Offline-First Flutter: How We Built a CRM That Manages 100K+ Leads With No Internet
The article discusses the development of an offline-first CRM system for real estate agents managing over 100,000 leads monthly. It emphasizes the importance of a local database as the primary source of truth, allowing users to operate without internet connectivity. Key architectural decisions are highlighted, including local writes, queuing sync operations, and conflict resolution strategies.
- ▪The AM Live CRM was built to function without internet connectivity, crucial for real estate agents in remote areas.
- ▪The system uses a local database as the primary source of truth, ensuring that all operations are performed locally first.
- ▪Sync operations are queued and processed only when connectivity is restored, preventing data loss and ensuring consistency.
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/saqrelfirgany/offline-first-flutter-how-we-built-a-crm-that-manages-100k-leads-with-no-internet-81g |
| Publication time | Sat, 23 May 2026 07:05:51 +0000 |
| Retrieval time | 2026-05-23T07:37:25.773Z |
| Last seen | 2026-05-23T07:37:25.773Z |
| 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 | KMXW6WWX7Na6 |
| 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 === 3947211) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Ahmed ElFirgany Posted on May 23 Offline-First Flutter: How We Built a CRM That Manages 100K+ Leads With No Internet #flutter #dart #architecture #mobile Most apps quietly assume the network is always there. Then a real user walks into a basement, a half-built apartment tower, or an elevator — and the app falls apart. For a real-estate sales agent, that moment isn't a glitch. It's a lost lead, and a lost commission.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).