Personr

Explore the seamless world of advanced search services in Spring Boot with JPA Search Helper.

Unlocking Advanced Search in Spring Boot with JPA Search Helper

A couple of years ago, Reactive Programming was all the rage, but it had one big issue: reactive stopped as soon as you accessed a SQL database. 

Reactive Programming - The New Way to Write Apps?

Your underperforming team needs help and you can create positive change by giving transformative constructive feedback to employees with these skills. 

Successful Leaders Give Constructive Feedback in Spades

Learn how to give positive feedback to colleagues with examples built off the SBIR process. Make it memorable by using specific examples.

How to Give Positive Feedback to Colleagues Using SBIR Framework

Using declarative validation in Golang, in a similar way to Active Record validations.  

Golang: Declarative Validation Made Similar to Ruby on Rails

Object oriented programming (or OOP) is a style of programming that encapsulates data and behaviours into models known as objects. In this way, related code is grouped together and kept separate from other code, and provides reusable blocks that can be used to rationalise the problem at hand.


SOLID Principles of Object Oriented Design And Architecture

At a certain point, our Haskell programs have to be compatible with other programs running on the web. This is especially useful given the growing usage of micro-services as an architecture. Regardless, it’s very common to be transferring data between applications on different stacks. You’ll need some kind of format that allows you to transfer your data and read it on both ends.

Flexible Data with Aeson

I realized I needed something different. Not another generic team bot, but a Personal AI Assistant — one that knows my specific context, my preferred shortcuts

How I Built a Personal Assistant Using Google Cloud and Vertex AI: mAIdAI

How to define, create, and use user personas to improve product decisions, acquisition, segmentation, and reduce churn in subscription businesses.

How Problem-Centric Personas Drive LTV, Retention, and Growth

A large-scale analysis of 100 open-source apps shows how focused privacy code reviews can efficiently identify personal data and PII handling.

What 100 GitHub Projects Reveal About Personal Data in Modern Software

Leverage AI in marketing: content, personalization, automation, and analytics — with humans in control.

The AI Marketing Checklist: Boost Campaigns, Insights & Personalization

A practical overview of how static analysis and pattern matching can identify personal data and PII hidden inside Java and JavaScript codebases.

How Static Analysis Can Expose Personal Data Hidden in Source Code

Learn how to identify privacy-relevant API methods using dependency analysis and GDPR-aligned labels to improve software privacy reviews.

Tracing Personal Data Through APIs

An overview of how privacy-relevant methods can improve automated code reviews by identifying and categorizing personal data processing under GDPR.

Automating Privacy Code Reviews by Mapping How Software Handles Personal Data

The Curator App uses Playwright to browse sites, validates the articles, and then uses a local LLM to check if the content actually matches my taste.

Pushing the Limits: Running Local LLMs and a 24/7 Personal News Curator on 4GB of RAM

Phones extended our hands; AI extends intent. How agents, DID, and treasury-as-code turn Personal OS into Founder OS, and into Civic OS

Transforming From Solo Unicorns One-Person States 

A deep dive into the iterative process of building a personalized AI, and an honest look at the final 5% a local LLM can’t replicate.

Damian AI: A Digital Persona Built From My Work (and a Lot of Pivots)

Stop letting knowledge walk out the door. Use this system prompt to turn every commit into a well-documented masterpiece.

The Most Dangerous Person on Your Team is "Dave" (And He Just Quit)

Multi-agent AI survey system that generates adaptive MCQ interviews to extract actionable feedback from customers at scale.

From Silence to Signal: Extracting E-Commerce Feedback With AI-Driven Personalized Surveys

People are different. Situations are different. Culture is different. Content is different. But traditional safety systems ignore these differences.

Why Personalized Enforcement Matters for Online Trust & Safety

Use LLM prompts to turn messy customer data into living, evidence‑backed user personas in five practical steps, with prompts, cases, and pitfalls.

Prompt-Powered Personas: How AI Finally Fixes the Messy World of User Profiling

This article is to examine a case study where sensitive information can be extracted using psychological manipulation for personality based agents.

Ego-Driven Design: How To Introduce Existential Crisis In Personality-based Agents

Learn how to install and run open-source large language models (LLMs) locally on Windows — with or without the command line. 

How To Run an Open-Source LLM on Your Personal Computer

Given the growing demand for advanced vaccines, mRNA therapeutic platforms, personalized vaccines, and AI have radically changed immunization

Revolutionizing Immunization: mRNA, AI, and Personalized Vaccine Platforms for the Next Era

A technology stack and verification engine that seamlessly combines individual and corporate data to enable transparency and convenience.

PERSONR

personr.co

Since 2021

Personr's stories on HackerNoon

Unlocking Advanced Search in Spring Boot with JPA Search Helper

Reactive Programming - The New Way to Write Apps?

Successful Leaders Give Constructive Feedback in Spades

How to Give Positive Feedback to Colleagues Using SBIR Framework

Golang: Declarative Validation Made Similar to Ruby on Rails

SOLID Principles of Object Oriented Design And Architecture

Flexible Data with Aeson

How I Built a Personal Assistant Using Google Cloud and Vertex AI: mAIdAI

How Problem-Centric Personas Drive LTV, Retention, and Growth

What 100 GitHub Projects Reveal About Personal Data in Modern Software

The AI Marketing Checklist: Boost Campaigns, Insights & Personalization

How Static Analysis Can Expose Personal Data Hidden in Source Code

Tracing Personal Data Through APIs

Automating Privacy Code Reviews by Mapping How Software Handles Personal Data

Pushing the Limits: Running Local LLMs and a 24/7 Personal News Curator on 4GB of RAM

Transforming From Solo Unicorns One-Person States

Damian AI: A Digital Persona Built From My Work (and a Lot of Pivots)

The Most Dangerous Person on Your Team is "Dave" (And He Just Quit)

From Silence to Signal: Extracting E-Commerce Feedback With AI-Driven Personalized Surveys

Why Personalized Enforcement Matters for Online Trust & Safety

Prompt-Powered Personas: How AI Finally Fixes the Messy World of User Profiling

Ego-Driven Design: How To Introduce Existential Crisis In Personality-based Agents

How To Run an Open-Source LLM on Your Personal Computer

Revolutionizing Immunization: mRNA, AI, and Personalized Vaccine Platforms for the Next Era

Reviews About Personr

Personr WIKI

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