CLUSTER LANGUAGE-WEB-AMONG · 5 ENTRIES · EARLIEST ENTRY 2026-05-04
Multi-model web app builders
This cluster consists of web apps that generate full-stack applications from natural-language prompts while letting users select among multiple large language models. The dated history before the index start shows four entries in May 2026 and one in June 2026, an early but modest pattern. All traction leaders (Boltany, boltdiy, hr-portal) show zero stars, so no competitor has established a clear activity advantage.
Entry timeline
ENTRY TIMELINE
Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.
Members by activity
Activity signals, not revenue.
Build origin · 1 hand-coded · 4 unlabelled
Operator · 1 hobby · 4 open source
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 5 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 01Boltany0★3 mo—hand-codedhobbyWeb app builder that lets users choose which large language model to use for each development prompt.
- 02boltdiy0★5 mo—open sourceWeb app that generates full-stack web applications from natural-language prompts and lets users choose among many language models.
- 03hr-portal0★5 mo—open sourceWeb app that generates full-stack web applications from natural-language prompts and lets users choose among many language models.
- 04analytics-dashboard0★5 mo—open sourceWeb app that generates full-stack web applications from natural-language prompts and lets users choose among many language models.
- 05bolt-diy0★5 mo—open sourceWeb app that generates full-stack web applications from natural-language prompts and lets users choose among many language models.
Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.