Yoto

The world doesn’t reward effort. It rewards results. The secret? Leverage.

Leverage: The Shortcut to Outperforming Everyone

“I never thought to hear father call on God again. But yo’ heard him say, ‘So help me God!’”

ANGEL VISITS.

For the last decade, technology promised to ‘make the world a better place’. But is it delivering? 

Are You Building an Incredibly Complicated Piece of Engineering Just to Squeeze... Ketchup?

There is a rich history of fiber arts and programming influencing each other.

Knitting Helps You Understand Programming Patterns 

While consumer products get all the hype, B2B products are a quiet gem

Why Building Enterprise Products Is Awesome

Are you looking for a way to create a lightweight real time analytics engine?This article explains how to do exactly that by combining a fast, embed-able real time analytics library (WSO2 Siddhi) with an immensely popular micro services platform, Spring Boot. As a bonus I will show you how doing that under 5 minutes using with code-generation!. After following this article you can generate a full-fledged Java spring boot project with a documented REST API, friendly, responsive front-end, basic spring security, comprehensive test coverage and database integration with just a few shell commands. The generated code will be your foundation for real time micro service/ application.

Lightweight real time analytics with Spring Boot + WSO2 Siddhi

march 2019: wow this article did have quite a few claps, getting closer to 17k! I’m grateful to everyone who showed support! Just to give you an update, I’m now a software engineer at ASOS and could not be happier than this. Well actually I’ll be even happier in a few days, when my first kid will be born 😍 I have many ideas for new articles, I will just need to find the time to write them. Want to get notified? <a href="https://twitter.com/albinotonnina" target="_blank">Adding me on Twitter</a> is the best way!

How to Lose an IT Job in 10 Minutes

Random title, I know, but aren't you just a little bit intrigued? I love a teaser title that makes you go ‘hmm’ and then *fingers crossed* sucks you in as you thirst to know more. To elaborate, ‘the talk at MOO’ happened earlier this week on Tuesday and was a talk by James Kirkham, Co-founder of Holler and Global Head of Mobile and Social for Leo Burnett. His talk was titled ‘Social Media will never be the same again’ and was hosted by MOO, the company who print rather fancy <a href="https://hackernoon.com/tagged/BUSINESS" target="_blank">business</a> cards and are based in Shoreditch #obvs

Digital Mum Days: The talk at MOO

Yolo247 becomes the front-of-jersey sponsor for Boca Raton Trailblazers in the 2025 MAX60 Caribbean League, enhancing brand presence in Caribbean cricket.

Yolo247 Named Front-of-Jersey Sponsor for Boca Raton Trailblazers in MAX60 Caribbean League 2025

Multi-order stats enrich embeddings, avert neural collapse, and boost cross-domain accuracy while supporting lifelong instance updates.

Few-Shot Personalization of YOLOv8 with Object-Conditioned Bags of Instances

Yolo247 suffered a major outage after the Chicken Road launch, with over 20K complaints in one hour sparking wallet safety concerns.

Yolo247 Crash: Viral Chicken Road Game Overloads Platform, 20K Users Affected

YOLOv5 hits 97% precision on zooplankton; YOLOv8’s DFL handles class imbalance, boosting excrement hits despite scant labels.

Need Precision Plankton Counts? Why YOLOv5 Shines, But YOLOv8 Adapts

Class imbalance (80% Artemia) and SSIM/MSE checks ensure quality across 50 mg, 100 mg, and control images before YOLO training.

Train YOLO in 10 Epochs: A Lean Recipe for Marine Micro-Object Detection

Tests in blurry microfluidic images show YOLOv8 more adaptable, while YOLOv5 may need task-specific tweaks for hard marine debris.

Comparative Study of YOLOv5 and YOLOv8 for Challenging Aquatic Object Detection

Open‑YOLO 3D replaces costly SAM/CLIP steps with 2D detection, LG label‑maps, and parallelized visibility, enabling fast and accurate 3D OV segmentation.

Drop the Heavyweights: YOLO‑Based 3D Segmentation Outpaces SAM/CLIP

Open‑YOLO 3D uses 2D object detection instead of heavy SAM/CLIP for open‑vocabulary 3D segmentation, achieving SOTA results with up to 16× faster inference.

No SAM, No CLIP, No Problem: How Open‑YOLO 3D Segments Faster

This article details model choice, tuning, and dataset prep for road damage detection, comparing Faster R-CNN and YOLOv5 on a global multi-country dataset. 

Benchmarking Faster R-CNN and YOLOv5 for Global Road Damage Detection Across Countries

How modern YOLO architectures — including C3, C2f, C3K, and C3K2 blocks — build on the Cross-Stage Partial (CSP) concept to boost efficiency.

YOLO Jungle: С3, C2F, C3K2 — What Do They Even Mean?

Under this week's spotlight, we present to you:  Yito, Undertow, and GetHarley as HackerNoon's Startups of The Week!

Meet Yito, Undertow & GetHarley: HackerNoon Startups of The Week

Yito Digital wins Startups of The Year 2024 for redefining creative services with a flexible, on-demand subscription model tailored to modern business needs.

Meet Yito Digital, Winner of Startups of The Year 2024 in London, UK

A step-by-step look at how to train an object detection model on a custom dataset and use it to make predictions whenever a new image appears.

How to Train an Object Detection Model Using a Custom Dataset With MinIO and YOLO

Explore the cutting-edge integration of YOLOv3 and PolyRNN++ for automated image analysis.

Revolutionizing Image Analysis: YOLOv3 and PolyRNN++ Integration for Image Annotation

When cryptography meets quantum computer, and cryopreserved bodies hide secrets worth millions it only takes one bad actor to unleash a thrilling action.

The Lost Bitcoin: Chapter 4 - Discussing Yatoshi and Hal Finney

This interview with blockchain cybersecurity expert Yotam Dar discusses blockchain cybersecurity and blockchain hacks in detail and with case studies.

Decoding the Biggest Blockchain Hacks  and Blockchain Cybersecurity with Yotam Dar 

Yoto puts kids in control of an inspiring world of audio

YOTO

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2B

2019

1.7B

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1B

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50M

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