One Decision Every Morning
AimFast.Dev is an automated trend discovery platform. Every night, our pipeline scans 21+ global sources, scores emerging tech terms, and generates one actionable product opportunity by morning.
What We Do
Signal Collection
19 independent collectors run in parallel every night, pulling data from developer platforms (Hacker News, GitHub, DEV, Lobsters), social media (X/Twitter, Reddit, YouTube), package registries (npm, PyPI), AI/ML hubs (HuggingFace, ArXiv), and consumer platforms (Douban, Xiaohongshu, Product Hunt). One failure never blocks another.
Signal Processing & Scoring
Raw signals are deduplicated, clustered, and scored using our E-P-A framework (Evidence × Plain-English × Action). Cross-platform detection flags signals appearing in ≥2 independent sources. C-end (consumer) opportunities are auto-detected so we don't miss what developer-only tools overlook.
Trend Term Pipeline
Terms are extracted, normalized, classified by maturity stage (Nascent → Emergent → Validating → Rising), and scored with the Builder Score — a 5-factor weighted composite that measures source diversity, growth velocity, authority, mention volume, and freshness. Only terms validated across multiple independent sources surface on the dashboard.
Daily Report Generation
An LLM (DeepSeek) generates a structured daily report — not a template, but a context-aware analysis that follows strict rules: every claim needs evidence, every product recommendation names a buyer persona, and every opportunity includes a concrete price anchor. A secondary LLM pass extracts structured decision data for the Dashboard.
Methodology
The core insight behind AimFast.Dev is simple: a term appearing in 3 unrelated communities is a far stronger signal than one with 500 mentions in a single echo chamber.
Our Builder Score formula weights source_count ×15above all other factors, reflecting this cross-validation principle. Growth velocity (×12) captures momentum direction. Freshness decay (×10) ensures the dashboard surfaces what's happening now, not last month.
Every signal must clear a minimum bar: appear in ≥2 independent sources, survive deduplication (85% title similarity threshold), and pass the E-P-A scoring rubric. Signals that fail to produce unique insights for 7 consecutive days are flagged for review — not silently dropped.
For the complete technical reference — including the exact scoring formulas, pipeline architecture, and LLM prompt methodology — see llms-full.txt (2,656 words, AI-readable format).
Transparency
All trend data is published as static JSON. The pipeline is open-source. We believe the best way to build trust in AI-generated market intelligence is to make the raw data and methodology fully inspectable.
- Source code on GitHub — the entire pipeline
- Dashboard JSON — daily bundle with signals, reports, and decisions
- llms-full.txt — complete AI-readable methodology reference
- llms.txt — concise AI site index
- Sitemap — all indexed pages
Contact
For questions, feedback, or collaboration inquiries: support@aimfast.dev