Aha!

Ruby or TypeScript for AI-generated application code? The current AI tooling ecosystem points toward TypeScript. But token efficiency points toward Ruby — and a recent Claude Code benchmark put Ruby at the top for AI-generated task success across languages. Strong conventions reduce hallucinations. A mature library ecosystem means the AI reaches for proven code instead of inventing it. TypeScript pushes back: Strict typing acts as a map for the model, and the AI SDK ecosystem is built JavaScript-first. Chris Waters wrote up the architectural trade-offs: https://lnkd.in/gqd-BEdN

Analyze research data alongside customer interviews. Upload market surveys, net promoter scores, usability test results, and product usage data to Aha! Discovery as a CSV or XLS file. Then use Elle, the AI assistant, to surface insights and connect key learnings to your roadmap. Put all your research in one place where you can act on it. 👉 https://lnkd.in/gnjm5UER

No need to build every dashboard from scratch. This clip shows how to pull one together quickly using example panels and saved views. 👉 Check out the full replay: https://lnkd.in/grevDF3U

Aligning processes across teams requires more than just a mandate — it takes trust. Jackie Tappan, a Principal Technical PM at Baker Hughes, relied on open communication and transparency to bring teammates together and standardize tools. Get more of Jackie's story: https://lnkd.in/gV2Y2-CQ

Add the exact product info you need onto your whiteboards. Add live fields from Aha! records — status, assignee, due date, and more — right where you plan. Records update automatically, and teams stay aligned and focused. https://lnkd.in/gfr387vP

Friday afternoon. You message the team: "Please submit your timesheets before EOD so we can bill the client." Half of them scramble to remember what they worked on. They log into a time-tracking tool they have not touched all week.  The data ends up incorrect, late, or (most likely) both. We just added timesheets in Aha! Develop and Aha! Teamwork to fix this. Effort logged on work items flows directly into your timesheet. Set billing rates, manage codes, and approve submissions — all where the work happens. See how it works: https://lnkd.in/gR_iU67n

1 million product builders rely on us. Not just our software — but our expert knowledge and point of view on how to get work done and do it well. Marketing at Aha! is about the craft. We hold high standards. We collaborate closely (but remotely). We think strategically about how to reach our audience and tell stories that resonate. When you join, you won't be spending time on sales collateral. (We actually don't have any salespeople.) Our marketing team is directly responsible for growth — helping top product teams discover and adopt new ways of working with Aha! software. And right now, we are hiring a Sr. Writer, Sr. Demand Manager, and Sr. Product Marketing Manager. If that sounds like your kind of work → https://lnkd.in/gaa4BQ8q

In Aha! software, you can prototype in different ways for different purposes: 🔍 Doing early discovery? Make a quick, lightweight prototype on a whiteboard. 🧪 Validating a feature concept? Generate a prototype with AI, embed it for the team's review, and apply changes fast. 👥 Ready to demo to customers? Build a prototype backed by a database that works like the real thing. Learn more about the best ways to use each kind of prototype: https://lnkd.in/gQYeNQ8b

Fully remote team = hyperlocal impact. 💙 Learn about our Aha! Cares program: https://lnkd.in/gJ_fDSyE

Not all prototypes serve the same purpose. The right type to create depends on the question you're trying to answer: 🔍 Discovery → Do users care? 🖱️ Usability → Does this flow make sense? ✅ Feasibility → Can we build this? 💰 Viability → Will people pay for it? 📈 Integration → How does this fit with what exists?