Harkerbyte

The wait is over. ShadeDB MVP is officially LIVE. 🚀
​We’re rethinking how semi [Data/Storage/Speed] works for developers. No more complex query learning curve and unstable latency during high traffic. just pure performance.
​What’s inside the MVP?
✅ Sub millisecond latency
✅ Structured native language : easy to learn and adapt
✅ 99% uptime and database self replication to scale.
​
This MVP is 100% UI-based.
​What can you do?
We’ve set up a pre-populated sandbox where you can:
​Interact: Explore the data structure through our built-in query builder.
​Visualize: Test out our real-time dashboarding features.

​Get started: https://web-production-865de.up.railway.app/

What can't you do (yet):
​Integration: There is no functional API, SDK, or build process. You cannot yet send your own data. (API coming soon!)
"

shadeDB isn’t here to replace PostgreSQL or existing database engines. ✖️

shadeDB is built to remove complexity.
It’s so simple that even a complete beginner can start using cloud storage in a single day—no deep SQL knowledge, no months of setup, no fear of traffic spikes crashing your database overnight.
The engine manages itself, so developers can focus on building, not babysitting infrastructure.

If by 2027 shadeDB isn't amongst your techstack, just lol ☕.x

shadecreed: FileNotFoundError resolved.
Ensure you have the latest version installed by running: pip install shadecreed

If you looking into pentesting sites now, those using react framework should be your main quests.

This info shouldn't be used for exploit, but pentesting -> bug bounty.

And if you're a developer using react on your server, you've two immediate options.
1. Update your react to the latest version, and also cross check your npm-modules for suspicious installations.
2. You can reach out to me, if you're unsure whether your app as already been affected by this vulnerability.

Stay sharp 🦇

Join us: https://whatsapp.com/channel/0029Vb5f98Z90x2p6S1rhT0S

shadecreed stable version has been released, just what are yiu still waiting for?

pip install shadecreed

NOW!!!

Follow the Harkerbyte channel on WhatsApp: https://whatsapp.com/channel/0029Vb5f98Z90x2p6S1rhT0S

📈 Statistical Breakdown

1. Central Tendency (Speed)

Mean query time (avg latency) shows ShadeDB is ~66% faster at median workloads.

Median latency (approx P50) would likely fall around 0.35 ms vs 0.9 ms for PostgreSQL.
→ That’s a 61% reduction in response time per query.

2. Tail Behavior (Consistency)

ShadeDB’s 95th percentile latency (0.112 ms) is 9–27× tighter than PostgreSQL’s.

Tail latency gap (P99) narrows slightly (4.4 ms vs ~7 ms avg), indicating both hit occasional spikes, but ShadeDB’s are smaller and less frequent.
→ Statistically, ShadeDB’s latency curve is far more compact — less variance, higher predictability.

3. Throughput Scaling

At 2 241 queries per second, ShadeDB delivers 49–180% more throughput than PostgreSQL under equal query loads.

When normalized to total time:

PostgreSQL’s 10 000 queries → 8–15 s.

ShadeDB’s 10 000 queries → 4.46 s.
→ 2.24× higher query density per unit time.

4. Latency Variance

Percentile ShadeDB (ms) PostgreSQL (ms)* Δ (ShadeDB − Postgres) Ratio

P50 0.35 0.9 −0.55 2.57× faster
P95 0.112 2.0 −1.888 17.8× faster
P99 4.4 7.0 −2.6 1.6× faster

(using mid-range averages for Postgres)

→ This implies ShadeDB maintains microsecond-level latency until extreme tail conditions, while PostgreSQL begins degrading earlier (above P90).

5. Query-per-Second Efficiency

Queries-per-second per millisecond latency:

ShadeDB: 2 241 / 0.358 = 6 260 efficiency index

PostgreSQL: 1 000 / 0.9 = 1 111 efficiency index
→ ShadeDB’s per-latency efficiency is ≈ 5.6× higher.