HydraDB provides the developer tools and infrastructure to give agents context and memory.
Joined August 2025
- Tweets 36
- Following 1
- Followers 4,363
- Likes 83
2 Photos and videos
HydraDB retweeted
Jun 1
I rarely talk about where I work, so here's a random fact:
I'm an AI Engineer at HydraDB.
If you've followed me for a while, that probably explains why I'm constantly posting about agent memory, retrieval, context engineering, and AI infrastructure.
One thing I've learned is that building capable agents is often less about the model itself and more about how effectively you can store, organize, and retrieve context. That's the problem space HydraDB is focused on.
Jun 1
Introducing HydraDB.
The graph native context infrastructure for agents. Purpose built to deliver precise context & observability into why agents act the way they do.
We've always believed graphs are the best way to manage AI context, but they've been too expensive to scale or impractical for storing full context. Until now.
@hydra_db combines in memory, NVMe, and object storage into a single graph layer, making context delivery faster, cheaper, and more precise.
We want context delivery to be extremely fast, 1000x cheap, and highly precise. Give your agents a brain.
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@hydra_db is our default context engine
agents need a database designed for them > graph will be the way
:: hydra.
Jun 1
Introducing HydraDB.
The graph native context infrastructure for agents. Purpose built to deliver precise context & observability into why agents act the way they do.
We've always believed graphs are the best way to manage AI context, but they've been too expensive to scale or impractical for storing full context. Until now.
@hydra_db combines in memory, NVMe, and object storage into a single graph layer, making context delivery faster, cheaper, and more precise.
We want context delivery to be extremely fast, 1000x cheap, and highly precise. Give your agents a brain.
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HydraDB retweeted
Jun 1
If you're looking for graph native context infra, check out @hydra_db
Congrats on the launch @contextkingceo
Jun 1
Introducing HydraDB.
The graph native context infrastructure for agents. Purpose built to deliver precise context & observability into why agents act the way they do.
We've always believed graphs are the best way to manage AI context, but they've been too expensive to scale or impractical for storing full context. Until now.
@hydra_db combines in memory, NVMe, and object storage into a single graph layer, making context delivery faster, cheaper, and more precise.
We want context delivery to be extremely fast, 1000x cheap, and highly precise. Give your agents a brain.
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HydraDB retweeted
The AI stack needs purpose built Infra, and @contextkingceo & team are doing an amazing job in building the Context Infra which any Agent in real world use-case needs! Super bullish on @hydra_db & team!
Jun 1
Introducing HydraDB.
The graph native context infrastructure for agents. Purpose built to deliver precise context & observability into why agents act the way they do.
We've always believed graphs are the best way to manage AI context, but they've been too expensive to scale or impractical for storing full context. Until now.
@hydra_db combines in memory, NVMe, and object storage into a single graph layer, making context delivery faster, cheaper, and more precise.
We want context delivery to be extremely fast, 1000x cheap, and highly precise. Give your agents a brain.
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HydraDB retweeted
May 14
Build stack
Started prototype with @GoogleAIStudio
Moved to design tweaking and desktop version layout using @paper and @claudeai
Next up
Thinking of adding an agent with all my content and work using @hydra_db
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HydraDB retweeted
May 13
Vector databases are a scam.
Not technically, they do exactly what they say. Return the most cosine-similar string to your query. The scam is the entire industry pretending that's the same thing as relevance.
It isn't.
Search "Apple." You get the fruit, the company, the watch, and a recipe blog. Your agent picks one at random and calls it retrieval. Your customer calls it broken.
Most AI agents shipping right now are duct-taped on top of this. They demo well because demos are easy. They die in production because production is real.
@Hydra_db's Founder Nish (@contextkingceo) said the quiet part out loud — "vector databases suck, similarity is not relevance" — and the demo signups haven't stopped since.
He raised $6.5M because he was the first to name what everyone in the room already knew.
If your retrieval layer is a flat embedding index, you're not building infrastructure. You're building a liability with a prettier name.
𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒
(00:00) AI Needs Context
(01:30) HydraDB Explained
(07:41) Vector Search Breaks
(09:32) Messaging That Converts
(13:41) Writing the Viral Tweet
(16:07) Similarity Not Relevance
(20:46) POC to Production Gap
(35:35) Raising 6.5 Million Fast
(39:33) Founder Lesson on Messaging
This is a @Composio "Agents at Work" podcast, where I chat with founders building the next leap of AI.
Follow for more:)
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HydraDB retweeted
May 13
woohoo!! "people do not know what they want until you show it to them" ~Steve Jobs
May 13
Vector databases are a scam.
Not technically, they do exactly what they say. Return the most cosine-similar string to your query. The scam is the entire industry pretending that's the same thing as relevance.
It isn't.
Search "Apple." You get the fruit, the company, the watch, and a recipe blog. Your agent picks one at random and calls it retrieval. Your customer calls it broken.
Most AI agents shipping right now are duct-taped on top of this. They demo well because demos are easy. They die in production because production is real.
@Hydra_db's Founder Nish (@contextkingceo) said the quiet part out loud — "vector databases suck, similarity is not relevance" — and the demo signups haven't stopped since.
He raised $6.5M because he was the first to name what everyone in the room already knew.
If your retrieval layer is a flat embedding index, you're not building infrastructure. You're building a liability with a prettier name.
𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒
(00:00) AI Needs Context
(01:30) HydraDB Explained
(07:41) Vector Search Breaks
(09:32) Messaging That Converts
(13:41) Writing the Viral Tweet
(16:07) Similarity Not Relevance
(20:46) POC to Production Gap
(35:35) Raising 6.5 Million Fast
(39:33) Founder Lesson on Messaging
This is a @Composio "Agents at Work" podcast, where I chat with founders building the next leap of AI.
Follow for more:)
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HydraDB retweeted
May 8
most skill marketplaces are broken
hard to find experts approved skills for particular niches
so i built skillmake.xyz with creator focused skills with videos to learn about each skill
the website below was created using kling and ui-ux-max skills combined, so i created my own in one skill called "kling-motion-web" pushed to above as well
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HydraDB retweeted
May 6
vibemaxxing with matcha hackathon!!
It's a wrap with coolest latte art brilliant projects built with @hydra_db @gmi_cloud @PixVerse_ @photon_hq
and special thanks to @HumanDeltaAI for the venue very last minute!!
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HydraDB retweeted
May 6
Welcoming the VP of SoftBank Vision Fund and Arm!
He came through with swag built from his own startup @SpiritStAI
We talked about the moats he actually looks for in AI startups, hacker houses or waiting in boardrooms!
Thanks @byte721 for the incredible insights and for pulling up to @hydra_db.
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HydraDB retweeted
May 4
a wrap for the matcha a hackathon!!
/ build matcha
/ build code
prizes given for best latte art & best project including MacBook Air!!
thanks @hydra_db @gmi_cloud @photon_hq @HumanDeltaAI for sponsoring with us!!
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HydraDB retweeted
Apr 30
48 hours to go:
/ build matcha
/ build code
MacBook Air $1000 in prizes
the hackathon SF deserves, sign up below
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HydraDB retweeted
Apr 30
inside Smallest AI office, @kamath_sutra on what's the missing piece for voice agents!!
why Lightning TTS, ultra-low latency voice models needs @hydra_db the knowledge and context layer for AI Agents!!
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HydraDB retweeted
Apr 29
the hackathon SF deserves!
/ build matcha
/ build code
best matcha wins
best code wins
upto $1000 to be won lots of fun creating matcha art!!
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HydraDB retweeted
Apr 29
the hackathon you asked for!!
build
/matcha
/code
best matcha wins
best code wins
upto $1000 to be won lots of fun creating matcha art!!
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HydraDB retweeted
Apr 27
build matcha or build code?
why not both.?
this Saturday!!
Apr 26
most hackathons are boring..
planning one where you make your own matcha alongside your code
best matcha wins, best build wins
if you want to partner or just show up, DM me
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HydraDB retweeted
Apr 26
most hackathons are boring..
planning one where you make your own matcha alongside your code
best matcha wins, best build wins
if you want to partner or just show up, DM me
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HydraDB retweeted
Apr 24
most flight tools answer "where can I go?"
Wrong question.
The right one is "when should I go?"
So I built Offpeak
A budget travel almanac for SFO & JFK.
on budgetsf.com (tap on OffPeak)
Pick any month → the map lights up every city by season:
🟢 off-peak
🟡 shoulder
🔴 peak
Tap a city for:
• Realistic fare range
• Why it's cheap or pricey right now
• One-click Google Flights, dates pre-filled
The chat runs on real U.S. DOT/BTS airfare data. Ask it "cheapest city pairs right now," save notes, or extract destinations into a personal graph
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