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Howard Chi 🪶 Profile
Howard Chi 🪶

@chilijung

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260
Following
890
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921

Cofounder of Wren AI @getwrenai, open-source #GenBI the future of business intelligence. I have worked on data, SaaS, and startups for the past 10+ years.

Joined February 2012
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@chilijung
Howard Chi 🪶
5 months
To me, GenBI's power isn’t in chatting—it’s in thinking. It learns, memorizes, adapts, and acts on data like never before. This isn’t just BI upgraded; it’s a new breed.
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@chilijung
Howard Chi 🪶
2 months
The future of BI isn’t dashboards. It’s conversations. It’s context. It’s real-time answers in your workflow. We’re building that future with Wren AI. Come help. Or try it today:. 🔗 💻
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github.com
⚡️ GenBI (Generative BI) queries any database in natural language, generates accurate SQL (Text-to-SQL), charts (Text-to-Chart), and AI-powered insights in seconds. - Canner/WrenAI
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@grok
Grok
1 day
What do you want to know?.
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@chilijung
Howard Chi 🪶
2 months
That’s why we’re open-sourcing Wren AI. Because this shift needs more builders, faster adoption, and shared innovation. BI shouldn’t be locked behind logins.
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@chilijung
Howard Chi 🪶
2 months
We’re not just building a tool. We’re building for the moment when:. Wren AI is your analyst in the loop. not another tab to open.
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@chilijung
Howard Chi 🪶
2 months
Dashboards will still exist, but behind the scenes. But the interface is changing:.- Slack.- Teams.- Your SaaS app. BI will be ambient, embedded, and invisible.
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@chilijung
Howard Chi 🪶
2 months
That’s the shift @getwrenai is built for:.💬 Natural language → SQL → Chart → Action.No setup. No delays. No “Can you pull this for me?” emails. Just ask. And get insight. Where you already work.
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@chilijung
Howard Chi 🪶
2 months
We’ve entered the post-dashboard era:.- Chat UIs are faster.- Embedded analytics are more useful.- LLMs now understand business logic. So why force users to drag-and-drop when they can just ask?.
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@chilijung
Howard Chi 🪶
2 months
Most BI tools are built around one assumption:.📊 The user wants to build a chart. But here’s the truth:.99% of people don’t want a chart. They want an answer — fast, clear, and in context.
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@chilijung
Howard Chi 🪶
2 months
Dashboards aren’t going away. They’re just going invisible. Here’s why the best BI tools of the next decade….won’t even look like BI tools 👇.
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@chilijung
Howard Chi 🪶
2 months
Get insights from DBs in seconds, not days.
@GithubProjects
GitHub Projects Community
2 months
Wren AI is your GenBI Agent, that you can query any database with natural language → get accurate SQL(Text-to-SQL), charts(Text-to-Charts) & AI-generated insights in seconds.
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@chilijung
Howard Chi 🪶
2 months
If you’re building a startup and tired of flying blind on your own data:. - Don’t wait to hire a data team. - Don’t waste days in dashboards. Wren AI is also open sourced, and built for teams like yours. 👉 ⭐️ GitHub:
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github.com
⚡️ GenBI (Generative BI) queries any database in natural language, generates accurate SQL (Text-to-SQL), charts (Text-to-Chart), and AI-powered insights in seconds. - Canner/WrenAI
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@chilijung
Howard Chi 🪶
2 months
Wren AI isn’t trying to guess the future. It won’t forecast churn or write strategy for you. But it will:.- Understand your schema.- Write precise SQL.- Return answers you can pin, share, and trust.
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@chilijung
Howard Chi 🪶
2 months
We wanted to share it. So we open-sourced the whole thing:.→ Because every startup should have access to AI data tooling, without the vendor tax.
Tweet card summary image
github.com
⚡️ GenBI (Generative BI) queries any database in natural language, generates accurate SQL (Text-to-SQL), charts (Text-to-Chart), and AI-powered insights in seconds. - Canner/WrenAI
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@chilijung
Howard Chi 🪶
2 months
So we built Wren AI, our internal GenBI agent. Now anyone on our team can ask:.✅ “How many users dropped off after signup?”.✅ “What’s our MRR trend in the last 3 months?”.✅ “Which plans are most churn-prone?”. Wren answers. Fast. No SQL. No dashboard hell.
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@chilijung
Howard Chi 🪶
2 months
We hit the same wall over and over:.- Product wants insights.- Growth wants attribution.- Support wants usage stats.- Everyone slacks the data team. And the data team?.Drowning in repetitive SQL requests.
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@chilijung
Howard Chi 🪶
2 months
Every startup says they’re data-driven. But if you need a data engineer to answer:. “What’s our user activation rate this week?”.You’re not data-driven. You’re blocked. Here’s why we built Wren AI—and open-sourced it for every small team 👇.
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@chilijung
Howard Chi 🪶
2 months
6/6 This applies beyond crypto. Any business drowning in data but struggling for quick answers faces the same challenge. The shift from "let me pull that data" to "here's your answer" changes how teams operate. 🚀Follow me @chilijung for more GenBI insights. 👇Check the whole.
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@chilijung
Howard Chi 🪶
2 months
5/6 What surprised me: It wasn't about better dashboards or more data. It was making data access as natural as asking a colleague. When insights flow freely, everything speeds up—decisions, client service, opportunity capture.
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@chilijung
Howard Chi 🪶
2 months
4/6 Results after 3 months:. Support team prevents churn proactively.Sales got laser-targeted.Leadership makes faster decisions.Client retention improved significantly. The key? Removing friction between questions and answers.
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@chilijung
Howard Chi 🪶
2 months
3/6 Instead of hiring more analysts, they tried conversational analytics. Now anyone asks their database questions in plain English:. "Show me top traders this month"."Which VIP clients need attention?"."What's trending in trades?". Instant answers. No SQL needed.
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@chilijung
Howard Chi 🪶
2 months
2/6 The setup: Growing fast but drowning in their own success. Simple questions like "which clients haven't traded recently?" meant waiting 2-3 days for their analyst to run reports. In crypto markets, that's too slow. Sound familiar?.
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