Bonacci Studio
Agentic, Visual Data Engineering and Data Science Platform
What this is
An agentic data engineering platform that connects to your database, writes and runs PySpark/SQL, and includes a visual DAG builder.
Our one-line summary — not the founder’s tagline.
- How it works
- An agent connects to a database, inspects schemas, writes PySpark or SQL, executes it on Spark, streams logs back, and debugs its own failures; also includes a visual drag-and-drop DAG builder, Kafka streaming, Apache Camel API integration, RAG knowledge bases, and native MCP support, letting users bring their own model (Claude, GPT, Gemini, Groq, or local via Ollama).
- What's different
- Goes beyond generating a code snippet — it actually runs and debugs the code itself.
What we measured
Nobody else publishes this — it comes from knocking on the door every day.
- Watched by us
- 9 days
Where it shows up
Every group here is a page of its own — each one checked daily.
The numbersIs it still shipping, is it overpriced, where did it land — and what the price is built from.
League price & chart
No money. No seat. It goes on your record — and in 28 days reality settles it.
Calls are closed while we rebuild accounts. You can still read every one of them.
AI. Launched 9d ago on Product Hunt, picking up 10 votes. Today, it's been quiet for 9 days and the price has started to bleed.
Already bleeding a little every day, and it accelerates the longer it stays quiet.
We check this site every day, ourselves. A founder can post “still working on it” — a claim like that doesn't price. What we price is what we can verify from the outside: evidence, not announcements. The real question isn't “will this be huge?” — it's “will they still be moving in four weeks?”
The market viewHow this launch is priced and ranked in our league — the investor side of the page.
ranked by the reality anchor, not the market price
It launched on Product Hunt with 10 votes.
No matter how much money goes in. There is no pump here — you can't make yourself right by buying more. The line only moves on things that actually happened: an award, revenue that grew, a new platform, code that shipped — or silence.
A launch that goes quiet eases down a little at a time — never a cliff you could have run from the night before.
Daily tracking just started for this launch — the first point is on the board. A second reading lands with tomorrow's run, and the curve builds from there.
How the launch is moving on its own board, day by day — the crowd's attention.
A flat line is normal: votes stop within a day or two of launch, on every board. What's unusual — and what actually counts — is a launch that keeps pulling votes long after its day is over.
About
Most AI data tools stop at generating a snippet you still have to run yourself. Bonacci Studio's agent has real tool access: it connects to your database, inspects schemas, writes PySpark or SQL, executes it on Spark, streams logs back, and debugs its own failures. Also included: a visual drag-and-drop DAG builder, Kafka streaming, Apache Camel API integration, RAG knowledge bases, and native MCP support. Bring your own model - Claude, GPT, Gemini, Groq, or fully local via Ollama
Where it launched
1 platform| Platform | Votes | Counts toward price | Link |
|---|---|---|---|
| Product Hunt | 10 | sets the price | ↗ |
The board it did best on sets the price. Every other board only adds to it if the launch also placed high on that board too — because just showing up somewhere isn't an achievement. Listing on twelve directories is free; placing well on them isn't.
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