NeoShift BI – Build AI-analyzed data dashboards in minutes

Name: NeoShift BI – Build AI-analyzed data dashboards in minutes
Availability: InStock
Author: DonWono

by DonWono·Feb 25, 2026·2 points·1 comment

Visit Project View on HN

AI Analysis

●●SolidShip ItSolve My ProblemEye Candy

CSV to dashboard in minutes; Claude auto-finds relationships, but PowerBI and Looker already own this space.

Strengths

•AI-driven schema introspection: Claude natively reads relationships, generates wide views, and powers chat-to-data queries without manual setup.
•Positioned explicitly for indie devs—lightweight alternative to PowerBI/Looker that doesn't require data engineering teams.
•Built on solid infrastructure: Google Cloud, Claude API, appears production-ready with public dashboards.

Weaknesses

•Crowded market: Metabase, Superset, Datasette, and dozens of AI BI tools already address this gap. No clear differentiation.
•Single public example (startup failure data); unclear if tool scales beyond toy datasets or handles real enterprise complexity.

Post Description

Hi HN, I'm Donald.

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!