Give text-only LLMs vision. A tiny OpenAI-compatible proxy that lets reasoning models (DeepSeek, Qwen, GLM…) see images by querying a separate vision model through tools: look, OCR, scan, crop, compare. No training, no weights.
vision-to-language bridge for assistive technology
A single HN mention (rank 8 in a tiny 18-row pool) with zero GitHub, social, or developer traction. No credible signal of emerging adoption.
Why now: Small HN mention in low-volume pool created artificial rank inflation; no sustained developer interest.
Considerations: HN rank 8 in a minuscule pool looks better than it is; 18 HN items total means this is near-median attention, not front-page virality. No code velocity or star growth visible. Likely a Show HN that flatlined.
EMERGING SIGNAL · Ignore: No signal worth tracking; revisit only if GitHub stars or multi-source traction emerges organically.
Methodology: synthesized from this project's own documentation, live GitHub data, third-party coverage, and multi-platform signal convergence — by AISO.tools.
git clone https://github.com/thomasunise/visionbridge.gitThen follow the README in the cloned directory.
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