techbeat-banner

view by Date

S
M
T
W
T
F
S
123456789
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28

Trending Technology Stories
From February 7, 2026

1

Architecting Trustworthy Healthcare Data Platforms Using Declarative Pipelines

In Digital Healthcare data platforms, data quality is no longer a nice-to-have — it is a hard requirement.

@hacker95231466
2,645 new reads
2

The Hidden Problem With Group Rewards in Multi-Agent AI

Group rewards are breaking your multi-agent RL training. Decoupled normalization keeps coordination intact while stopping gradient collapse.

@praveenmyakala
2,419 new reads
3

How to Use Propensity Score Matching to Measure Down Stream Causal Impact of an Event

How can we know ours ads are making impact that we aim for? What if targeted ads are not working...

@dharmateja
2,100 new reads
4

OpenClaw: An AI Lobster That Gets Work Done

OpenClaw is an open source AI assistant that runs on your machine. Learn how to install it, set it up,...

@praveenmyakala
1,563 new reads
5

Enterprises Don’t Have an AI Problem. They Have an Architecture Problem

Most “enterprise AI” efforts are just tools. Real AI requires architecture, governance, and operating models—not demos and chatbots.

@eagleeyethinker
1,406 new reads
6

Search and Extract: Why This AI Pattern Matters, Tutorial, and Example

​​Learn why search-and-extract matters for AI enrichment and research. Step-by-step tutorial using SERP API, Web Unlocker, and Browser API with...

@antozanini
1,135 new reads
7

Why the $70 Million ai.com Domain Could Become the Front Door to AGI

ai.com launches autonomous AI agents for consumers, founded by Crypto.com CEO Kris Marszalek, with a Super Bowl LX ad premiere...

@ishanpandey
1,104 new reads
8

RAG is a Data Problem Pretending to Be AI

RAG isn’t magic. Most failures come from retrieval: bad chunking, stale docs, weak metadata, and missing evals. Fix the pipeline,...

@davidiyanu
1,084 new reads
9

Poor State Management Breaks Everything (and Why Distributed Systems Do It Better)

Software complexity affects almost every aspect of software engineering.

@wickedseal
1,062 new reads
10

Cache vs. Database: Comparing Memcached and ScyllaDB

A deep benchmark-driven comparison of ScyllaDB and Memcached, revealing when a database can rival a cache in performance.

@scylladb
906 new reads
11

The Telemetry Trap: Why Developer Metrics Corrode the Systems They Claim to Measure

66% of developers do not trust the productivity metrics applied to their work.

@davidiyanu
903 new reads
12

Building a Private AI Research Assistant with Llama

Learn how to build a private AI research assistant using Llama 3.2 and PydanticAI with this hands-on guide.

@praveenmyakala
890 new reads
13

Convert Your Slack Threads Into Code with AI: Meet Kilo for Slack

Kilo for Slack brings AI coding agents into your team's conversations. Tag @Kilo in a Slack thread to ask questions...

@kilocode
871 new reads
15

Your AI Model Isn’t Broken. Your Data Is

Your AI model isn’t failing; your data is. Learn how clean, verified data improves model accuracy and how easy it...

@melissaindia
686 new reads
16

MEXC Achieves 20X Growth in GOLD Futures, Captures Up to 47% Market Share with Zero-Fee Strategy

MEXC’s zero-fee strategy drove 20X growth in gold futures, capturing up to 47% market share and $555M in daily volume.

@mexcmedia
669 new reads
17

Riak as a Reference Implementation of Dynamo-Style Leaderless Databases

A retrospective of Riak database, covering its Dynamo design, Erlang implementation, consistency options, MapReduce support, and Bitcask storage engine.

@theirix
555 new reads
18

SnapPoint: A Hard Reset for Your Dev Machine

SnapPoint helps developers audit, clean, and realign their system by finding ghost binaries, PATH conflicts, and leftover tool junk.

@alexcloudstar
506 new reads
19

I Just Wanted Code Templates, but I Ended Up Writing a WebStorm Plugin

Discover how a developer transformed monorepo boilerplate frustration into a custom WebStorm plugin.

20

MEXC 2025 Report: Zero-Fee Strategy Delivers $1.1B in User Savings, Capturing Leading Market Share

MEXC’s 2025 report reveals how zero-fee trading saved users $1.1B, drove liquidity, and captured leading crypto market share.

@mexcmedia
473 new reads