Launching Intelens — a tool to catch subscriptions before they quietly drain your money
Hey everyone 👋
I’m launching Intelens — built around a problem that’s easy to ignore but expensive over time:
👉 subscriptions you forget… but keep paying for
The trigger
This started after noticing how easy it is to lose track of recurring payments.
Not because they’re big — but because:
They’re spread across different tools/accounts
They don’t demand attention
You only notice after you’ve already been charged
What’s different here
Most tools show where your money went.
Intelens focuses on:
👉 what’s about to leave your account next
Core features
Detects recurring payments automatically
Projects upcoming subscription charges
Gives a forward-looking view of your cash flow
What was harder than expected
Recurring detection isn’t clean (messy transaction data)
Avoiding false positives took multiple iterations
The real challenge was making the output actually useful, not just data
Current stage
The core system is live and working.
Now I’m trying to validate:
Does this actually change behavior?
Or is it just “nice to see” data?
Looking for feedback on:
Is “future cash visibility” something you care about?
Would you trust automatic subscription detection?
What would make this a must-use for you?
Appreciate any direct feedback — especially critical ones.
Hi!
The "what's about to leave your account" angle is the right frame — it's genuinely different from the dozens of "here's where your money went" tools. Retroactive data is interesting, forward-looking data is actionable.
To your validation question: the behavior change only happens if the timing is right. Showing me a subscription 30 days before renewal is interesting. Showing me 3 days before, when I can still cancel, is useful. The window between "notice" and "still able to act" is probably the core UX problem worth solving.
On trust for automatic detection: the false positive problem you mentioned is real and it's a trust killer. One miscategorized transaction and users start second-guessing everything. Showing confidence scores or letting users quickly confirm/reject detections would help — makes the system feel collaborative rather than authoritative before it's earned that trust.
That’s a sharp read — especially the timing insight. The real value isn’t just predicting upcoming charges, it’s hitting that narrow decision window where users still have leverage. That’s exactly the behavior change zone we’re optimizing for, not just awareness.
On detection trust —
Exactly — awareness without leverage is just anxiety. The window is everything. Curious to see how you surface that timing in the UI.
Hope you will give it a try...
Will do — the timing angle is what makes it worth trying. Curious to see how it handles recurring annual charges.
I hope you find it valuable and enjoy the experience.
Thanks — will report back.