I tried to build a SaaS. I'm shipping tiny libraries instead.
The author initially attempted to build a SaaS product but realized that their strengths lay in coding rather than marketing. They pivoted to creating small, focused libraries that address specific issues with the Anthropic SDK. This approach allows them to leverage their coding skills while building a portfolio of work without the pressures of traditional product development.
- ▪The author created three small libraries for the Anthropic SDK in just five days.
- ▪Each library is under 500 lines of TypeScript and has zero runtime dependencies.
- ▪The goal is to demonstrate coding ability and achieve organic distribution through npm.
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Story provenance
Source · retrieval · rights · ranking — open for full record
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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/nuan_xiang_8e56577bde2fad/i-tried-to-build-a-saas-im-shipping-tiny-libraries-instead-1n05 |
| Publication time | Sun, 24 May 2026 00:57:05 +0000 |
| Retrieval time | 2026-05-24T01:07:28.629Z |
| Last seen | 2026-05-24T01:07:28.629Z |
| 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 | PqvvBOAeTaix |
| 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 === 3948385) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } nuan xiang Posted on May 24 I tried to build a SaaS. I'm shipping tiny libraries instead. #saas #startup #testing #typescript I tried to build a SaaS. I'm shipping tiny libraries instead. For 7 days I poured energy into ChatProof — a testing framework for AI chat UIs. The problem was real: every team building Claude/GPT wrappers hits the same streaming-render bugs, and existing e2e tools weren't built for non-deterministic LLM output. I had a competitive analysis. I had a PRD.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).