Hoshang07

5 ms·

1.
Queryable context graphs to audit AI decision-making(pylar.ai)
1 points by Hoshang07 9mo ago|0 comments
2.
How to safely let LLMs query your databases via sandboxed materialized views(pylar.ai)
1 points by Hoshang07 9mo ago|1 comments
3.
by Hoshang07 9mo ago
The 5 layers of safely connecting agents to your databases: Most AI agents need access to structured data (CRMs, databases, warehouses), but giving them database access is a security nightmare. Here's a layered architecture that addres
4.
SQL IDE that converts data views into MCP tools(docs.pylar.ai)
1 points by Hoshang07 10mo ago|0 comments
5.
Show HN: Pylar – Fix over-querying, data leaks, and governance for AI agents(pylar.ai)
1 points by Hoshang07 10mo ago|0 comments
6.
Designing RBAC for AI Agents(pylar.ai)
1 points by Hoshang07 10mo ago|0 comments
7.
A $5 Domain Purchase Exposed Critical AI Agent Security Flaws – Deep Dive(pylar.ai)
3 points by Hoshang07 11mo ago|0 comments
8.
Structured data access layer for AI agents(docs.pylar.ai)
1 points by Hoshang07 11mo ago|0 comments
9.
by Hoshang07 11mo ago
We’re putting together a small Slack group for ops, data and devs who are hands-on building internal AI agents — people experimenting with things like n8n, LangGraph, Zapier, Make, OpenAI agents, Agno, or custom setups. The goal’s to share
10.
The AI Localhost(getairbook.notion.site)
4 points by Hoshang07 11mo ago|1 comments
11.
by Hoshang07 1y ago
@auslegung - Do you let agents touch internal structured data stored in a warehouse (for example)? If so, how do you do that today? Would love to have your thoughts on this - https://youtu.be/98PZMcYQKDI
12.
AI agents + Data warehouses- How to make them talk safely?(pylar.ai)
1 points by Hoshang07 1y ago|0 comments
13.
by Hoshang07 1y ago
yes.. that makes a lot of sense to me. I'm almost imagining building an evals layer to show which views were useful (or not) for the agent to do it's thing.. so i'd know whether to increase/decrease the scope of the view
14.
by Hoshang07 1y ago
that's a good baseline..db rbac locks scope, but i guess not behavior. inside that schema the agent can still fire off wide scans, weird joins, or grab way more rows than needed.. Ai can write apt queries for sure but there's alwa
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Ask HN: Non-career ending way to let agents touch internal structured data?
2 points by Hoshang07 1y ago|4 comments
16.
Show HN: Schema aware AI to build data products(airbook.io)
1 points by Hoshang07 1y ago|0 comments
17.
Show HN: Airbook – Cursor for Analytics
3 points by Hoshang07 1y ago|0 comments
18.
by Hoshang07 1y ago
fixed a few things, here's a new link - https://claude.ai/public/artifacts/037456ea-caa4-420f-90c0-d... (the old link still works too)
19.
Show HN: A Startup Ops Simulation Game Using Claude(claude.ai)
1 points by Hoshang07 1y ago|1 comments
20.
Data Notebook for GTM Analytics(app.arcade.software)
1 points by Hoshang07 1y ago|0 comments
21.
RevOps and Data when scaling from Seed to Series C+(getairbook.notion.site)
1 points by Hoshang07 1y ago|0 comments
22.
PLG Funnel Overview(app.airbookhq.com)
1 points by Hoshang07 1y ago|0 comments
23.
by Hoshang07 2y ago
Nice work!
24.
Airbook – The Modular Data Workspace for Startups(airbook.io)
1 points by Hoshang07 2y ago|0 comments
25.
Convert your data notebook to CDP instantly(airbook.io)
1 points by Hoshang07 2y ago|1 comments
26.
by Hoshang07 2y ago
Hey HN! We've been working on Airbook, a tool that helps teams turn their data notebooks into fully functional CDPs—instantly. Most companies either struggle with fragmented customer data or spend months engineering a homegrown solutio
27.
The Effect of Dark Mode on Honesty(sciencedirect.com)
1 points by Hoshang07 2y ago|0 comments
28.
Show HN: Power Growth Campaigns from Your BI Dashboards(airbook.io)
3 points by Hoshang07 2y ago|0 comments
29.
Show HN: The Full Stack Data Workspace-Ingestion to Activation on Notion Like UI(airbook.io)
1 points by Hoshang07 2y ago|0 comments
30.
by Hoshang07 2y ago
Thanks Peter! You're 100% right. At the moment, we're built to handle reasonably large volumes of data and making it super fast is something we're definitely taking care off.

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