Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity
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Beyond the Timer: How I Built BrewCore for the H0 Hackathon Home espresso is a paradox. Baristas obsess over the micro-details the gram weight, the seconds on the clock, the pressure profile-but we usually track it all on sticky notes or fragmented mental maps. When that morning shot turns sour, we don’t have a database to query; we have a bad cup of coffee and a Reddit thread from 2019. For the H0 Hackathon, I wanted to bridge that gap. I've built BrewCore: a full-stack coffee companion that
TL;DR Build AI-agents in 5 lines of code. Skip the set up & infrastructure. Live and running. from custodian_labs import Custodian app = Custodian( model="gpt-4o", system_prompt="You are a concise, helpful assistant.", ).deploy() print(app.chat("Hello!").response) print(app.chat_url) # ← live, shareable URL Runnable Colab notebook here. DIYing this: FastAPI behind a reverse proxy + Redis for sessions + a small frontend + an auth layer + a vector DB and ingestion pipeline. All of it
I built Kajota Pulse and wrote this article as my entry for the **AWS × Vercel "H0: Hack the Zero Stack"* hackathon (#H0Hackathon). Live app: kajota-pulse.vercel.app · Code: github.com/KaJota-inc/kajota-pulse* Across African micro-commerce, "co-sellers" buy stock from wholesalers and resell to their network for a markup. There's a whole industry of tools for writing the listing. There's almost nothing for the question that actually decides whether a co-seller makes money: what should I stock thi
Location sharing has become normal. Most people use it for simple reasons: checking if family arrived safely coordinating with friends helping elderly relatives finding children handling emergencies But most existing apps solve this with the same model: continuous passive tracking. That model always bothered me. Not because it doesn’t work. But because it changes the relationship between trust and location. Most location-sharing apps work by keeping your position visible all the time. 24/7. Even
A GitLab API token appeared in a README.md file. It was committed, pushed, and reviewed by two engineers before merging. Nobody caught it. This was not a junior developer's mistake. Both reviewers were experienced. The token was on line 47 of a 200-line file, sandwiched between installation instructions. At the end of a sprint, with three other reviews queued, it looked like documentation. It was a secret sitting in plain sight. We caught it the next day during a routine audit. By then it had be
Most content advice for AI search treats writing as an SEO problem with new rules. It is not. It is a citation problem with old rules, applied differently. Ranking on Google was about earning the click. Getting cited by ChatGPT, Perplexity, or Google’s AI Overviews is about earning the quote, a discipline known as answer engine optimization when it focuses on direct-answer citations. This guide breaks down what AI engines actually look for in a piece of content, the seven writing moves that turn
Aos 12 anos, eu decidi que ia fazer jogos. Passei por volta de 5 a 6 anos usando RPG Maker. Comecei muitos jogos, tive várias ideias e aprendi bastante coisa, mas terminar um jogo? Não, isso não. Na pandemia de 20, voltei a programar e, junto com minha esposa, fiz um quiz sobre a cultura potiguar. Fomos aprovados em um edital público de incentivo aos jogos, e foi a primeira vez que ganhei dinheiro programando e fazendo um jogo. Foram dois cajados com um coelho só. Mas depois eu parei. Na mesma é
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