HydraDB

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HydraDB

HydraDB

@hydra_db

HydraDB provides the developer tools and infrastructure to give agents context and memory.

sf Katılım Ağustos 2025
1 Takip Edilen3.7K Takipçiler
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Parv
Parv@ParvSondhi·
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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Julia Fedorin
Julia Fedorin@juliafedorin·
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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Harnoor Singh
Harnoor Singh@iHarnoorSingh·
woohoo!! "people do not know what they want until you show it to them" ~Steve Jobs
Julia Fedorin@juliafedorin

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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Harnoor Singh
Harnoor Singh@iHarnoorSingh·
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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Harnoor Singh
Harnoor Singh@iHarnoorSingh·
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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Harnoor Singh
Harnoor Singh@iHarnoorSingh·
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!!
Harnoor Singh tweet mediaHarnoor Singh tweet mediaHarnoor Singh tweet mediaHarnoor Singh tweet media
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Harnoor Singh
Harnoor Singh@iHarnoorSingh·
48 hours to go: / build matcha / build code MacBook Air + $1000 in prizes the hackathon SF deserves, sign up below
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Harnoor Singh
Harnoor Singh@iHarnoorSingh·
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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Harnoor Singh
Harnoor Singh@iHarnoorSingh·
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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Harnoor Singh
Harnoor Singh@iHarnoorSingh·
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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Harnoor Singh
Harnoor Singh@iHarnoorSingh·
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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Harnoor Singh
Harnoor Singh@iHarnoorSingh·
finding the best value places to travel each month is a struggle i remember one week Thailand trip in December is at $3,000, but Korea at $400, Same dates, opposite seasons. so I built offpeak, every city's peak & off-peak windows from SF, so best deals every month can be tracked! try at sf.offpeak.workers.dev also, you chat about the cities with RAG built on top of @hydra_db
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Harnoor Singh
Harnoor Singh@iHarnoorSingh·
I love when companies do 1 or 2 rounds and then work trial!! (6 rounds are a lot in 2026) also the reason I got onboarded so fast at @hydra_db with @contextkingceo
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