I let Gemma 4 analyze my credit card statements so I wouldn't have to
The article discusses the development of Swipey, a web app designed to help users manage multiple credit card transactions. Built using Gemma 4, the app analyzes spending patterns and provides insights based on uploaded transaction data. The author highlights the advantages of using open-source AI models for financial management and the potential for future improvements in this area.
- ▪Swipey is a local-first, privacy-focused web app that helps users manage credit card spending across multiple banks.
- ▪The app allows users to upload CSV files of transactions from banks like Chase and Capital One to analyze their spending habits.
- ▪Gemma 4 was used to power Swipey's features, providing insights and grouping similar transactions for easier management.
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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/simonwu/i-let-gemma-4-analyze-my-credit-card-statements-so-i-wouldnt-have-to-4498 |
| Publication time | Sun, 24 May 2026 05:44:43 +0000 |
| Retrieval time | 2026-05-24T06:07:31.076Z |
| Last seen | 2026-05-24T06:07:31.076Z |
| 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 | NBjjiG3GyvvR |
| 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 === 3944996) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Simon Wu Posted on May 24 I let Gemma 4 analyze my credit card statements so I wouldn't have to #devchallenge #gemmachallenge #gemma Gemma 4 Challenge: Build With Gemma 4 Submission This is a submission for the Gemma 4 Challenge: Build with Gemma 4 What I Built Swipey, a local-first, privacy focused web app for people juggling multiple credit cards across multiple banks.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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