Reflecting on the last two articles we published celebrating women building with Bitcoin across the world, one thing became clear:
There are far more women shaping this ecosystem than most people realize. 🧡
Across these two articles, we celebrated women who are educating, building, advocating, researching, writing code, creating products, shaping policy, and opening doors for others.
From @marcelorraine, @anitaonl, @natbrunell, @LynAldenContact, @niftynei, @DecentraSuze, @Farida_N, @JoanaCotar, @RoyaMahboob, @efenigson, @AbundantMines, @dearezkitha, @nduku_jay, @kakafurlan, @waye_dev, @IamMissNabs, @briimhd, @CharFadirepo,@ojomaochai, @MouxDesign and @carol_bitcoin story is a reminder that Bitcoin is being built by women from every corner of the world.
And the truth is, this list isn't exhaustive.
There are countless other women making meaningful contributions every day, often quietly, but with impact that continues to shape the future of Bitcoin.
If you haven't read the articles yet, we'd love for you to. You might discover a new role model, a new perspective, or even a new path for your own journey in Bitcoin.
📖 Find both articles on our website, and let us know: Whose story inspired you the most? ⚡
https://t.co/RWoTvS6pw8
https://t.co/HJ5OXH33yU
#BitcoinDada #WomenInBitcoin #WomenWhoBuild
#AfricaBitcoin
Reflecting on the last two articles we published celebrating women building with Bitcoin across the world, one thing became clear:
There are far more women shaping this ecosystem than most people realize. 🧡
Across these two articles, we celebrated women who are educating, building, advocating, researching, writing code, creating products, shaping policy, and opening doors for others.
From @marcelorraine, @anitaonl, @natbrunell, @LynAldenContact, @niftynei, @DecentraSuze, @Farida_N, @JoanaCotar, @RoyaMahboob, @efenigson, @AbundantMines, @dearezkitha, @nduku_jay, @kakafurlan, @waye_dev, @IamMissNabs, @briimhd, @CharFadirepo,@ojomaochai, @MouxDesign and @carol_bitcoin story is a reminder that Bitcoin is being built by women from every corner of the world.
And the truth is, this list isn't exhaustive.
There are countless other women making meaningful contributions every day, often quietly, but with impact that continues to shape the future of Bitcoin.
If you haven't read the articles yet, we'd love for you to. You might discover a new role model, a new perspective, or even a new path for your own journey in Bitcoin.
📖 Find both articles on our website, and let us know: Whose story inspired you the most? ⚡
https://t.co/RWoTvS6pw8
https://t.co/HJ5OXH33yU
#BitcoinDada #WomenInBitcoin #WomenWhoBuild
#AfricaBitcoin
Great analysts do more than build dashboards.
They explain the past, forecast the future, and guide better decisions.
Remember:
What happened → Why → What's next → What should we do?
That's the power of analytics.
Most people think analytics is just about dashboards.
It isn't.
Knowing the difference between descriptive, diagnostic, predictive, and prescriptive analytics can completely change how you solve business problems.
🧵
A simple retail example:
Sales dropped.
Descriptive shows the drop.
Diagnostic reveals it came from one region.
Predictive forecasts demand will stay low.
Prescriptive recommends moving stock to stronger markets.
BIG BIG Happy birthday to my little brother @ihate1999 and the youngest in charge!!! 🥳🥳
- Managing Partner, @RcrsvCapital
- CEO, @btrustteam
- @Forbes Digital Asset Contributor
- #Bitcoin Core Contributor
Forever proud of you!! Stay focused and keep building!! ❤️❤️❤️
#27 #BTC 🚀🚀
Last week, I had the opportunity to host a Bitcoin event on my campus where I educated students on Bitcoin, how wallets work, the different types of wallets, and the concept of the Bitcoin circular economy.
Building this system shifted my view: engineering = finding loopholes & closing them with better logic.
Very proud of my Biochemistry RAG system, but in AI, learning never stops. Suggestions to boost retrieval precision or improve CRAG logic? Share in comments or DMs.
Engineering a Smarter RAG for Biochemistry
A few months ago, I was gripped by a single question: What does the skeleton of AI actually look like? What began as a deep dive into the mechanics of Large Language Models and tokenization quickly evolved into a personal challenge.
I had to pivot and implement a conversational memory buffer, ensuring the AI could maintain context and actually learn from previous steps of a student's inquiry.