We just crossed 4,000 backend engineers in the backend community ๐
To celebrate, we are doing a โฆ350,000 giveaway.
Prize split:
- โฆ150k
- โฆ100k
- โฆ50k
- โฆ25k
- โฆ15k
- โฆ10k
This is sponsored by:
- Myself
- @_deven96 , creator of Ahnlich, an in-memory vector database for semantic search: https://t.co/BSU4IJxFYD
- @_289volts, who is giving free credits for on https://t.co/bFBE5AXX5k, a platform that accelerates your job search success rate at the speed of light
But this is not just a giveaway.
I am also using this to start building better engineering statistics, hiring insights, and a stronger talent pipeline for Nigerian/African software engineers.
To enter:
1. Follow me (important)
2. Repost this
3. Fill the engineer profile form: https://t.co/rtwPW41Vl1
The form helps with:
- engineering statistics
- hiring opportunities
- salary and stack insights
- better visibility for engineers in the community
Winners will be announced on 12th June 2026.
.@tomoland_app is building TOMO Trustless Open Market Ownership, an open ecosystem for creators, builders, players, and communities. Blueprint is the first access layer with limited spots. Follow @TheCreatorFi
Only 222 exist
Download the app and claim your place.
#TOMOBlueprint
GM all
Just dropped this on medium "Understanding Ethereum: EVM, Blocks, Gas, Accounts, and Transactions" read and drop feedback.
https://t.co/JDI3NO6PKC
Ready to explore the internet beyond Web2? ๐
Join GDG On Campus LAUTECH for Web3 101 and learn how blockchain & decentralized tech are shaping the future.
๐ Jan 16 | ๐ 7PM | ๐ X Space
๐ Opemiposi Emmanuel & Favour Abidoye
๐ https://t.co/IbnKg5sOkE
#Web3#GDGOCLAUTECH
MITRE ATT&CK integration maps every detected attack to adversary techniques, tactics, and recommended mitigations.
From detection to response in one platform.
Built with FastAPI, PyTorch, scikit-learn.
Real-time dashboard for monitoring.
Open source & ready to deploy.
Repo: https://t.co/PaB3wvE6QI
Included:
- Random Forest for classification
- Isolation Forest for anomaly detection
- Autoencoder for deep learning
- Ensemble voting for 99.5% accuracy
Trained on CICIDS2017 dataset