Nafees Ahamad

We're holding a top spot and this is the final sprint! If Spira looks useful to you, a vote in the next few hours counts the most.

https://www.producthunt.com/prod...

We launched a SaaS recently and noticed a cluster of accounts created within minutes of each other that never confirmed email or returned after signup. We want to keep our user table healthy without accidentally deleting real users.

Curious what other founders do in practice, more specifically:

• Do you auto-delete accounts after X days without email confirmation? If so, what timeframe worked for you?

• Do you keep soft-deleted rows for analytics or GDPR reasons? Any retention windows you recommend?

• If you have automated detection, what signals did you use (IP clusters; identical metadata; signup rate spikes)?

The research on how AI systems decide what to trust is clearer than you might think. It comes down to a few core signals that are measurable and actionable.

Citations are the strongest signal. A study from the University of Notre Dame and Deloitte found that simply having citations in an AI response increases user trust significantly even when the citations themselves are random . The presence of sources signals credibility. The act of checking them signals distrust.

E-E-A-T is no longer just Google's framework. It has become the core principle AI systems use to decide what (and who) to trust . AI systems prioritize Experience, Expertise, Authoritativeness, and Trustworthiness when evaluating sources. They look for signs that a real practitioner stands behind the advice detailed bylines, credentials, first-hand narratives, and verifiable experience

Perceived gatekeeping and information completeness matter. Users trust Google because it performs credible gatekeeping . Wikipedia earns trust through collective curation. AI systems look for similar signals: is there evidence of editorial oversight? Is the information comprehensive enough to answer the query completely?