I built an email cleaner. CSV parsing took longer than the actual validators.
Damian Forzani has developed an email list cleaner called databridge.so that provides detailed explanations for flagged emails. Unlike typical cleaners that only offer a confidence score, this tool includes specific reasons for each flag in the cleaned CSV. The project faced challenges, particularly with CSV parsing, which took longer than expected due to various formatting issues.
- ▪The email cleaner provides a detailed explanation for each flagged email, enhancing transparency.
- ▪CSV parsing was a significant challenge due to various formatting issues such as mixed line endings and improper escaping.
- ▪The tool aims to improve user understanding by providing context for flagged emails rather than just a confidence score.
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| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/damianfz/i-built-an-email-cleaner-csv-parsing-took-longer-than-the-actual-validators-58jb |
| Publication time | Thu, 21 May 2026 13:16:10 +0000 |
| Retrieval time | 2026-05-21T13:21:11.070Z |
| Last seen | 2026-05-21T13:21:11.070Z |
| 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 | SnFELrA-ojgf |
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| Publisher visit | Yes — open original |
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| 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 === 3944115) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Damian Forzani Posted on May 21 I built an email cleaner. CSV parsing took longer than the actual validators. #webdev #api #typescript #showdev I've been building databridge.so by myself for a while. It's an email list cleaner that explains every decision. Most cleaners give you back "74/100, risky" and that's all you get. You cannot audit it. So I built one where every row in the cleaned CSV carries the actual reason it was flagged. A few things I expected to be quick that weren't.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).