Customer research form built with Elm

Hacker News

Hello there, I've built my first Elm [1] app, and I must admit it was pretty exciting and can't wait to use Elm again very soon. [2] I've written about my experience. [3] It's open source as well. It is a small customer research form when doing call/interview with users/customers. It simply logs the learnings you are receiving from the customer. You may optionally send the learnings to an existing or new [4] Roadmap account. Roadmap is my SaaS that helps with feedback management, product prioritization and communicating product vision via product roadmaps. I'd say this is the main benefit of this tool; it is another feedback channel for the centralized feedback inbox inside Roadmap. I wanted to build something tiny as first production app with Elm, and this tool was perfect to learn the basics. Any feedback is appreciated.

Visit product View on Hacker NewsMar 27, 2018

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best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: exist, open source, existing · Missing: https docs, excited, just released

64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: soon, users · Missing: plus, platform, intuitive

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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