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Athenic 2.0

A faster, smarter Athenic. Analyze on autopilot.

Analytics
Business Intelligence
Data Visualization
Visit WebsiteSee on Product Hunt

Hunted byJared ZhaoJared Zhao

Athenic is an AI agent for analyzing data and automating work. Connect your data, chat in plain English, and ship dashboards, reports, and automations. Built for startups to Fortune 500.

Top comment

👋 Hey, Product Hunt, long time no see!

We first launched Athenic in 2023, and a lot has changed since.


Most "chat with your data" tools (Athenic 1.0 included) stop at an answer. Athenic 2.0 keeps going: it builds the dashboard, writes the report, and re-runs analyses on schedule — ask once, not every Monday.

Here's what's new:

  • Automations — recurring analyses delivered to your inbox

  • Business apps — connect your CRM, ERP, paid media channels & more, not just SQL databases

  • Agentic Web research — Athenic monitors your competitors and surfaces market trends on its own

  • Improved Charting — build full dashboards though chat, with more chart types and customizations

New usage-based pricing too, pay only for what you use. 2,000 free credits to start, no credit card required.

Happy to answer any questions and always grateful for feedback. What's the first thing you'd put on autopilot? 👇

— Jared

Comment highlights

The part I find most interesting is trusting an agent to pick the join paths across tables on its own — that's usually where text-to-SQL tools quietly get the number wrong but still return something confident-looking. How are you handling the cases where the schema is ambiguous: does Athenic show its reasoning / the SQL it ran so an analyst can sanity-check, or is it more of a trust-the-answer flow?

@eggro @jared_zhao The “analyze on autopilot” angle is strong if it helps teams move from dashboards to decisions. A lot of analytics tools show what happened, but the real value is surfacing what changed, why it matters, and what someone should look at next.

the agentic data analyst framing implies the agent takes initiative rather than just responding. curious what the actual agent behavior looks like in practice. does it proactively flag anomalies in connected data, suggest analyses you haven't asked for, or is the agent label more about multi-step reasoning within a query than about autonomous action between sessions. the distinction matters a lot for how people would integrate this into their workflows

About Athenic 2.0 on Product Hunt

A faster, smarter Athenic. Analyze on autopilot.

Athenic 2.0 launched on Product Hunt on June 14th, 2026 and earned 144 upvotes and 8 comments, placing #4 on the daily leaderboard. Athenic is an AI agent for analyzing data and automating work. Connect your data, chat in plain English, and ship dashboards, reports, and automations. Built for startups to Fortune 500.

Athenic 2.0 was featured in Analytics (172.3k followers), Business Intelligence (3.6k followers) and Data Visualization (3.6k followers) on Product Hunt. Together, these topics include over 18.1k products, making this a competitive space to launch in.

Who hunted Athenic 2.0?

Athenic 2.0 was hunted by Jared Zhao. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Want to see how Athenic 2.0 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.