking me to use the GPT, even offering me money. So that’s how the idea arrived.
But then we hit the next question:
Does the positioning actually work in the product?
That led me to my co-founder, Constantine, and we created TAMsense — an AI product decision system that helps SaaS companies improve conversion to paid, prove the idea on data, and deliver on the value they promise.
TAMsense analyzes user behavior across the product journey, finds where conversion to paid breaks, and generates specific recommendations on what to improve next.
We’re launching this early, and I’d really love your take:
How does your team figure out what blocks conversion to paid today?
Where does conversion usually break for you?
Do you track AHA moments or other conversion milestones in your product?