CLUSTER AMONG-APPLICATIONS-CHOOSE · 7 ENTRIES · EARLIEST ENTRY 2025-02-23

AI full-stack app generators

This cluster consists of web apps that generate full-stack applications from prompts, with users able to choose among multiple AI language model providers. The dated history shows entries in February and March 2025, a grouping of four in May 2025, and one in January 2026. The traction leaders are n-e_g_a, boltdiy, and boltmain, each with 0 stars.

Entry timeline

ENTRY TIMELINE

FEB 2025: 1MAR 2025: 1MAY 2025: 4JAN 2026: 1
FEB 2025JAN 2026

Members by activity

Activity signals, not revenue.

Build origin · 1 hand-coded · 6 unlabelled

Operator · 1 hobby · 6 open source

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 7 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01n-e_g-a0★8 mostale—hand-codedopen sourceWeb platform that generates full-stack applications from chat prompts, letting users choose among multiple AI language model providers for each request.
  2. 02boltdiy0★1 yrabandoned—open sourceWeb app that generates full-stack applications from prompts in the browser and lets users choose among multiple AI language models.
  3. 03boltmain0★1 yrabandoned—open sourceWeb app that generates full-stack applications from prompts in the browser and lets users choose among multiple AI language models.
  4. 04AIC0★1 yrabandoned—open sourceWeb app that generates full-stack applications from prompts in the browser and lets users choose among multiple AI language models.
  5. 05bolt-diy0★1 yrabandoned—open sourceWeb app that generates full-stack applications from prompts in the browser and lets users choose among multiple AI language models.
  6. 06bolt.new.llms-0★1 yrabandoned—hobbyWeb app that generates full-stack applications from prompts and lets users choose the AI model for each interaction.
  7. 07-0★1 yrabandoned—open sourceAI web application that generates full-stack apps from prompts and lets users choose from multiple large language models.