Nestimate

How I approached solving an interview task for autonomous driving from 3 different perspectives: RANSAC, PCA, and Ordinary Least Squares (OLS).

RANSAC, OLS, PCA: 3 Ways to Draw a Straight Line Across a Set of Points

Estimating IT projects is a pain. When I started my path and tried to estimate my time spent while being a developer, I always underestimated things. Every time there would appear a job I didn’t account for. Colleagues told me to multiply my estimates by 2, 3, the number Pi. Only it didn’t help to increase the estimation accuracy, just added other problems. For example, when I had to explain where the high numbers came from.

A Guide to Making Estimates for Software Development Projects

Ask any developer to estimate how long it will take for them to finish a project. You will see the loathing in their eyes. And for good reason. Estimates have been wrongly used for decades by a lot of managers who then hold the team accountable to their estimate as if it were the actual deadline. Even more frustrating, in many cases those managers only act on the lowest number they hear from you! It’s as if they had a min() function, and they just keep trying to get the number lower. But engineering is not magic!! No wonder the hashtag #NoEstimates has become famous.

How to Make Estimates Finally Useful to Developers

Hopefully I caught your attention with the controversial (and admittedly hyperbolic) title. Good. Let me restate it in a slightly more elegant and less <em>clickbaity</em> form:

You have to choose between Software Delivered on Time and Good Software

<span>If</span> you could travel back in time and change one thing in a delivered project, what would it be?

Decisions

‘When will it be done?’ is one of the most common and difficult questions to answer in software development.

Estimation — how can we estimate with confidence in software delivery?

Public balance sheet data is used to estimate life insurance guarantee costs, comparing model bounds with Allianz Life’s reported figures.

How Public Balance Sheet Data Can Be Used to Estimate Life Insurance Guarantee Costs

A minimal experiment shows LLM confidence outputs shift with number format: decimals are more conservative and consistent, while some models break in 0–100 mode

Float vs Int Confidence Scores: Why LLM Output Format Changes Model Behavior

EC Council launched its Enterprise AI Credential Suite, with four new role-based AI certifications debuting alongside Certified CISO v4.

EC-Council Expands AI Certification Portfolio to Strengthen U.S. AI Workforce Readiness and Security

New method traces text-to-image models back to their original training data with 80%+ accuracy—no watermarks or model changes required.

Researchers Can Now Identify If Your AI Stole Its Training Data

UCP and x402 are two protocols shaping how AI agents buy things online. Here's how they work, where they differ, and why proxy infrastructure is the real need.

x402 vs UCP: What Challenges Lie Ahead for AI Agent Commerce?

Discover how AI agents for Web3 move from hype to production, enabling secure automation, governance, and compliance through AI integration for blockchain.


AI Agents in Web3: Real Business Applications Beyond the Hype

Raw measurements don’t tell the full story. 

Why Measuring Time is Not Enough: a Practical Roofline Model for ML Training

This tutorial shows you how to build a WhatsApp bot that accepts images, analyzes them using AI vision models, and responds with intelligent insights. 

How to Build an AI-Powered WhatsApp Bot That Analyzes Images Using Python and Vision Models

AI’s biggest bottleneck isn’t code, it’s infrastructure. Power, compute and governance now define who can actually scale AI.

AI Power Isn’t Just About “Better Models.” It’s About Who Controls the Systems They Run On

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

Your AI Model Isn’t Broken. Your Data Is

Do valuations cause crashes? Use Causal AI & EODHD data to prove how profitability and beta drive downside risk during market shocks. Move beyond correlation.

I Built a Causal AI Model to Find What Actually Causes Stock Drawdowns

Positive expected value isn’t enough. Why real trading systems fail without risk control, time-horizon awareness, and survival-first optimization.

Why Expected Value Is Not Enough in Production Trading Systems

How can we know ours ads are making impact that we aim for? What if targeted ads are not working the way we want them to?

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

A deep dive into the Internet Archive's custom tech stack.

The Long Now of the Web: Inside the Internet Archive’s Fight Against Forgetting

Pepeto’s exchange-first model converts every trade into native token demand, creating compounding growth loops that speculation-only memecoins lack.

Next 100x Meme Coin? How Pepeto's Exchange-First Model Creates Compounding Demand

A 2025 ranking of AI-first companies by ARR: OpenAI, Anthropic, Midjourney, Cursor, xAI, Replit, Hugging Face, Cohere, Lovable, AI21 Labs, and Stability AI—how 

The 11 Largest AI Companies in the World (December 2025 Edition)

Learn to create reusable components in React for better code organization and maintenance, using ComponentProps and HTMLAttributes interfaces for adaptability..

Creating Effective And Optimized Next.JS Reusable Components.

Explore the transformative impact of machine learning on modern business growth strategies. 

Leveraging ML Algorithms for Business Growth Optimization

Nestimateis in the Investment Tech Industry

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Nestimate's stories on HackerNoon

RANSAC, OLS, PCA: 3 Ways to Draw a Straight Line Across a Set of Points

A Guide to Making Estimates for Software Development Projects

How to Make Estimates Finally Useful to Developers

You have to choose between Software Delivered on Time and Good Software

Decisions

Estimation — how can we estimate with confidence in software delivery?

How Public Balance Sheet Data Can Be Used to Estimate Life Insurance Guarantee Costs

Float vs Int Confidence Scores: Why LLM Output Format Changes Model Behavior

EC-Council Expands AI Certification Portfolio to Strengthen U.S. AI Workforce Readiness and Security

Researchers Can Now Identify If Your AI Stole Its Training Data

x402 vs UCP: What Challenges Lie Ahead for AI Agent Commerce?

AI Agents in Web3: Real Business Applications Beyond the Hype

Why Measuring Time is Not Enough: a Practical Roofline Model for ML Training

How to Build an AI-Powered WhatsApp Bot That Analyzes Images Using Python and Vision Models

AI Power Isn’t Just About “Better Models.” It’s About Who Controls the Systems They Run On

Your AI Model Isn’t Broken. Your Data Is

I Built a Causal AI Model to Find What Actually Causes Stock Drawdowns

Why Expected Value Is Not Enough in Production Trading Systems

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

The Long Now of the Web: Inside the Internet Archive’s Fight Against Forgetting

Next 100x Meme Coin? How Pepeto's Exchange-First Model Creates Compounding Demand

The 11 Largest AI Companies in the World (December 2025 Edition)

Creating Effective And Optimized Next.JS Reusable Components.

Leveraging ML Algorithms for Business Growth Optimization

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