Show HN: NeoShift BI – Build AI-analyzed data dashboards in minutes
2 comments
Interesting direction. I’m curious how you’re handling schema drift and join discovery when Claude infers relationships.
Are you materializing AI-generated wide tables or regenerating them per query?
I’ve seen LLM-driven schema reasoning struggle once datasets exceed a few hundred columns would love to hear how you’re constraining token usage and maintaining deterministic outputs.
I’m a solo developer building NeoShift BI (and its backend companion, NeoShift ETL).
Enterprise BI tools like PowerBI or Looker are incredibly powerful, but they usually require dedicated data engineering teams to manage. On the other end of the spectrum, dumping a CSV into ChatGPT is great for a quick question but terrible for building reproducible, interactive, and shareable dashboards.
I wanted something in the middle: a lightweight BI tool tailored for indie devs and SMEs that lets you drop in a dataset and get a full dashboard with AI-generated insights in just a few minutes.
The Stack & Architecture:
Infrastructure: Google Cloud
AI Engine: Claude. We don't just use LLMs for text summaries; Claude powers the entire data infrastructure layer. It natively reads and understands your schema to power:
Data Studio Assistant: Automatically finds table relationships and generates complex wide views.
Chat-to-Data: Query your datasets naturally without writing SQL.
AI Chart Builder: Describe what you want to visualize, and the AI constructs the exact chart to drop into your dashboard.
Insight Blocks: Reasons directly over the live data to generate executive summaries and strategic takeaways.
The Demo (Why Startups Fail): To stress-test this, I dropped a Kaggle dataset of 409 startup post-mortems into NeoShift. The AI immediately highlighted that 75% of startups are actually killed by established Giants, not a lack of funding. You can see the generated dashboard and read the AI's analysis here: https://bi.neoshift.ai/#/public/dashboard/startup-failure-pr...
Stress-Test My App (The Open Beta Challenge): I just shipped a new "Public Share Links" feature and I want to test the infrastructure limits. I’m extending our Open Beta to March 27th and running a data storytelling challenge.
If you want to break my app or just visualize some cool data, grab a weird dataset from Kaggle, drop it into NeoShift, and share the link. I'm giving a Free Lifetime Enterprise Account (100GB storage, 5 seats) to the dashboard with the best combined score (unique views + feature usage).
To track the competition, I built a live Leaderboard using NeoShift BI itself (connected to the Google Analytics API). You can check the exact rules and current standings here: https://bi.neoshift.ai/#/public/dashboard/competition-leader...
You can unlock a free share link to test it out with code BETA-320430B4 here: https://bi.neoshift.ai/#/register
I’d love your brutal, unfiltered feedback on the UI, the depth of the Claude integration, and how the system handles whatever weird CSVs you throw at it. Happy to answer any questions about the architecture!