Launched this week
SmartSpend AI
Subscription intelligence, embedded inside your fintechyour
8 followers
Subscription intelligence, embedded inside your fintechyour
8 followers
Embed AI-powered subscription tracking, savings recommendations, and renewal alerts directly inside your fintech app. SOC 2 ready, three lines to integrate.
Plugged it into a test app and the three-line setup was honestly painless, renewal alerts showed up within minutes. Curious how the savings recommendations hold up with messier real-world data.
@suruc86423 Hi Sebahat, thank you so much for the feedback! Thrilled to hear the three-line integration and smart alert setup was painless for you.
Regarding messier, real-world statement data: that is exactly where our core AI transaction filter shines. It doesn't look for perfect merchant descriptions; instead, it runs semantic analysis on raw transaction text fields to expose hidden or overlapping subscription patterns. We are continuously updating our parsing logic to handle even the messiest edge cases!
How does the AI handle subscriptions billed in different currencies or through non-standard merchants that don't have clean API hooks yet?
@ersinargamlnr Hi Ersin, great question!
Our backend leverages LLM transaction parsing combined with real-time currency conversion APIs. When a messy, non-standard merchant string hits our system, the AI analyzes historical patterns and semantic indicators rather than relying solely on fixed merchant IDs or clean API hooks. It normalizes the data, detects the recurring billing frequency, and cross-references an exchange rate API to standardize the cost into the user's primary dashboard currency.
You can check out how clean the interface visualizes this data directly in our live interactive sandbox: subsmartspend.lovable.app/dashboard
How does the AI actually figure out which charges are subscriptions versus random one-off purchases from a user's bank feed?
@remziyeb25408 Hi Remziye, thanks for asking!
Our system separates recurring bills from one-off purchases using a hybrid approach. First, it analyzes time-series data to flag matching transaction amounts that repeat at fixed intervals (monthly, quarterly, annually). Second, it uses an LLM-powered semantic parsing layer to read the raw transaction strings. Even if the billing date shifts slightly or the merchant name string changes slightly, the AI identifies contextual markers that signify subscription-based services (like software licenses, streaming portals, or memberships) and isolates them from random daily transactions.You can see how cleanly it filters these out in our live sandbox: subsmartspend.lovable.app/dashboard
The three-line integration pitch is genuinely impressive, makes me want to actually try embedding it instead of adding it to my "someday" list.
@ceydausoa Hi Ceyda, thank you so much!
Making the integration seamless was a top priority for us. We know how packed product roadmaps are, so we designed SubSmartSpend to deliver premium AI capabilities without forcing developers to rewrite their core infrastructure. We'd love to see you drop it into a project! Feel free to explore the active UI flows right here in our presentation sandbox: subsmartspend.lovable.app/dashboard