Alfrick Opidi

Developer Relations Associate @clarifai
#ai #machinelearning #computervision #deeplearning

[Alfrick Opidi @a_opidi]

Quote of the Week from @freeCodeCamp @ossia : "The first 90% of the code accounts for the first 90% of the development time. The remaining 10% of the code accounts for the other 90% of the development time." - Tom Cargil #100DaysOfCode

[Alfrick Opidi @a_opidi]

@dkmaraga @Maraga27 @KBCChannel1 @citizentvkenya @NTVnewsroom @StandardKenya @NationAfrica @K24Tv @KTNNewsKE @tv47digital @TheStarKenya Consider using the 'Prezo ni D.M.' slogan

[Engage @EngageKE]

When Dr. Esther Muchemi quit a top-tier audit firm, people called her crazy. She survived five years running a solo firm with 1 client from a tiny office. She then took an even wilder risk: opening a modest phone shop in Nginyo Towers. That single shop birthed the Samchi Group conglomerate. A raw, unscripted masterclass on walking away from spaces that don't value you to build your own.

Watch her full journey on the Engage Talks YouTube Channel.

[Mindful Learning @MindfulL205]

7 fascinating science nonstop water flowing projects you can replicate

[Clarifai @clarifai]

NVIDIA Nemotron 3 Nano Omni is now available on Clarifai with Zero Day support.

A 30B A3B multimodal reasoning model built for agent workflows across documents, images, video, audio, and text.

Why it stands out:

• Multimodal input across text, image, video, and audio
• Hybrid MoE + Transformer-Mamba architecture
• 300K context window
• Runs on a single H100, H200, or B200
• 400 tokens/sec on Clarifai Reasoning Engine

[Learn Something @cooltechtipz]

Correct foot posture issues with these simple exercises

[Khairallah AL-Awady @eng_khairallah1]

🚨 Anthropic's own team just showed how to actually prompt Claude.

24 minutes. free. from the people who built it.

watch the workshop. bookmark it.

worth more than every $300 course you almost bought.

you've been using Claude without knowing 40 of its prompts.

Then read the guide below.

[Allen Braden @allen_explains]

This 2-hour Stanford lecture breaks down how models like ChatGPT and Claude are actually built, clearer than what many people in top AI roles ever get exposed to.

Save this and set aside two hours today. It might end up being the most valuable thing you learn all week.

[Alfrick Opidi @a_opidi]

@HowThingsWork_ He's like using the Coconut's gravitational force to propel to the next -- just like the Artemis mission used the moon's force

[Zoom Afrika @zoomafrika1]

Don't stop talking about Sudan
Don't stop talking about Sudan
Don't stop talking about Sudan
Don't stop talking about Sudan
Don't stop talking about Sudan

[ℏεsam @Hesamation]

bro created an AI job search system for Claude Code that scored 700+ job applications and actually got him a job.

AND IT'S NOW OPEN-SOURCE.

It scans multiple company career pages, rewrites your CV per job, and even fills application forms. The repo has:
> 14 skill modes (evaluate, scan, PDF, ...)
> Go terminal dashboard
> ATS-optimized PDF generation via Playwright
> 45+ companies pre-configured (Anthropic, OpenAI, ElevenLabs, Stripe...)

GitHub: https://t.co/PwrYBOAphi

[Alfrick Opidi @a_opidi]

@problogger Is there a way I could add it to my site?

[Farhan @mhdfaran]

🚨 BREAKING: you can now turn your laptop into a CIA command center

World Monitor is the ultimate real-time dashboard for global events—conflicts, earthquakes, traffic infra, flights and more.

Updates live on your screen.

• Tracks 100+ data sources instantly
• Customisable for every screen size
• 100% Open-source & free to use

link in comment

[Tom Dörr @tom_doerr]

Converts websites into Android applications without Android Studio

https://t.co/Twryn5OYwk

[Julian Goldie SEO @JulianGoldieSEO]

Claude AI FULL COURSE 5 HOURS (Build & Automate Anything)

[Akshay 🚀 @akshay_pachaar]

Software engineers are going to love this!

I found an open-source error monitoring agent that scans production logs, finds the root cause, and sends a Slack message with full context before you even notice something broke.

Cuts down production downtime by 95%!

Check this:

[Nav Toor @heynavtoor]

🚨 Someone just open sourced a fully autonomous AI hacker and it's terrifying.

It's called Shannon.

Point it at your web app, and it doesn't just scan for vulnerabilities. It actually exploits them. Real injections. Real auth bypasses. Real database exfiltrations.

Not alerts. Not warnings. Actual working exploits with copy-paste proof-of-concepts.

Here's what this thing does autonomously:

→ Reads your entire source code to plan its attack
→ Maps every endpoint, API route, and auth mechanism
→ Runs Nmap, Subfinder, and WhatWeb for deep recon
→ Hunts for Injection, XSS, SSRF, and broken auth in parallel
→ Launches real browser-based exploits to prove each vulnerability
→ Generates a pentester-grade report with reproducible PoCs

Here's the wildest part:

It follows a strict "No Exploit, No Report" policy. If it can't actually break it, it doesn't report it. Zero false positives.

It pointed at OWASP Juice Shop and found 20+ critical vulnerabilities in a single run including complete auth bypass and full database exfiltration.

On the XBOW Benchmark (hint-free, source-aware), it scored 96.15%.

Your team ships code daily with Claude Code and Cursor. Your pentest happens once a year. That's 364 days of shipping blind.

Shannon closes that gap. One command. Fully autonomous.

The Red Team to your vibe-coding Blue team. Every Claude coder deserves their Shannon.

10.6K GitHub stars. 1.3K forks. Already trending.

100% Open Source. AGPL-3.0 License.

[Nav Toor @heynavtoor]

🚨 Someone just turned your WiFi router into a full-body surveillance system.

No cameras. No wearables. No video. Just radio waves.

It's called RuView. It uses the WiFi signals already in your room to detect human poses, track breathing, measure heart rate, and see through walls.

Not a concept. Not a research paper. Working code you can run right now.

Here's what this thing actually does:

→ Tracks full 17-point body pose using only WiFi signals
→ Detects breathing rate (6-30 BPM) without touching anyone
→ Measures heart rate (40-120 BPM) from across the room
→ Sees through walls, furniture, and debris up to 5 meters deep
→ Tracks multiple people simultaneously with zero identity swaps
→ Self-learns from raw WiFi data. No labeled datasets needed

Here's how it works:

WiFi signals pass through your room and hit the human body. The body scatters those signals differently based on position, breathing, even heartbeat. RuView reads that scattering pattern and reconstructs everything.

A mesh of 4 ESP32 nodes ($48 total) gives you 360-degree coverage with 12 measurement links, 20 Hz updates, and sub-30mm precision.

Here's the wildest part:

It has a disaster response mode called WiFi-Mat. It detects survivors trapped under rubble through concrete walls, classifies injury severity using START triage protocol, and estimates 3D position. The kind of tool that saves lives after earthquakes.

The Rust implementation processes 54,000 frames per second. That's 810x faster than the Python version. The entire Docker image is 132 MB.

The AI model fits in 55 KB of memory. Runs on an $8 ESP32 chip.

Train once, deploy in any room. No retraining. No recalibration.

1,100+ tests. SHA-256 verified capability audit.

22.4K GitHub stars. 2.7K forks. MIT License.

100% Open Source.

[David Amunga ⚡️ @davidamunga_]

pesacast v0.2.4 is up 🚀

you can now cast mpesa notifications to multiple connected PCs ✨

its free ! available for mac + windows ,

currently the app works offline (but will add a WiFi/Lan option) & open-source (if you have other ideas)

hope its useful to you 🙂

link👇

[ًًًًًًًki_yz💕🎟️ @EricOkemwa_]

Integrating Lipa na MPESA (KCB MPESA STK Push) with Node.js

By @msnmongare https://t.co/jvCTHa1Pdl

[K.O.O @Dominus_Kelvin]

I want to support more African builders creating things people use and want. Pitch what you are working on as a builder based in Africa.