Signalcrest
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aientity · corroborated across sources

rag

for ai founders

Steady

0

signal score

1

live items

Steady

7-day est. ~0

devto

Why this scored 0

every term, weighted
Velocity+0.0 / 40 max

Engagement per hour, normalized against the fastest item on its own source

Acceleration+0.0 / 25 max

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25 max

How many independent communities are talking about the same entity

Recency+1.4 / 10 max

Decays to zero over 14 days

Saturation penalty3.1 / 30 max

Subtracted once something is big and old — we rank what's next, not what's peaked

Composite-1.7 → clamped to 0

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On a topic's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement. Full methodology

Outlook

high confidence · estimate, not a guarantee

7-day

~0

range 00

14-day

~0

range 00

30-day

~0

range 00

Signal history

7-day window (free)

— — projected trajectory (estimate, not a guarantee)

The evidence

The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.

  1. 149

    Trust Before Fusion: QIMG-7 and Source-Aware Resolution for Polluted Multimodal RAG

    New multimodal reasoning approach improves performance in polluted environments. — for ai researchers, multimodal model developers

    arxivaiSteady13d ago
  2. 248

    AI builder essentials: tokens, context windows and RAG 101

    AI builder essentials — for ai founders, ml engineers

    devtoaiCooling3d ago
  3. 331

    RAG isn't an AI problem. It's a data engineering problem wearing an AI hat.

    RAG is data engineering — for ai engineers

    devtoaiSteady🔗 2 · rag6d ago
  4. 412

    FinSAgent: Corpus-Aligned Multi-Agent RAG Framework for Evidence-Grounded SEC Filing Question Answering

    Multi-agent framework for question answering — for nlp devs

    arxivaiSteady🔗 2 · rag6d ago
  5. 59

    That Arrow in Every RAG Diagram Cost Us Three Weeks.

    RAG diagram issue — for ai devs

    devtoaiSteady11d ago
  6. 69

    You Probably Don't Need a Vector Database for RAG

    devtoSteady18d ago
  7. 78

    Ask me anything (RAG)

    AI Q&A — for ai founders

    devtoaiSteady10h ago
  8. 88

    Where Does RAG Actually Cost You Money? I Decided to Stop Guessing.

    RAG costs revealed — for ai founders

    devtoaiSteady4d ago
  9. 98

    Why RAG gives wrong answers (and how to fix retrieval failures)

    Rag failures — for ai researchers

    devtoaiSteady10d ago
  10. 107

    Our AI support agent doesn't use RAG - here's the math

    AI support agent — for ai devs

    devtoaiSteady11d ago
  11. 117

    Phase 4: Retrieval Quality & Grounded Answers

    Improved answer quality — for ai researchers

    devtoaiSteady7d ago
  12. 127

    Retrieval-Augmented Self-Recall: The RAG Problem Nobody Talks About

    RAG problem discussed — for ai researchers

    devtoaiSteady10d ago