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I built a SaaS that automatically purges ghost subscribers from Beehiiv using AES-256-GCM encrypted API keys and Inngest background jobs

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I built a SaaS that automatically purges ghost subscribers from Beehiiv using AES-256-GCM encrypted API keys and Inngest background jobs
TL;DR · WeSearch summary

Rodrigue Shema developed a SaaS called ListTrim to automatically remove ghost subscribers from Beehiiv. The tool addresses the issue of inflated subscriber counts that lead to higher billing tiers and negatively impact email deliverability. ListTrim uses a multi-signal qualification method to accurately identify ghost subscribers while minimizing false positives.

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Original publisherDEV.to (Top)
Canonical URLhttps://dev.to/listtrim_founder/i-built-a-saas-that-automatically-purges-ghost-subscribers-from-beehiiv-using-aes-256-gcm-encrypted-32jp
Publication timeWed, 03 Jun 2026 02:14:28 +0000
Retrieval time2026-06-03T02:41:48.967Z
Last seen2026-06-03T02:41:48.967Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
Cluster5FBkfeCv9TfQ
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3965533) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Rodrigue Shema Posted on Jun 3 I built a SaaS that automatically purges ghost subscribers from Beehiiv using AES-256-GCM encrypted API keys and Inngest background jobs #typescript #saas #webdev #security I run a newsletter on Beehiiv. About six months ago I noticed my open rates were sliding while my subscriber count was growing. The two numbers were moving in opposite directions and I could not figure out why until I pulled the raw data.

Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).

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