HydraDB

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.

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…

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• 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…

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• 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…

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• 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…

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• 2026-04-11 · Nishkarsh Srivastava · Industry Insight79 eng. (68 likes · 10 comments · 1 shares)

  There's a trend around token-maxxing in SF. Guess who kicked it off?

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Worst performing posts — settled posts only (published ≥7 days before the data edge)

• 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 …

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• 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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• 2026-03-24 · Nishkarsh Srivastava · Product Update44 eng. (37 likes · 7 comments · 0 shares)

  I've watched 5000+ AI agent implementations fail in production.. & 90% hit the same wall: context collapse at scale. Here's what keeps happe…

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• 2026-04-09 · Nishkarsh Srivastava · Industry Insight48 eng. (46 likes · 2 comments · 0 shares)

  Focus is a limited resource. Organizations try to do too many things at once and then end up doing nothing exceptionally well. You can take …

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• 2026-04-15 · Nishkarsh Srivastava · Industry Insight63 eng. (54 likes · 7 comments · 2 shares)

  Google just compressed LLM key-value caches to 3 bits with zero accuracy loss. Their new algorithm TurboQuant achieves up to 8x speedup on a…

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