
"No Vendor Lock-In" Is Code for "No Product"
5 Oct 2026"No Vendor Lock-In" Is Code for "No Product"We used to judge models on cost per million tokens. And to that I say "bull." “No vendor lock-in” is the weakest answer that you can give when your product is a clone of a successful product with a model picker. Today any product that employs AI (or AI agents) to do anything for a specific use case is a custom harness. @ycombinator said as much recently in one of their Paper Club talks recently.
- ▪5 Oct 2026"No Vendor Lock-In" Is Code for "No Product"We used to judge models on cost per million tokens.
- ▪And to that I say "bull." “No vendor lock-in” is the weakest answer that you can give when your product is a clone of a successful product with a model picker.
- ▪Today any product that employs AI (or AI agents) to do anything for a specific use case is a custom harness. @ycombinator said as much recently in one of their Paper Club talks recently.
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Record
| Original publisher | ferran.sh |
| Canonical URL | https://ferran.sh/writing/no-vendor-lock-in-is-code-for-no-product |
| Publication time | Sun, 04 Oct 2026 22:51:42 +0000 |
| Retrieval time | 2026-10-04T23:51:36.798Z |
| Last seen | 2026-10-04T23:51:36.798Z |
| 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 | yGt39Spf3pcq · 1 stories |
| 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
5 Oct 2026"No Vendor Lock-In" Is Code for "No Product"We used to judge models on cost per million tokens. Cost per task is the number I trust."What happens when Claude is no longer the most intelligent model?" "What happens if Muse just gets really bad tomorrow?" "What if OpenAI just jacks up the prices of these models?" These are all arguments I've heard for when people say that they're building an existing product with a model picker. And to that I say "bull." “No vendor lock-in” is the weakest answer that you can give when your product is a clone of a successful product with a model picker. I'll tell you why. Today any product that employs AI (or AI agents) to do anything for a specific use case is a custom harness.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at ferran.sh.