HydraDB
Dev Tools & Infrastructure · 5.8K followers · LinkedIn benchmark, last 12 months (original)
Momentum vs prior 12 months
Posts
16
+33%Posts/wk
0.3
+50%Avg engagement
273.9
smart avg / post
+302%Momentum
-94%
2nd half of window vs 1st
Engagement trend
Posting volume (bars) vs average engagement per post (line) — page + team, original posts
Momentum over time
Change in average engagement per post vs the previous month — green gaining, red losing
Category mix
Cadence
Average engagement by day posted (Pacific time)
Team contribution
Team data through 2026-04-28 — employee scrapes lag this window; low numbers here mean stale data, not a quiet team.
What drives engagement
Smart avg engagement per post across every post in this window. Gray rows at the bottom are under the sample floor (8+ posts per category, 8+ per format) — too few posts to trust the average.
By category
By format
Best time block: 9pm–12am UTC. Timing detail is in the Cadence chart above.
Best performing posts
- 2026-03-12 · Nishkarsh Srivastava · Celebratory Announcement3.5K eng. (3.0K likes · 393 comments · 137 shares)
We've raised $6.5M to kill vector databases. 🎉 Every system today retrieves context the same way: vector search that stores everything as f…
View post → - 2026-03-25 · Nishkarsh Srivastava · Industry Insight818 eng. (764 likes · 49 comments · 5 shares)
Most AI agents are missing something obvious. Everyone talks about reasoning. But when given a task, the AI isn't reasoning the way you migh…
View post → - 2026-04-28 · Nishkarsh Srivastava · Industry Insight185 eng. (166 likes · 11 comments · 8 shares)
"Agents Are Dumb Token Predictors" -- Arko C. AI agents are everywhere right now. Every startup, every framework, every demo. But strip away…
View post → - 2026-03-31 · Nishkarsh Srivastava · Product Update174 eng. (154 likes · 12 comments · 8 shares)
AI agents are failing in production...not a surprise. As you scale your knowledge base, embeddings start creating noise. It’s called ‘semant…
View post → - 2026-03-31 · Company page · Event103 eng. (96 likes · 6 comments · 1 shares)
It's a wrap for the greatest Total Agent Recap Hackathon: Partnering: GMI Cloud Kimi (Moonshot AI) Photon Dify Sky9 Capital
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Worst performing posts — settled posts only (published ≥7 days before the data edge)
- 2026-04-29 · Company page · Event9 eng. (9 likes · 0 comments · 0 shares)
The Hackathon SF deserves!!
View post → - 2026-07-17 · Company page · Industry Insight16 eng. (15 likes · 0 comments · 1 shares)
Almost everyone building agents starts the same way. You already run Postgres, so you add pgvector and call it your memory layer. That holds…
View post → - 2026-07-21 · Company page · Industry Insight21 eng. (18 likes · 2 comments · 1 shares)
Your agent books a dinner reservation in Brooklyn. The user moved to London last October. Everyone calls this a hallucination. It isn't one.…
View post → - 2026-04-10 · Nishkarsh Srivastava · Industry Insight31 eng. (29 likes · 2 comments · 0 shares)
I've been thinking a lot about a pattern that repeats roughly every 15 years in database infrastructure. In the 90s, if you wanted to build …
View post → - 2026-04-01 · Nishkarsh Srivastava · Industry Insight41 eng. (37 likes · 3 comments · 1 shares)
Everyone's building for enterprise while some people keep saying consumer is the bigger prize. After building both, I think they're arguing …
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