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ProactiveInquirer

Asking for What Was Never Requested: horizontal and vertical proactivity in LLM agents. Need-graph metrics (no LLM judge) and Q&D, which trains a questioner from the consequences of its questions.

Details

External ID
1389518451
Source
GITHUB
Company
—
Product
ProactiveInquirer
Website domain
github.io
Launched
Sept. 26, 2026
Cohort
—
Upvotes
9
Upvotes percentile
0.21822956699974377
Tags
agent-evaluation, clarifying-questions, customer-service, dpo, huggingface, information-seeking, large-language-models, llm-agents, lora, machine-learning, multi-hop-qa, nlp, peft, preference-learning, proactive-agents, question-asking, qwen3, rag, retrieval-augmented-generation, tau-bench
Fetched at
Sept. 30, 2026, 5:02 p.m.
Updated at
Sept. 30, 2026, 5:02 p.m.

Enrichment

Theme
specialized AI models and agent reasoning tools
Vertical
—
Function
—
Audience
—
AI stance
—
Project type
—
Normalized one-liner
—
Manually corrected
False

Competitors

Other products that read as similar to this one — 63 launches clear the similarity bar, closest 8 shown.

Attention rank: #47 of 64 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 326 days after the earliest competitor.

Other launches for this product