I built a SaaS that automatically purges ghost subscribers from Beehiiv using AES-256-GCM encrypted API keys and Inngest background jobs
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.
- ▪ListTrim was created to help newsletter owners reduce costs by purging inactive subscribers from their lists.
- ▪Ghost subscribers can inflate billing tiers and negatively affect email engagement metrics.
- ▪The tool employs a unique method to identify ghost subscribers, ensuring that genuine Apple Mail users are not incorrectly flagged.
DEV.to (Top) files mainly under programming. We currently carry 4,924 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/listtrim_founder/i-built-a-saas-that-automatically-purges-ghost-subscribers-from-beehiiv-using-aes-256-gcm-encrypted-32jp |
| Publication time | Wed, 03 Jun 2026 02:14:28 +0000 |
| Retrieval time | 2026-06-03T02:41:48.967Z |
| Last seen | 2026-06-03T02:41:48.967Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 5FBkfeCv9TfQ |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
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).