chinese part of twitter is a literal gold mine.
> tech.
> design.
> hardware.
> open weight models drop before anyone reports it.
my timeline is insanely crack right now.
Introducing Aeroplane, a self-hostable Railway, Vercel, Netlify and Heroku alternative for deploying apps and databases on your server.
- Deploy any language or framework.
- Supports major databases.
- One-click import from Railway.
- Backup database to R2.
- One-click database data transfer.
- Powerful data browsers for SQL, MongoDB and Redis.
...and more.
100% opensource and free to use.
There's no nobility in poverty.
You chase dreams while trying to survive...
Everyone thinks you're lazy as poverty makes progress 10x harder...
One wakes up with dreams and sleeps with limitations...
Even "hope" feels like you're taking a risk...
Working hard and staying stuck...
One starts to feel cursed and
unfortunate...
Simple things are daily struggles...
Dreams getting buried and forgotten...
Strips you off respect and confidence...
One lacks options and just goes with what the day has to offer...
Potentials are weakened, dreams killed before they even breathe...
It breaks one with no mercy.
Nevertheless, every step forward, is a step away from poverty..
Because until death every defeat is psychological...
Don't settle, don't stop, if you do, poverty stays then you start adapting to it..
I've tasted survival and poverty, growth, independence and wealth, chasing a legacy...
The first rule of motion is to keep moving, stay in motion and life has no choice but to shift!.
Momentum is your advantage.
KEEP MOVING.
who needs Kafka when you can build a queue on s3 with a single JSON file?
Turbopuffer did just that.
In their very popular article that was on the front-page of hacker news for a while, they described how they:
• used a single queue.json file
• all through a single, stateless broker
• utilized the so-called "group commit" (fancy word for batching)
• added heartbeats to avoid zombies hogging tasks
• leveraged S3's compare-and-set operations to ensure consistency
And more.
The way they handled bootstrapping clients to the broker, all via S3, was really elegant as well.
Why didn't they just use Postgres?
See my full video here 👇
Imagine receiving a normal WhatsApp message from someone… and later discovering that the message secretly contained their exact location, even though they never shared it.
That’s exactly what happened during a recent forensic extraction I performed on my iPhone 12 Pro Max.
During the analysis, I found a I decided to pick a message I received from @RedHatPentester, on 3rd September 2025 at 7:11 AM.
Nothing unusual at first glance just a regular text.
But deep inside the message metadata, the phone had silently logged:
@RedHatPentester exact location at the moment he sent that message.
He didn’t share it intentionally.
I didn’t request it.
Yet the device recorded it automatically.
This was extracted directly from my own phone, meaning:
If your location is turned ON while chatting on WhatsApp, your exact location can be extracted from someone else’s device if theirs undergoes forensic imaging.
Most people have absolutely no idea this happens.
But this was only the beginning.
Also, every single file created on the device, ie: photos, videos, screenshots, recordings had the exact location of where I was when that file was created.
The phone automatically logged precise GPS coordinates for each media file.
This means investigators can determine where you were at the exact moment you took a picture, recorded a video, captured a screenshot, or created any media on the device.
This level of metadata helps reconstruct movements, timelines, and behaviors with incredible accuracy.
The extraction revealed far more than hidden location data and remember, this phone was NOT jailbroken.
Here’s what else was recovered:
1. Full Synchronized Accounts & Passwords
The extraction pulled:
•URLs
•Usernames
•Passwords
•Stored login metadata
Basically, every synchronized password ever used on the device all recovered without jailbreak.
2. Complete Application Logs & Histories
Every installed application had:
✔ Detailed logs
✔ Usage history
✔ Internal data
✔ Metadata
Even apps considered “secure” or “encrypted” still left behind recoverable traces.
3. Full WhatsApp Data, Including Group Histories
WhatsApp revealed more than most users realize:
•Full history of every group ever joined
•Date each group was created
•Who created it
•Date I was added
•Group metadata even after you exit the group
This is critical in investigations because a suspect cannot deny belonging to a group when the device itself retains:
📌 Creation date
📌 Creator identity
📌 Join date
📌 Participation timeline
Even if they left the group years ago.
4. Message-Level Location Metadata
The iPhone logged exact sender locations at the moment messages were typed and sent just like what happened with @RedHatPentester message.
Most people never see this.
Investigators do.
Why This Matters
Every phone tells a story.
Every app keeps footprints.
Every message carries more than text.
This extraction proves that even without a jailbreak, investigators can discover:
✔ Locations
✔ Passwords
✔ Group associations
✔ Message histories
✔ Detailed app activity
✔ Metadata most users never realize exists
Digital devices rarely forget even when the user does.