🔃 Feed Algorithms

Chronological vs Ranked, Timeline Optimization, User Engagement, Content Surfacing

Autonomous E-commerce Intelligence Agent - From Data to Decisions
dev.to·4h·
Discuss: DEV
📊Feed Optimization
Show HN: Writer J – AI Content Generator with 7-Step SEO Workflow
writer-j.com·1d·
Discuss: Hacker News
⚖️Feed Ranking
AppBITS: Sorted Seems Moribund
tidbits.com·6h
📲syncthing
Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
arxiv.org·18h
🎛️Feed Filtering
Filter smarter: A better way to investigate fraud with Search
fingerprint.com·23h
🔍BitFunnel
My AI Workflow for Understanding Any Codebase
steipete.me·11h
⚡Proof Automation
Detect Narrative Threats with AI Personas
askrally.com·2d·
Discuss: Hacker News
📡Feed Archaeology
Introduction to the Fundamentals of Amazon Redshift
redshift-observatory.ch·13h
🗃️Database Storage
The Data Delusion: Why Brands Trust Dashboards More Than People - And Why That’s a Mistake
hackernoon.com·14h
🎯Recommendation Metrics
What LLMs Know About Their Users
schneier.com·11h·
Discuss: Hacker News
💻Local LLMs
A Briefing on Logistic Regression
blog.engora.com·10h·
Discuss: Hacker News
🧠Machine Learning
Show HN: Autohive – Build AI agents the easy way for everyday teams
autohive.com·2h·
Discuss: Hacker News
⚙️Batch Processing
Show HN: Flokkk – Discover Useful links through community curation
news.ycombinator.com·9h·
Discuss: Hacker News
🔍BitFunnel
Show HN: Requests-Based Google Maps Scraper
apify.com·1h·
Discuss: Hacker News
🔍BitFunnel
How To Prepare Your API for AI Agents
thenewstack.io·8h
🔌Interface Evolution
Driving cost-efficiency and speed in claims data processing with Amazon Nova Micro and Amazon Nova Lite
aws.amazon.com·5h
🌊Stream Processing
Half of social media marketers can't imagine doing their jobs without AI - yet most admit wasting money on it
techradar.com·13h
📊Feed Optimization
Predictive Analytics for Collaborators Answers, Code Quality, and Dropout on Stack Overflow
arxiv.org·1d
📊Feed Optimization
Using an LLM for query planning in RAG –> 40% better answer relevance
techcommunity.microsoft.com·1d·
Discuss: Hacker News
🔍Information Retrieval
Machine Learning Fundamentals: accuracy with python
dev.to·1d·
Discuss: DEV
👁️Observatory Systems