Joined April 2020
- Tweets 21,452
- Following 462
- Followers 45,280
- Likes 81,000
2,262 Photos and videos
Pinned Tweet
Jun 10
Your medical history should not be scattered across PDFs, portals, emails, lab reports, and doctor notes.
MedQuery is our healthcare showcase for Inflectiv: one structured patient dataset, stored on Walrus, sealed with Seal, and shared safely between patient and doctor.
Here’s why it matters 👇
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Jun 12
New in Inflectiv 2.3: cross-dataset queries.
One API call. Multiple datasets. One answer.
How it works:
1. Get a global API key (inf_global_*)
2. Call the cross-query endpoint
3. Inflectiv searches across all your datasets simultaneously
4. Get a unified, sourced answer
Your compliance docs product docs SOPs, all queryable in one shot.
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Jun 10
Your medical history should not be scattered across PDFs, portals, emails, lab reports, and doctor notes.
MedQuery is our healthcare showcase for Inflectiv: one structured patient dataset, stored on Walrus, sealed with Seal, and shared safely between patient and doctor.
Here’s why it matters 👇
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Jun 10
Inflectiv makes the record alive.
Upload a new lab report, and it becomes part of the dataset.
The doctor adds a visit note, and it is written back with source and timestamp.
Every interaction improves the shared patient history instead of creating another disconnected file.
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Jun 10
MedQuery is a showcase, not a clinical product yet.
But the loop is clear:
ingest → structure → seal → permission → query → update
Scattered records become private, structured patient intelligence.
Try it: medquery-patient-doctor.lova…
Should we build this further?
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Inflectiv AI ⧉ retweeted
Jun 1
Stop shipping brainless agentic apps!
With $1 and under 30 minutes, we built EasyBD: a functional Web3 BD showcase app that scans your project, structures it, matches partners, scores the fit, and writes learnings back into Inflectiv.
Here’s how 👇🧵
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Jun 7
Most Web3 AI agents look genius in the demo.
Run them twice. They forget you exist.
Five builders on Inflectiv kept landing on the same realization this week 👇
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Jun 7
5️⃣ Markets Run On Liquidity. Agents Need The Same, For Data.
@mohdesso found the comparison that lands.
Trading without liquidity grinds to a stop.
Inflectiv is the liquidity layer underneath the agent economy.
x.com/mohdesso/status/205776…
Just like trading needs liquidity to be efficient, agents also needs one, but this time its a liquidity of data that is needed.
I found one project that is focused on such a utility
The project is @inflectivAI they basically collect and organize data from several sources and formats like PDF, docs, logs, etc
Inflectiv processes all these types of messy data and turns it into a structured dataset that agents can use
Not only this, but it also allows the agents to write updates on the data and thus the dataset gets cleaner and more useful over time instead of resetting every run.
If you are a builder and struggling to fetch and organize data from several sources then head to Inflectiv and try it out
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Jun 7
Memory. Liquidity. Verification. Persistence. Compounding context.
Five builders. Five directions. One conclusion: the agent was never the bottleneck. The intelligence layer underneath was.
That layer is Inflectiv.
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Jun 4
Every AI model is trained on data.
The question is: who owns it?
Join our Tech Lead, @heenie1998 (Maheen), tomorrow at the @ClusterProtocol Roundtable AMA as the conversation dives into data ownership, attribution, and the future of AI.
🗓️ 5th June | ⏰ 2:30 PM UTC
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